This comprehensive review explores the rapidly evolving field of fluorescence-guided surgery (FGS) using indocyanine green (ICG), a near-infrared fluorophore.
This comprehensive review explores the rapidly evolving field of fluorescence-guided surgery (FGS) using indocyanine green (ICG), a near-infrared fluorophore. It covers the fundamental biochemical and optical properties of ICG, establishes its proven and emerging applications across surgical oncology, emergency surgery, and precision procedures, and critically examines the methodological protocols and limitations influencing its efficacy. The article synthesizes current validation evidence from clinical trials and consensus guidelines, providing researchers and drug development professionals with a detailed analysis of this transformative technology that enhances intraoperative decision-making, improves oncological outcomes, and reduces surgical complications.
Indocyanine green (ICG) is a cornerstone agent in fluorescence-guided surgery (FGS), providing real-time intraoperative visualization to enhance surgical precision. Its utility in identifying anatomical structures, assessing tissue perfusion, and mapping lymphatic drainage is fundamentally governed by its unique biochemical profile and pharmacokinetics. This document details the molecular characteristics, protein-binding behavior, and hepatic clearance mechanisms of ICG, providing researchers and drug development professionals with structured data and methodologies essential for advancing FGS research.
ICG is a water-soluble, amphiphilic tricarbocyanine dye with a molecular mass of 751.4 to 774.96 Da [1] [2] [3]. Its molecular structure consists of a lipophilic benzoindole moiety and hydrophilic sulfonate groups, contributing to its amphiphilic nature [2]. This structure is critical for its function as a fluorophore and its interactions with biological components.
Table 1: Key Physicochemical and Optical Properties of ICG
| Property | Specification | Research Significance |
|---|---|---|
| Molecular Weight | 751.4 - 774.96 Da [1] [3] | Determines distribution volume and diffusion characteristics. |
| Solubility | Water-soluble [4] | Allows for intravenous administration and tissue-directed injections. |
| Absorption Peak (λmax) | 780–800 nm [1] [3] | Informs the selection of appropriate NIR light sources for excitation. |
| Emission Peak (λem) | ~830 nm [1] [3] | Guides the specifications of detection cameras and optical filters. |
| Tissue Penetration | 5–10 mm [4] | Defines the limitation for deep-tissue imaging applications. |
Upon intravenous injection, ICG exhibits rapid and extensive binding to plasma proteins, a defining characteristic of its pharmacokinetic profile.
ICG is exclusively eliminated by the liver, following a first-order kinetic model in healthy individuals [6] [3].
The following diagram illustrates the key processes involved in ICG's journey from injection to elimination.
Table 2: Key Pharmacokinetic Parameters of ICG
| Parameter | Typical Value | Physiological / Research Context |
|---|---|---|
| Protein Binding | 95% - 98% [6] [7] | Confines ICG to vascular space; critical for angiography. |
| Volume of Distribution | Close to plasma volume [6] | Confirms its role as a vascular marker. |
| Plasma Half-Life | 3 - 5 minutes [6] | Short half-life allows for repeated dosing in the same procedure. |
| Primary Elimination Pathway | Hepatic, unchanged into bile [6] | Makes ICG clearance a dynamic test of liver function. |
| Major Excretion Transporters | NTCP/OATP (Uptake), MRP2 (Excretion) [6] | Targets for potential drug-drug interactions. |
This protocol is adapted from methodologies used to assess burn wound severity and is applicable for evaluating tissue perfusion and viability in FGS models [1].
This non-invasive method is widely used in clinical and research settings for dynamic liver function assessment [6].
Table 3: Essential Materials for ICG-based Research
| Item | Function/Description | Example Use Case |
|---|---|---|
| ICG, Lyophilized Powder | The core fluorophore; must be reconstituted before use. | Preparing intravenous injections or solutions for tissue tattooing. |
| Human Serum Albumin (HSA) | Used in in vitro studies to model protein-binding interactions and kinetics. | Determining binding affinity constants and studying the effect of protein concentration on clearance [2] [8]. |
| Near-Infrared Imaging Systems | Specialized cameras and light sources that excite ICG and detect its fluorescence. | Intraoperative imaging, perfusion assessment, and lymph node mapping in animal or clinical studies [1] [7]. |
| Pulse Dye Densitometry Monitors | Non-invasive devices for transcutaneous measurement of ICG concentration. | Dynamic liver function testing in perioperative and critical care research [6]. |
| ICG Derivatives | Synthetically modified versions of ICG with altered chemical substituents. | Investigating structure-activity relationships to improve pharmacokinetics (e.g., reduced retention at injection site) [2]. |
The experimental workflow for tissue perfusion analysis, from setup to data interpretation, is summarized below.
Near-infrared (NIR) fluorescence imaging has emerged as a transformative technology in surgical guidance, effectively bridging the critical gap between preoperative imaging and intraoperative visualization. This technique operates within the NIR window (700-900 nm), where biological tissues exhibit significantly reduced autofluorescence and absorption compared to visible light spectrum [9]. The resulting high signal-to-background ratio creates what is often described as "white stars in a black sky," providing exceptional contrast for intraoperative imaging [9]. Indocyanine green (ICG), a water-soluble, amphiphilic tricarbocyanine fluorophore with a molecular weight of approximately 775 Da, has become the most widely implemented NIR fluorophore in clinical practice [10]. Since its initial medical applications in the 1960s for hepatic function assessment and cardiac output monitoring, ICG has evolved into a cornerstone of fluorescence-guided surgery across numerous surgical specialties [11]. Its unique properties—including rapid binding to plasma proteins, exclusive hepatic excretion, and an excellent safety profile—make it particularly suitable for intraoperative applications where real-time visualization of anatomical structures, tissue perfusion, and pathological processes is required [12]. The integration of ICG-based NIR fluorescence imaging represents a significant advancement toward precision surgery, enabling enhanced decision-making through improved visual assessment of critical structures that would otherwise be indistinguishable from surrounding tissues.
The photophysical characteristics of ICG underlie its effectiveness as a NIR fluorophore. When dissolved in blood or plasma, ICG exhibits an absorption peak at approximately 805 nm and an emission peak at 830 nm [11] [10]. This spectral profile places it ideally within the NIR window where tissue penetration is maximized. The fluorophore's quantum yield—the efficiency with which absorbed photons are converted to emitted fluorescence—increases more than three-fold when bound to plasma proteins, a phenomenon that occurs rapidly after intravenous administration [10]. This protein binding reduces molecular aggregation and increases the effective hydrodynamic diameter to that of the bound proteins, fundamentally influencing its distribution and transport characteristics for both tumor visualization and lymphatic mapping applications [10].
The excitation and emission cycle of ICG occurs on a nanosecond timescale, allowing a single fluorophore molecule to emit up to 100,000,000 photons per second under optimal illumination conditions [13]. This high photon flux enables detection of the fluorophore at low concentrations, with sensitivity potentially exceeding that of radionuclides used in nuclear imaging, though practical limitations exist due to tissue attenuation of the lower-energy NIR photons [13]. Unlike radionuclides that undergo irreversible decay, ICG molecules can be repeatedly excited, making them particularly suitable for prolonged procedures where continuous imaging is required.
The superior tissue penetration of NIR light represents a fundamental advantage of ICG-based imaging over visible fluorescence techniques. NIR light in the 700-900 nm range can penetrate biological tissues to depths of millimeters to centimeters, with reported penetration capabilities of up to 15 mm for ICG's 830 nm emission [9] [10]. This enhanced penetration stems from the unique interaction between NIR photons and biological tissues in this spectral window, where absorption by endogenous chromophores such as hemoglobin, melanin, and water is minimized [9].
The limit of sensitivity for all investigational NIR fluorescence camera systems is ultimately determined by light leakage through optical filters, which establishes the noise floor for detection [13]. While NIR light experiences considerably less attenuation than visible light, it still undergoes significant scattering in tissue, which fundamentally limits the spatial resolution achievable at greater depths. The practical penetration depth of 5-10 mm reported in clinical studies [12] enables visualization of subsurface structures while maintaining sufficient resolution for surgical guidance, though performance can be compromised in patients with significant obesity, inflammation, or scarring [12].
The exceptional signal-to-background ratio achievable with NIR fluorescence imaging stems from the minimal autofluorescence of biological tissues in the NIR spectrum [9]. Unlike visible wavelengths where endogenous fluorophores create substantial background signal, the NIR window provides a virtually black background against which exogenous fluorophores like ICG can be detected with high contrast [13]. This low autofluorescence enables the detection of ICG at tissue concentrations less than 50 nM in vivo, a sensitivity threshold unattainable with visible fluorescence agents due to endogenous autofluorescence establishing a higher noise floor [13].
The current limiting factor for sensitivity in clinical NIR imaging systems is "filter light leakage"—the imperfect rejection of backscattered excitation light by interference filters [13]. When this leakage creates a noise floor higher than the fluorescent signal from ICG, the sensitivity and effective penetration depth of the system are reduced. The technical challenge lies in matching tissue illumination sources with interference filters that reject several orders of magnitude of backscattered excitation intensity while efficiently collecting the comparatively weaker fluorescence signal [13].
Table 1: Key Photophysical and Performance Parameters of ICG
| Parameter | Value/Range | Clinical Significance |
|---|---|---|
| Absorption Peak | 805 nm [10] | Optimal excitation wavelength for imaging systems |
| Emission Peak | 830 nm [11] [10] | Determines detection filter requirements; affects tissue penetration |
| Tissue Penetration Depth | 5-15 mm [12] [9] | Limits depth of visualized structures; superior to visible light |
| Plasma Half-life | 150-180 seconds [10] | Determines timing windows for angiography vs. lymphatic imaging |
| Protein Binding | >80% (rapid) [10] | Increases quantum yield; affects hydrodynamic diameter and distribution |
| Safety Profile | Allergic reactions: ~1:10,000 [10] | Enables widespread use with minimal risk |
| Excitation-Photon Emission Rate | Up to 100 million photons/sec/molecule [13] | Enables high sensitivity detection |
Table 2: Clinical Performance of ICG Fluorescence Imaging Across Applications
| Clinical Application | Key Performance Outcome | Level of Evidence |
|---|---|---|
| Colorectal Anastomosis Perfusion | Reduced anastomotic leak rates (OR 0.58, 95%CI: 0.44–0.75) [11] | Multiple RCTs (High) |
| Lymph Node Retrieval in GI Cancer | Increased node retrieval by 6.32 nodes on average (95%CI: 4.43–8.22) [11] | Systematic Review (High) |
| Laparoscopic Cholecystectomy | Reduced operative time (WMD = -12.11 min); higher CBD identification (OR = 2.94) [14] | Meta-analysis (Moderate) |
| Intestinal Perfusion Assessment | Guided intraoperative decision-making in mesenteric ischemia [12] | Expert Consensus (Moderate) |
| Tumor Delineation in Brain Surgery | Sensitivity 91.42%, Specificity 41.38% for malignant brain tumors [15] | Cohort Study (Low) |
| Lymphatic Mapping in Colon Cancer | Metastatic nodes within fluorescent margins in 95.6% of pN+ cases [16] | Phase II Trial (Moderate) |
Purpose: To objectively evaluate tissue perfusion and viability in procedures such as intestinal anastomosis, reconstructive surgery, and management of acute ischemia.
Materials:
Procedure:
Technical Notes: Optimal dosing may vary by tissue type and patient hemodynamic status. In patients with compromised circulation (e.g., shock, vasopressor use), timing may be delayed. Fluorescence intensity can be affected by tissue characteristics including inflammation, edema, and obesity [12].
Purpose: To visualize lymphatic drainage patterns and identify sentinel lymph nodes or define oncologic resection margins.
Materials:
Procedure:
Technical Notes: Lymphatic mapping sensitivity for metastatic lymph node detection reported at 95.6% in colon cancer [16]. Timing between injection and imaging may vary by tumor type and location. For superficial tumors, transcutaneous lymphatic mapping may be possible pre-incision.
Purpose: To enhance visualization of malignant tumors and delineation from normal tissue using the enhanced permeability and retention (EPR) effect.
Materials:
Procedure:
Technical Notes: This technique capitalizes on the EPR effect in tumor tissues but has variable specificity (41.38% reported in brain tumors) [15]. Optimal timing may vary by tumor type and vascularity. Not suitable for all tumor types—best results in high-grade malignancies with disrupted blood-brain barrier or tumor vasculature.
Table 3: Essential Research Reagents and Materials for ICG Fluorescence Studies
| Item | Specifications | Research Function |
|---|---|---|
| ICG Formulations | Verdye, Diagnostic Green; 25mg vials | Primary fluorophore for NIR imaging; requires reconstitution |
| Sterile Diluents | Sterile water for injection, 0.9% saline | Solvent for ICG preparation; affects stability and aggregation |
| NIR Imaging Systems | PDE (Hamamatsu), SPY (Novadaq), Fluobeam, FLARE | Detection of NIR fluorescence; variable specifications |
| Robotic Integration | da Vinci Firefly, Olympus VISERA ELITE II | Integrated NIR imaging for minimally invasive surgery |
| Optical Filters | Bandpass 820-850 nm emission | Rejection of backscattered excitation light; critical for SNR |
| Light Sources | LED (760 nm) or Laser (780-806 nm) | Excitation of ICG fluorophore; wavelength determines penetration |
| Quantitative Software | Image analysis packages (e.g., MATLAB, ImageJ) | Quantification of fluorescence intensity, kinetics, and distribution |
| Model Systems | Animal models, tissue phantoms, cell cultures | Validation of imaging approaches and dose optimization |
The evolution from cardiac output measurement to modern surgical navigation represents a fundamental paradigm shift in medical practice, driven by the continuous pursuit of precision, minimal invasiveness, and improved patient outcomes. This progression mirrors the broader trajectory of medical technology, which has advanced from system-level physiological assessment to precisely targeted anatomical and functional guidance. The integration of fluorescence-guided surgery using indocyanine green (ICG) exemplifies the current state of this evolution, combining principles of dye dilution techniques with advanced optical imaging to provide real-time intraoperative visualization [17]. This technological convergence has created a new surgical landscape where quantitative physiological assessment and precise anatomical navigation coexist synergistically in the operating room.
The historical development of these technologies reveals a pattern of cross-pollination between diagnostic monitoring and therapeutic intervention. Initially developed for critical care monitoring, quantification techniques such as thermodilution and indicator dilution methods established the foundation for understanding dynamic physiological processes [18] [19]. Parallel advances in medical imaging, stereotaxy, and computer processing enabled the translation of these principles into surgical navigation systems that now provide surgeons with unprecedented visual feedback and anatomical orientation [20]. Today, this evolutionary pathway has culminated in fluorescence-guided surgery, which represents the integration of physiological monitoring principles with real-time anatomical visualization, particularly through the use of ICG fluorescence imaging [17] [4].
The historical development of cardiac output measurement represents a progressive journey toward greater accuracy, reduced invasiveness, and clinical utility. This evolution began with Adolf Eugen Fick's formulation of the Fick principle in 1870, which established the theoretical foundation for cardiac output calculation based on oxygen consumption and arteriovenous concentration differences [21] [22]. The Fick principle, while conceptually elegant, proved challenging to implement routinely in clinical practice due to difficulties in measuring oxygen consumption in critically ill patients [22].
The mid-20th century witnessed the development of indicator dilution methods, which introduced the concept of using tracer substances to measure blood flow. This approach was based on the Stewart-Hamilton principle, where a known quantity of indicator is introduced into the circulation and its dilution characteristics are analyzed over time [18] [21]. Early indicators included dyes, with subsequent evolution toward thermal indicators that enabled thermodilution techniques [19]. The landmark introduction of the pulmonary artery catheter (PAC) by Swan and Ganz in the early 1970s revolutionized bedside hemodynamic monitoring by simplifying thermodilution cardiac output measurement [19]. The PAC became the clinical standard for over two decades, despite ongoing concerns about its invasiveness and potential complications [18].
The late 20th and early 21st centuries have been characterized by a pronounced trend toward minimally invasive and non-invasive technologies. Pulse contour analysis techniques emerged as viable alternatives, estimating stroke volume continuously by analyzing the arterial pressure waveform [18]. These systems, including PiCCOplus, LiDCO, and FloTrac/Vigileo, reduced the need for pulmonary artery catheterization while providing additional hemodynamic variables [18]. Concurrently, completely non-invasive methods such as esophageal Doppler, transthoracic echocardiography, and impedance cardiography gained clinical traction, further expanding monitoring capabilities while minimizing patient risk [21].
Table: Historical Evolution of Cardiac Output Monitoring Technologies
| Era | Technology | Key Innovators/Developers | Principle | Clinical Impact |
|---|---|---|---|---|
| 1870 | Fick Principle | Adolf Eugen Fick | Oxygen consumption and arteriovenous difference | Theoretical foundation for cardiac output calculation |
| 1950s | Indicator Dilution | Stewart, Hamilton | Dye dilution curves | Introduced indicator-based flow measurement |
| 1970s | Pulmonary Artery Catheter (Thermodilution) | Swan, Ganz | Thermodilution via pulmonary artery | Bedside hemodynamic monitoring standard for decades |
| 1990s-2000s | Pulse Contour Analysis | Multiple (PiCCO, LiDCO, FloTrac) | Arterial waveform analysis | Reduced invasiveness while maintaining continuous monitoring |
| 2000s-Present | Minimally/Non-Invasive Techniques | Multiple (Esophageal Doppler, TTE, TEE) | Doppler, bioimpedance, echocardiography | Expanded monitoring applications with minimal risk |
Surgical navigation technology has its roots in late 19th century experiments aimed at precisely localizing anatomical structures within the human body [20]. The field developed substantially through the interplay of three key domains: neurosurgery, stereotaxy, and medical imaging. Neurosurgeons, faced with the challenge of operating on the delicate and complex brain, became early adopters of localization technologies to mitigate surgical risks and enhance patient outcomes [20].
The concept of stereotaxy (from Greek "stereo" meaning solid and "taxis" meaning arrangement) represented a major advancement, enabling precise intracranial targeting through mechanical head frames attached to the patient's skull [20]. Initially, these procedures relied on anatomical atlases for planning, which introduced inaccuracies due to individual anatomical variations. The advent of computed tomography (CT) in the 1970s and magnetic resonance imaging (MRI) in the 1980s revolutionized surgical navigation by providing patient-specific anatomical data for precise preoperative planning [20].
The transition from frame-based stereotaxy to frameless navigation in the 1990s, pioneered by David Roberts in neurosurgery, marked the inception of modern surgical navigation systems [20]. This innovation enabled real-time tracking of surgical instruments with continuous visualization of their position on preoperative CT or MRI scans. Contemporary navigation systems employ stereoscopic cameras emitting infrared light to determine the 3D position of reflective marker spheres attached to both the patient and surgical instruments [20]. This technology has expanded beyond neurosurgery to encompass ENT, spinal, orthopedic, and general surgical applications.
Table: Evolution of Surgical Navigation Technologies
| Era | Technology | Key Applications | Navigation Principle | Impact on Surgery |
|---|---|---|---|---|
| Late 19th Century | Early Localization Experiments | General anatomy | Mechanical guidance | Initial concepts of precise targeting |
| 1950s | Stereotactic Frames | Neurosurgery | Frame-based coordinate system | Enabled minimally invasive intracranial procedures |
| 1970s-1980s | CT/MRI Integration | Multi-specialty | Image-based planning | Patient-specific anatomy for preoperative planning |
| 1990s | Frameless Navigation | Neurosurgery | Optical tracking with reference arrays | Real-time instrument tracking with 3D visualization |
| 2000s-Present | Multi-Modality Integration | Multi-specialty | Combined imaging and tracking | Expanded applications and improved accuracy |
| 2010s-Present | Fluorescence-Guided Surgery | Abdominal, oncologic, emergency | Near-infrared fluorescence | Real-time physiological and anatomical visualization |
Fluorescence-guided surgery using indocyanine green represents the convergence of physiological monitoring principles and surgical navigation technologies. ICG is a water-soluble fluorophore that binds to plasma proteins and distributes rapidly in the bloodstream after intravenous administration [17]. When excited by near-infrared (NIR) light at approximately 800 nm wavelength, ICG emits fluorescence at around 830 nm, which can be detected by specialized cameras and overlayed on conventional white-light surgical images [17]. This capability provides surgeons with real-time visualization of physiological processes and anatomical structures that are otherwise indistinguishable under normal lighting conditions.
The mechanism of ICG fluorescence leverages fundamental principles of light-tissue interaction. NIR light penetrates biological tissues to a depth of 5-10 mm, allowing visualization of underlying structures despite surface obscuration by blood or other fluids [4]. Following intravenous injection, ICG remains confined to the vascular compartment due to its protein-binding characteristics, making it an ideal agent for assessing tissue perfusion and vascular anatomy [17]. The liver exclusively clears ICG with a short half-life, permitting repeated administration during prolonged procedures without cumulative toxicity [4].
The clinical applications of ICG fluorescence imaging have expanded rapidly across surgical specialties, with four main indication categories emerging: tissue perfusion assessment, lymph node mapping, visualization of vital anatomical structures, and tumor tissue identification [17]. In each application, ICG provides critical real-time information that enhances surgical decision-making, potentially reducing complications and improving patient outcomes [4].
The implementation of ICG fluorescence imaging in emergency surgery represents a significant advancement in managing complex and time-critical surgical conditions. According to the World Society of Emergency Surgery (WSES) international consensus position paper published in 2025, ICG fluorescence guidance improves intraoperative decision-making in emergency settings, potentially reducing procedure duration, complications, and hospital stays [4]. The technology exemplifies precision surgery by enhancing minimally invasive approaches and providing superior real-time evaluation of tissue viability and anatomical structures—areas traditionally reliant on the surgeon's subjective visual assessment [4].
Specific clinical scenarios in emergency surgery particularly benefit from ICG guidance:
Acute cholecystitis: ICG cholangiography facilitates identification of the extrahepatic biliary tract during laparoscopic cholecystectomy, helping to achieve the Critical View of Safety (CVS) despite inflammatory changes [4]. The WSES expert panel recommends ICG cholangiography for emergency cholecystectomies to reduce bile duct injuries and conversion to open surgery [4].
Intestinal ischemia: ICG angiography enables objective assessment of bowel viability in cases of intestinal ischemia, strangulated abdominal wall hernia, and mechanical intestinal obstruction, supporting decisions regarding resection margins and anastomotic viability [4].
Abdominal trauma: ICG perfusion assessment helps identify compromised tissue in solid organ injuries and assess anastomotic viability following traumatic bowel injuries [4].
Post-bariatric surgery emergencies: ICG angiography assists in evaluating tissue perfusion and identifying leaks in complex reoperative scenarios [4].
Successful implementation of ICG fluorescence in emergency settings requires appropriate training, equipment availability, and careful patient selection. Specific contraindications include known allergies to iodine or iodine-based contrast agents, as ICG contains sodium iodide [4].
This protocol outlines the standardized procedure for using ICG fluorescence imaging during emergency laparoscopic cholecystectomy for acute cholecystitis, based on the WSES consensus recommendations [4].
Materials Required:
Procedure:
ICG Preparation and Dosing:
Operating Room Setup:
Surgical Technique:
Image Interpretation:
Timeline Considerations:
This protocol details the methodology for objective quantification of tissue perfusion using ICG fluorescence, particularly for assessing bowel viability in emergency surgery for intestinal ischemia [17] [4].
Materials Required:
Procedure:
Baseline Imaging:
ICG Administration and Imaging:
Quantitative Analysis:
Clinical Decision-Making:
Validation and Quality Control:
Table: Essential Research Reagents and Materials for ICG Fluorescence-Guided Surgery Studies
| Reagent/Material | Specifications | Research Application | Technical Notes |
|---|---|---|---|
| Indocyanine Green (ICG) | 25mg vials, water-soluble | Primary fluorophore for perfusion and structural imaging | Reconstitute with aqueous solvent; protect from light; use within 6 hours |
| NIR Fluorescence Imaging System | 800nm excitation, 830nm detection | Real-time intraoperative imaging | Multiple platforms available (Karl Storz, Stryker, Medtronic) |
| ICG Vehicle Solution | Sterile water for injection | Solvent for ICG reconstitution | Preservative-free recommended for research consistency |
| Standardized ICG Formulation | Consistent purity and concentration | Controlled experimental conditions | Source from GMP-compliant manufacturers for reproducibility |
| Protein Binding Modulators | Albumin solutions, lipid emulsions | Modulation of ICG pharmacokinetics | Affects tissue distribution and clearance kinetics |
| Quantitative Analysis Software | Time-intensity curve generation | Objective perfusion assessment | Multiple proprietary and open-source options available |
| Reference Standards | Fluorescent phantoms with known properties | System calibration and validation | Essential for multi-center trial standardization |
| Animal Model Reagents | Species-specific anesthesia, surgical supplies | Preclinical validation studies | Consider species differences in ICG pharmacokinetics |
| Histopathological Correlation Reagents | Tissue fixation, staining materials | Validation of fluorescence findings | Gold standard for experimental endpoint assessment |
Table: Comparative Performance Metrics of Surgical Navigation and Monitoring Technologies
| Parameter | Traditional Monitoring (PAC) | Pulse Contour Analysis | Surgical Navigation | ICG Fluorescence |
|---|---|---|---|---|
| Invasiveness | High (vascular access required) | Moderate (arterial line) | Low (non-contact tracking) | Low (IV injection) |
| Spatial Resolution | N/A (systemic measurement) | N/A (systemic measurement) | High (mm precision) | Moderate (5-10mm penetration) |
| Temporal Resolution | Intermittent (minutes) | Continuous (beat-to-beat) | Real-time (sub-second) | Real-time (seconds) |
| Quantitative Output | Cardiac output, pressures | Stroke volume, cardiac output | 3D coordinate precision | Perfusion parameters, intensity values |
| Clinical Validation | Extensive | Moderate to extensive | Extensive in specific applications | Growing evidence base |
| Primary Applications | Critical care monitoring | Perioperative monitoring | Neurosurgery, orthopedics, ENT | Abdominal, oncologic, emergency surgery |
| Limitations | Complication risk, operator dependence | Signal quality dependence, calibration drift | Registration error, line-of-sight requirement | Tissue penetration, quantification challenges |
The ongoing evolution from cardiac output measurement to advanced surgical navigation continues to present numerous research opportunities and technological development pathways. The field of fluorescence-guided surgery is poised for substantial growth through the development of targeted fluorophores that specifically bind to molecular markers of disease processes [17]. These next-generation imaging agents will enable visualization of cellular and molecular processes in real time during surgical procedures, moving beyond the currently available perfusion and structural information provided by ICG.
Quantitative fluorescence imaging represents another critical research direction. Current ICG applications primarily rely on qualitative assessment, which introduces subjectivity and inter-observer variability [17]. Advanced quantification methodologies, including standardized intensity measurements, kinetic parameter analysis, and normalized perfusion indices, will enhance objectivity and reproducibility. The development of real-time quantification algorithms that automatically analyze fluorescence data and provide surgical decision support will represent a significant advancement in the field.
Integration of fluorescence guidance with other advanced technologies such as augmented reality displays, artificial intelligence-based image interpretation, and robotic surgical platforms will create powerful multi-modal surgical guidance systems [4]. These integrated platforms will fuse preoperative imaging data, real-time navigation information, and physiological fluorescence data into unified displays that enhance surgical precision and decision-making.
Further validation through randomized controlled trials is essential to establish evidence-based protocols for ICG use across surgical specialties and specific clinical scenarios [4]. The recently published WSES consensus guidelines provide a foundation for standardized implementation, but ongoing clinical research is needed to refine dosing, timing, and interpretation standards [4]. Cost-effectiveness analyses will also be crucial for widespread adoption, particularly in resource-constrained healthcare environments.
The historical evolution from cardiac output measurement to sophisticated surgical navigation systems demonstrates how diagnostic monitoring principles have progressively transformed surgical practice. Fluorescence-guided surgery with ICG represents the current culmination of this evolutionary pathway, combining physiological assessment with anatomical visualization to enhance surgical precision and patient outcomes. As this field continues to advance, it promises to further blur the boundaries between diagnostic monitoring and therapeutic intervention, ultimately fulfilling the promise of truly personalized and precision surgery.
The Enhanced Permeability and Retention (EPR) effect is a universal pathophysiological phenomenon in solid tumors responsible for the selective accumulation of macromolecular compounds and nanomedicines within the tumor interstitium [23] [24]. First observed in 1984 and formally termed in 1986, this effect provides the fundamental rationale for passive tumor targeting in cancer therapy, forming a critical basis for fluorescence-guided surgery (FGS) research using indocyanine green (ICG) [24].
The EPR effect stems from key abnormalities in solid tumors:
For FGS using ICG, understanding and leveraging the EPR effect is essential for optimizing tumor visualization and intraoperative guidance.
Table 1: Key Quantitative Evidence Supporting the EPR Effect
| Evidence Type | Experimental Finding | Measurement Method | Clinical/Preclinical Relevance |
|---|---|---|---|
| Nanoparticle Accumulation | 10-15 fold higher concentration in tumor vs. normal tissue [23] | Measurement of pegylated liposomal doxorubicin tumor concentration | Confirmed in human clinical trials |
| Vascular Pore Size | Gaps between endothelial cells: 100-780 nm [24] | Electron microscopy of tumor vasculature | Determines optimal nanocarrier size |
| Molecular Size Threshold | >40 kDa for significant EPR effect [23] [24] | Comparison of serial molecular sizes of HPMA copolymers | Guides drug conjugate design |
| Hydrodynamic Diameter | AGuIX nanoparticles: 4 ± 2 nm [24] | Dynamic light scattering | Enables effective tumor penetration |
Table 2: Clinical Impact of ICG in Fluorescence-Guided Gastrointestinal Surgery
| Surgical Application | Clinical Outcome | Evidence Level | Statistical Significance |
|---|---|---|---|
| Colorectal Anastomosis | Reduced anastomotic leak rates [11] | RCT Meta-analysis (7 studies) | OR 0.58 (95% CI: 0.44-0.75) |
| Lymph Node Identification | Increased lymph node retrieval in GI cancers [25] [11] | Multiple comparative studies | Mean Difference: 6.32 nodes (95% CI: 4.43-8.22) |
| Primary Tumor Identification | Improved intraoperative identification [25] | Expert panel recommendation | Strong recommendation based on evidence |
| Metastasis Detection | Enhanced detection of non-regional metastases [25] | Expert panel recommendation | Supported by clinical evidence |
Purpose: To non-invasively quantify nanomedicine permeation and retention in tumors [26].
Materials:
Procedure:
Applications: Patient stratification for nanomedicine therapy, assessment of EPR enhancement strategies [26].
Purpose: To intraoperatively visualize tumors, lymphatics, and tissue perfusion leveraging the EPR effect [25] [11].
Materials:
Procedure:
Clinical Applications: Supported by SAGES guidelines for colorectal anastomosis, lymph node identification in GI cancers, and primary tumor detection [25] [11].
ICG Tumor Targeting via EPR Effect
Purpose: To modulate the tumor microenvironment for enhanced nanomedicine accumulation [27] [24].
Materials:
Procedure:
Expected Outcomes: 1.5-3 fold increase in nanocarrier accumulation, improved tumor visualization, enhanced surgical precision [27] [24].
EPR Enhancement Strategies
Table 3: Essential Research Reagents for EPR and ICG-FGS Studies
| Reagent/Category | Specific Examples | Function in EPR/ICG Research |
|---|---|---|
| Fluorescent Agents | Indocyanine Green (ICG), Near-infrared dyes | Enable real-time visualization of EPR-mediated tumor accumulation |
| Nanocarrier Platforms | Liposomes, Polymeric nanoparticles (PEG, PLGA), Inorganic nanoparticles (Au, Ag) | Serve as EPR-dependent drug delivery vehicles with tunable properties |
| Vasomodulatory Agents | Nitroglycerin, Angiotensin-II, Prostaglandins | Enhance EPR effect by increasing tumor blood flow and vascular permeability |
| Matrix Modulators | Collagenase, Hyaluronidase, TGF-β inhibitors | Reduce interstitial barriers to improve nanocarrier penetration |
| Imaging Equipment | NIR fluorescence imaging systems, Quantitative MRI protocols | Quantify EPR effect and guide surgical interventions |
| Tumor Models | Subcutaneous xenografts, Orthotopic models, Patient-derived xenografts | Reproduce human EPR heterogeneity for translational studies |
The clinical application of the EPR effect faces challenges, particularly heterogeneity between tumor types and patients [27] [23]. Future directions include:
These advances will strengthen the foundation for ICG-based fluorescence-guided surgery and improve outcomes in cancer therapy.
Indocyanine green (ICG) is a near-infrared fluorophore widely used in fluorescence-guided surgery (FGS) for real-time visualization of anatomical structures and perfusion assessment. While ICG is generally considered safe, its safety profile requires careful evaluation, particularly in patients with reported iodine allergies. This application note synthesizes current evidence on ICG-associated adverse events (AEs), contraindications, and evidence-based protocols for mitigating risks in preclinical and clinical research.
Table 1: Key Adverse Events Associated with ICG Based on FAERS Data (2004–2023)
| Adverse Event | Case Reports (n) | ROR (95% CI) | PRR | Evidence Grade |
|---|---|---|---|---|
| Anaphylactic Shock | 5 | 92.10 (37.71–224.96) | 88.80 | Significant signal |
| Procedural Hypotension | 3 | 1397.27 (443.31–4404.08) | N/A | Significant signal |
| Urticaria | 4 | 10.88 (4.02–29.42) | N/A | Moderate signal |
| Immune System Disorders | 19 | 13.59 (N/A) | 11.86 | Significant signal |
| Eye Disorders | 23 | 9.36 (N/A) | 7.96 | Significant signal |
Data sourced from FDA Adverse Event Reporting System (FAERS); ROR: Reporting Odds Ratio; PRR: Proportional Reporting Ratio [28].
Key Insights:
ICG contains up to 5% sodium iodide, leading to historical contraindications in patients with iodine or shellfish allergies [31] [30]. This precaution stems from theoretical cross-reactivity risks.
Recent large-scale studies refute this association:
Premedication Strategy:
Figure 1: Evidence-Based Workflow for ICG Use in Patients with Iodine Allergy
Objective: Assess ICG-induced hypersensitivity in preclinical models. Methodology:
Population: Patients with documented iodine/contrast allergies. Intervention:
Table 2: Essential Reagents for ICG Safety Research
| Reagent | Function | Example Use Case |
|---|---|---|
| ICG (Verdye/Diagnogreen) | Near-infrared fluorescent tracer for perfusion and lymphatic mapping. | Biliary visualization during cholecystectomy [34]. |
| Diphenhydramine | H1-antihistamine premedication to mitigate mild-moderate allergic reactions. | Prophylaxis in patients with iodine allergies [33]. |
| Dexamethasone | Corticosteroid to suppress immune response and allergic inflammation. | Premedication in ERAS protocols [31]. |
| Technetium-99 Sulfur Colloid | Radioactive tracer for lymphoscintigraphy as an ICG alternative. | Sentinel lymph node mapping in contraindicated patients [35]. |
| Isosulfan Blue/Methylene Blue | Vital blue dyes for lymphatic mapping without iodine content. | Alternative to ICG in endometrial cancer staging [35]. |
ICG’s safety profile is favorable, with severe AEs being rare. Evidence does not support blanket contraindications for iodine allergies, and premedication strategies enable safe use in high-risk populations. Researchers should:
This document provides a framework for integrating ICG into FGS research while prioritizing patient safety and methodological rigor.
Fluorescence-guided surgery (FGS) using indocyanine green (ICG) represents a significant advancement in surgical oncology, enhancing the precision of oncologic resections. By providing real-time intraoperative visualization of critical structures such as sentinel lymph nodes (SLNs) and tumor margins, this technology directly addresses the challenge of achieving complete tumor resection while preserving healthy tissue. Framed within broader research on ICG, this document details specific application notes and experimental protocols for SLN mapping and tumor margin delineation, providing researchers and drug development professionals with standardized methodologies to support the development and validation of these techniques.
Sentinel lymph node mapping is crucial for accurate cancer staging, and ICG fluorescence has emerged as a highly sensitive tool for identifying the first lymph nodes draining a primary tumor.
Recent clinical studies demonstrate the high performance of ICG-based SLN mapping across various cancer types, as summarized in the table below.
Table 1: Performance of ICG Fluorescence in Sentinel Lymph Node Mapping
| Cancer Type | Study Design | Patients (n) | Sensitivity | Detection Rate | Key Findings | Citation |
|---|---|---|---|---|---|---|
| Colon Cancer | Prospective Phase II Trial | 101 | 95.6% | 100% | Metastatic LNs confined within ICG-fluorescent area in 95.6% of node-positive patients. | [16] |
| Pediatric/Adolescent Solid Tumors | Prospective Observational Study | 8 | 100% | 100% | Successful lymphatic mapping with no false negatives; effective alternative to radioisotopes. | [36] |
| General Gastrointestinal Cancers | Systematic Review & Meta-Analysis | Pooled Studies | - | - | Significantly increased lymph node retrieval by 6.32 nodes on average. | [11] |
| Colorectal Cancer | Systematic Review | 12 Studies | Variable | Variable | Technique is feasible but requires protocol standardization; heterogeneity in dosing reported. | [37] |
This protocol outlines the standard procedure for SLN mapping in colorectal cancer, adaptable to other solid tumors [16] [36] [37].
A. Preoperative Preparation
B. Intraoperative Procedure
C. Postoperative Analysis
Diagram 1: SLN Mapping Clinical Workflow
Beyond lymphatic mapping, ICG fluorescence is critical for defining the boundaries of the primary tumor, aiding in the goal of complete resection with negative margins.
The application of ICG for perfusion assessment and margin guidance has a direct impact on surgical outcomes, particularly in reducing complications.
Table 2: Efficacy of ICG Fluorescence in Tumor Margin and Perfusion Assessment
| Application | Study Type | Patients / Studies | Key Outcome Measures | Findings | Citation |
|---|---|---|---|---|---|
| Anastomotic Perfusion | Meta-Analysis of RCTs | 4,047 patients (8 RCTs) | Anastomotic Leak Rate | ICG significantly reduced leak risk (RR = 0.66; 95% CI: 0.54–0.81). | [38] |
| Anastomotic Perfusion | SAGES Systematic Review | 7 RCTs | Anastomotic Leak Rate; Change in Resection Plan | ICG reduced leak rates (OR 0.58) and led to intraoperative changes in transection point (OR 35.15). | [11] |
| Laparoscopic Rectal Cancer Surgery | Case Report & Technical Review | N/A | Feasibility, LN Visualization | Enabled real-time tumor and LN imaging, improving precision of resection. | [39] |
| Locoregional Margins in Colon Cancer | Prospective Phase II Trial | 101 patients | Lateral Spread of Fluorescence | Average fluorescent spread was 5.87 ± 3.20 cm (proximal) and 5.89 ± 2.54 cm (distal) from tumor. | [16] |
This protocol focuses on using ICG for defining tumor margins and assessing tissue perfusion prior to anastomosis [16] [38] [39].
A. Preoperative Preparation
B. Intraoperative Procedure for Margin Delineation
C. Postoperative Analysis
Diagram 2: Margin & Perfusion Assessment Logic
Successful implementation of ICG-guided techniques relies on specific reagents and equipment. The following table details essential components for a research protocol.
Table 3: Essential Research Reagents and Materials for ICG-Guided Surgery Studies
| Item | Specifications / Examples | Primary Function in Protocol | Research Considerations |
|---|---|---|---|
| ICG (Indocyanine Green) | Verdye; Diagnostic Green; Sterile, lyophilized powder. | Near-infrared fluorophore; binds plasma proteins for perfusion or travels via lymphatics. | Check purity and certification for human use. Ensure consistent sourcing between study phases. |
| NIR Fluorescence Imaging System | Olympus VISERA ELITE II; Stryker 1688 PINPOINTER; Da Vinci Xi Firefly. | Detects ICG fluorescence (emission ~830 nm) and superimposes it on the surgical field. | System compatibility with laparoscopic/robotic platforms; calibration and maintenance are critical. |
| ICG Diluent | Sterile Water for Injection. | Reconstitutes ICG powder to desired concentration (typically 0.25-2.5 mg/mL). | Must be sterile and preservative-free to prevent ICG degradation or precipitation. |
| Injection Syringes & Needles | 1mL tuberculin syringes; 25-27G needles. | For precise subserosal, peritumoral, or intravenous administration. | Small-gauge needles minimize tissue trauma and dye leakage during submucosal injection. |
| Quantitative Analysis Software | ImageJ with custom macros; proprietary software (e.g., Nuoyan Medical). | Quantifies fluorescence intensity, time-to-peak, and calculates tumor-to-background ratio (TBR). | Essential for objective, reproducible data beyond visual assessment; requires standardization. |
Robust quantitative analysis is key to translating visual fluorescence into validated research data.
Objective: To quantitatively assess fluorescence signals and calculate the Tumor-to-Background Ratio (TBR) from intraoperative or ex vivo images.
Steps:
This systematic approach to application and protocol development provides a framework for advancing research and standardizing clinical practice in ICG-guided oncologic surgery, ultimately contributing to improved patient outcomes.
Fluorescence-guided surgery using indocyanine green (ICG) represents a significant advancement in intraoperative imaging, particularly for assessing tissue perfusion in real-time. Within the broader thesis of fluorescence-guided surgery research, ICG perfusion assessment addresses a critical surgical challenge: the objective evaluation of tissue viability. In both elective colorectal and emergency surgery, inadequate perfusion is a primary determinant of anastomotic failure, with traditional subjective assessment methods (e.g., bowel color, mesenteric pulsation) proving unreliable [4] [40]. ICG fluorescence imaging provides a direct, visual representation of blood flow, enabling surgeons to make data-driven decisions about resection margins and anastomotic safety. The technology leverages the fluorophore properties of ICG, which, when excited by near-infrared (NIR) light (750-800 nm), emits light at a longer wavelength (~835 nm) that can be detected by specialized cameras [41]. This review synthesizes current evidence, quantitative outcomes, and standardized protocols for ICG perfusion assessment, framing them as essential components of a precision surgery research framework.
Meta-analyses of randomized controlled trials (RCTs) and consensus statements provide robust evidence supporting the clinical efficacy of ICG fluorescence imaging. The data consistently demonstrates its value in reducing critical postoperative complications.
Table 1: Clinical Outcomes of ICG-FA in Colorectal Surgery from Meta-Analyses
| Outcome Measure | ICG Group Performance | Control Group Performance | Effect Estimate (95% CI) | P-value | Heterogeneity (I²) |
|---|---|---|---|---|---|
| Overall Anastomotic Leak [38] [42] | Significantly Reduced | - | RR = 0.66 (0.54–0.81) | < 0.0001 | 0% |
| Anastomotic Leak (Grade A) [38] | Significantly Reduced | - | RR = 0.34 (0.16–0.72) | 0.005 | 0% |
| Anastomotic Leak (Left-sided Resections) [42] | Significantly Reduced | - | OR = 0.59 (0.46–0.75) | 0.002 | - |
| Wound Infection [38] | Significantly Reduced | - | RR = 0.17 (0.04–0.76) | 0.02 | 0% |
| Clavien-Dindo Grade I Complications [38] | Significantly Reduced | - | RR = 0.67 (0.49–0.92) | 0.01 | 0% |
| Operative Time [38] | Moderately Increased | - | MD = +8.26 min (0.52–16.00) | 0.04 | 70% |
| Postoperative Hospital Stay [38] | Marginally Increased | - | MD = +0.27 days (0.05–0.49) | 0.02 | 0% |
The application of ICG extends beyond elective colorectal surgery into the emergency setting, where decision-making is complex and time-sensitive. The World Society of Emergency Surgery (WSES) international consensus panel recommends ICG fluorescence imaging to enhance intraoperative decision-making, potentially reducing procedure duration, complications, and hospital stays [4] [43]. In emergencies such as intestinal ischemia and strangulated bowel, ICG angiography can lead to a modification of the surgical plan in a significant proportion of cases (23.9% to 36.6%), helping to prevent extended bowel resections and optimize anastomotic viability [40].
This protocol is designed for the intraoperative assessment of bowel perfusion prior to anastomosis formation in elective or emergency colorectal resections [38] [42] [41].
This protocol applies to emergency scenarios such as acute mesenteric ischemia, strangulated hernia, or abdominal trauma, where assessing bowel viability is critical [4] [40].
The following workflow diagram illustrates the logical decision-making process in these protocols:
Successful implementation of ICG fluorescence imaging in both clinical and research settings requires specific materials and equipment. The following table details the essential components.
Table 2: Essential Research Reagents and Materials for ICG Fluorescence Imaging
| Item | Specification / Example | Primary Function in Research/Clinical Practice |
|---|---|---|
| Indocyanine Green (ICG) | 25 mg lyophilized powder in sterile vial | The fluorophore that binds to plasma proteins and emits NIR light when excited; the core agent for perfusion imaging. |
| Sterile Solvent | Sterile water for injection | To reconstitute ICG powder into an injectable solution. Note: ICG is not readily soluble in saline alone [41]. |
| NIR Imaging Platform | Stryker PINPOINT, Novadaq SPY, Intuitive Firefly, Karl Storz D-light P | Integrated system comprising a light source (to excite ICG), specialized cameras, and filters (to detect emitted fluorescence). |
| Laparoscopic/Robotic System | Compatible with the chosen NIR platform | Enables minimally invasive application of the technology. The system must be equipped with or compatible with NIR fluorescence capability. |
| Data Recording Software | Vendor-specific software (e.g., Stryker 1588) | Allows for the recording and subsequent analysis of dynamic fluorescence videos, which is crucial for quantitative research. |
The integration of ICG fluorescence imaging for perfusion assessment represents a paradigm shift towards precision surgery in both colorectal and emergency settings. The quantitative evidence confirms that this technology significantly reduces anastomotic leak rates, with particular benefit in high-risk scenarios like left-sided anastomoses and acute mesenteric ischemia. The standardized protocols provided offer a framework for reproducible application in research and clinical practice.
Despite its proven benefits, several evidence gaps remain, presenting opportunities for future research. The WSES consensus and other reviews highlight the need for studies on cost-effectiveness, standardized dosing and interpretation protocols, and the expansion of applications in urgent surgical procedures [4] [40] [41]. Furthermore, the integration of artificial intelligence for quantitative analysis of fluorescence signals—such as measuring ingress and egress rates—could transform ICG imaging from a qualitative tool into a fully quantitative, predictive biomarker for anastomotic healing [4]. Research efforts should focus on these areas to strengthen the evidence base and further establish ICG fluorescence imaging as an indispensable component of modern surgical research and practice.
Fluorescence-guided surgery using Indocyanine Green (ICG) has revolutionized the intraoperative visualization of critical anatomical structures, particularly within hepatobiliary surgery. ICG fluorescence cholangiography (ICG-FC) enables real-time, non-invasive mapping of the extrahepatic biliary tree, significantly enhancing anatomical recognition during laparoscopic cholecystectomy [44] [45]. This technique is grounded in the pharmacokinetic properties of ICG, a tricarbocyanine dye that, when administered intravenously, binds to plasma proteins and is exclusively excreted into the biliary system [46]. When illuminated by near-infrared (NIR) light at approximately 830 nm, the dye emits fluorescence that can be detected by specialized imaging systems, providing the surgeon with a clear view of biliary anatomy even before dissection of Calot's triangle begins [44]. This application note details the protocols, performance data, and technical considerations for implementing ICG fluorescence in biliary tree navigation, providing a framework for researchers and surgical scientists.
The clinical efficacy of ICG-FC is well-established through prospective studies and randomized controlled trials, which demonstrate superior visualization outcomes, particularly in elective cases.
Table 1: Biliary Structure Visualization Rates with ICG Fluorescence Cholangiography [44]
| Patient Group | Number of Cases | Cystic Duct Visualization (%) | Common Bile Duct Visualization (%) |
|---|---|---|---|
| Symptomatic Cholelithiasis | 24 | 100 | 100 |
| Acute Cholecystitis | 10 | 90 | 80 |
| Chronic Cholecystitis | 3 | 66.6 | 80 |
| Overall Cohort | 43 | 95.3 | 93 |
A randomized controlled trial comparing ICG-FC to standard intraoperative cholangiography (IOC) found no significant difference in the rate of critical biliary structure visualization [45]. However, ICG-FC presented significant advantages in surgeon satisfaction and a reduced duration required to perform cholangiography. The study reported no bile duct injuries in either group, underscoring the safety and utility of the fluorescence technique [45]. The inflammatory response and patient outcomes were comparable, supporting ICG-FC as a non-inferior yet less invasive alternative to IOC [45].
This protocol is adapted from established methodologies in clinical studies [44] [45].
ICG Preparation:
Dosing and Administration:
Intraoperative Imaging:
For research applications beyond real-time cholangiography, such as tumor identification, the "Second Window ICG" (SWIG) technique can be employed. This relies on the Enhanced Permeability and Retention (EPR) effect in hyperpermeable tissues [47] [46].
The following diagram illustrates the fundamental workflow and the underlying biological mechanism of ICG fluorescence for biliary imaging.
ICG Pharmacokinetics and Fluorescence Workflow
Table 2: Essential Materials and Reagents for ICG Fluorescence Research
| Item | Function & Rationale |
|---|---|
| Indocyanine Green (ICG) | The fluorescent contrast agent. It is pharmacologically inert, binds plasma proteins, and has a peak emission at 830 nm when excited by NIR light [44] [46]. |
| NIR Fluorescence Imaging System | A camera system capable of emitting NIR light and detecting the resulting fluorescence. Examples include laparoscopic (e.g., KARL STORZ RUBINA, Stryker 1588) and robotic (e.g., da Vinci FireFly) platforms [44] [48]. |
| Sterile Water for Injection | The solvent for reconstituting ICG powder. Must be sterile and non-pyrogenic to ensure patient safety [44]. |
| Standardized Fluorescence Phantoms | Photo-stable targets containing ICG used for quantitative system characterization. They enable the measurement of key performance metrics such as sensitivity, linearity, and spatial resolution across different FGS devices, ensuring data reproducibility [48]. |
| Quantitative Analysis Software | Open-source software libraries (e.g., QUEL-QAL) can be used to standardize image analysis, extracting metrics like signal-to-background ratio and linearity in accordance with emerging regulatory guidance [49]. |
Standardization of FGS systems is critical for validating performance and translating research findings. Key performance metrics to characterize include imaging spatial resolution, sensitivity and linearity, depth of field, uniformity of illumination, and signal-to-background ratio [48]. Researchers should employ standardized phantoms and analysis pipelines to facilitate inter-system comparisons and multi-center studies [49] [48].
From a mechanistic standpoint, it is crucial to recognize that ICG retention is pathology-dependent. The EPR effect dominates in tumor visualization, while in non-tumor inflammation and necrosis, the specific inflammatory infiltrate and cellular mechanisms significantly influence ICG accumulation [47]. This necessitates tailored dosing and imaging timelines based on the disease process under investigation.
Fluorescence-guided surgery (FGS) using indocyanine green (ICG) has emerged as a transformative technology in modern surgical practice, enabling real-time intraoperative visualization of critical anatomical structures and physiological processes [11] [50]. As a near-infrared (NIR) fluorophore, ICG provides surgeons with enhanced capabilities for identifying vasculature, assessing tissue perfusion, delineating biliary anatomy, and detecting malignancies [51]. The efficacy of ICG fluorescence imaging is profoundly influenced by two critical variables: dosage and timing of administration [52]. These parameters directly impact signal intensity, background fluorescence, and ultimately the clinical utility of the procedure. This review synthesizes current evidence and protocols for ICG administration across surgical specialties, providing a comprehensive resource for researchers and clinical practitioners seeking to optimize FGS outcomes through standardized dosing and timing regimens.
ICG pharmacokinetics form the foundation for understanding dosing and timing considerations across surgical applications. After intravenous administration, ICG rapidly binds to plasma proteins, primarily albumin, confining it within the vascular compartment [4]. This property makes it ideal for angiography and perfusion assessment. The compound is then exclusively excreted by the liver into the bile, making it particularly useful for hepatobiliary imaging [34] [51]. The fluorescent properties of ICG are activated when exposed to NIR light (approximately 800nm), emitting fluorescence at around 830nm [11]. Tissue penetration of this wavelength is limited to 5-10mm, which necessitates careful consideration of imaging depth during surgical planning [4].
The timing of fluorescence manifestation depends on the target tissue. For vascular perfusion assessment, imaging typically occurs within seconds to minutes after injection, allowing real-time evaluation of blood flow and tissue viability [4]. For biliary applications, optimal visualization requires sufficient time for hepatic uptake and biliary excretion, generally ranging from 30 minutes to 24 hours depending on the clinical context and specific protocol [34] [52]. Understanding these fundamental pharmacokinetic principles enables surgeons to tailor administration protocols to specific surgical scenarios.
Table 1: ICG Dosing and Timing Protocols Across Surgical Specialties
| Surgical Specialty | Primary Application | Recommended Dose | Administration Timing | Evidence Grade |
|---|---|---|---|---|
| Colorectal Surgery | Anastomotic perfusion assessment | 5-10 mg IV | 30-60 seconds before perfusion assessment | High (RCT meta-analysis) [53] |
| Laparoscopic Cholecystectomy (Adult) | Biliary anatomy visualization | 0.25-2.5 mg IV | 30 minutes - 24 hours pre-operation [52] | Moderate (Consensus statement) [4] |
| Pediatric Cholecystectomy | Biliary anatomy visualization | 0.34 mg/kg IV | 225 minutes pre-operation (median) [34] | Low (Prospective study) [34] |
| GI Cancer Surgery | Lymph node mapping | 1.25-5 mg per injection site | 5-30 minutes before dissection [11] | Moderate (Systematic review) [11] |
| Hepatoblastoma Resection | Tumor identification | 0.1-0.5 mg/kg IV | 24-90 hours pre-operation [51] | Low (Case series) [51] |
| Emergency Surgery | Bowel viability assessment | 5-10 mg IV | Immediately before assessment [4] | Low (Consensus statement) [4] |
| Bariatric Surgery | Anastomotic perfusion | 5-10 mg IV | 30-60 seconds before perfusion assessment [11] | Limited (Systematic review) [11] |
Table 2: Impact of ICG Dosing on Surgical Outcomes in Selected Procedures
| Surgical Procedure | Dose Comparison | Visualization Quality | Clinical Outcome | Study Reference |
|---|---|---|---|---|
| Laparoscopic Cholecystectomy | 0.25 mg | Excellent fluorescence contrast | Reduced bile duct identification time [52] | Scientific Reports (2025) [52] |
| Laparoscopic Cholecystectomy | 0.50 mg | Good visualization | Moderate clinical improvement [52] | Scientific Reports (2025) [52] |
| Laparoscopic Cholecystectomy | 1.00-2.50 mg | Increased background fluorescence | Diminished structure discrimination [52] | Scientific Reports (2025) [52] |
| Colorectal Anastomosis | 5-10 mg | Improved perfusion assessment | 34% reduction in Grade A leaks [53] | Systematic Review (2025) [53] |
| Pediatric Cholecystectomy | 0.34 mg/kg | High-quality imaging (Likert 5/5) | Safe and effective [34] | Prospective Study (2025) [34] |
The following protocol details the methodology for optimal biliary visualization during laparoscopic cholecystectomy, based on recent comparative studies [52]:
Materials and Reagents:
Preparation of ICG Solutions:
Administration and Imaging:
Validation Metrics:
This protocol outlines the methodology for evaluating tissue perfusion during colorectal anastomosis, based on recent RCT meta-analyses [53]:
Materials and Reagents:
Procedure:
Outcome Measures:
The following diagram illustrates the clinical decision pathway for determining appropriate ICG dosing and timing based on surgical context and objectives:
Table 3: Essential Research Materials for ICG Fluorescence-Guided Surgery Studies
| Reagent/Material | Specifications | Research Function | Example Applications |
|---|---|---|---|
| ICG Powder | 25mg vials, >95% purity | Primary fluorophore for imaging | All fluorescence-guided procedures |
| NIR Imaging System | Wavelength: 800-850nm detection | Fluorescence detection and visualization | All surgical specialties |
| Sterile Water for Injection | USP grade, pyrogen-free | Solvent for ICG reconstitution | Solution preparation |
| Protein-Rich Solution | Albumin solution (5%) | Enhanced fluorescence intensity | Vascular imaging studies |
| Quantitative Analysis Software | ImageJ with custom macros | Fluorescence intensity measurement | Objective outcome assessment |
| Laparoscopic Trainer Box | With synthetic tissue models | Procedure standardization and training | Protocol development |
| Spectrophotometer | NIR capability | QC of ICG solutions | Concentration verification |
| Animal Models | Porcine or murine models | Preclinical protocol validation | Safety and efficacy testing |
The optimization of ICG dosing and timing represents a critical frontier in the advancement of fluorescence-guided surgery. Current evidence demonstrates that procedure-specific protocols can significantly enhance surgical outcomes, from reducing anastomotic leaks in colorectal surgery to preventing biliary injuries during cholecystectomy [53] [52]. The emerging consensus across surgical specialties indicates that lower doses of ICG (0.25-0.5mg) provide superior visualization for biliary anatomy due to reduced background fluorescence from the liver, while higher doses (5-10mg) are more appropriate for perfusion assessment where vascular contrast is paramount [52] [11].
The timing of administration similarly varies by application, with biliary imaging requiring extended preoperative intervals (45 minutes to 24 hours) to allow for hepatic clearance and biliary excretion, while perfusion assessment necessitates intraoperative injection (30-60 seconds before evaluation) for real-time vascular imaging [34] [53]. These fundamental pharmacokinetic principles should guide protocol development for existing and emerging applications.
Future research priorities include establishing standardized quantitative metrics for fluorescence intensity, developing real-time dosing adjustment algorithms based on patient factors, and creating specialized protocols for pediatric populations where weight-based dosing requires particular precision [51] [54]. Additionally, the integration of ICG fluorescence with emerging technologies like robotic surgery and artificial intelligence represents a promising frontier for enhancing surgical precision and patient outcomes [55]. As the evidence base expands, the development of procedure-specific protocols with optimized dosing and timing parameters will be essential for maximizing the clinical utility of ICG fluorescence imaging across surgical specialties.
Fluorescence-guided surgery (FGS) using indocyanine green (ICG) has emerged as a transformative technology in modern surgical practice, providing real-time, enhanced visualization of anatomical structures and physiological processes. For researchers, scientists, and drug development professionals, understanding the landscape of commercial imaging platforms is crucial for experimental design, technology assessment, and development of novel surgical adjuncts. This review provides a comprehensive analysis of available FGS systems, their technical specifications, and standardized protocols for their application in preclinical and clinical research settings. The integration of these platforms into surgical research represents a significant advancement beyond traditional white-light visualization, offering insights into perfusion dynamics, tissue viability, and cellular-level targeting [17] [56].
The FGS market has experienced substantial growth, with multiple platforms receiving regulatory clearance and an expanding body of clinical evidence supporting their utility. These systems are broadly categorized by their technological approach, with near-infrared (NIR) modalities dominating the landscape due to the established use of ICG [57] [58].
The development of commercial FGS systems began with the clearance of the SPY system in 2005, primarily for blood flow assessment [57]. Since then, numerous systems have entered the market, with NIR systems accounting for approximately 72% of market share in 2024, benefiting from the ubiquity of ICG [58]. The market is characterized by continuous innovation, with multispectral/hybrid solutions demonstrating the most rapid growth (19.8% CAGR), enabled by their ability to image multiple fluorophores simultaneously for complex procedures requiring visualization of different tissue types [58].
Market analysis indicates moderately concentrated competition, with key players including Hamamatsu Photonics K.K., Medtronic PLC, Stryker Corp. (Novadaq), Olympus Corp. (Quest Medical Imaging), and Karl Storz SE & Co. KG [58]. Recent strategic movements include acquisitions and partnerships aimed at enhancing visualization capabilities, such as KARL STORZ's 2024 acquisition of Asensus Surgical to bolster its digital laparoscopy portfolio [58].
Beyond basic fluorescence detection, several key performance capabilities define the utility of FGS systems for research and clinical applications:
Systems designed specifically for ICG imaging typically demonstrate sufficient sensitivity for this application but may lack the broader feature set required for advanced research with molecular-specific agents at lower concentrations [57].
Table 1: Commercially Available Fluorescence-Guided Surgery Systems
| Company | System/Platform | Key Features | Primary Indications/Research Applications |
|---|---|---|---|
| Novadaq Technologies, Inc. (Stryker) | SPY Imaging System | First approved system (2005); multiple iterations | Blood flow, tissue perfusion, GI imaging [57] |
| Hamamatsu Photonics K.K. | PDE, PDE Neo | Compact systems; 510(k) cleared based on SPY equivalence | Tissue perfusion in free flaps, plastic/reconstructive surgery [57] |
| Fluoptics | Fluobeam 800 | Handheld imaging device | Portable fluorescence imaging [57] |
| Quest Medical Imaging | Artemisa (Quest Spectrum) | Light engine and handheld systems | Compatible with various surgical platforms [57] |
| VisionSense Ltd. | VS3-IR-MMS | Integrated fluorescence capability | Multimodal imaging [57] |
| Various Major Manufacturers | Integrated robotic platforms | Embedded NIR sensors in endoscopic systems | Seamless switching between white light and fluorescence in robotic surgery [58] |
Table 2: Technical Specifications and Capabilities Across Platform Types
| Platform Type | Market Share (2024) | Growth Trend (CAGR) | Key Advantages | Research Considerations |
|---|---|---|---|---|
| Tower-Based (Cart) | 54% | Steady | High-power illumination, advanced processing | Fixed position may limit flexibility; high throughput [58] |
| Hand-Held | Emerging segment | Growing for price-sensitive markets | Portability, accessibility | Potential motion artifacts; lower cost [58] |
| Robotic-Integrated | Rapidly expanding | 18.5% | Seamless workflow integration, eliminates console switching | Platform-specific; higher cost [58] |
| Multispectral/Hybrid | ~19% of type segment | 19.8% (fastest) | Multiple fluorophore imaging, advanced analytics | Complex data interpretation; premium pricing [58] |
Standardized protocols are essential for generating reproducible, comparable data across research studies utilizing ICG-based FGS. The following section outlines established methodologies for key experimental applications.
Background: Anastomotic leak remains a serious complication in colorectal surgery, with insufficient blood supply being a key contributing factor [59] [60]. ICG fluorescence imaging provides real-time assessment of tissue perfusion to guide resection margins and anastomotic planning.
Materials and Reagents:
Stepwise Methodology:
Timing Considerations: Initial imaging typically occurs within 44 seconds (range: 31-69 seconds) post-injection, with imaging duration of approximately 4 minutes (range: 3-6 minutes) [59]. For repeated assessments, allow ≥15-minute interval between administrations due to ICG's 3-4 minute half-life [59].
Diagram 1: Anastomotic perfusion assessment workflow
Background: Visualizing extrahepatic biliary anatomy is crucial for preventing iatrogenic injuries during cholecystectomy. ICG fluorescence cholangiography provides real-time identification of biliary structures [17].
Materials and Reagents:
Methodology:
Research Notes: Randomized controlled trials have demonstrated ICG cholangiography provides improved detection of bile duct variations comparable to intraoperative cholangiography [17].
Background: ICG-based lymphatic mapping enables enhanced lymph node retrieval in gastrointestinal cancer surgeries, potentially improving staging accuracy [11].
Materials and Reagents:
Methodology:
Evidence Base: Meta-analysis data demonstrates ICG fluorescence imaging increases lymph node retrieval in gastrointestinal cancer surgeries by 6.32 nodes on average (95% CI: 4.43-8.22) [11].
Table 3: Key Research Reagent Solutions for ICG Fluorescence Imaging
| Reagent/Material | Function | Research Application Notes |
|---|---|---|
| Indocyanine Green (ICG) | NIR fluorophore | Water-soluble, binds albumin; hepatic excretion; peak excitation ~800 nm, emission ~830 nm [11] [17] |
| Sterile Water for Injection | ICG reconstitution | Preferred over saline due to potential ICG precipitation with electrolytes [59] |
| NIR-Compatible Imaging Systems | Fluorescence detection | Must operate in 750-800 nm excitation range with detection capability to ~830 nm [57] |
| Quantitative Analysis Software | Signal quantification | Enables objective measurement of fluorescence intensity, kinetics; essential for perfusion studies [17] |
| Standardized Color Maps | Data visualization | Optimized color scales (e.g., fire, hot iron) improve perceptual accuracy of fluorescence intensity [61] |
Effective visualization of fluorescence data is critical for accurate interpretation and surgical decision-making. The display of fluorescence information involves mapping scalar values (intensity, concentration) to color representations that are intuitively understood by surgeons [61].
The choice of color map significantly impacts the perceived dynamic range and interpretability of fluorescence data. Key considerations include:
Research indicates that the human visual system is most sensitive to changes in lightness (luminance) rather than hue, suggesting that monochromatic scales with varying brightness may provide more accurate intensity discrimination than multi-hue rainbow scales [61].
While qualitative assessment ("seeing green") is clinically practical, quantitative approaches enable more rigorous research methodologies:
Quantitative analysis remains challenging for real-time application due to computational requirements but is essential for objective research outcomes and developing standardized thresholds for clinical decision-making [17].
Diagram 2: Fluorescence data processing and interpretation pathways
The field of ICG-guided surgery continues to evolve with several emerging trends of significance to researchers and drug development professionals:
For researchers working in this rapidly advancing field, understanding both the current capabilities and future trajectories of commercial imaging platforms is essential for designing robust, forward-compatible experimental approaches that will generate meaningful contributions to the evolving science of fluorescence-guided surgery.
In fluorescence-guided surgery (FGS), the clarity of the surgical field is paramount. This clarity is quantitatively expressed as the signal-to-background ratio (SBR), a critical metric that determines the surgeon's ability to distinguish target tissues, such as tumors or vital anatomical structures, from the surrounding healthy tissue. Indocyanine green (ICG), the most widely used near-infrared (NIR) fluorophore, exhibits a well-documented phenomenon where its fluorescence intensity does not increase linearly with dosage. Instead, excessive doses can lead to quenching, a state where fluorophore molecules aggregate, leading to a reduction in fluorescence emission and an undesirable increase in background signal [62]. Furthermore, high background fluorescence in non-target tissues can obscure the surgical field, complicating intraoperative decision-making. Therefore, dosage optimization is not merely an academic exercise but a fundamental prerequisite for achieving the precision that FGS promises. This document outlines evidence-based protocols for ICG dose optimization across various surgical applications, providing a framework for researchers and clinicians to maximize intraoperative visualization.
Optimal ICG dosing is highly dependent on the clinical objective, driven by the underlying pharmacokinetic principles of how ICG accumulates in the target tissue. The two primary mechanisms are passive accumulation via the Enhanced Permeability and Retention (EPR) effect in hypervascular tumors and active biliary excretion for visualizing the hepatobiliary system.
Table 1: Optimized ICG Dosage and Timing for Key Surgical Applications
| Surgical Application | Target & Mechanism | Recommended Dose | Administration-to-Imaging Time | Key Efficacy Outcomes |
|---|---|---|---|---|
| Meningioma Resection [63] | Tumor tissue (EPR effect) | 2.5 - 5.0 mg/kg | ~24 hours (SWIG technique) | No significant SBR difference between 2.5 mg/kg and 5.0 mg/kg doses; high doses may cause quenching. |
| Sentinel Lymph Node Biopsy (Breast Cancer) [62] | Lymphatic vessels and nodes | 0.25 mg/mL in Voluven (total volume & injection protocol dependent) | Immediate (real-time imaging) | Highest median SBR (127.4); consistent retrieval of 3 SLNs per patient. |
| Laparoscopic Cholecystectomy [52] | Biliary anatomy (biliary excretion) | 0.25 mg | 0.5 - 3 hours pre-op | Superior fluorescence contrast; highest number of "excellent" subjective evaluations. |
| Malignant Lung Tumor Localization [64] | Tumor tissue (EPR effect) | 0.5 mg/kg - 5.0 mg/kg (dose escalation protocol) | ~24 hours (SWIG technique) | Protocol designed to determine the minimal dose for effective tumor detection. |
| Colorectal Anastomotic Perfusion [11] | Intestinal vasculature (blood pool agent) | Dosing variable; timing critical | Intravenous bolus with real-time assessment | Reduced anastomotic leak rates (OR 0.58) and changed surgical plan in RCTs. |
Figure 1: Decision Workflow for ICG Dose and Timing Selection. The optimal protocol is primarily determined by the surgical objective and the corresponding biological mechanism of ICG accumulation (EPR effect, biliary excretion, etc.). SWIG: Second Window ICG.
This protocol is adapted from a clinical trial that optimized ICG for SLNB using Voluven as a solvent to prevent H-aggregation and improve SBR [62].
3.1.1 Research Reagent Solutions
Table 2: Essential Materials for SLNB Dose Optimization Protocol
| Item | Function/Description | Example/Note |
|---|---|---|
| ICG Powder | The NIR fluorophore. | Diagnogreen 25 mg/vial (Daiichi Sankyo). |
| Voluven (6% HES) | Solvent that prevents ICG quenching. | Fresenius Kabi Deutschland GmbH. |
| NIR Imaging System | Detects ICG fluorescence. | Stryker SPY Portable Handheld Imaging System. |
| 1 mL and 5 mL Syringes | For precise solution preparation and injection. | - |
| Three-Way Connector | Facilitates sterile dilution. | - |
3.1.2 Step-by-Step Methodology
This protocol is derived from a prospective study comparing four ICG doses for visualizing the extrahepatic bile ducts [52].
3.2.1 Research Reagent Solutions
3.2.2 Step-by-Step Methodology
(CD-CBD intensity - Liver intensity) / 255 [52]. A higher value indicates superior visualization.Successful implementation of ICG FGS relies on more than the dye itself. The following table outlines key materials and their functions in a research setting.
Table 3: Essential Research Tools for ICG Fluorescence-Guided Surgery
| Tool Category | Specific Examples | Function in Research & Development |
|---|---|---|
| Fluorophores | Indocyanine Green (ICG), Methylene Blue, 5-ALA [17] [65] | First-line NIR fluorophores; ICG is the most widely adopted due to its safety profile and versatility. |
| Advanced Fluorophores | Targeted agents (e.g., EGFR-targeted IRDye800CW), ONM-100 (pH-sensitive ICG derivative) [65] | Enable molecular-specific imaging; used to develop next-generation FGS with higher tumor-to-background ratios. |
| Solvents & Stabilizers | Voluven (6% HES), Human Serum Albumin (HSA) [62] | Critical for preventing ICG aggregation (quenching); directly impact signal intensity and consistency. |
| Imaging Systems | Stryker SPY-PHI, DPM NIR system, Lumifinder MED7100 [62] [52] [64] | Detect and display NIR fluorescence; vary in portability, integration with laparoscopic stacks, and sensitivity. |
| Quantitative Analysis Software | ImageJ with custom plugins, proprietary device software [52] | Essential for objective measurement of fluorescence intensity and SBR, moving beyond qualitative assessment. |
Figure 2: Generalized Experimental Workflow for ICG Dose Optimization. A standardized protocol is crucial for generating reproducible and comparable data on fluorescence efficacy.
The pursuit of the optimal ICG dose is a cornerstone of effective fluorescence-guided surgery. As evidenced, there is no universal dosage; the ideal regimen must be tailored to the specific surgical application, driven by the underlying biological mechanism of ICG accumulation. The summarized protocols demonstrate that lower doses often yield superior SBR by minimizing background fluorescence and avoiding quenching, a principle that holds from neurosurgery to general surgery.
Future developments in this field will focus on two key areas. First, the clinical translation of targeted fluorophores and dyes operating in the second near-infrared window (NIR-II, 1000-1700 nm) promises further improvements in tissue penetration and SBR [65] [66]. Second, the integration of artificial intelligence (AI) for real-time, quantitative analysis of fluorescence signals will help standardize interpretation and overcome the subjectivity of current qualitative assessments [65]. By systematically applying the dose optimization principles outlined in this document, researchers and surgical scientists can significantly advance the precision and efficacy of fluorescence-guided surgery.
Indocyanine green (ICG) fluorescence imaging has emerged as a transformative technology in surgical guidance, enabling real-time visualization of anatomical structures, tissue perfusion, and lymphatic mapping. [11] ICG is a water-soluble, albumin-binding fluorophore that emits near-infrared (NIR) light at approximately 830 nm when excited by light between 750-810 nm. [7] [3] This NIR fluorescence offers a theoretical tissue penetration depth of 5-15 mm, representing a significant limitation in challenging surgical scenarios. [12] [3] In the context of obesity, significant inflammation, or extensive scarring, this inherent penetration constraint becomes critically important, potentially compromising image quality, surgical decision-making, and ultimately patient outcomes. This application note systematically addresses these challenges through evidence-based protocols and technical solutions tailored for researchers and drug development professionals working in fluorescence-guided surgery.
Table 1: Fundamental ICG Fluorescence Properties and Limitations
| Property | Specification | Clinical/Research Implication |
|---|---|---|
| Emission Peak | ~830 nm [3] | Avoids autofluorescence from endogenous tissues |
| Excitation Range | 750-810 nm [67] | Requires specialized NIR imaging systems |
| Theoretical Penetration | 0.5 - 1.5 cm [12] [3] | Limits visualization of deep structures |
| Primary Clearance | Hepatic (via bile) [7] [3] | Rapid half-life (3-5 min) allows repeated dosing |
Clinical evidence consistently identifies specific patient factors that exacerbate the inherent tissue penetration limits of ICG fluorescence. The most significant challenges occur in patients with high body mass index (BMI), severe inflammatory conditions, and fibrotic tissue changes.
Table 2: Evidence-Based Challenges in ICG Fluorescence Imaging
| Challenge Factor | Impact on ICG Imaging | Supporting Evidence |
|---|---|---|
| Obesity / High BMI | Attenuated signal due to increased distance from camera and light scattering in adipose tissue. [12] [68] | Reduced visualization of extra-hepatic biliary structures during cholecystectomy. [12] |
| Severe Inflammation | Impaired biodistribution and fluorescence signal due to edema and hyperemia; "washout" effect. [12] [4] | Diminished fluorescence in acute cholecystitis and severe inflammatory processes. [12] [4] |
| Fibrosis / Scarring | Physical barrier that impedes diffusion and vascular perfusion of ICG. [12] | Limited data, but clinical consensus indicates reduced performance in re-operative or fibrotic surgical fields. [12] |
Recent high-quality studies further quantify these limitations. The 2025 SAGES systematic review and meta-analysis, which forms a cornerstone of modern evidence on ICG, confirms that while ICG significantly improves outcomes in specific applications like colorectal anastomoses and lymph node retrieval, its effectiveness is highly context-dependent. [69] [11] The 2025 World Society of Emergency Surgery (WSES) international consensus position paper explicitly states that "optimal use requires careful consideration of dosage and timing due to limited tissue penetration (5–10 mm) and variable performance in patients with significant inflammation, scarring, or obesity." [12] [4] Furthermore, long-term oncological trials such as the FUGES-012 study demonstrate that despite technical challenges, ICG-guided procedures can yield superior outcomes, including improved 5-year overall survival in gastric cancer patients, highlighting the importance of overcoming these penetration barriers. [70]
This protocol is adapted for laparoscopic cholecystectomy in patients with acute cholecystitis or high BMI, where anatomical identification is critical for preventing bile duct injury. [12] [4] [68]
Materials & Reagents:
Methodology:
This protocol assesses bowel viability in emergency surgery for intestinal ischemia or strangulated hernia, where patient factors like obesity and inflammation complicate visual assessment of perfusion. [12] [4]
Materials & Reagents:
Methodology:
Diagram 1: ICG Angiography Workflow for Perfusion Assessment
Advanced technical approaches and specialized reagents are being developed to overcome the fundamental penetration limits of ICG fluorescence.
Table 3: Advanced Reagents and Formulations for Enhanced Imaging
| Reagent / Solution | Composition / Function | Research Application |
|---|---|---|
| ICG-HSA Complex | Pre-conjugated complex of ICG and Human Serum Albumin to form stable nanoparticles (4-7 nm). [71] | Improves fluorescence stability and liver retention time for anatomical liver resection. [71] |
| Low-Dose ICG Tattooing | Highly diluted ICG (0.25 mg/mL) for endoscopic submucosal injection. [7] | Enables multifunctional use (tumor localization + lymph node mapping + angiography) without signal interference. [7] |
| Standardized ICG Formulation | Lyophilized powder reconstituted in sterile water per manufacturer specifications. | Provides consistent baseline for comparative studies; minimizes variability. [7] [68] |
Beyond reagent formulation, operational techniques can significantly mitigate penetration challenges:
Diagram 2: Strategy Framework to Overcome ICG Penetration Limits
The tissue penetration limits of ICG fluorescence imaging present significant but surmountable challenges in complex patient populations. Evidence-based protocols that optimize dosing, timing, and imaging techniques can partially mitigate the negative impact of obesity, inflammation, and scarring. The development of novel formulations, such as the ICG-HSA complex, represents a promising frontier for enhancing fluorescence stability and tissue visualization. [71] For researchers and drug development professionals, the focus should be on standardizing imaging protocols, validating quantitative assessment methods, and developing next-generation fluorophores or delivery systems that transcend the current physical limitations of near-infrared light. The consistent finding that ICG improves critical clinical outcomes despite these technical challenges [69] [70] underscores the immense value of continued innovation in this field.
Fluorescence-guided surgery (FGS) using indocyanine green (ICG) has emerged as a transformative technology across surgical specialties, enabling real-time visualization of anatomical structures, tissue perfusion, and even cancerous lesions. This technique leverages the near-infrared (NIR) fluorescence properties of ICG, a water-soluble dye that binds to plasma proteins and exhibits fluorescence when excited by light at approximately 800 nm [11]. While subjective interpretation of ICG fluorescence has demonstrated clinical benefits—including reduced anastomotic leak rates in colorectal surgery and enhanced lymph node retrieval in oncology [11]—the fundamental limitation of subjective assessment persists. The transition to robust, reproducible quantitative metrics represents the next critical evolution in surgical precision, particularly for drug development and standardized clinical implementation.
The current reliance on visual interpretation introduces significant variability, as perception is influenced by human factors, display settings, and environmental conditions in the operating room [61] [72]. Quantitative fluorescence imaging seeks to overcome these limitations by providing objective, metrics-based assessments that can be correlated with clinical outcomes. This Application Note details the specific hurdles in this quantification process and provides standardized protocols and analytical frameworks to advance the field toward reliable objectivity, a prerequisite for robust clinical trials and therapeutic development.
The path to objective quantification is fraught with technical and methodological challenges that span from image acquisition to data interpretation. A comprehensive understanding of these hurdles is essential for developing effective solutions.
Table 1: Key Challenges in Quantifying ICG Fluorescence
| Challenge Category | Specific Hurdle | Impact on Quantification |
|---|---|---|
| Image Acquisition | Variable imaging system performance [73] | Differing sensitivities and dynamic ranges between platforms prevent standardized measurements. |
| Inconsistent illumination and tissue optics [61] | Absorption and scattering of light in tissue alter the detected signal non-linearly. | |
| Data Processing | Lack of standardized background selection [73] | Inconsistent calculation of signal-to-background ratio (SBR), a key quantitative metric. |
| Subjective parameter selection [72] | Heterogeneity in chosen parameters (e.g., Tmax, Imax, slope) impedes cross-study comparison. | |
| Clinical Translation | Inter-patient physiological variability [74] | Factors like body mass index, cardiac output, and liver function cause kinetic variance. |
| Lack of real-time analysis protocols [72] | Most quantitative analyses are performed post-hoc, limiting intraoperative utility. | |
| Standardization | Absence of universal calibration [73] | No common reference for validating fluorescence intensity values across devices and centers. |
| Heterogeneous dosing and timing [11] [12] | Wide variations in ICG administration protocols prevent unified kinetic models. |
A recent systematic review of ICG quantification in colorectal surgery underscores the extent of these challenges, identifying significant heterogeneity in methodology, parameter selection, and analytical approaches across 22 studies. Notably, only 4 of these studies conducted real-time analysis, with the vast majority relying on post-hoc video analysis [72]. This reliance on post-processing severely limits the intraoperative decision-making potential of quantitative data. Furthermore, the review identified 26 different perfusion parameters used across studies, with time to fluorescence and maximum intensity being the most common, but far from universal [72]. This lack of consensus on core parameters fragments the research landscape and slows collective progress.
Moving from qualitative assessment to quantitative metrics requires a clear definition of key parameters. The most fundamental metric is the Signal-to-Background Ratio (SBR), calculated as SBR = Mean Signal Intensity in Region of Interest (ROI) / Mean Signal Intensity in Background Tissue [73]. The accurate determination of SBR is profoundly influenced by the selection of the background region, and poor selection can render the metric meaningless [73]. Beyond SBR, kinetic parameters derived from time-intensity curves offer dynamic insights into tissue perfusion and function [72].
Table 2: Key Quantitative Parameters in ICG Fluorescence Imaging
| Parameter | Description | Proposed Clinical Correlation |
|---|---|---|
| Tonset | Time from ICG injection to first signal detection in the ROI. | Tissue perfusion speed. |
| Tmax | Time from injection to maximum signal intensity (Imax) in the ROI. | Perfusion efficiency. |
| Imax | The maximum fluorescence intensity recorded in the ROI. | Relative vascular density and flow. |
| Slope | The rate of fluorescence intensity increase (often to Imax). | Inflow kinetics. |
| Wash-Out Rate | The rate of fluorescence decrease after peak. | Outflow or metabolic clearance. |
| Area Under the Curve (AUC) | The integrated area under the time-intensity curve. | Cumulative perfusion over time. |
A critical step for reproducible quantification is the implementation of calibration and standardization protocols. Performance variations between commercially available imaging systems can lead to significantly different fluorescence readings for the same biological signal [73]. To address this, the use of calibration devices containing fluorescent references with known properties is recommended. These phantoms allow for:
The following workflow diagram outlines a standardized protocol for implementing quantitative ICG-FGS from pre-operative calibration to post-operative analysis.
Figure 1: Standardized Workflow for Quantitative ICG-FGS. This protocol ensures consistency from system setup to data analysis.
Objective: To objectively quantify colonic perfusion at the planned anastomotic site and establish a predictive threshold for anastomotic leak (AL) risk.
Materials:
Methodology:
Validation: Correlate quantitative parameters with tissue oxygenation measurements (e.g., via hyperspectral imaging) or microvascular flow in a subset of patients to validate the physiological relevance of the metrics [72].
Objective: To quantify the fluorescence intensity and pattern of lymph nodes (LNs) for improved detection of metastatic involvement.
Materials:
Methodology:
Analysis: Use machine learning classifiers to determine if a combination of quantitative fluorescence features (intensity, kinetics, heterogeneity) can more accurately predict metastatic involvement than surgeon visual assessment alone.
Successful implementation of quantitative ICG-FGS requires a standardized set of tools and reagents. The following table details the essential components of the quantification researcher's toolkit.
Table 3: Research Reagent Solutions for Quantitative ICG-FGS
| Toolkit Component | Specific Examples & Specifications | Research Function |
|---|---|---|
| Fluorophore | Indocyanine Green (ICG); lyophilized powder for reconstitution [11] | The source of the NIR fluorescence signal. Must be prepared fresh. |
| Imaging System | NIR-capable laparoscope/robot (e.g., da Xi, IMAGE1 S) with recording capability [72] | Hardware for excitation and emission capture. Requires stable output. |
| Calibration Phantom | Custom fluorescent targets with known optical properties [73] | Validates system performance and enables cross-platform standardization. |
| Analysis Software | Python (OpenCV), MATLAB, ImageJ, or commercial clinical software (e.g., Quest) [72] | Extracts intensity data and calculates kinetic parameters from video. |
| Data Validation Tools | Hyperspectral Imaging (HSI) systems, Laser Doppler Flowmetry [72] | Provides reference standards to validate fluorescence-based perfusion data. |
The future of quantification in ICG-FGS lies in the integration of artificial intelligence and advanced nanotechnology. AI and computer vision methods are being developed to automate ROI selection, correct for tissue optical properties, and provide real-time, quantitative perfusion assessment, thereby overcoming the inter-user variability inherent in subjective interpretation [72]. Simultaneously, the emergence of nano-ICG formulations promises to enhance targeting specificity and signal-to-background ratios. These novel agents, including ICG-coupled nanoparticles with functional modifications, aim to move beyond passive accumulation to active tumor targeting, offering superior imaging contrast and opening doors for combined diagnostic and therapeutic (theranostic) applications [74].
In conclusion, while the transition from subjective interpretation to objective metrics in ICG-FGS presents significant hurdles, the development of standardized calibration protocols, consensus on core quantitative parameters, and adoption of robust experimental methodologies provide a clear path forward. The integration of these quantitative approaches is essential for advancing fluorescence-guided surgery from an artisanal skill to a precise, data-driven discipline that can deliver reproducible and optimized outcomes for patients.
Fluorescence image-guided surgery (FIGS) using indocyanine green (ICG) represents a transformative advancement in surgical oncology and complex gastrointestinal procedures, providing surgeons with real-time, enhanced visualization of critical anatomical structures [25]. ICG is a water-soluble, near-infrared (NIR) fluorescent dye that, when excited by light in the 750-800 nm wavelength range, emits fluorescence at approximately 830 nm, allowing for tissue penetration of up to 10-15 mm [3]. This technology has evolved from its initial applications in hepatic function assessment and cardiac output measurement to become an indispensable surgical adjunct that enhances intraoperative decision-making across multiple surgical specialties [75] [3]. The integration of ICG fluorescence imaging into complex surgical workflows provides objective, real-time feedback on tissue perfusion, lymphatic mapping, and tumor identification, addressing the inherent limitations of subjective visual assessment alone [4].
The fundamental advantage of ICG-based imaging lies in its ability to provide real-time anatomical and functional information without significant disruption to surgical workflow. ICG rapidly binds to plasma proteins after intravenous administration, has a half-life of 3-4 minutes, and is exclusively cleared by the liver, making it safe for repeated administration during prolonged procedures [75] [3]. The ongoing refinement of ICG dosing protocols, administration timing, and imaging technology has positioned fluorescence-guided surgery as a cornerstone of precision surgery, particularly in oncology where margin status and complete resection directly correlate with patient outcomes [65].
Indocyanine green is an amphiphilic, tricarbocyanine dye with a molecular mass of 751.4 Da that exhibits unique photophysical properties ideal for surgical navigation [3]. Following intravenous injection, approximately 98% of ICG binds to plasma proteins, primarily albumin, creating a stable fluorescent complex that remains within the vascular compartment or is taken up by hepatocytes for biliary excretion [75] [3]. This binding mechanism is crucial for its applications in angiography and lymphatic mapping, as the protein-bound complex is too large to diffuse through vascular endothelium but readily enters lymphatic circulation [3].
The imaging principle relies on the absorption of near-infrared light (750-800 nm) by ICG molecules, which elevates electrons to an excited state. As these electrons return to their ground state, they emit photons at approximately 830 nm, which are detected by specialized NIR cameras [65] [3]. This emission wavelength is strategically important as it minimizes interference from tissue autofluorescence (which occurs at 500-600 nm) and hemoglobin absorption, thereby providing superior contrast compared to visible light imaging [75]. The penetration depth of 5-10 mm allows visualization of sub-surface structures that are not apparent to the naked eye, a particularly valuable characteristic in minimally invasive surgery where tactile feedback is limited [4].
Successful implementation of ICG-guided surgery requires a coordinated system of imaging equipment, fluorescent agents, and supporting reagents. The following table details the essential components of a fluorescence-guided surgery research platform:
Table 1: Essential Research Reagent Solutions for ICG Fluorescence-Guided Surgery
| Component | Function/Application | Research Considerations |
|---|---|---|
| ICG (Indocyanine Green) | Primary fluorescent contrast agent for angiography, lymphography, and tumor identification [75]. | Optimal dosing ranges from 2.5-25 mg depending on application; requires reconstitution with specific solvents [3]. |
| Near-Infrared Camera Systems | Detects ICG fluorescence emission at ~830 nm [3]. | Laparoscopic, robotic, and handheld formats available; must match light source to camera sensitivity [75]. |
| Human Serum Albumin (HSA) | ICG solvent that increases quantum yield and lymph node retention [25] [75]. | ICG-HSA combination improves sentinel lymph node mapping efficiency [75]. |
| Targeted Fluorescent Probes | Enhanced tumor specificity through antibody-fluorophore conjugates [65]. | Research-stage agents (e.g., anti-EGFR-IRDye800CW) show improved tumor-to-background ratios [65]. |
| Alternative Fluorophores | Specialized applications beyond ICG capabilities [65]. | ZW-800, VM678 demonstrate improved pharmacokinetics in animal studies [75]. |
The integration of these components into a seamless workflow requires careful consideration of the specific clinical or research question. While standard ICG provides excellent vascular and lymphatic imaging, novel approaches such as ICG conjugated to artificially created antibodies for tumor markers (e.g., carcinoembryonic antigen for colorectal cancer) are emerging to enhance tumor specificity [75]. Additionally, advanced imaging systems now incorporate quantitative fluorescence analysis, though this capability varies across platforms and requires standardization for research applications [65].
Effective integration of ICG imaging begins with comprehensive preoperative planning centered on procedure-specific goals. The SAGES 2025 guidelines recommend distinct protocols based on surgical objectives, including lymphatic mapping, tumor identification, perfusion assessment, or biliary visualization [25] [76]. This planning phase must include verification of NIR-compatible equipment, establishment of a sterile workflow for ICG administration, and confirmation of patient-specific factors such as iodine allergy (a contraindication for ICG) [4].
The preoperative team should define the primary clinical endpoint, which directly determines the ICG administration timing, dose, and route. For example, sentinel lymph node mapping typically requires peripheral injection 1-4 hours before surgery, while angiography for perfusion assessment is performed intraoperatively after vascular dissection [77] [3]. This decision-making process can be visualized through the following workflow:
The intraoperative phase represents the critical execution stage where fluorescence imaging integrates with surgical decision-making. Standardized imaging protocols should be established for each application, including baseline imaging before ICG administration, continuous or intermittent monitoring during the critical surgical phase, and confirmatory imaging after surgical intervention [78]. The following workflow illustrates the cyclic process of imaging, interpretation, and surgical action that characterizes ICG-guided procedures:
For perfusion assessment, the timing from arterial enhancement to tissue fluorescence provides critical data on tissue viability. In esophageal surgery, the "90-second rule" established by Kumagai et al. recommends performing anastomosis proximal to the point where fluorescence reaches within 90 seconds [75]. Similarly, quantitative approaches define lymph nodes with fluorescence intensity 1.25 times greater than background as sentinel nodes [3]. These objective thresholds help standardize surgical decision-making across operators and institutions.
Lymphatic mapping using ICG has become established practice across multiple surgical oncology specialties, with specific technical variations optimized for different cancer types. The fundamental protocol involves interstitial administration of ICG around the tumor or in the drainage basin, followed by dynamic imaging of lymphatic flow and nodal accumulation.
Table 2: Experimental Protocol for ICG Lymphatic Mapping
| Parameter | Technical Specifications | Application Examples |
|---|---|---|
| ICG Preparation | 2.5-10 mg/mL in sterile water; some protocols use ICG:human serum albumin complexes for improved retention [75]. | Gastric cancer: 0.5-1.0 mL injections in submucosa around tumor [3]. |
| Injection Site | Peritumoral (for tumor drainage) or peripheral (for anatomical basin mapping) [77] [3]. | Bladder cancer: Intracutaneous injection in lower limbs and perineum visualizes pelvic nodes within 1 hour [77]. |
| Injection Timing | 1-4 hours preoperatively for peripheral injection; intraoperative for peritumoral injection [77] [3]. | Breast cancer: Combination with radioisotopes or methylene blue increases detection to 98.3% [3]. |
| Imaging Protocol | Real-time imaging during dissection; quantitative threshold of >1.25x background fluorescence for SLN identification [3]. | Lung cancer: Lung ventilation after injection improves detection rates from 35.0% to 65.2% [3]. |
| Validation | Histopathological correlation of fluorescent vs. non-fluorescent nodes [3]. | Colorectal cancer: 90-95% detection rate with 5 mg ICG injected subserosally around tumor [3]. |
This protocol has demonstrated significant improvements in surgical efficiency and accuracy. In radical cystectomy with pelvic lymph node dissection, ICG guidance increased accuracy from 75.91% to 93.41% and reduced operative time by approximately 6 minutes [77]. The enhanced visual discrimination enables more precise dissection while preserving non-lymphatic structures, potentially reducing complications such as nerve injury.
Evaluation of tissue perfusion represents one of the most evidence-supported applications of ICG fluorescence imaging, with the SAGES 2025 guidelines recommending its use for esophageal and left-sided colorectal anastomosis [25] [76]. The experimental protocol involves intravenous ICG administration followed by quantitative assessment of fluorescence kinetics in the target tissue.
Experimental Protocol:
This approach has demonstrated significant clinical impact, with meta-analyses showing ICG reduces the risk of anastomotic leak and graft necrosis (OR = 0.30, 95% CI: 0.14-0.63) with a number needed to treat of 6.6 esophagectomies [75]. The quantitative assessment follows established rules such as the "90-second rule" for gastric conduit perfusion, where anastomosis is performed proximal to the point where fluorescence arrives within 90 seconds of arterial enhancement [75].
The WSES international consensus position paper strongly recommends ICG cholangiography during laparoscopic cholecystectomies for severe cholecystitis in the emergency setting [4]. This application provides critical anatomical guidance when inflammation distorts normal anatomy.
Experimental Protocol:
This protocol decreases the rate of bile duct injury and conversion to open surgery in the emergency setting, where anatomical distortion from inflammation increases surgical risk [4]. The real-time anatomical guidance is particularly valuable for surgeons in training and in complex cases where inflammation obscures traditional anatomical landmarks.
Robust validation of ICG fluorescence imaging requires both quantitative intraoperative metrics and correlation with clinical outcomes. The following table summarizes key efficacy endpoints across different applications based on current clinical evidence:
Table 3: Quantitative Efficacy Metrics for ICG Fluorescence-Guided Surgery
| Application | Primary Efficacy Endpoint | Quantitative Results | Evidence Level |
|---|---|---|---|
| Lymph Node Detection | Detection rate and accuracy of sentinel node identification [77] [3]. | ICG-guided PLND accuracy: 93.41% vs. 75.91% with standard technique [77]. | SAGES Recommendation [25] |
| Anastomotic Perfusion | Reduction in anastomotic leak rates [75]. | OR = 0.30, 95% CI: 0.14-0.63 for leak/graft necrosis [75]. | Meta-analysis Evidence [75] |
| Tumor Identification | Detection of non-regional metastases and primary cancers [25]. | Improved detection of hepatic metastases in colorectal cancer [79]. | SAGES Recommendation [25] |
| Biliary Visualization | Reduction in bile duct injuries and operative time [4]. | Decreased operative time and conversion rate in acute cholecystitis [4]. | WSES Consensus [4] |
| Marginal Assessment | Complete resection rates and margin status [65]. | 20% reduction in positive margins in head and neck cancer [65]. | Clinical Trial Data [65] |
The integration of artificial intelligence (AI) represents the next frontier in fluorescence-guided surgery, addressing key challenges in quantitative signal analysis [65]. Variable factors such as ambient light, camera orientation, distance from tissue, and heterogeneous fluorophore distribution can impair the validity of traditional fluorescence intensity measurements. AI-enhanced platforms can compensate for these variables through:
These computational approaches standardize quantitative analysis across operators and institutions, potentially overcoming one of the significant barriers to widespread standardization of fluorescence-guided surgery protocols.
Despite compelling evidence supporting its efficacy, several significant challenges impede seamless integration of ICG fluorescence imaging into complex surgical workflows. The technique requires careful coordination between surgical, nursing, and sometimes anesthesia teams, with a survey of wound care specialists reporting an average procedural time of 28.8 minutes for a single wound when using fluorescence imaging [78]. This time investment includes patient education, consent, equipment preparation, image acquisition, interpretation, and documentation.
Additional implementation barriers include limited tissue penetration (5-10 mm) that restricts visualization of deep structures, variable performance in patients with significant inflammation or scarring, and suboptimal specificity for tumor detection in some applications [4] [65]. Successful implementation depends on appropriate training, equipment availability, careful patient selection, and standardized protocols that minimize disruption to surgical workflow [4].
Future developments in fluorescence-guided surgery focus on enhancing specificity, quantification, and integration with complementary technologies. Key research priorities include:
These innovations, coupled with growing evidence from randomized trials and consensus guidelines, will further solidify the role of fluorescence-guided surgery as an essential component of precision cancer surgery and complex gastrointestinal procedures.
Fluorescence-guided surgery (FGS) using indocyanine green (ICG) has emerged as a transformative technology in surgical oncology and precision medicine, enabling real-time visualization of critical anatomical structures and pathological tissues [80] [11]. While ICG fluorescence imaging provides significant advantages over traditional surgical visualization, its diagnostic accuracy and quantitative potential are frequently compromised by technical artifacts that interfere with signal acquisition and interpretation [1] [81]. These artifacts stem from the complex photophysical properties of ICG, variable tissue interactions, and instrumentation limitations that collectively introduce substantial noise into fluorescence signals. For researchers and drug development professionals, understanding and mitigating these sources of interference is paramount for developing robust imaging protocols and advancing the translational potential of FGS. This application note provides a comprehensive framework for identifying, quantifying, and correcting the principal technical artifacts in ICG fluorescence imaging, supported by experimental data and standardized protocols designed to enhance reproducibility across research settings.
ICG exhibits a non-linear fluorescence response that is highly dependent on concentration, a phenomenon known as concentration-dependent quenching. This occurs when ICG molecules form aggregates at high concentrations, leading to self-absorption of emitted photons and internal conversion of this energy to heat rather than fluorescence [81]. This fundamental property creates significant challenges for quantitative imaging, as fluorescence intensity does not linearly correlate with ICG concentration across the clinically relevant range.
Experimental data reveals that ICG dissolved in distilled water reaches maximum fluorescence intensity at concentrations between 8-30 μg/mL, with substantial quenching observed at higher concentrations [82]. The optimal concentration varies with the solvent composition; when bound to albumin in plasma, ICG demonstrates more than double the fluorescence intensity compared to aqueous solutions at equivalent concentrations [82]. This quenching effect follows a predictable pattern that must be accounted for in experimental design and data interpretation.
Figure 1: Concentration-Dependent Quenching Pathway of ICG Fluorescence
The chemical environment in which ICG is dissolved significantly impacts its fluorescence quantum yield through various mechanisms. ICG fluorescence intensity varies substantially across different solvents due to differential protein binding capacity and ionic strength effects [82]. When dissolved in albumin-containing solutions (e.g., bovine serum albumin or human plasma), ICG demonstrates enhanced fluorescence intensity and stability compared to aqueous solutions, as protein binding prevents molecular aggregation and reduces quenching effects [82].
Conversely, saline-based solvents substantially reduce ICG fluorescence intensity by almost 50% compared to distilled water at equivalent concentrations, while dextrose solutions show intermediate performance with faster signal decay over time [82]. These solvent effects necessitate careful consideration in experimental design, particularly for preclinical studies where formulation consistency is crucial for reproducible results.
Table 1: Solvent Effects on ICG Fluorescence Intensity and Stability
| Solvent Type | Relative Fluorescence Intensity | Signal Stability | Optimal Concentration Range | Key Considerations |
|---|---|---|---|---|
| Distilled Water | 1.0 (reference) | Moderate decay over 24 hours | 8-30 μg/mL | Rapid photobleaching; limited clinical relevance |
| Albumin Solution | 2.3x higher than water | High stability (>5 days) | 8-30 μg/mL | Mimics physiological conditions; enhanced intensity |
| Plasma | 2.3x higher than water | High stability (>5 days) | 8-30 μg/mL | Most physiologically relevant; complex preparation |
| Saline | 0.5x lower than water | Moderate stability | 8-30 μg/mL | Common clinical use despite reduced intensity |
| Dextrose Solution | 0.7x higher than saline | Rapid decay | 8-30 μg/mL | Limited utility for quantitative applications |
Photobleaching represents a significant source of signal artifact in time-series imaging studies, characterized by the irreversible photochemical degradation of ICG molecules under prolonged illumination. The rate of photobleaching is influenced by multiple factors including excitation power density, illumination duration, and solvent environment [82]. In aqueous solutions, ICG fluorescence intensity demonstrates substantial decay within 24 hours, while albumin-bound ICG maintains stable fluorescence for over 5 days under equivalent conditions [82].
Temporal decay patterns must be characterized for each experimental setup to distinguish true physiological clearance from artifact-induced signal loss. This is particularly important in longitudinal imaging studies and kinetic modeling of ICG distribution, where uncorrected photobleaching can lead to significant misinterpretation of pharmacokinetic parameters.
Fluorescence imaging systems introduce several potential sources of technical artifact that can compromise signal fidelity. Background interference from tissue autofluorescence, excitation light leakage, and non-uniform illumination can substantially reduce signal-to-noise ratios [1] [81]. Instrument-specific factors including detector sensitivity, filter performance, and light source stability contribute to variability in fluorescence measurements across platforms.
In clinical applications, background liver fluorescence can interfere with biliary structure visualization during cholecystectomy, with severity quantified using standardized disturbance scores [34]. This hepatic background signal varies with ICG dose and timing, requiring optimization for specific clinical applications. For instance, in laparoscopic cholecystectomy, a dose of 0.25 mg ICG administered 0.5-3 hours before surgery provides optimal contrast between bile ducts and liver parenchyma [52].
Normalization approaches can mitigate variability from instrumental and environmental factors, enhancing reproducibility across experiments. Area Under the Curve (AUC) normalization of ICG kinetic curves improves repeatability by accounting for overall signal amplitude variations between measurements [1]. This approach is particularly valuable in perfusion assessment studies where relative flow characteristics are more informative than absolute intensity values.
Ratio-based methods comparing fluorescence signals in regions of interest to reference tissues compensate for heterogeneous illumination and tissue optical properties [1]. However, these methods require careful implementation as reference tissue selection significantly influences quantitative outcomes. For burn depth assessment, normalized ICG kinetics parameters including Mean Transit Time (MTT) and Full Width at Half Maximum (FWHM) demonstrate high reliability across imaging sessions and between subjects [1].
Certain derived parameters from ICG kinetics show inherent resistance to common interference sources, making them particularly valuable for quantitative analysis. MTT and FWHM remain relatively stable despite variations in experimental conditions, as they reflect temporal characteristics rather than absolute intensity values [1]. These parameters have demonstrated strong correlation with burn severity in experimental models, maintaining diagnostic accuracy despite technical variations in image acquisition [1].
For tissue viability assessment, the combination of multiple kinetic parameters (peak value, residual AUC, ingress and egress slopes) provides robust classification that is less susceptible to individual artifact sources than single-parameter analyses [1]. Superficial burns exhibit characteristically higher peak intensity, rAUC, and ingress/egress slopes compared to normal tissue, while deep burns show the opposite pattern [1].
Table 2: ICG Kinetic Parameters for Artifact-Resistant Quantitative Analysis
| Parameter | Definition | Resistance to Interference | Clinical/Research Application | Interpretation |
|---|---|---|---|---|
| Mean Transit Time (MTT) | Average time for ICG passage through tissue | High - independent of absolute intensity | Burn depth assessment, perfusion imaging | Prolonged MTT indicates reduced perfusion |
| Full Width at Half Maximum (FWHM) | Duration of fluorescence curve at half-maximal intensity | High - temporal rather than intensity-based | Tissue viability, burn severity | Wider FWHM suggests impaired clearance |
| Ingress Slope (s1) | Initial rate of signal increase | Moderate - affected by injection technique | Angiogenesis assessment, tumor characterization | Steeper slope indicates rapid inflow |
| Egress Slope (s2) | Rate of signal decay after peak | Moderate - influenced by metabolic status | Liver function, lymphatic clearance | Steeper slope reflects efficient clearance |
| Residual AUC (rAUC) | Area under curve after peak normalization | Moderate - requires proper normalization | Tissue retention studies | Higher rAUC suggests accumulation |
Advanced image processing techniques can extract meaningful information from fluorescence data despite the presence of artifacts. Texture analysis metrics, including Euler number, fractal dimension, and power spectral density slope, can differentiate tumor tissue from normal background based on vascular architecture rather than absolute fluorescence intensity [83]. This approach is particularly valuable when intensity-based classification is compromised by quenching or concentration variations.
Hybrid models combining fluorescence intensity with texture metrics have demonstrated improved accuracy for tumor demarcation in breast conserving surgery, achieving sensitivity of 0.75 and specificity of 0.89 at pixel-level resolution [83]. These computational approaches mitigate artifacts by leveraging multiple complementary features rather than relying on a single potentially compromised parameter.
Purpose: To prepare ICG solutions with consistent fluorescence properties and minimal quenching artifacts for in vivo lymphatic imaging.
Materials:
Procedure:
Validation Metrics:
Purpose: To standardize fluorescence imaging for laparoscopic cholecystectomy with optimized contrast and minimal background interference.
Materials:
Procedure:
Validation Metrics:
Purpose: To establish standardized ICG angiography protocol for objective burn depth classification resistant to common artifacts.
Materials:
Procedure:
Validation Metrics:
Table 3: Research Reagent Solutions for ICG Fluorescence Studies
| Reagent/Material | Function | Optimal Specifications | Application Notes |
|---|---|---|---|
| ICG Powder | Fluorescent contrast agent | Pharmaceutical grade, 25mg vials | Protect from light; use within 6 hours of reconstitution |
| Sterile Water | Solvent for stock solutions | Pyrogen-free, sterile water for injection | Avoid bacteriostatic water which may alter fluorescence |
| Albumin Solution | Protein-based solvent | 5% Bovine Serum Albumin (BSA) | Mimics human plasma binding; enhances fluorescence intensity |
| Spectrometer | Fluorescence quantification | NIR-sensitive (750-950nm range) | Required for pre-study validation of formulations |
| NIR Imaging System | Clinical fluorescence imaging | Compatible with 785nm excitation/830nm emission | Standardize settings across experiments |
| Image Analysis Software | Quantitative intensity measurement | ImageJ or equivalent with batch processing | Enables standardized ROI analysis and intensity ratios |
| Standardized Light Source | Consistent excitation | 785nm laser with calibrated output | Maintains consistent excitation power across experiments |
| Reference Phantom | Instrument calibration | Solid phantom with known fluorescence | Validates system performance between imaging sessions |
Technical artifacts in ICG fluorescence imaging present significant challenges for research and clinical translation, yet systematic approaches to identification and mitigation can substantially enhance data quality and interpretation. Concentration-dependent quenching, solvent effects, photobleaching, and instrumentation limitations represent key interference sources that can be addressed through optimized formulation, standardized acquisition protocols, and computational correction methods. The integration of artifact-resistant kinetic parameters and normalization strategies provides a framework for robust quantitative analysis across diverse experimental conditions. As FGS continues to evolve as a precision medicine tool, rigorous attention to these technical considerations will be essential for advancing its applications in oncologic surgery, perfusion assessment, and lymphatic mapping. The protocols and analytical approaches outlined in this document provide researchers with standardized methods to minimize variability and enhance reproducibility in ICG fluorescence studies.
Figure 2: Comprehensive Workflow for Mitigating ICG Fluorescence Artifacts
Anastomotic leak (AL) represents a dire complication in colorectal surgery, contributing significantly to patient morbidity, mortality, prolonged hospitalization, and increased healthcare costs [84] [85]. Contemporary surgical series report AL rates ranging from 1% to 19%, with higher rates observed in low rectal anastomoses [86]. This complication not only leads to immediate septic consequences but also adversely affects long-term oncological outcomes, increasing local recurrence and reducing overall survival [84]. Despite advancements in surgical techniques and perioperative care, AL incidence has remained stable over recent years, necessitating continued research into effective preventive strategies [84] [85]. Within the broader context of fluorescence-guided surgery research, this review synthesizes evidence from multiple meta-analyses on interventions aimed at reducing AL, with particular emphasis on emerging technologies like indocyanine green (ICG) fluorescence imaging which represents a promising precision surgery tool [25] [4].
Table 1: Summary of Meta-Analyses on Anastomotic Leak Prevention Strategies
| Prevention Strategy | Number of Studies | Number of Patients | Effect on Anastomotic Leak | Level of Evidence |
|---|---|---|---|---|
| Mechanical Bowel Preparation (MBP) Alone | 13-36 RCTs [85] | 1,454-21,568 [85] | No significant reduction [84] [85] | 1A [85] |
| Oral Antibiotics (OA) + MBP | 40 studies [85] | 69,517 [85] | Reduced AL (2.8% vs 5.7%) [84] | 1B [85] |
| Fluorescence Angiography (ICG) | 4 RCTs [85] | 1,177 [85] | Significant reduction [84] [85] | 1B [85] |
| Stapled vs Handsewn Anastomosis (Right Colectomy) | 7 RCTs [85] | 1,125 [85] | Superior for stapled technique [85] | 1B [85] |
| Diverting Stoma (Low Anterior Resection) | 8-27 studies [85] | 892-15,180 [85] | Reduced AL and reoperation rates [85] | 1B [85] |
| Drainage (Low Anterior Resection) | 8 studies [85] | 2,277 [85] | Reduced AL rate [85] | 1B [85] |
| Transanal Tube | Limited studies [85] | - | Reduced AL rate [85] | 2B [85] |
Table 2: Risk Factors for Anastomotic Leak and Modifiability Potential
| Risk Factor | Odds Ratio/Risk Estimate | Modifiability | Proposed Preventive Action |
|---|---|---|---|
| Diabetes | OR 2.40 [86] | Modifiable | Preoperative optimization [86] |
| Anemia | OR 5.40 [86] | Modifiable | Preoperative correction [86] |
| Vasopressor Use | OR 4.2 (phenylephrine) [86] | Modifiable | Prefer noradrenaline [86] |
| Emergency Surgery | OR 1.31 [86] | Non-modifiable | Consider stoma [85] |
| Smoking | RR 3.18 [86] | Modifiable | Preoperative cessation [84] |
| Alcohol | RR 7.18 [86] | Modifiable | Preoperative abstinence [84] |
| Corticosteroids | 6.19% vs 3.33% [86] | Partially modifiable | Consider dose reduction [86] |
Protocol Objective: To evaluate bowel perfusion at the planned anastomotic site using indocyanine green (ICG) fluorescence imaging.
Materials and Reagents:
Procedure:
Validation Parameters:
Protocol Objective: To implement delayed observation of anastomotic perfusion through pre-division of mesentery (PDM) at the intended transection site.
Materials:
Procedure (PDM Group):
Control Group (Non-PDM):
Outcome Measures:
Emerging evidence suggests that AL may result from localized infective processes involving collagenase-producing pathogens that impair healing at the anastomotic site [84]. The microbiome's role in AL pathogenesis involves specific signaling pathways:
Molecular Pathway:
Experimental Evidence:
Fluorescence angiography with ICG enables real-time evaluation of tissue perfusion, addressing the critical factor in anastomotic healing. The algorithm for perfusion assessment integrates both traditional visual evaluation and advanced fluorescence imaging:
Integrated Decision Pathway:
Table 3: Essential Research Reagents and Materials for Anastomotic Leak Studies
| Reagent/Material | Function/Application | Research Context |
|---|---|---|
| Indocyanine Green (ICG) | Near-infrared fluorophore for perfusion assessment [25] [4] | Fluorescence angiography studies |
| Selective MMP Inhibitors (e.g., AZD3342) | Inhibit MMP-8, MMP-9, MMP-12 activity [84] | Mechanistic studies on anastomotic healing |
| Anti-TNFα Agents (e.g., Infliximab) | Investigate immunosuppression impact on healing [86] | IBD patient surgical outcomes |
| mTOR Inhibitors (e.g., Sirolimus) | Study immunosuppressant effects on anastomosis [86] | Transplant patient surgical models |
| Butyrate Formulations | Investigate protective microbiome effects [84] | Microbiome modulation studies |
| Collagenase Assays | Quantify collagen degradation activity [84] | Pathogen contribution to AL |
| Bacterial Culture Collections | Define microbiome profiles in AL [84] | Microbiome-anastomotic healing research |
The synthesis of meta-analyses on anastomotic leak reduction reveals several evidence-based strategies that can significantly impact this devastating complication. Fluorescence angiography with ICG emerges as a particularly promising intervention within the precision surgery paradigm, providing objective assessment of tissue perfusion and enabling real-time surgical modifications [25] [4]. The combination of oral antibiotics with mechanical bowel preparation, selective use of diverting stomas in high-risk anastomoses, and technique refinements like pre-division of mesentery all contribute to reduced AL rates [84] [85] [87].
Future research directions should focus on standardized protocols for ICG administration and interpretation, personalized approaches based on microbiome profiling, and combination strategies addressing both systemic risk factors and local technical considerations. The continued investigation of these interventions through rigorous randomized controlled trials and mechanistic studies will further elucidate the multifactorial pathogenesis of AL and advance the development of targeted preventive strategies.
The integration of Indocyanine Green (ICG) fluorescence imaging in gastrointestinal cancer surgery consistently demonstrates significant improvements in lymph node harvest and key oncological survival metrics across multiple cancer types, as summarized in the table below.
Table 1: Quantitative Impact of ICG Fluorescence Guidance on Surgical and Oncological Outcomes
| Cancer Type | Study Design | Lymph Node Yield (Mean Difference) | Oncological Outcomes | Key Findings |
|---|---|---|---|---|
| Gastric Cancer | Randomized Controlled Trial (5-year follow-up) [88] [89] | +6.32 nodes (95% CI: 4.43–8.22) [11] | 5-Year Overall Survival (OS): Significantly improved (ICG vs. non-ICG, log-rank P<0.05) [88] [89]5-Year Disease-Free Survival (DFS): Significantly improved (ICG vs. non-ICG, log-rank P<0.05) [88] [89]Cumulative Recurrence: 20.2% vs. 34.1% (ICG vs. non-ICG) [88] | ICG guidance reduced early recurrence (within 2 years) and showed a notably lower cumulative incidence of locoregional recurrence (1.6% vs. 7.8%) [88] [89]. |
| Gastric Cancer | Retrospective Cohort (Propensity Score-Matched) [90] | +3.8 nodes (46.4 ± 8.5 vs. 42.6 ± 11.5, P<0.01) [90] | 3-Year OS: 80% vs. 66% (ICG vs. non-ICG, log-rank P<0.01) [90]3-Year DFS: 74% vs. 60% (ICG vs. non-ICG, log-rank P<0.01) [90] | ICG use was an independent prognostic factor for improved DFS (HR=0.44) and OS (HR=0.44) [90]. |
| Colorectal Cancer | Prospective Cohort (Propensity Score-Matched) [91] | +4.5 nodes (20.8 vs. 16.3, P<0.001) [91] | Overall Survival: ICG was an independent prognostic factor for improved OS (HR=2.544, 95% CI: 1.088–5.948, P=0.031) [91] | ICG mapping revealed highly personalized central lymphatic drainage patterns, guiding more precise dissections [91]. |
| Gastric Cancer | Systematic Review & Meta-Analysis [92] | +6 nodes (Pooled MD: +4.4 to +7.4, p<0.001) [92] | N/A | The greatest benefit in lymph node yield was observed in robotic gastrectomy, followed by laparoscopic approaches [92]. |
This protocol is adapted from the FUGES-012 randomized clinical trial, which demonstrated significant improvements in 5-year survival [88] [89].
This protocol is derived from a prospective cohort study that showed improved lymph node retrieval and survival in left-sided colon and rectal cancer [91].
The following diagram illustrates the sequential workflow for ICG administration, imaging, and surgical navigation in fluorescence-guided cancer surgery.
Table 2: Essential Reagents and Materials for ICG Fluorescence-Guided Surgery Research
| Item | Function/Description | Research Considerations |
|---|---|---|
| Indocyanine Green (ICG) | A water-soluble cyanine dye that binds to plasma proteins, emitting fluorescence (~830 nm) when excited by NIR light [11] [94]. | The lack of standardized dosing is a key research gap. Studies use varying concentrations (e.g., 0.5 mg/mL [93], 1.25 mg/mL [91] [90]) and volumes. |
| NIR Fluorescence Imaging System | A specialized camera system that can switch between white light and NIR fluorescence modes to visualize ICG signals in real-time [89] [90]. | Compatibility with laparoscopic, robotic, or open platforms is essential. Systems from manufacturers like Stryker (NOVADAQ) and Karl Storz are commonly used [89] [95]. |
| Endoscopic Injection Needle | A standard 23G needle used for precise preoperative submucosal injection of ICG around the tumor under direct endoscopic visualization [90]. | Allows for controlled injection depth and location, which is critical for consistent lymphatic mapping. |
| Sterile Water for Injection | The solvent recommended for reconstituting ICG powder to the desired concentration [90] [95]. | Using the correct solvent is crucial for maintaining the stability and fluorescence properties of ICG. |
The World Society of Emergency Surgery (WSES) has established a comprehensive international consensus position paper on indocyanine green (ICG) fluorescence-guided surgery in the emergency setting [96]. This guidance addresses the critical need for enhanced intraoperative visualization during urgent surgical interventions, where rapid decision-making and precision are paramount. ICG fluorescence imaging provides real-time, advanced visualization of anatomical structures and tissue perfusion, enabling surgeons to assess vascularization, identify critical structures, and evaluate tissue viability during emergency procedures [25].
The versatile applications of ICG fluorescence imaging in emergency surgery include assessment of bowel viability in cases of intestinal obstruction or ischemia, evaluation of anastomotic perfusion following traumatic bowel injury, identification of biliary anatomy during urgent cholecystectomy, and localization of bleeding sites in gastrointestinal hemorrhage [96]. The WSES guidelines provide evidence-informed recommendations for implementing this technology across various emergency general surgery scenarios, with particular relevance to trauma surgery, emergency digestive surgery, and surgical management of abdominal catastrophes [97] [96].
Recent clinical research has established quantitative thresholds for ICG perfusion parameters that correlate with adequate tissue oxygenation in colorectal surgery. These values provide objective criteria for surgical decision-making in emergency settings where anastomotic viability is concerned [98].
Table 1: Safe Values for Quantitative ICG Perfusion Parameters in Colorectal Surgery
| Parameter | Description | Safe Value | Correlation with Tissue Oxygenation |
|---|---|---|---|
| T1/2MAX | Time to reach half of maximum fluorescence intensity | ≤10 seconds | Associated with colon tissue oxygenation >60% |
| TMAX | Time from first fluorescence increase to maximum intensity | ≤30 seconds | Predictive of adequate perfusion for anastomotic healing |
| Slope | Rate of fluorescence intensity increase (ΔF/ΔT) | ≥5 | Correlates with satisfactory microcirculatory flow |
| NIR Perfusion Index | Relative perfusion measurement | ≥50 | Reflects sufficient tissue oxygenation |
These parameters were validated through comparison with tissue oxygen saturation (StO2) levels measured via hyperspectral imaging (HSI), demonstrating that T1/2MAX ≤10 seconds and TMAX ≤30 seconds best reflected colon StO2 higher than 60% [98]. The perfusion parameters T1/2MAX, TMAX, and perfusion TR showed exceptional sensitivity values of 97% or more in identifying tissues with acceptable oxygenation levels [98].
The establishment of these safe values represents a significant advancement in moving from subjective visual assessment to objective quantification of tissue perfusion. In the referenced study, when colonic StO2 was less than 50% and T1/2MAX was delayed beyond 25 seconds, indicating poor perfusion, surgeons adjusted the transection line proximally and repeated perfusion evaluations [98]. This protocol allowed for intraoperative decision-making based on quantified perfusion metrics rather than visual assessment alone.
The regression model developed in this research demonstrated that T1/2MAX, TMAX, slope, and NIR perfusion index all correlated significantly with tissue oxygen saturation [98]. This multi-parameter approach provides redundancy in assessment and increases the reliability of perfusion evaluation in critical emergency situations where anastomotic failure could have devastating consequences.
For consistent and reproducible results in fluorescence-guided emergency surgery, the WSES guidelines recommend a standardized approach to ICG administration and imaging [96]:
ICG Preparation:
Dosage and Administration:
Imaging Protocol:
For research applications and precise surgical decision-making, the following quantitative analysis protocol is recommended:
Data Acquisition:
Parameter Calculation:
Validation with Tissue Oxygenation:
For comprehensive tissue viability assessment in complex emergency cases, the WSES guidelines support integrating ICG fluorescence with complementary imaging modalities:
Hyperspectral Imaging (HSI) Integration:
Standardized Assessment Points:
Recent systematic reviews and meta-analyses have demonstrated significant clinical benefits for specific applications of ICG fluorescence imaging in emergency surgical procedures [11].
Table 2: Evidence-Based Applications of ICG Fluorescence in Emergency Surgery
| Application | Evidence Level | Key Outcome Measures | Effect Size |
|---|---|---|---|
| Colorectal Anastomosis | High (7 RCTs) | Anastomotic leak reduction | OR 0.58 (95%CI: 0.44-0.75) [11] |
| Bowel Perfusion Assessment | Moderate | Change in transection point | OR 35.15 (95%CI: 8.72-141.77) [11] |
| Lymph Node Identification | High | Lymph node retrieval in GI cancer | MD 6.32 nodes (95%CI: 4.43-8.22) [11] |
| Biliary Tree Identification | Moderate | Improved visualization of anatomy | Reduced conversion rates [99] |
| Tissue Viability Assessment | Emerging | Prediction of anastomotic healing | Correlation with StO2 >60% [98] |
The WSES recommends a structured approach to implementing ICG fluorescence guidance in emergency surgery settings [96]:
Institutional Protocol Development:
Equipment and Technical Requirements:
Special Considerations for Emergency Applications:
Table 3: Essential Research Materials for ICG Fluorescence-Guided Surgery Studies
| Category | Specific Product/Equipment | Research Function | Key Specifications |
|---|---|---|---|
| Fluorophore | Indocyanine Green (ICG) | Near-infrared fluorescent contrast agent | 25 mg vials, water-soluble, peak excitation ~800 nm [98] |
| Imaging System | Laparoscopic NIR Camera | Real-time fluorescence detection | Stryker 1588 AIM, Karl Storz IMAGE1 S, Olympus VISERA Elite [98] |
| Quantitative Software | ICG Analyzer Program 8.0 | Quantitative perfusion parameter calculation | TMAX, T1/2MAX, slope, intensity analysis [98] |
| Validation System | TIVITA Tissue System | Hyperspectral imaging for tissue oxygenation | StO2 measurement, NIR perfusion index [98] |
| Analysis Tools | Automatic Data Extraction & Visualization Program 2.0 | HSI data processing and color mapping | Automated StO2 analysis, 15-second processing [98] |
For advanced research in ICG fluorescence-guided surgery, several specialized reagents and methodologies are employed:
Advanced Imaging Modalities:
Experimental Validation Tools:
The WSES guidelines highlight several areas requiring further investigation to strengthen the evidence base for ICG fluorescence in emergency surgery [96] [11]:
Procedures with Limited Evidence:
Technical Advancements Needed:
Outcome Studies Required:
The ongoing development of the WSES guidelines continues to incorporate emerging evidence, with regular updates planned as new research clarifies optimal applications of ICG fluorescence imaging in emergency surgery [97] [96].
The integration of indocyanine green (ICG) fluorescence-guided surgery represents a significant technological advancement in surgical precision, yet its implementation requires rigorous economic evaluation to ensure efficient allocation of healthcare resources. Cost-benefit analysis (CBA) provides a systematic framework for quantifying the economic value of medical technologies by comparing their total costs against the monetary value of their benefits. In healthcare settings, this methodology helps decision-makers determine whether the improved patient outcomes and operational efficiencies justify the substantial investments required for new technologies like ICG fluorescence imaging systems.
For fluorescence-guided surgery using ICG, comprehensive economic assessment must consider direct costs (imaging equipment, ICG agent, maintenance) against clinical benefits (reduced operative time, decreased complications, shorter hospital stays, improved survival) and system efficiencies (better resource utilization, increased surgical throughput). The following sections provide a detailed economic framework, application-specific protocols, and analytical tools to support healthcare systems in evaluating ICG fluorescence implementation.
Healthcare cost-benefit analysis for surgical technologies requires examination of both direct and indirect factors across multiple stakeholders. The framework below outlines essential consideration categories:
Table 1: Core Components of CBA for ICG Fluorescence-Guided Surgery Implementation
| Cost Categories | Benefit Categories | Stakeholder Considerations |
|---|---|---|
| Direct System Costs: Imaging equipment, ICG agent, specialized instrumentation | Clinical Outcomes: Improved resection completeness, reduced complication rates, decreased recurrence | Patients: Improved quality of life, reduced morbidity, better survival outcomes |
| Induced Costs: Staff training, maintenance contracts, system updates | Operational Efficiency: Reduced operative time, decreased conversion rates, shorter hospital stays | Surgeons: Enhanced visualization, improved surgical precision, learning curve |
| Opportunity Costs: Alternative technology investments, training time allocation | Economic Impact: Cost avoidance from reduced complications, increased surgical capacity | Healthcare Institutions: Capital investment, space allocation, service line expansion |
| Implementation Costs: Workflow integration, protocol development, quality monitoring | System Value: Improved referral patterns, institutional reputation, research opportunities | Payers: Reimbursement structures, episode-of-care costs, value-based purchasing |
Recent studies provide substantive data supporting the economic value of ICG fluorescence across surgical applications:
Table 2: Economic and Outcome Evidence for ICG Fluorescence-Guided Surgery
| Surgical Application | Economic/Outcome Metrics | Comparative Results | Data Source |
|---|---|---|---|
| Gastric Cancer Lymphadenectomy | Incremental cost-effectiveness ratio (ICER) | $886.30 per QALY gained [100] | |
| Laparoscopic Cholecystectomy | Operative time | Weighted mean difference: -12.11 minutes [14] | |
| Laparoscopic Cholecystectomy | Hospital stay | Weighted mean difference: -0.60 days [14] | |
| Laparoscopic Cholecystectomy | Conversion to open surgery | Odds ratio: 0.22 [14] | |
| Liver Surgery Tumor Detection | Detection rate | 87.4% across 3739 patients [101] | |
| Fluorescence-Guided Surgery Market | Projected global market value (2034) | USD 468 million [102] |
Clinical Application: Laparoscopic lymphadenectomy for gastric cancer using ICG fluorescence guidance.
Experimental Protocol:
Economic Considerations: Based on the FUGES-012 trial, a partitioned survival model with a 20-year time horizon demonstrated cost-effectiveness with an ICER of $886.30 per QALY gained, well below the willingness-to-pay threshold of 3 times China's 2024 per capita GDP. Probabilistic sensitivity analysis showed a 99.30% probability of being cost-effective [100].
Clinical Application: Liver resection surgery with ICG fluorescence for tumor detection and segmentation.
Experimental Protocol:
Economic Considerations: A systematic review of 140 studies demonstrated an 87.4% tumor detection rate with 10.5% false-positive rate. The standardization of ICG protocols enhances reliability and cost-effectiveness by reducing variation in outcomes [101]. The technical success in visualization of critical structures reduces operative time and potentially decreases the need for additional imaging.
Clinical Application: ICG angiography for bowel viability assessment and ICG cholangiography for acute cholecystitis.
Experimental Protocol:
Economic Considerations: The World Society of Emergency Surgery recommends ICG applications in emergency settings based on evidence demonstrating reduced operative time, decreased conversion rates, and potentially shorter hospital stays [12]. These efficiencies translate to significant cost savings despite initial technology investment, particularly in high-volume emergency settings.
Table 3: Essential Research Reagents and Materials for ICG Fluorescence-Guided Surgery
| Item | Specifications | Research Function | Example Vendors/Products |
|---|---|---|---|
| ICG Contrast Agent | 25 mg vials, water-soluble | Near-infrared fluorophore for tissue visualization | PULSION, Diagnostic Green |
| NIR Fluorescence Imaging Systems | PINPOINT, SPY, FLUOBEAM, robotic-integrated platforms | Real-time intraoperative imaging | Stryker, Medtronic, Olympus, Hamamatsu |
| Laparoscopic/Robotic Integration Platforms | da Vinci Firefly, VISERA ELITE III | Integrated surgical visualization | Intuitive Surgical, Olympus |
| Quantitative Analysis Software | IC-CALC, ROI analysis tools | Objective fluorescence intensity measurement | Various specialized software |
| Standardized Protocol Templates | Dosage, timing, administration routes | Research reproducibility and comparison | Institutional protocol development |
The comprehensive evaluation of ICG fluorescence requires a structured approach to capture all relevant economic variables:
Successful implementation of ICG fluorescence technology requires addressing several critical factors:
The high initial investment in fluorescence imaging systems represents a significant barrier, particularly for smaller healthcare facilities [103]. However, the demonstrated improvements in surgical outcomes and operational efficiencies create a compelling value proposition when evaluated over appropriate time horizons. Implementation should be staged, beginning with high-volume applications where the evidence base is strongest, such as oncologic resections and complex biliary surgery.
Cost-benefit analysis of ICG fluorescence-guided surgery demonstrates compelling economic value across multiple surgical applications when properly implemented. The technology shows particular strength in improving surgical precision, reducing operative times, decreasing conversion rates, and potentially shortening hospital stays. These clinical advantages translate to economic benefits that offset the substantial initial investment required for implementation.
Healthcare systems should approach implementation through structured economic evaluation that considers their specific case mix, volume, and strategic priorities. The protocols and frameworks presented provide a foundation for rigorous assessment and successful integration of this advanced surgical technology into clinical practice.
Fluorescence-guided surgery (FGS) represents a significant advancement in surgical precision, with indocyanine green (ICG) emerging as a leading fluorescent agent for real-time intraoperative imaging. As researchers and drug development professionals evaluate imaging technologies, understanding ICG's performance relative to alternative agents and traditional techniques becomes crucial for guiding research directions and clinical adoption. This application note provides a structured comparison of ICG's efficacy across surgical applications, detailing experimental protocols and quantitative outcomes to inform development strategies. The data presented herein situates ICG within the broader context of precision surgery, highlighting its unique biopharmaceutical properties and clinical performance metrics that differentiate it from conventional imaging approaches.
Table 1: Quantitative outcomes of ICG-guided versus conventional surgery across procedures
| Surgical Application | Comparative Metric | ICG-Guided Performance | Conventional Performance | Significance | Source |
|---|---|---|---|---|---|
| Colorectal Anastomosis | Anastomotic Leak Rate (OR) | OR: 0.58 | Reference (OR: 1.0) | p<0.001, 95% CI: 0.44-0.75 | [11] |
| Colorectal Anastomosis | Change in Transection Point | OR: 35.15 | Reference (OR: 1.0) | p<0.001, 95% CI: 8.72-141.77 | [11] |
| GI Cancer Surgery | Lymph Nodes Retrieved (Mean Difference) | +6.32 nodes | Reference | p<0.001, 95% CI: 4.43-8.22 | [11] |
| Gastric Cancer Lymphadenectomy | 1-Year Survival (RR) | RR: 1.04 | Reference (RR: 1.0) | Significant improvement | [104] |
| Gastric Cancer Lymphadenectomy | 2-Year Survival (RR) | RR: 1.09 | Reference (RR: 1.0) | Significant improvement | [104] |
| Gastric Cancer Lymphadenectomy | Intraoperative Blood Loss (MD) | -14.44 mL | Reference | Significant reduction | [104] |
| Laparoscopic Cholecystectomy | Operative Time (WMD) | -12.11 minutes | Reference | p=0.002, 95% CI: -19.63 to -4.60 | [14] |
| Laparoscopic Cholecystectomy | Cystic Duct Identification (OR) | OR: 3.76 | Reference (OR: 1.0) | p<0.001, 95% CI: 2.66-5.33 | [14] |
| Laparoscopic Cholecystectomy | Conversion to Open Surgery (OR) | OR: 0.22 | Reference (OR: 1.0) | p<0.001, 95% CI: 0.13-0.39 | [14] |
| Acute Cholecystectomy | Bailout Procedures (OR) | OR: 0.05 | Reference (OR: 1.0) | p<0.001, 95% CI: 0.00-0.33 | [105] |
Table 2: ICG fluorescence versus intraoperative cholangiography (IOC) in biliary imaging
| Performance Characteristic | ICG Fluorescence | Intraoperative Cholangiography (IOC) | Comparative Advantage |
|---|---|---|---|
| Biliary Structure Identification Success | OR: 2.94-3.76 for complete visualization [14] | Reference | Superior visualization of cystic and common bile ducts |
| Equipment Requirements | Standard laparoscopic stack with NIR capabilities | Bulky fluoroscopy equipment, radiation shielding | Reduced infrastructure needs |
| Additional Personnel | Not required | Radiologic technologist often needed | Streamlined operative team |
| Procedural Time | Faster biliary identification (WMD: -4.39 min, p<0.001) [14] | Longer setup and imaging time | Reduced operative duration |
| Risk of Iatrogenic Injury | Minimal (intravenous administration) | Cannulation risk of bile duct | Enhanced safety profile |
| Radiation Exposure | None | Patients and staff exposed | Eliminates radiation concern |
| Cost Considerations | Moderate (dye + equipment) | High (equipment, disposables, personnel) | Potential cost savings |
Application: Real-time biliary anatomy visualization during laparoscopic cholecystectomy
Reagents and Equipment:
Procedure:
Validation Metrics:
Figure 1: Experimental workflow for ICG fluorescence cholangiography protocol
Application: Enhanced lymph node retrieval in gastrointestinal oncology
Reagents and Equipment:
Procedure:
Validation Metrics:
Application: Anastomotic perfusion evaluation in colorectal, esophageal, and bariatric surgery
Reagents and Equipment:
Procedure:
Validation Metrics:
Table 3: Essential reagents and materials for ICG fluorescence research
| Research Reagent/Material | Specifications | Function in Experimental Protocols | Technical Considerations |
|---|---|---|---|
| Indocyanine Green (ICG) | Sterile lyophilized powder, 25 mg/vial | Primary fluorescent contrast agent | Light-sensitive, aqueous stability ~14-17h half-life [107] |
| ICG Formulations | Verdye (Europe), IC-Green (US), Spy Agent Green Kit | Region-specific approved formulations | Varied approved indications across jurisdictions [107] |
| Reconstitution Solvent | Sterile water for injection | Solvent for ICG preparation | Avoid saline for certain applications due to ionic effects |
| NIR Imaging Systems | Olympus VISERA ELITE III, KARL STORZ ICG systems | Detection of ICG fluorescence | Ensure compatibility with specific surgical platforms |
| Quantitative Analysis Software | ROI intensity measurement, kinetic analysis tools | Objective assessment of fluorescence | Enables standardization across research studies |
| Light-Shielding Materials | Amber vials, foil wraps | Protection from photodegradation | Critical for maintaining ICG stability in solution [107] |
| Standardized Scoring Systems | 5-point Likert scale, HELPFUL/DISTURBED scores | Quantitative assessment of visualization quality | Enables cross-study comparisons [34] |
ICG possesses unique biopharmaceutical properties that underpin its clinical performance. With a molecular weight of 774.96 g/mol and a partition coefficient (logP) of -0.29, ICG demonstrates hydrophilic characteristics, favoring distribution in plasma rather than tissue penetration [107]. The compound exhibits peak absorption at 750-800 nm and fluorescence emission at approximately 830 nm, optimal for tissue penetration with reduced autofluorescence [11].
ICG's mechanism involves extensive protein binding, primarily to albumin, which confines it to the vascular compartment until hepatic clearance. This binding profile enables applications in angiography and perfusion assessment. The hepatic excretion pathway (primarily unchanged into bile) facilitates cholangiography without metabolic alteration [107].
The chemical instability of ICG in aqueous solutions (half-life 14-17 hours at room temperature) necessitates lyophilized powder formulation with reconstitution immediately before use [107]. Degradation occurs through three primary pathways: reaction with singlet oxygen producing non-fluorescent fragments, heptamine truncation creating pentamethine homologues, and oxidative dimerization [107].
Figure 2: ICG pharmacokinetics and application pathways
ICG's performance advantages over traditional techniques stem from its real-time visualization capabilities and enhanced contrast resolution. In lymph node dissection, ICG enables visual differentiation of lymphatic tissue against background structures, resulting in more complete oncologic resections [104]. For anastomotic assessment, ICG angiography provides dynamic perfusion data superior to clinical assessment of bowel viability based solely on color and bleeding [11].
Compared to intraoperative cholangiography, ICG fluorescence offers continuous visualization without radiation exposure or procedural interruption [14]. The learning curve for interpretation is shorter than for cholangiogram interpretation, potentially reducing variability between surgeons [34].
The tissue penetration limitation of ICG (5-10 mm) represents both a constraint and a precision advantage, providing focused visualization of superficial structures without deep background interference [43]. This shallow penetration enables precise delineation of anatomical structures like bile ducts and ureters while minimizing artifact from underlying tissues [108].
ICG fluorescence guidance demonstrates superior performance across multiple surgical domains compared to conventional techniques, with Level I evidence supporting reduced anastomotic leak rates, enhanced lymph node retrieval, and improved safety in biliary surgery. The quantitative outcomes presented in this application note provide researchers and drug development professionals with robust metrics for evaluating ICG's role in the surgical imaging landscape. While ICG presents limitations in tissue penetration and stability profile, its favorable safety record and multifunctional applications position it as a versatile tool in precision surgery. Further development of quantitative imaging platforms and targeted fluorescent agents will build upon ICG's foundational technology to advance surgical visualization paradigms.
ICG fluorescence-guided surgery represents a significant advancement in precision surgery, providing real-time, enhanced visualization that improves clinical outcomes across multiple surgical domains. Evidence confirms its role in reducing anastomotic leaks, preventing biliary injuries, enhancing oncologic resections, and guiding complex emergency procedures. However, challenges remain in standardization, quantification, and optimizing protocols for diverse clinical scenarios. Future directions should focus on developing quantitative fluorescence imaging, establishing standardized dosing protocols, creating targeted ICG conjugates for specific tumor types, and integrating artificial intelligence for enhanced image interpretation. For researchers and drug development professionals, opportunities exist in advancing next-generation fluorophores, refining imaging hardware, and validating ICG's applications in new surgical fields, ultimately solidifying its role in the era of precision surgery and surgical optomics.