Submitted:
12 January 2026
Posted:
13 January 2026
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Abstract
Keywords:
1. Introduction
2. Materials and Methods
3. Results and Discussion
4. Perfusion Assessment
5. Lymphatic Mapping
6. Tumor Localization
7. Detection of Metastases
| PERFUSSION ASSESMENT | ||||
|---|---|---|---|---|
| Intraoperative aim | Advantages | Disadvantages | Limitations | Translational perspectives |
| – Assess anastomotic perfusion to optimize transection and reduce anastomotic leak | • Lower anastomotic leak reported in multiple series; supports decision-making • Enables immediate re-resection when fluorescence is poor • Excellent safety; only absolute contraindication is prior ICG/iodine hypersensitivity • Cost-neutral or potentially cost-effective in models • Usable in open, laparoscopic, and robotic workflows; complementary to hyperspectral imaging |
• Inconsistent effect across studies, with some neutral trials • Adequate fluorescence does not guarantee zero leaks (multifactorial etiology) • Adds operative time and requires training • Possible over-reliance on subjective visual appraisal |
• Heterogeneous dose and timing across studies • No universally accepted quantitative thresholds; predominantly visual, operator dependent • Platform variability (optics, gain, distance, filters) • Many single-center, small cohorts; typically serosal-side view only • Inconsistent pre- versus post-anastomosis checks; limited linkage to long-term outcomes |
• Standardized protocols, cross-platform calibration, and reporting checklists • Real-time quantification of time-intensity curves and AI-assisted interpretation • Multicenter randomized trials powered for leak rates and economics • Hybrid fluorescence angiography plus hyperspectral imaging workflows |
| LYMPHATIC MAPPING | ||||
| Intraoperative aim | Advantages | Disadvantages | Limitations | Translational perspectives |
| – Map lymphatic drainage paths and stations; selective sentinel node exploration | • Increases lymph node yield and reveals aberrant drainage that can change dissection extent • Safe and low barrier to adoption • May improve staging accuracy by reducing missed basins |
• With ICG alone, cannot distinguish benign from metastatic nodes • Heterogeneous sentinel node performance across series • Risk of non-oncologic “berry-picking” if the SLN concept is misapplied |
• No standardized injection protocol for dose, sites, and timing • Predominantly subjective visual assessments • Small, single-center cohorts with heterogeneous case mix • Limited oncologic follow-up linking mapping changes to outcomes • Signal degradation when tattooing is performed too early before surgery |
• Tumor-targeted tracers to add oncologic specificity (for example anti-CEA agents) • Standardized signal-to-background metrics and imaging windows • Multicenter randomized trials with oncologic endpoints such as stage migration and disease-free survival • Dual-modality approaches combining NIR with SPECT/CT and gamma probe • AI-based nodal quantification to reduce operator dependence |
| TUMOR LOCALIZATION | ||||
| Intraoperative aim | Advantages | Disadvantages | Limitations | Translational perspectives |
| – Identify the primary tumor and margins; validate transection; preoperative tattooing | • Early dynamic ICG patterns differentiate malignant from benign behavior in vivo • Submucosal ICG tattoo placed within 6 days achieves near-perfect detectability • Hyperspectral imaging adds oxygenation and perfusion mapping without contrast • Targeted agent SGM-101 shows promising clinical accuracy and can alter surgical strategy |
• Late or static spot fluorescence, especially ex vivo, does not reliably discriminate • Limited penetration and possible mucosal background reduce contrast for some targets • Requires direct line of sight |
• Small and heterogeneous clinical series; many early-phase or preclinical datasets for targeted probes • Variable dosing and timing; no standardized TBR or SBR cut-offs or cross-platform calibration • Limited evidence that fluorescence-guided margins translate to hard outcomes |
• Targeted agents such as SGM-101 for CEA, panitumumab-IRDye800CW for EGFR, EMI-137 for c-Met, activatable 6QC-ICG, and PD-L1 conjugates • Dual-channel 700 and 800 nm imaging combining targeted specificity with ICG functional sensitivity • AI and computer vision for automated detection and quantification • Integrated workflows that combine fluorescence angiography, targeted imaging, and hyperspectral imaging with harmonized reporting and metrics |
| DETECTION OF METASTASES | ||||
| Intraoperative aim | Advantages | Disadvantages | Limitations | Translational perspectives |
| – Detect and delineate metastases; guide margins and staging | • Liver: protruding rim fluorescence correlates with R1 margins; absence aligns with R0 and provides high negative predictive value • Reveals occult lesions missed by white light and ultrasound • Peritoneum: SGM-101 can increase lesion detection and PCI accuracy within multimodal workflows • Lung: targeted anti-CEA signals show high specificity ex vivo and aid nodule confirmation |
• Liver: additional fluorescent foci may be benign, lowering specificity • Subjective interpretation of rim versus background • Lung: limited optical penetration in vivo • Peritoneum: false positives are possible with anti-CEA targeting |
• Predominance of pilot or single-arm, single-center evidence • Variable doses and intervals for both ICG and targeted agents • Non-uniform imaging thresholds and camera platforms • Limited long-term outcomes and heterogeneous case mix |
• Dual-channel imaging that pairs targeted 700 nm with ICG 800 nm to balance sensitivity and specificity • AI-assisted quantification including automated rim detection • Multimodal validation embedded in protocols with ultrasound, gamma probe, and pathology • Prospective multicenter trials powered for strategy conversion, margin status, and oncologic endpoints with standardized calibration and thresholds |
8. Conclusions
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