SynthesisSurgical endoscopy2020
Optimizing quantitative fluorescence angiography for visceral perfusion assessment.
Synthesis in Surgical endoscopy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
37 citing papers in PubMed, 2 syntheses or guidelines pooled it, 69 citations in OpenAlex.
- Application of fluorescence-guided surgery in the acute care setting: a systematic literature review.Langenbeck's archives of surgery · 2023Pooled it
- Indocyanine green fluorescence angiography prevents anastomotic leakage in rectal cancer surgery: a systematic review and meta-analysis.Langenbeck's archives of surgery · 2021Pooled it
- Quantitative evaluation of colon perfusion after high versus low ligation in rectal surgery by indocyanine green: a pilot study.Surgical endoscopy · 2022Trial
- Improved Quantification of ICG Perfusion Through Motion Compensation in Fluorescence-Guided Surgery.Diagnostics (Basel, Switzerland) · 2026Article
- Standardized and Quantitative ICG Perfusion Assessment: Feasibility and Reproducibility in a Multicentre Setting.Life (Basel, Switzerland) · 2025Article
- Molecular Gold Nanoclusters for Advanced NIR-II Bioimaging and Therapy.Chemical reviews · 2025Review
- Quantitative intra-arterial fluorescence angiography for direct monitoring of peripheral revascularization effects.Journal of vascular surgery cases and innovative techniques · 2025Article
- AUGUR-AIM: Clinical validation of an artificial intelligence indocyanine green fluorescence angiography expert representer.Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland · 2025Observational
- Establishing reference curves for vital tissue perfusion using quantitative near-infrared fluorescence imaging with indocyanine green.Langenbeck's archives of surgery · 2025Article
- State of the art medical devices for fluorescence-guided surgery (FGS): technical review and future developments.Surgical endoscopy · 2024Review
- Dye-less quantification of tissue perfusion by laser speckle contrast imaging is equivalent to quantified indocyanine green in a porcine model.Surgical endoscopy · 2024Article
- Advancing indocyanine green fluorescence flap perfusion assessment via near infrared signal quantification.JPRAS open · 2024Article
- Current status and future trends of real-time imaging in gastric cancer surgery: A literature review.Heliyon · 2024Review
- A Green Lantern for the Surgeon: A Review on the Use of Indocyanine Green (ICG) in Minimally Invasive Surgery.Journal of clinical medicine · 2024Review
- Semi-automatic standardized analysis method to objectively evaluate near-infrared fluorescent dyes in image-guided surgery.Journal of biomedical optics · 2024Article
- Optimizing Indocyanine Green Dosage for Near-Infrared Fluorescence Perfusion Assessment in Bowel Anastomosis: A Prospective, Systematic Dose-Ranging Study.Life (Basel, Switzerland) · 2024Article
- Correlation between Indocyanine Green Fluorescence Angiography and Laser Speckle Contrast Imaging in a Flap Model.Plastic and reconstructive surgery. Global open · 2023Article
- Indocyanine Green (ICG) and Colorectal Surgery: A Literature Review on Qualitative and Quantitative Methods of Usage.Medicina (Kaunas, Lithuania) · 2023Review
- Normalization of Time-Intensity Curves for Quantification of Foot Perfusion Using Near-Infrared Fluorescence Imaging With Indocyanine Green.Journal of endovascular therapy : an official journal of the International Society of Endovascular Specialists · 2023Article
- Anastomotic perfusion assessment with indocyanine green in robot-assisted low-anterior resection, a multicenter study of interobserver variation.Surgical endoscopy · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCompromised tissue perfusion is a significant risk factor for anastomotic leakage after intestinal resection, leading to prolonged hospitalization, risk of recurrence after oncologic resection, and reduced survival. Thus, a tool reducing the risk of leakage is highly warranted. Quantitative indocyanine green angiography (Q-ICG) is a new method that provides surgeons with an objective evaluation of tissue perfusion. In this systematic review, we aimed to determine the optimal methodology for performing Q-ICG.
methodA comprehensive search of the literature was performed following the PRISMA guidelines. The following databases were searched: PubMed, Embase, Scopus, and Cochrane. We included all clinical studies that performed Q-ICG to assess visceral perfusion during gastrointestinal surgery. Bias assessment was performed with the Newcastle Ottawa Scale.
resultsA total of 1216 studies were screened, and finally, 13 studies were included. The studies found that intensity parameters (maximum intensity and relative maximum intensity) could not identify patients with anastomotic leakage. In contrast, the inflow parameters (time-to-peak, slope, and t
conclusionThe results, while heterogenous, all seem to point in the same direction. Fluorescence intensity parameters are unstable and do not reflect clinical endpoints. Instead, inflow parameters are resilient in a clinical setting and superior at reflecting clinical endpoints.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.