ArticleSurgical endoscopy2019
Discrimination between arterial and venous bowel ischemia by computer-assisted analysis of the fluorescent signal.
Article in Surgical endoscopy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 17 papers, 2 of them syntheses that pooled it.
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Who cites it
17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 29 citations in OpenAlex.
- Defining indocyanine green fluorescence to assess anastomotic perfusion during gastrointestinal surgery: systematic review.BJS open · 2021Pooled it
- Optimizing quantitative fluorescence angiography for visceral perfusion assessment.Surgical endoscopy · 2020Pooled it
- Computer-assisted quantification and visualization of bowel perfusion using fluorescence-based enhanced reality in left-sided colonic resections.Surgical endoscopy · 2021Trial
- Real-time quantification of bowel perfusion using Laparoscopic Laser Speckle Contrast Imaging (LSCI) in a porcine model.BMC surgery · 2023Article
- Indocyanine Green (ICG) and Colorectal Surgery: A Literature Review on Qualitative and Quantitative Methods of Usage.Medicina (Kaunas, Lithuania) · 2023Review
- Comprehensive Approach to Assessment of Liver Viability During Normothermic Machine Perfusion.Journal of clinical and translational hepatology · 2023Review
- Real-time quantification of intestinal perfusion and arterial versus venous occlusion using laser speckle contrast imaging in porcine model.Langenbeck's archives of surgery · 2023Article
- Quantification of bowel ischaemia using real-time multispectral Single Snapshot Imaging of Optical Properties (SSOP).Surgical endoscopy · 2023Article
- Evaluation of inter-user variability in indocyanine green fluorescence angiography to assess gastric conduit perfusion in esophageal cancer surgery.Diseases of the esophagus : official journal of the International Society for Diseases of the Esophagus · 2022Article
- Artificial Intelligence in Colorectal Cancer Surgery: Present and Future Perspectives.Cancers · 2022Review
- Inter-user variation in the interpretation of near infrared perfusion imaging using indocyanine green in colorectal surgery.Surgical endoscopy · 2021Article
- Intraoperative Guidance Using Hyperspectral Imaging: A Review for Surgeons.Diagnostics (Basel, Switzerland) · 2021Review
- Quantification of fluorescence angiography: Toward a reliable intraoperative assessment of tissue perfusion - A narrative review.Langenbeck's archives of surgery · 2021Review
- Simultaneous computer-assisted assessment of mucosal and serosal perfusion in a model of segmental colonic ischemia.Surgical endoscopy · 2020Article
- Article
- Fluorescence-enabled assessment of adrenal gland localization and perfusion in posterior retroperitoneoscopic adrenal surgery in a preclinical model.Surgical endoscopy · 2020Article
- Laser speckle contrast imaging and quantitative fluorescence angiography for perfusion assessment.Langenbeck's archives of surgery · 2019Article
Corrections and comments
- Erratum issued
Authors and funding
12 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundArterial blood supply deficiency and venous congestion both play a role in anastomotic complications. Our aim was to evaluate a software-based analysis of the fluorescence signal to recognize the patterns of bowel ischemia.
methodsIn 18 pigs, two clips were applied on the inferior mesenteric artery (group A: n = 6) or vein (group V: n = 6) or on both (group A-V: n = 6). Three regions of interest (ROIs) were identified on the sigmoid: P = proximal to the first clip; C = central, between the two clips; and D = distal to the second clip. Indocyanine Green was injected intravenously. The fluorescence signal was captured by means of a near-infrared laparoscope. The time-to-peak (seconds) and the maximum fluorescence intensity were recorded using software. A normalized fluorescence intensity unit (NFIU: 0-to-1) was attributed, using a reference card. The NFIU's over-time variations were computed every 10 min for 50 min. Capillary lactates were measured on the sigmoid at the 3 ROIs. Various machine learning algorithms were applied for ischemia patterns recognition.
resultsThe time-to-peak at the ischemic ROI C was significantly longer in group A versus V (20.1 ± 13 vs. 8.43 ± 3.7; p = 0.04) and in group A-V versus V (20.71 ± 11.6 vs. 8.43 ± 3.7; p = 0.03). The maximal NIFU at ROI C, was higher in the V group (1.01 ± 0.21) when compared to A (0.61 ± 0.11; p = 0.002) and A-V (0.41 ± 0.2; p = 0.0005). Capillary lactates at ROI C were lower in V (1.3 ± 0.6) than in A (1.9 ± 0.5; p = 0.0071), and A-V (2.6 ± 1.5; p = 0.034). The K nearest neighbor and the Linear SVM algorithms provided both an accuracy of 75% in discriminating between A versus V and 85% in discriminating A versus A-V. The accuracy dropped to 70% when the ML had to identify the ROI and the type of ischemia simultaneously.
conclusionsThe computer-assisted dynamic analysis of the fluorescence signal enables the discrimination between different bowel ischemia models.
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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.