Journal
BJS OPEN
Volume 5, Issue 2, Pages -Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bjsopen/zraa074
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Funding
- Stryker European Operations, Amsterdam, the Netherlands
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This systematic review identified methods to quantify intraoperative fluorescence angiography (FA) of the gastrointestinal anastomosis and potential thresholds to predict patient outcomes, highlighting time to fluorescence as the most promising category for quantitation. Future research should focus on fluorescence-time curves, while consensus on study set-up, calibration, and validation of software programs is crucial for data comparison.
Background: The aim of this systematic review was to identify all methods to quantify intraoperative fluorescence angiography (FA) of the gastrointestinal anastomosis, and to find potential thresholds to predict patient outcomes, including anastomotic leakage and necrosis. Methods: This systematic review adhered to the PRISMA guidelines. A PubMed and Embase literature search was performed. Articles were included when FA with indocyanine green was performed to assess gastrointestinal perfusion in human or animals, and the fluorescence signal was analysed using quantitative parameters. A parameter was defined as quantitative when a diagnostic numeral threshold for patient outcomes could potentially be produced. Results: Some 1317 articles were identified, of which 23 were included. Fourteen studies were done in patients and nine in animals. Eight studies applied FA during upper and 15 during lower gastrointestinal surgery. The quantitative parameters were divided into four categories: time to fluorescence (20 studies); contrast-to-background ratio (3); pixel intensity (2); and numeric classification score (2). The first category was subdivided into manually assessed time (7 studies) and software-derived fluorescence- time curves (13). Cut-off values were derived for manually assessed time (speed in gastric conduit wall) and derivatives of the fluorescence- time curves (F-max,T-1/2, TR and slope) to predict patient outcomes. Conclusion: Time to fluorescence seems the most promising category for quantitation of FA. Future research might focus on fluorescence- time curves, as many different parameters can be derived and the fluorescence intensity can be bypassed. However, consensus on study set-up, calibration of fluorescence imaging systems, and validation of software programs is mandatory to allow future data comparison.
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