Quantification of fluorescence angiography for visceral perfusion assessment: measuring agreement between two software algorithms.
David J NijssenJ J JoostenJ OsterkampR M van den ElzenD M de BruinM B S SvendsenM W DalsgaardS S GisbertzR HompesM P AchiamM I van Berge HenegouwenPublished in: Surgical endoscopy (2024)
This is the first study to demonstrate technical differences in software implementations that can lead to discrepancies in ICG-FA quantification in human clinical cases. The possible variation among software-based quantification methods should be considered when interpreting studies that report quantitative ICG-FA parameters and derived thresholds, as there may be a limited external validity.
Keyphrases
- fluorescence imaging
- endothelial cells
- data analysis
- machine learning
- optical coherence tomography
- computed tomography
- insulin resistance
- type diabetes
- high resolution
- deep learning
- adipose tissue
- magnetic resonance imaging
- single molecule
- induced pluripotent stem cells
- metabolic syndrome
- photodynamic therapy
- mass spectrometry
- skeletal muscle
- magnetic resonance
- contrast enhanced
- energy transfer