Development of machine learning models for fractional flow reserve prediction in angiographically intermediate coronary lesions.
Journal:
Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions
PMID:
39091119
Abstract
BACKGROUND: Fractional flow reserve (FFR) represents the gold standard in guiding the decision to proceed or not with coronary revascularization of angiographically intermediate coronary lesion (AICL). Optical coherence tomography (OCT) allows to carefully characterize coronary plaque morphology and lumen dimensions.
Authors
Keywords
Aged
Cardiac Catheterization
Coronary Angiography
Coronary Artery Disease
Coronary Stenosis
Coronary Vessels
Databases, Factual
Decision Support Techniques
Female
Fractional Flow Reserve, Myocardial
Humans
Male
Middle Aged
Plaque, Atherosclerotic
Predictive Value of Tests
Reproducibility of Results
Severity of Illness Index
Software
Supervised Machine Learning
Tomography, Optical Coherence