Prediction of revascularization by coronary CT angiography using a machine learning ischemia risk score

ConclusionsML-IRS from quantitative coronary CT angiography improved the prediction of future revascularization and can potentially identify patients likely to receive revascularization if referred to cardiac catheterization.Key Points• Machine learning ischemia risk from quantitative coronary CT angiography was significantly higher in patients who received revascularization versus those who did not receive revascularization.• The machine learning ischemia risk score was significantly higher in patients with invasive fractional flow ≤ 0.8 versus those with> 0.8.• The machine learning ischemia risk score improved the prediction of future revascularization significantly when added to a standard prediction model including stenosis.
Source: European Radiology - Category: Radiology Source Type: research