Machine learning –based coronary artery calcium score predicted from clinical variables as a prognostic indicator in patients referred for invasive coronary angiography

ConclusionML-CAC score predicted from clinical variables can serve as a novel prognostic indicator in patients referred for invasive coronary angiography.Clinical relevance statementIn patients referred for invasive coronary angiography who have not undergone preoperative CT-measured coronary artery calcium scoring, machine learning –based coronary artery calcium score assessment can serve as an alternative for predicting the prognosis.Key Points• The coronary artery calcium (CAC) score, a solid prognostic indicator, can be predicted using non-CT methods.• We developed a machine learning (ML)-CAC model utilising nine clinical variables to predict severe coronary calcification.• The ML-CAC system offers significant prognostic value in patients referred for invasive coronary angiography.
Source: European Radiology - Category: Radiology Source Type: research