Machine learning-based coronary artery calcium score predicted from clinical variables as a prognostic indicator in patients referred for invasive coronary angiography.
Wen JianZhujun DongXueqian ShenZe ZhengZheng WuYuchen ShiYingchun HanJie DuJinghua LiuPublished in: European radiology (2024)
• 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.
Keyphrases
- coronary artery
- machine learning
- end stage renal disease
- chronic kidney disease
- newly diagnosed
- ejection fraction
- pulmonary artery
- peritoneal dialysis
- coronary artery disease
- prognostic factors
- artificial intelligence
- early onset
- left ventricular
- pulmonary hypertension
- big data
- image quality
- positron emission tomography
- transcatheter aortic valve replacement