Automated Plaque Detection and Agatston Score Estimation on Non-Contrast CT Scans: A Multicenter Study

arXiv:2402.09569v1 Announce Type: new
Abstract: Coronary artery calcification (CAC) is a strong and independent predictor of cardiovascular disease (CVD). However, manual assessment of CAC often requires radiological expertise, time, and invasive imaging techniques. The purpose of this multicenter study is to validate an automated cardiac plaque detection model using a 3D multiclass nnU-Net for gated and non-gated non-contrast chest CT volumes. CT scans were performed at three tertiary care hospitals and collected as three datasets, respectively. Heart, aorta, and lung …

abstract arxiv assessment automated cac contrast cs.cv detection disease expertise imaging independent scans study type