Purpose: Thoracic computed tomography (CT) scans provide information about
cardiovascular risk status. These scans are non‐ECG synchronized, thus precise …

Objective To determine the agreement and reliability of fully automated coronary artery
calcium (CAC) scoring in a lung cancer screening population. Materials and Methods 1793 …

Background The presence of calcified atherosclerosis in different vascular beds has been
associated with a higher risk of mortality. Thoracic aorta calcium (TAC) can be assessed …

Background The aim of this study was to investigate the reliability and accuracy of automatic
coronary artery calcium (CAC) scoring and risk classification in non-gated, non-contrast …

RATIONALE AND OBJECTIVES: Automated detection and quantification of arterial
calcifications can facilitate epidemiologic research and, eventually, the use of full-body …

Coronary artery calcification (CAC) measurement from low-dose CT images can be used to
assess the risk of coronary artery disease. A fully automatic algorithm to detect and measure …

Purpose: The amount of coronary artery calcification (CAC) is a strong and independent
predictor of cardiovascular disease (CVD) events. In clinical practice, CAC is manually …

Background Although several deep learning (DL) calcium scoring methods have achieved
excellent performance for specific CT protocols, their performance in a range of CT …

Low-dose computed tomography (LDCT) has been extensively validated for lung cancer
screening in selected patient populations. Additionally, the use of gated cardiac CT to …

Objectives To evaluate the risk category performance of artificial intelligence-based
coronary artery calcium score (AI-CACS) software used in non-gated chest computed …