- Atherosclerosis evaluation by coronary computed tomography angiography (CCTA) is promising for coronary artery disease (CAD) risk stratification, but time consuming and requires high expertise. Artificial Intelligence (AI) applied to CCTA for comprehensive CAD assessment may overcome these limitations. We hypothesized AI aided analysis allows for rapid, accurate evaluation of vessel morphology and stenosis.
- The AHA recommends statins in patients with CACS>100 AU. However in patients with low CACS (1–99 AU), no clear statement is provided, leaving the clinician in a grey-zone. High-risk plaque (HRP) criteria by coronary CTA are novel imaging biomarkers indicating a higher a-priori cardiovascular (CV) risk, which could help for decision-making. Therefore the objective of our study was to identify which CV-risk factors predict HRP in patients with low CACS 1–99.
- The vision for the Journal of Cardiovascular Computed Tomography's social media efforts is to amplify the impact of the Journal while driving engagement, increasing journal visibility and disseminating content to new audiences globally. Serving as “the front door” to the Journal, this digital evolution represents an important step forward for a field in which advancements in hardware, image processing and clinical evidence have evolved rapidly. However, is social media the panem et circenses of cardiovascular computed tomography (CT), that of superficial appeasement, or of sine qua non; an essential ingredient to the acceleration of the Journal and of the field of cardiovascular CT? This paper aims to present the initial impact of social media within a dedicated cardiovascular CT journal.
- Different methodologies to report whole-heart atherosclerotic plaque on coronary computed tomography angiography (CCTA) have been utilized. We examined which of the three commonly used plaque burden definitions was least affected by differences in body surface area (BSA) and sex.
- We aimed to compare semiquantitative coronary computed tomography angiography (CCTA) risk scores – which score presence, extent, composition, stenosis and/or location of coronary artery disease (CAD) – and their prognostic value between patients with and without diabetes mellitus (DM). Risk scores derived from general chest-pain populations are often challenging to apply in DM patients, because of numerous confounders.
- To assess evaluability and diagnostic accuracy of a low dose CT angiography (CTA) protocol for carotid arteries using latest Iterative Reconstruction (IR) algorithm in comparison with standard 100 kVp protocol using previous generation CT and IR.
- Complex biological networks of atherosclerosis are largely unknown.