Mulitmedia Library
The effect of patient and imaging characteristics on coronary CT angiography assessed pericoronary adipose tissue attenuation and gradient
Coronary CT angiography (CCTA) pericoronary adipose tissue (PCAT) markers are promising indicators of inflammation.Perivascular fat attenuation for predicting adverse cardiac events in stable patients undergoing invasive coronary angiography
Inflammation surrounding the coronary arteries can be non-invasively assessed using pericoronary adipose tissue attenuation (PCAT). While PCAT holds promise for further risk stratification of patients with low coronary artery disease (CAD) prevalence, its value in higher risk populations remains unknown.Increased coronary pericoronary adipose tissue attenuation in diabetic patients compared to non-diabetic controls: A propensity score matching analysis
Pericoronary adipose tissue (PCAT) attenuation is an indicator of active inflammation of perivascular adipose tissue, which is supposed to increase in diabetic patients. We aimed to investigate the PCAT attenuation values and high-risk plaque (HRP) features in diabetic and non-diabetic subjects with different stenotic extents.Cumulative exposure amount of PM2.5 in the ambient air is associated with coronary atherosclerosis - Serial coronary CT angiography study
TOC SUMMARY: It is unclear how air pollution contributes to the development of cardiovascular disease. We investigated the change of coronary atherosclerosis using serial CCTAs in relation to the cumulative amount of PM2.5 exposure between the two CCTAs in 3,127 healthy adults. Coronary calcification progressed in 1,361 (43.5%) subjects with a positive relationship between the cumulative amount of PM2.5 exposure and CACS. The cumulative amount of PM2.5 exposure, rather than the average concentration of PM2.5, was independently associated with progression of coronary calcification and diffuse development of de novo calcified plaques, with its impact higher than any other traditional cardiovascular risk factors.Right ventricular dysfunction by computed tomography associates with outcomes in severe aortic stenosis patients undergoing transcatheter aortic valve replacement
TOC summary: This study evaluated the presence of right ventricular dysfunction (RVD) by functional cardiac computed tomography angiography (CCTA) in 502 patients undergoing routine evaluation for transcatheter aortic valve replacement. CCTA-RVD was defined as right ventricular ejection fraction <50%, and was tested for its prognostic value beyond conventional risk factors and echocardiography. In our study, 25% of patients have RVD on CT that was not present on 2D echocardiography. CT-RVD provides independent prognostic value that is incremental to conventional clinical and echocardiographic characteristics, and therefore should be considered in routine risk stratification of patients with severe AS.CT assessment of the left atrial appendage post-transcatheter occlusion – A systematic review and meta analysis
Transesophageal echocardiography (TEE) is the standard imaging modality used to assess the left atrial appendage (LAA) after transcatheter device occlusion. Cardiac computed tomography angiography (CCTA) offers an alternative non-invasive modality in these patients. We aimed to conduct a comparison of the two modalities.Predictive value of the coronary artery calcium score and advanced plaque characteristics: Post hoc analysis of the PREDICT registry
Whether coronary plaque characteristics assessed in coronary computed tomography angiography (CCTA) in association with the coronary artery calcium score (CACS) have predictive value for coronary events is unclear. We aimed to examine the predictive value of the CACS and plaque characteristics for the occurrence of coronary events.Validation of deep-learning image reconstruction for coronary computed tomography angiography: Impact on noise, image quality and diagnostic accuracy
The present study evaluated the impact of deep-learning image reconstruction (DLIR) on noise, image quality, and diagnostic accuracy. In 43 patients who underwent clinically indicated coronary CT angiography and invasive coronary angiography, image quality was improved by up to 62% at similar noise levels. In addition, DLIR-H yielded the highest noise reduction (up to 43%) and best image quality (improvement of up to 138%). More importantly, sensitivity (92% vs. 88%), specificity (73% vs. 73%) and diagnostic accuracy (82% vs. 80%) of DLIR were at least non-inferior to ASiR-V.A novel density-volume calcium score by non-contrast CT predicts coronary plaque burden on coronary CT angiography: Results from the MACS (Multicenter AIDS cohort study)
The purpose of this study is to determine if a new score calculated with coronary artery calcium (CAC) density and volume is associated with total coronary artery plaque burden and composition on coronary CT angiography (CCTA) compared to the Agatston score (AS).Artificial intelligence machine learning-based coronary CT fractional flow reserve (CT-FFRML): Impact of iterative and filtered back projection reconstruction techniques
The influence of computed tomography (CT) reconstruction algorithms on the performance of machine-learning-based CT-derived fractional flow reserve (CT-FFRML) has not been investigated. CT-FFRML values and processing time of two reconstruction algorithms were compared using an on-site workstation.Diagnosis of functional ischemia in a right coronary artery with anomalous aortic origin
Anomalous aortic origin of coronary artery (AAOCA) is rare but critical for the association with sudden cardiac death. In detecting the origin of AAOCA, coronary CT angiography is more accurate than invasive coronary angiography, but only with anatomical evaluation. A novel technology FFRCT, which is noninvasively computed by coronary CT image, can evaluate functional ischemia of coronary artery even without atherosclerotic plaque and has potential for innovation in AAOCA.
