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J Med Imaging Radiat Oncol
December 2024
Fiona Stanley Hospital, Perth, Western Australia, Australia.
Coronary computed tomography angiography (CCTA) is a well-established and reliable non-invasive imaging modality that provides a comprehensive assessment of coronary artery anatomy and luminal stenosis due to atherosclerosis. Owing to advances in CCTA software and technology, the composition and morphology of coronary plaque can be accurately evaluated. Adverse features which identify plaque as being high-risk or 'vulnerable' can provide a personalised cardiovascular risk assessment over and above stenosis severity.
View Article and Find Full Text PDFAm J Vet Res
December 2024
AniCura Clinica Veterinaria Dell'Orologio, Sasso Marconi, Bologna, Italy.
Objective: The aim of this study was to evaluate the CT features of pulmonary metastases in dogs with hemangiosarcoma (HSA) at various sites. Additionally, the CT characteristics of extrapulmonary metastases in the same population were assessed.
Methods: Retrospective, observational, and descriptive study conducted from April 2013 to January 2024.
Rev Cardiovasc Med
February 2024
Department of Radiology, Central Hospital of Dalian University of Technology, 116033 Dalian, Liaoning, China.
Most acute coronary syndromes are due to a sudden luminal embolism caused by the rupturing or erosion of atherosclerotic plaques. Prevention and treatment of plaque development have become an effective strategy to reduce mortality and morbidity from coronary heart disease. It is now generally accepted that plaques with thin-cap fibroatheroma (TCFA) are precursors to rupturing and that larger plaques and high-risk plaque features (including low-attenuation plaque, positive remodeling, napkin-ring sign, and spotty calcification) constitute unstable plaque morphologies.
View Article and Find Full Text PDFInt J Cardiovasc Imaging
August 2024
Department of Radiology, The First Affiliated Hospital of Ningbo University, Ningbo, 315000, Zhejiang, China.
This study investigated the association of anatomic and hemodynamic plaque characteristics based on deep learning coronary computed tomography angiography (CCTA) with high-risk plaques that caused subsequent major adverse cardiovascular events (MACE). A retrospective analysis was conducted on patients who underwent CCTA between 1 month and 3 years prior to the occurrence of a MACE. Deep learning and computational fluid dynamics algorithms based on CCTA were applied to extract adverse plaque characteristics (low-attenuation plaque, positive remodeling, napkin-ring sign, and spotty calcification), and hemodynamic parameters (fractional flow reserve derived by coronary computed tomographic angiography [FFR], change in FFR across the lesion [△FFR], wall shear stress [WSS], and axial plaque stress [APS]).
View Article and Find Full Text PDFBackground: It was recently reported that thin-cap fibroatheroma (TCFA) detected by optical coherence tomography was an independent predictor of future cardiac events in patients with diabetes. However, the clinical usefulness of this finding is limited by the invasive nature of optical coherence tomography. Computed tomography angiography (CTA) characteristics of TCFA have not been systematically studied.
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