Search results for " coronary computed tomography"
showing 3 items of 3 documents
Appropriateness criteria for the use of cardiac computed tomography, SIC-SIRM part 2: Acute chest pain evaluation; Stent and coronary artery bypass g…
2022
In the past 20 years, cardiac computed tomography (CCT) has become a pivotal technique for the noninvasive diagnostic workup of coronary and cardiac diseases. Continuous technical and methodological improvements, combined with fast growing scientific evidence, have progressively expanded the clinical role of CCT. Randomized clinical trials documented the value of CCT in increasing the cost-effectiveness of the management of patients with acute chest pain presenting in the emergency department, also during the pandemic. Beyond the evaluation of stents and surgical graft patency, the anatomical and functional coronary imaging have the potential to guide treatment decision-making and planning …
A rare case of a coronary artery anomaly detected on multidetector computed tomography
2013
An anomalous aortic origin of the coronary artery arising from the opposite sinus with an interarterial course is a rare condition that is associated with a high risk of sudden cardiac death during or after strenuous exertion. We herein report the case of a 47-year-old woman presenting with chest pain, syncope and palpitations who presented with a rare coronary artery anomaly on multidetector computed tomography coronary artery (MDCT-CA) with prospective electrocardiogram (ECG) gating.
A semi-automatic approach for epicardial adipose tissue segmentation and quantification on cardiac CT scans
2019
Abstract Many studies have shown that epicardial fat is associated with a higher risk of heart diseases. Accurate epicardial adipose tissue quantification is still an open research issue. Considering that manual approaches are generally user-dependent and time-consuming, computer-assisted tools can considerably improve the result repeatability as well as reduce the time required for performing an accurate segmentation. Unfortunately, fully automatic strategies might not always identify the Region of Interest (ROI) correctly. Moreover, they could require user interaction for handling unexpected events. This paper proposes a semi-automatic method for Epicardial Fat Volume (EFV) segmentation a…