Background And Objective: We aimed to establish the diagnostic and prognostic usefulness of noninvasive coronary angiography using multidetector computer tomography (MDCT) in patients with clinical suspicion of coronary artery disease (CAD) and a non-diagnostic exercise treadmill test result.
Patients And Method: Retrospective analysis in 33 patients evaluating the incidence of revascularization and hospitalization due to myocardial infarction or angina, and death.
Results: There were obstructive lesions in 7 (21%), non-obstructive lesions in 18 (55%), absence of lesions in 6 (18%), and, finally, 2 patients (6%) had an MDCT deemed as non-evaluable. The follow-up was extended up to 21 (10) months. Events appeared in 5 (15%) patients: 4 myocardial revascularizations in the group with obstructive coronary stenosis, and 1 cardiovascular death in the group with non-obstructive coronary lesions. No events were recorded among those 6 patients without coronary lesions nor in those 2 with non-evaluable MDCT studies.
Conclusions: Patients with suspected CAD and a non-diagnostic exercise test present with a high prevalence of CAD when studied by MDCT and have a high incidence of cardiovascular events. The severity of stenosis as assessed by MDCT relates to cardiovascular events during the follow-up.
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http://dx.doi.org/10.1016/j.medcli.2008.06.028 | DOI Listing |
Insights Imaging
August 2024
Department of Radiology, Charité-Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany.
Aim: To determine the effectiveness of functional stress testing and computed tomography angiography (CTA) for diagnosis of obstructive coronary artery disease (CAD).
Methods And Results: Two-thousand nine-hundred twenty symptomatic stable chest pain patients were included in the international Collaborative Meta-Analysis of Cardiac CT consortium to compare CTA with exercise electrocardiography (exercise-ECG) and single-photon emission computed tomography (SPECT) for diagnosis of CAD defined as ≥ 50% diameter stenosis by invasive coronary angiography (ICA) as reference standard. Generalised linear mixed models were used for calculating the diagnostic accuracy of each diagnostic test including non-diagnostic results as dependent variables in a logistic regression model with random intercepts and slopes.
Coronary Artery Disease (CAD) is a global health concern, with diagnostic modalities and risk factors that exhibit regional variations. This study, conducted at the Islamabad Diagnostic Center, Pakistan, aimed to provide a comprehensive assessment of CAD prevalence, severity, and associated risk factors, while also evaluating the diagnostic accuracy of Computed Tomography Coronary Test (CTT) and Exercise Treadmill Test (ETT) in a cohort of 2909 patients. Among the patients assessed via CT Coronary scans, CAD was universally observed, presenting with varying degrees of severity.
View Article and Find Full Text PDFAm Heart J
May 2024
Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart and Chest Hospital, Liverpool, UK; Danish Center for Clinical Health Services Research, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark.
Background: Atrial fibrillation (AF) increases the risk of death, stroke, heart failure, cognitive decline, and healthcare costs but is often asymptomatic and undiagnosed. There is currently no national screening program for AF. The advent of validated hand-held devices allows AF to be detected in non-healthcare settings, enabling screening to be undertaken within the community.
View Article and Find Full Text PDFComput Methods Programs Biomed
October 2023
Medical School, Faculty of Health and Medical Sciences, University of Western Australia, Perth, Australia; Harry Perkins Institute of Medical Research, Perth, Australia; Cardiology Department, Fiona Stanley Hospital, Perth, Australia. Electronic address:
Background: Cardiac exercise stress testing (EST) offers a non-invasive way in the management of patients with suspected coronary artery disease (CAD). However, up to 30% EST results are either inconclusive or non-diagnostic, which results in significant resource wastage. Our aim was to build machine learning (ML) based models, using patients demographic (age, sex) and pre-test clinical information (reason for performing test, medications, blood pressure, heart rate, and resting electrocardiogram), capable of predicting EST results beforehand including those with inconclusive or non-diagnostic results.
View Article and Find Full Text PDFJ Cardiovasc Magn Reson
August 2022
Department of Medicine (Cardiovascular Division), Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave., Boston, MA, 02215, USA.
Background: Exercise cardiovascular magnetic resonance (Ex-CMR) is a promising stress imaging test for coronary artery disease (CAD). However, Ex-CMR requires accelerated imaging techniques that result in significant aliasing artifacts. Our goal was to develop and evaluate a free-breathing and electrocardiogram (ECG)-free real-time cine with deep learning (DL)-based radial acceleration for Ex-CMR.
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