Purpose: This study assessed the accuracy of computed tomography coronary angiography (CT-CA) for detecting significant coronary artery disease (CAD; ≥50% lumen reduction) in intermediate/high-risk asymptomatic patients.
Materials And Methods: A total of 183 consecutive asymptomatic individuals (92 men; mean age 54±11 years) with more than one major risk factor (obesity, hypertension, diabetes, hypercholesterolaemia, family history, smoking) and an inconclusive or nonfeasible noninvasive stress test result (stress electrocardiography, stress echocardiography, nuclear stress scintigraphy) underwent CT-CA in an outpatient setting. All patients underwent conventional coronary angiography (CAG) within 4 weeks. Data from CT-CA were compared with CAG regarding the presence of significant CAD (≥50% lumen reduction).
Results: Mean calcium score was 177±432, mean heart rate during the CT-CA scan was 58±8 bpm and the prevalence (per-patient) of obstructive CAD was 19%. CT-CA showed single-vessel CAD in 9% of patients, two-vessel CAD in 9% and three-vessel CAD in 0%. Per-patient sensitivity, specificity, positive predictive value and negative predictive value of CT-CA were 100% (90-100), 98% (96-99), 97% (85-99), 100% (97-100), respectively. Positive and negative likelihood ratios were 151 and 0, respectively.
Conclusions: CT-CA is an excellent noninvasive imaging modality for excluding significant CAD in intermediate/ high-risk asymptomatic patients with inconclusive or nonfeasible noninvasive stress test.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1007/s11547-011-0723-4 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
DCA-YOLOv8: A Novel Framework Combined with AICI Loss Function for Coronary Artery Stenosis Detection.
Sensors (Basel)
December 2024
School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China.
Coronary artery stenosis detection remains a challenging task due to the complex vascular structure, poor quality of imaging pictures, poor vessel contouring caused by breathing artifacts and stenotic lesions that often appear in a small region of the image. In order to improve the accuracy and efficiency of detection, a new deep-learning technique based on a coronary artery stenosis detection framework (DCA-YOLOv8) is proposed in this paper. The framework consists of a histogram equalization and canny edge detection preprocessing (HEC) enhancement module, a double coordinate attention (DCA) feature extraction module and an output module that combines a newly designed loss function, named adaptive inner-CIoU (AICI).
View Article and Find Full Text PDFEvaluation of Coronary Artery Calcium Score (CACS) in Dipper and Non-Dipper Hypertensive Patients with Moderate and High Cardiovascular Disease Risks.
Medicina (Kaunas)
December 2024
Department of Public Health, Faculty of Medicine, Ondokuz Mayis University, 55270 Samsun, Turkey.
: Hypertension is typically classified into two main groups, "dipper" and "non-dipper", based on nocturnal blood pressure decline. The coronary artery calcium score (CACS) is an essential biomarker used to assess the presence and severity of coronary artery disease (CAD). This study aims to demonstrate the relationship between CACS and hypertensive patients with moderate-to-high cardiovascular disease (CVD) risk classified as either dipper or non-dipper.
View Article and Find Full Text PDFCoronary Artery Disease and Severe Aortic Stenosis: Contemporary Treatment Options for Patients Undergoing Transcatheter Aortic Valve Implantation.
J Clin Med
December 2024
Department of Cardiology, Patras University Hospital, 26504 Patras, Greece.
Approximately 50% of individuals eligible for transcatheter aortic valve implantation (TAVI) have coronary artery disease (CAD). The influence of CAD, both its prevalence and severity, on post-TAVI clinical results has yielded conflicting findings. Recent research has shown positive results for the use of computed tomography angiography and functional percutaneous evaluation of coronary lesions in the pre-TAVI assessment, besides the classic coronary angiography.
View Article and Find Full Text PDFA Machine Learning-Based Decision Support System for the Prognostication of Neurological Outcomes in Successfully Resuscitated Out-of-Hospital Cardiac Arrest Patients.
J Clin Med
December 2024
Department of Emergency Medicine, Korea University Anam Hospital, Seoul 02841, Republic of Korea.
This study uses machine learning and multicenter registry data for analyzing the determinants of a favorable neurological outcome in patients with out-of-hospital cardiac arrest (OHCA) and developing decision support systems for various subgroups. The data came from the Korean Cardiac Arrest Research Consortium registry, with 2679 patients who underwent OHCA aged 18 or above with the return of spontaneous circulation (ROSC). The dependent variable was a favorable neurological outcome (Cerebral Performance Category score 1-2), and 68 independent variables were included, e.
View Article and Find Full Text PDFA STEMI Complicated by Cardiogenic Shock Due to Simultaneous Acute Thrombosis of Two Coronary Vessels in the 'Deadly Double Infarct Syndrome': A Case Report and Discussion of Literature.
J Clin Med
December 2024
Department of Biomedical and Clinical Sciences, University of Milan, 20122 Milan, Italy.
: ST-segment elevation myocardial infarction (STEMI) remains a leading cause of mortality worldwide, primarily caused by acute thrombosis over atherosclerotic plaques. Simultaneous acute thrombosis in two coronary arteries is an exceptionally rare event. This report highlights a unique case of STEMI associated with cardiogenic shock due to dual coronary artery thrombosis and provides insights from a literature review on this rare condition.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!