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Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
Published on: August 28, 2018
Imaging of calcified coronary arteries with multislice computed tomography
Thomas Wittlinger1, Ivo Martinovic, Rainer Moosdorf
1Department of Thoracic and Cardiovascular Surgery, University Hospital, Theodor-Stern Kai 7, 60590 Frankfurt/Main, Germany. thomaswittlinger@t-online.de
Insights
Multislice computed tomography offers reliable noninvasive detection of coronary artery disease. However, its accuracy in assessing stenosis severity is influenced by vascular calcification, particularly with high calcium scores.
Area of Science:
- Cardiology
- Radiology
- Medical Imaging
Background:
- Noninvasive detection of coronary artery disease (CAD) is crucial in clinical cardiology.
- Accurate assessment of coronary artery stenosis is essential for patient management.
Purpose of the Study:
- To evaluate the accuracy of multislice computed tomography (MSCT) in detecting coronary artery disease.
- To assess the correlation between MSCT findings and coronary calcium scores.
Main Methods:
- Fifty patients with suspected or known coronary artery disease underwent MSCT and conventional coronary angiography.
- Coronary calcium scoring was performed, and patients were grouped based on scores.
- MSCT visualization rates and diagnostic performance for stenoses >50% or occlusion were analyzed.
Main Results:
- MSCT visualized 89% of coronary segments.
- Sensitivity and specificity for detecting stenoses >50% or occlusion were 47%-92%.
- Underestimation of stenosis by MSCT occurred in 40 segments, predominantly in patients with calcium scores >400.
Conclusions:
- MSCT provides high diagnostic accuracy for noninvasive angiographic evaluation of coronary artery disease.
- The accuracy of MSCT is significantly affected by the degree of vascular calcification.
- MSCT shows promise for noninvasive risk assessment in patients with suspected or known CAD, especially when considering calcium scores.
Abstract:
Reliable noninvasive detection of coronary artery disease is a prime goal in clinical cardiology. The aim of this study was to investigate the accuracy of multislice computed tomography in detecting coronary artery disease in correlation to the calcium score. Fifty patients with 61 stenoses > 50% and 41 occlusions underwent multislice computed tomography and conventional coronary angiography. Calcium scoring was calculated for the total coronary artery territory and patients were divided into 3 groups based on this score. Multislice computed tomography visualized 89% (365/500) of all coronary segments. The sensitivity and specificity for detection of stenoses > 50% or occlusion was 47%-92%, and 97%-100% for the calcium score. Forty of 500 segments were underestimated by multislice computed tomography, of which 39 were in the group with a calcium score > 400. Multislice computed tomography allows noninvasive angiographic evaluation of coronary artery disease with high diagnostic accuracy. However, the method strongly depends on the degree of vascular calcification and underestimates the degree of stenosis according to the calcium score. This new technology holds promise for noninvasive risk assessment in patients with known or suspected coronary artery disease.
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