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Updated: Jul 3, 2026

Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
Published on: August 28, 2018
Coronary plaque imaging with multislice computed tomography: technique and clinical applications
Filippo Cademartiri1, Ludovico La Grutta, Anselmo Alessandro Palumbo
1Department of Radiology, Erasmus Medical Center, 3015 GD-Rotterdam, The Netherlands. filippocademartiri@hotmail.com
Multislice computed tomography (MSCT) offers noninvasive imaging of coronary atherosclerotic plaques. While MSCT can assess plaque composition and burden, its accuracy is influenced by various imaging parameters, necessitating advanced techniques for vulnerable plaque detection.
Area of Science:
- Cardiovascular Imaging
- Radiology
- Atherosclerosis Research
Background:
- Atherosclerotic plaque composition is a key determinant of acute coronary events, surpassing stenosis degree.
- Historically, invasive methods were primary for reproducible plaque composition analysis.
- Emerging research highlights multislice computed tomography (MSCT) for noninvasive plaque imaging.
Purpose of the Study:
- To discuss the potential benefits of MSCT in coronary plaque imaging.
- To outline the limitations of MSCT in coronary plaque imaging.
- To explore MSCT's capability in detecting and characterizing coronary plaques noninvasively.
Main Methods:
- Utilizing multislice computed tomography (MSCT) for noninvasive imaging of coronary arteries.
- Characterizing plaque composition based on X-ray attenuation features.
- Assessing total plaque burden, including calcified and noncalcified components.
Main Results:
- MSCT can detect coronary plaques and characterize their composition.
- MSCT provides information on the total plaque burden in patients with coronary atherosclerosis.
- Image parameters like lumen attenuation, filtering, BMI, and CNR affect plaque composition analysis.
Conclusions:
- MSCT shows significant potential for noninvasive coronary plaque imaging and characterization.
- Accurate plaque composition analysis is influenced by several imaging parameters.
- Advanced scanners and software are needed for quantitative analysis and detection of vulnerable plaques.
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