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Updated: Aug 8, 2026

Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
Published on: August 28, 2018
Assessment of coronary plaque morphology by contrast-enhanced computed tomographic angiography: comparison with
Margaret Leila Rasouli1, David M Shavelle, William J French
1Division of Cardiology, Department of Medicine, Los Angeles BioMedical Research Institute at Harbor-UCLA Medical Center, Torrance, California, USA.
Insights
Computed tomographic (CT) angiography accurately identifies coronary artery plaque. This noninvasive imaging technique reliably determines plaque composition, aiding in clinical trials for plaque-modifying therapies.
Area of Science:
- Cardiovascular Imaging
- Radiology
- Medical Diagnostics
Background:
- Computed tomographic (CT) angiography is established for noninvasive coronary artery stenosis assessment.
- The capability of CT angiography in characterizing plaque morphology requires further elucidation.
Purpose of the Study:
- To evaluate the accuracy of CT angiography in determining coronary artery plaque morphology.
- To compare CT angiography findings with intravascular ultrasound (IVUS) for plaque characterization.
Main Methods:
- Twelve patients with clinical indications for IVUS underwent CT angiography.
- Plaque morphology was classified (soft, fibrous, fibrocalcific, calcific) and compared between CT angiography and IVUS.
- CT angiography data were analyzed for plaque presence and morphology, blindly compared to IVUS segment-by-segment.
Main Results:
- CT angiography demonstrated 100% sensitivity and 90% specificity for detecting any plaque.
- For classifying calcified versus noncalcified plaque, CT angiography achieved 100% sensitivity and 94% specificity.
- Overall accuracy for CT angiography in determining plaque morphology was 92%, with significant differences in CT density values across plaque types (P<0.0001).
Conclusions:
- CT angiography accurately characterizes coronary artery plaque morphology.
- CT angiography shows promise as a noninvasive tool for evaluating plaque morphology, particularly in therapeutic drug trials.
Background:
Computed tomographic (CT) angiography provides accurate noninvasive assessment for coronary artery stenosis. The ability of CT angiography to determine plaque morphology remains unclear.
Methods:
Twelve patients undergoing intravascular ultrasound for clinical indications underwent CT angiography for the evaluation of plaque morphology. Plaque morphology was classified as (1) soft, (2) fibrous, (3) fibrocalcific or (4) calcific. CT angiography data sets were evaluated for the presence and morphology of plaque in the coronary artery segments. The results were blindly compared with intravascular ultrasound results on a segment by segment basis using angiographic landmarks.
Results:
Fifty-nine coronary segments were analyzed; 10 segments were normal and 49 contained plaque. Plaque morphology by intravascular ultrasound was soft in 12 segments, fibrous in four, fibrocalcific in 29 and calcific in four. To determine coronary segments with any plaque, CT angiography had a sensitivity of 100% (49 of 49) and specificity of 90% (9 of 10). To determine plaque morphology as calcified (fibrocalcific and calcific) versus noncalcified (soft and fibrous), CT angiography had a sensitivity of 100% (33 of 33) and a specificity of 94% (15 of 16). Overall accuracy for CT angiography to determine plaque morphology was 92% (54 of 59). CT angiography density values (Hounsfield units, mean+/-standard deviation) were significantly different for each plaque morphology: soft 23+/-71, fibrous 108+/-79, fibrocalcific 299+/-112 and calcific 404+/-264 (P<0.0001).
Conclusions:
CT angiography accurately characterized plaque morphology and may be a useful tool in noninvasive evaluation of plaque morphology during drug therapy trials.
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