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Updated: Jun 25, 2026

Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
Published on: August 28, 2018
Volumetric evaluation of coronary plaque in patients presenting with acute myocardial infarction or stable angina
Sophia Hammer-Hansen1, Klaus Fuglsang Kofoed, Henning Kelbaek
1The Department of Cardiology, The Heart Center, Rigshospitalet, University of Copenhagen, Denmark.
Insights
Unstable coronary artery disease lesions show distinct features on multislice computed tomography (MSCT). These include lower signal intensity, more lipid-rich plaque, and positive remodeling in patients with non-ST-elevation myocardial infarction.
Area of Science:
- Cardiovascular Imaging
- Interventional Cardiology
- Radiology
Background:
- Unstable coronary artery disease (CAD) presentation may stem from specific culprit lesion characteristics.
- Multislice computed tomography (MSCT) offers potential for identifying these distinct lesion features.
Purpose of the Study:
- To investigate if unstable CAD, specifically non-ST-elevation myocardial infarction (NSTEMI), is associated with unique culprit lesion features identifiable by MSCT compared to stable angina (SA).
Main Methods:
- Sixty-four-slice MSCT and volumetric plaque imaging were used to analyze culprit lesions in NSTEMI (n=57) and SA (n=19) patients.
- Key metrics included plaque burden, mean signal intensity, plaque component distribution (lipid, fibrous, calcified), and remodeling index.
Main Results:
- Lesion plaque burden was similar between NSTEMI and SA groups.
- NSTEMI lesions exhibited lower mean signal intensity (74 HU vs 99 HU) and reduced calcified plaque volume (15 mm³ vs 42 mm³).
- Lipid-rich plaque was more frequent, and positive remodeling was observed in 19% of NSTEMI patients, unlike in SA patients.
Conclusions:
- MSCT-based volumetric analysis reveals that coronary culprit lesions in acute coronary syndrome are often characterized by low mean signal intensity, a lipid-rich composition, and positive remodeling.
- These findings highlight distinct imaging biomarkers for unstable CAD culprit lesions.
Background:
We hypothesized that unstable clinical presentation of coronary artery disease is associated with distinct characteristics of culprit lesions identifiable by multislice computed tomography (MSCT).
Methods:
Patients with non-ST-elevation myocardial infarction (NSTEMI) (n = 57) or stable angina (SA) pectoris (n = 19) were studied. Coronary culprit lesions in patients with NSTEMI and symptomatic lesions in patients with SA were evaluated with 64-slice MSCT and a volumetric plaque imaging tool. Plaque volumes of lipid, fibrous tissue, or calcification according to signal intensity were determined. Plaque burden, mean signal intensity of the lesions, relative volumetric distribution of plaque components, and remodeling index were measured.
Results:
Volumetric plaque burden of study lesions were similar in the 2 patient groups (P = .38). Mean signal intensity of study lesions were lower in patients with NSTEMI compared with patients with SA (74 [66-97] Hounsfield units vs 99 [77-154] Hounsfield units, P = .02). The volume of plaque occupied by calcified material was lower in patients with NSTEMI compared with patients with SA (15 mm(3) [3-58 mm(3)] vs 42 mm(3) [18-82 mm(3)], P = .045). In patients with NSTEMI, the lipid-rich plaque subtype was more frequent than in patients with SA, and the calcified plaque subtype was less frequent in patients with NSTEMI than in patients with SA (P = .032). Positive remodeling was observed in 19% of patients with NSTEMI, whereas this was absent in patients with SA (P = .04).
Conclusion:
Volumetric measurements with MSCT revealed that coronary culprit lesions in acute coronary syndrome frequently display low mean plaque signal intensity values, lipid-rich plaque subtype, and positive remodeling.
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