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Updated: Jun 27, 2025

Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
Published on: August 28, 2018
Quantitative coronary computed tomography assessment for differentiating between total occlusions and severe
Shinichiro Masuda1, Pruthvi C Revaiah1, Shigetaka Kageyama1
1Department of Cardiology, University of Galway, Galway, Ireland.
Quantitative coronary computed tomography angiography (CCTA) analysis shows lesion length is key to differentiating total occlusions (TOs) from severe stenoses. A lesion length greater than 5.5 mm independently predicts TOs, aiding diagnosis in coronary artery disease.
Area of Science:
- Cardiovascular Imaging
- Interventional Cardiology
- Medical Diagnostics
Background:
- Differentiating total occlusions (TOs) from severe stenoses in coronary arteries using coronary computed tomography angiography (CCTA) is crucial but challenging.
- The role of quantitative assessment in CCTA for distinguishing TOs from severe stenoses requires further investigation.
Purpose of the Study:
- To determine if quantitative CCTA characteristics can differentiate TOs from severe stenoses as confirmed by invasive coronary angiography (ICA).
Main Methods:
- A sub-analysis of the FASTTRACK CABG trial (NCT04142021) involving patients with both CCTA and ICA.
- Semi-automated CCTA plaque-analysis software was used for quantitative analysis.
- Blinded analysts compared TOs on CCTA with corresponding ICA findings.
Main Results:
- Eighty-four TOs were identified in 59 patients; concordance between ICA and CCTA for TO diagnosis was 56.0%.
- TOs exhibited significantly longer lesion length (25.1 mm vs. 9.4 mm) and higher dense calcium percentage atheroma volume compared to severe stenoses.
- A lesion length >5.5 mm (AUC 0.77) was the optimal cutoff for differentiating TOs from severe stenoses, showing 91.1% sensitivity and 61.1% specificity.
Conclusions:
- Quantitative CCTA analysis, specifically lesion length, is a valuable tool for differentiating TOs from severe stenoses.
- A lesion length exceeding 5.5 mm emerged as the sole independent predictor for identifying TOs on CCTA.
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