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Updated: May 1, 2026

Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
Published on: August 28, 2018
A CT-based Medina classification in coronary bifurcations: does the lumen assessment provide sufficient information?
Stella-Lida Papadopoulou1, Chrysafios Girasis, Frank J Gijsen
1Department of Cardiology, Thoraxcenter, Erasmus MC, 3000 CA, Rotterdam, The Netherlands; Department of Radiology, Erasmus MC, 3000 CA, Rotterdam, The Netherlands.
Insights
Atherosclerosis is common in coronary artery bifurcations, even without stenosis. A new CT-Medina classification improves lesion characterization compared to the traditional Medina classification.
Area of Science:
- Cardiovascular Imaging
- Interventional Cardiology
- Atherosclerosis Research
Background:
- Coronary artery bifurcations are complex anatomical sites prone to atherosclerosis.
- Traditional classifications may not fully capture the extent of plaque burden at bifurcations.
Purpose of the Study:
- To assess the distribution of atherosclerosis in coronary artery bifurcations using computed tomography coronary angiography (CTCA).
- To introduce and validate a novel CT-Medina classification for bifurcation lesions.
Main Methods:
- 39 bifurcations in 26 patients were analyzed using CTCA.
- Plaque burden and distribution were assessed, considering wall shear stress (WSS) patterns.
- Lesions were classified using the Medina system and a new CT-Medina system (plaque burden ≥70%).
Main Results:
- Severe plaque (≥70% burden) was found in proximal, distal, and side branch segments.
- Thickest plaque often occurred in low WSS areas; flow dividers were less affected.
- The CT-Medina classification provided additional information in 18% of cases compared to the Medina classification.
Conclusions:
- Atherosclerotic plaque is prevalent in all bifurcation segments, irrespective of lumen stenosis.
- The CT-Medina classification offers a more comprehensive assessment of bifurcation lesions.
- This novel classification may aid in treatment decisions for coronary bifurcation lesions.
Aims:
To evaluate the distribution of atherosclerosis at bifurcations with computed tomography coronary angiography (CTCA) and propose a novel CT-Medina classification for bifurcation lesions.
Methods:
In 26 patients (age 55 ± 10 years, 81% male) imaged with CTCA, 39 bifurcations were studied. The bifurcations analysis included the proximal main vessel, the distal main vessel and the side branch (SB). Plaque contours were manually traced on CTCA; the lumen, vessel and plaque area were measured, as well as plaque burden (%). The carina cross-sections were divided into four equal parts according to the expected wall shear stress (WSS) to assess circumferential plaque distribution. All the bifurcation lesions were classified using the Medina classification and a novel CT-Medina classification combining lumen narrowing and plaque burden ≥70%.
Results:
Presence of severe plaque (plaque burden ≥70%) by CTCA was demonstrated in 12.8% (5/39) of the proximal segments, 15.4% (6/39) of the distal segments and 7.7% (3/39) of the SB segments. The thickest plaque was located more often in low WSS parts of the carina cross-sections, whereas the flow divider was rarely affected. Although in the majority of bifurcations plaque was present, based on the Medina classification 92% of the assessed bifurcations were identified as 0,0,0. Characterization of bifurcation lesions using the new CT-Medina classification provided additional information in seven cases (18%) compared to the Medina classification
Conclusion:
Atherosclerotic plaque is widely present in all bifurcation segments, even in the absence of coronary lumen stenosis. A CT-Medina classification combining lumen and plaque parameters is more informative than angiographic classification of bifurcation lesions and could potentially facilitate the decision-making on the treatment of these lesions.
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