# CT-assessment of carotid plaque features and their impact on residual stenosis after stenting

**Authors:** Lu Li, Ting Ting Li, Qing Yuan Wang, Yu Meng Sun, Zhen Jia Wang, Su Nan Xu, Wei Yu

PMC · DOI: 10.3389/fneur.2026.1767502 · Frontiers in Neurology · 2026-03-04

## TL;DR

This study uses CT scans to identify plaque features in carotid arteries that predict residual stenosis after stenting, focusing on calcified plaque characteristics.

## Contribution

The study introduces a predictive model based on CT imaging features to identify risk factors for residual stenosis after carotid stenting.

## Key findings

- Calcified plaque volume percentage, circumferential calcium score, and maximum slice attenuation value are significant predictors of residual stenosis.
- A predictive model combining these features achieved an area under the ROC curve of 0.784.
- Creatinine levels were also identified as an independent risk factor for residual stenosis.

## Abstract

It is well established that calcified plaques are highly likely to lead to residual stenosis after stenting; however, the specific characteristics responsible for this effect remain unknown. This study aimed to identify both qualitative and quantitative imaging risk factors for residual stenosis using computed tomography angiography.

We retrospectively enrolled 233 patients with carotid artery stenosis. Patients were categorized into two groups based on the presence or absence of postoperative residual stenosis. Carotid computed tomography angiography evaluated plaque characteristics both qualitatively and quantitatively. Logistic regression analysis identified independent risk factors for residual stenosis. We evaluated the predictive model’s discriminative ability by calculating the area under the receiver operating characteristic (ROC) curve.

Univariate analysis indicated a statistical difference in age, creatinine, total plaque volume, percentage of total calcified plaque, percentage of total soft plaque, maximum slice attenuation value, maximum thickness, total length, and a circumferential calcification score ≥2 points (p < 0.05). Multivariable logistic regression identified creatinine (OR = 1. 020; 95%CI: 1.005–1.035; p = 0.010), maximum slice attenuation value(Z-score; OR = 1.627; 95%CI: 1.024–2.585; p = 0.039), percentage of calcified plaque volume(Z-score; OR = 1.872; 95%CI: 1.137–3.082; p = 0.014) and circumferential calcification score ≥2 (OR = 3.257; 95%CI: 1.620–6.548; p < 0.001) as independent factors associated with residual stenosis. Furthermore, receiver operating characteristic curve analysis revealed that the area under the curve for the combined model in diagnosing residual stenosis was 0.784.

In conclusion, preoperative CTA-based assessment of specific plaque characteristics, such as calcified plaque volume percentage, circumferential calcium score, and the maximum slice attenuation value of calcification are related to residual stenosis.

## Linked entities

- **Diseases:** carotid artery stenosis (MONDO:0001612)

## Full-text entities

- **Diseases:** stenosis (MESH:D003251), carotid artery stenosis (MESH:D016893), calcification (MESH:D002114)
- **Chemicals:** creatinine (MESH:D003404)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

27 references — full list in the complete paper: https://tomesphere.com/paper/PMC12995775/full.md

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Source: https://tomesphere.com/paper/PMC12995775