Plaque-RADS and Neovascularization for Risk Stratification of Carotid Stenosis: A Bimodal Imaging Study

医学 新生血管 危险分层 放射科 颈动脉 风险因素 医学影像学 核医学 风险评估 分层(种子) 磁共振成像 血管疾病 梅德林 心脏病学 中枢神经系统疾病 内科学
作者
Huan Zhu,Qihang Zhang,Tong Liu,Tong Chen,Chenyu Zhu,Tongyu Yang,Wenjie Li,Peijiong Wang,Tao Yu,XingJu Liu,Qian Zhang,Jizong Zhao,Yan Zhang
出处
期刊:American Journal of Neuroradiology [American Society of Neuroradiology]
卷期号:: ajnr.A9227-ajnr.A9227
标识
DOI:10.3174/ajnr.a9227
摘要

BACKGROUND AND PURPOSE: The Carotid Plaque-RADS (Reporting and Data System) score is a comprehensive imaging-based framework for assessing carotid plaque vulnerability. Intraplaque neovascularization (IPN) is closely linked to atherosclerotic plaque progression. However, the interrelationship between Plaque-RADS and IPN, and their respective roles in patients with symptomatic carotid stenosis, remain incompletely understood. MATERIALS AND METHODS: We retrospectively enrolled 128 patients with unilateral carotid artery stenosis who underwent carotid magnetic resonance vessel wall imaging and contrast-enhanced ultrasound for integrated plaque characterization. Logistic regression was used to construct predictive models. Model performance was evaluated via the area under the receiver operating characteristic curve (AUC) with DeLong test for comparisons; net reclassification improvement (NRI) and integrated discrimination improvement (IDI) were calculated to assess incremental predictive value. RESULTS: Patients with symptomatic stenosis had significantly higher Plaque-RADS scores (P = 0.001), IPN grades (P = 0.002), and plaque volumes (P = 0.011) than those with remote symptomatic stenosis or asymptomatic stenosis. Both Plaque-RADS score and IPN grade showed significant inverse correlations with duration since symptom onset (Plaque-RADS: ρ = -0.296, P = 0.003; IPN: ρ = -0.282, P = 0.001). Five predictive models were constructed: three single-indicator models (Plaque-RADS only, IPN only, and plaque volume only), a combined model (Plaque-RADS and IPN), and a comprehensive model incorporating Plaque-RADS, IPN, and plaque volume. The combined model achieved an AUC of 0.751 (95% CI: 0.661-0.841), significantly outperforming single-indicator models (plaque volume: 0.688, P=0.038; IPN only: 0.684, P=0.042; Plaque-RADS only: 0.644, P=0.021) but comparable to the comprehensive model (0.770; P=0.247). The NRI and IDI of the combined model showed significant incremental value over single-indicator models (all P<0.05) but no significant improvement compared with the comprehensive model (both P=0.218). CONCLUSIONS: Plaque-RADS and IPN grade are independent and complementary imaging biomarkers for identifying recent cerebrovascular events.
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