Key result
Plaque-RADS and intraplaque neovascularization grade independently identify recent cerebrovascular events in carotid stenosis.
Why the study?
The interrelationship between Carotid Plaque-RADS and intraplaque neovascularization, and their roles in symptomatic carotid stenosis, remain incompletely understood.
Does a combined imaging model using Plaque-RADS and intraplaque neovascularization improve the identification of recent cerebrovascular events in patients with unilateral carotid artery stenosis compared to single imaging indicators?
Observational (n=128)
Does a combined imaging model using Plaque-RADS and intraplaque neovascularization improve the identification of recent cerebrovascular events in patients with unilateral carotid artery stenosis compared to single imaging indicators?
Combining Plaque-RADS and intraplaque neovascularization grading provides complementary value and significantly improves the identification of recent cerebrovascular events in patients with carotid stenosis.
Answers are grounded in this paper and cite their sources.
May support risk stratification in carotid stenosis; leaves open prospective validation of clinical utility.
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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Zhu et al. (2026) conducted an observational in Unilateral carotid artery stenosis (n=128). Combined model of Plaque-RADS and intraplaque neovascularization (IPN) vs. Single-indicator models (Plaque-RADS only, IPN only, or plaque volume only) was evaluated on Predictive model performance (AUC) for identifying symptomatic carotid stenosis (AUC 0.751, 95% CI 0.661-0.841, p=0.021). A combined model of Plaque-RADS and intraplaque neovascularization grade significantly outperformed single-indicator models for identifying symptomatic carotid stenosis (AUC 0.751; 95% CI 0.661-0.841).
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