Multimodal Risk Stratification Clue of Carotid Bifurcation Plaques: A Cross-Sectional Observational Study of Vector
Liuming Shi1,2,3, Yijie Ning1,2, Qian Wang4
1Department of Vascular Surgery, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Insights
Vector Flow (V-Flow) imaging reveals hemodynamic parameters like oscillatory shear index and time-averaged turbulence intensity are key indicators of symptomatic carotid atherosclerosis. Integrating these with Plaque-RADS and clinical data improves high-risk plaque prediction.
Area of Science:
- Cardiovascular Imaging
- Biomedical Engineering
- Vascular Medicine
Background:
- Carotid atherosclerosis poses a significant stroke risk.
- Accurate risk stratification of carotid bifurcation plaques is crucial for patient management.
- Current methods may not fully capture plaque instability dynamics.
Purpose of the Study:
- To quantify hemodynamic parameters in carotid bifurcation plaques using Vector Flow (V-Flow) imaging.
- To identify determinants of symptomatic status in carotid atherosclerosis.
- To enhance risk stratification by integrating hemodynamic data, Plaque-RADS grading, and clinical factors.
Main Methods:
- A cross-sectional study of 160 patients with carotid bifurcation plaques.
- High-frame-rate V-Flow imaging to measure wall shear stress (WSS), oscillatory shear index (OSI), and time-averaged turbulence intensity (TATur).
- Plaque-RADS grading and multivariable logistic regression to analyze associations with symptomatic status.
Main Results:
- Symptomatic patients had higher prevalence of comorbidities and greater plaque length/thickness.
- Increased OSI and TATur in middle segments, and higher WSSmax/WSSmean, OSI, and TATur in distal segments were observed in symptomatic patients.
- Triglycerides, plaque length, TATur-Mid, WSSmax-Distal, and Plaque-RADS were independent predictors of symptomatic status.
Conclusions:
- V-Flow derived hemodynamic metrics (OSI, TATur) are strongly associated with symptomatic carotid disease.
- A combined model including V-Flow, Plaque-RADS, and clinical factors significantly improves prediction of high-risk plaques.
- These integrated parameters enhance individualized risk stratification for carotid atherosclerosis.
Abstract:
This single-center cross-sectional study quantified segmental hemodynamic parameters of carotid bifurcation plaques by integrating high-frame-rate Vector Flow (V-Flow) imaging, Plaque-Reporting and Data System (Plaque-RADS) grading and clinical factors, to identify determinants of symptomatic status and enhance risk stratification of carotid atherosclerosis. From Feb-Aug 2025, 160 consecutive patients with carotid bifurcation plaques were enrolled. Symptomatic patients had ipsilateral transient ischemic attack/ischemic stroke within 180 days. B-mode ultrasound and V-Flow quantified wall shear stress (WSS), oscillatory shear index (OSI), and time-averaged turbulence intensity (TATur) at proximal/middle/distal plaque segments; plaques were Plaque-RADS-graded. Associations with symptomatic status were analyzed via multivariable logistic regression. Model performance was evaluated using ROC curve analysis and decision curve analysis; interobserver reproducibility was assessed using Bland-Altman analysis. Compared with the asymptomatic group patients (n = 98), symptomatic patients (n = 62) were older and had higher prevalence of hypertension, coronary heart disease, elevated triglycerides, and greater plaque length/thickness. They exhibited more Plaque-RADS grades 3-4, higher OSI/TATur at middle segments, and increased WSSmax/WSSmean, OSI, and TATur at distal segments. Multivariable analysis identified triglycerides, plaque length, TATur-Mid, WSSmax-Distal, and Plaque-RADS as independent predictors. The combined model (clinical + Plaque-RADS + V-Flow) achieved the highest discrimination (AUC = 0.826) and outperformed the base model. V-Flow-derived hemodynamic metrics, particularly OSI and TATur in middle/distal plaque segments, are strongly associated with symptomatic carotid disease. Combined with Plaque-RADS and clinical factors, these parameters enhance prediction of high-risk plaques, support individualized risk stratification, and may help identify patients who could benefit from closer surveillance.
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