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◆ Quantitative imaging in medicine and surgery2026-09-01

Beyond plaque morphology: a multimodal imaging model combining structural vulnerability and functional reserve predicts stroke recurrence in symptomatic intracranial atherosclerosis.

Ying Zhao, Jiajia Yang, Yutong Zhang, Jialei Fei, Wanyi Shao, Nan He, Qi Fang, Yu Zhang

一句话结论 · In one sentence

This multimodal model synergistically combines structural plaque vulnerability and functional hemodynamic reserve, providing a potentially useful tool for stratifying long-term recurrence risk in symptomatic ICAD.

原始摘要(英文原文)· Original abstract
BACKGROUND: Symptomatic intracranial atherosclerotic disease (ICAD) is associated with a high risk of recurrent ischemic stroke, and improved risk stratification approaches are needed. The aim of this study was to develop a multimodal imaging model integrating high-resolution vessel wall imaging (HR-VWI)-derived plaque vulnerability with the cerebral collateral cascade (CCC) framework to predict long-term stroke recurrence in ICAD. METHODS: In this retrospective cohort study, patients with anterior-circulation ICAD underwent computed tomography angiography (CTA), CT perfusion (CTP), and HR-VWI. CCC status was assessed across arterial collaterals, tissue perfusion, and venous outflow (CCC+, CCCmixed, CCC-). HR-VWI metrics including plaque burden and enhancement ratio were quantified. Independent predictors were identified using Firth-corrected Cox models. The performance of single-modality (plaque-only or CCC-only) and integrated multimodal prediction models was evaluated using receiver operating characteristic (ROC) curves, calibration curves, decision curve analysis, and DeLong's test. RESULTS: Among 89 patients (median follow-up 30.0 months), 20 experienced recurrent stroke. The recurrence group demonstrated significantly higher plaque burden, enhancement ratio, and hypoperfusion volume (all P<0.05). Recurrence rate was higher in the CCC- group (64.3%) than in the CCC+ group (5.3%, P<0.001). Multivariable analysis identified plaque enhancement ratio [adjusted hazard ratio (aHR) =2.52, P=0.005], plaque burden (aHR =1.07, P=0.013), and CCC- profile (aHR =3.39, P=0.005) as independent predictors. The multimodal model integrating these predictors demonstrated improved discriminative performance [area under the ROC curve (AUC) =0.829], outperforming the best plaque-only model (AUC =0.735, P<0.05). CONCLUSIONS: This multimodal model synergistically combines structural plaque vulnerability and functional hemodynamic reserve, providing a potentially useful tool for stratifying long-term recurrence risk in symptomatic ICAD.
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Beyond plaque morphology: a multimodal imaging model combining structural vulnerability and functional reserve predicts stroke recurrence in symptomatic intracranial atherosclerosis. — 科研速览 Science Skim