A model based on high-resolution magnetic resonance vessel wall imaging for predicting stroke recurrence in patients with symptomatic intracranial atherosclerosis

HRMR-VWI is valuable for the prediction of ischemic stroke recurrence in patients with sICAS. The HRMR-VWI-based model for the prediction of stroke recurrence in patients with sICAS can facilitate the early diagnosis and treatment of stroke recurrence.

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Publication Details

Journal
Quantitative Imaging in Medicine and Surgery
Published
2025-10-21
DOI
https://doi.org/10.21037/qims-2025-1201
Primary Topic
Cerebrovascular and Carotid Artery Diseases
Type
article
Field-Weighted Citation Impact
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article

A model based on high-resolution magnetic resonance vessel wall imaging for predicting stroke recurrence in patients with symptomatic intracranial atherosclerosis

Xihai Zhao, Jun‐Yan Liu, Zhi-Gang Peng, Jing Zhao
Quantitative Imaging in Medicine and Surgery
Cerebrovascular and Carotid Artery Diseases
article

A model based on high-resolution magnetic resonance vessel wall imaging for predicting stroke recurrence in patients with symptomatic intracranial atherosclerosis

Xihai Zhao, Jun‐Yan Liu, Zhi-Gang Peng, Jing Zhao
article en

Abstract

HRMR-VWI is valuable for the prediction of ischemic stroke recurrence in patients with sICAS. The HRMR-VWI-based model for the prediction of stroke recurrence in patients with sICAS can facilitate the early diagnosis and treatment of stroke recurrence.

Quantitative Imaging in Medicine and SurgeryVol. 15(11)
Hebei Medical University (CN), Third Hospital of Hebei Medical University (CN)
Openalex Percentile: Top 57%
Cerebrovascular and Carotid Artery Diseases
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