Evidence map›Paper›PMID 42599507›Full record

ArticleNeuroradiology2026

Integrated imaging assessment of large arteries, intracranial plaque, and cerebral small vessel disease to distinguish acute ischemic stroke from transient ischemic attack.

Fei Xiong, Xingqing Yan, Xinran Wang, Yulu Wang, Chao Zhang, Juan Wang, Yunfeng Zhou

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Article in Neuroradiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Fei XiongDepartment of Radiology, First Affiliated Hospital of Wannan Medical University, Wuhu, China.
Xingqing YanDepartment of Radiology, First Affiliated Hospital of Wannan Medical University, Wuhu, China.
Xinran WangDepartment of Radiology, First Affiliated Hospital of Wannan Medical University, Wuhu, China.
Yulu WangDepartment of Radiology, First Affiliated Hospital of Wannan Medical University, Wuhu, China.
Chao ZhangDepartment of Radiology, First Affiliated Hospital of Wannan Medical University, Wuhu, China.
Juan WangDepartment of Radiology, First Affiliated Hospital of Wannan Medical University, Wuhu, China. 870132816@qq.com.
Yunfeng ZhouDepartment of Radiology, First Affiliated Hospital of Wannan Medical University, Wuhu, China. zhouyunfeng808@163.com.ORCID https://orcid.org/0000-0001-5260-3071

Funding

the Beijing Medical Award Foundation Ruiying Scientific Research Fund Sponsored Project no.YXJL-2024-30500282the Natural Science Research Project in Anhui Universities no.2023AH040251
6 · The paper itself

Abstract

purposeTo explore the interrelationships among global large artery status, local plaque features and cerebral small vessel disease (CSVD) imaging markers in patients with symptomatic intracranial atherosclerotic disease (ICAD), and to identify independent risk factors associated with the occurrence of acute ischemic stroke (AIS).

methodsPatients were stratified into AIS and transient ischemic attack (TIA) groups based on clinical and diffusion-weighted imaging characteristics. Spearman's correlation analysis was employed to examine the associations between large artery status, plaque features, and CSVD imaging markers in each group. Multivariate logistic regression was performed to assess discriminative performance, with discriminatory ability quantified by the area under the curve (AUC) of the receiver operating characteristic (ROC) curve, and internal validation was conducted via 1,000 bootstrap resamples.

resultsA total of 108 patients were included. The correlation patterns among large artery status, plaque features, and CSVD markers revealed significant differences between AIS and TIA patients. Notably, vessel wall enhancement demonstrated positive correlations with T1 hyperintensity, surface irregularity, stenosis severity, and plaque length (all p < 0.05) in AIS patients. Multivariate logistic regression identified the degree of plaque enhancement, vessel wall enhancement score, number of enlarged perivascular spaces, and white matter hyperintensity Fazekas score as independent risk factors associated with AIS. The model achieved an AUC of 0.962 (95% confidence interval: 0.932-0.991; p < 0.001) for identifying AIS, with a sensitivity of 84.40% and a specificity of 95.50%. The optimism -corrected AUC was 0.918.

conclusionOur findings demonstrate distinct interrelationships among large artery, plaque, and CSVD features in AIS versus TIA patients. Integrating these imaging markers significantly improves the ability to identify AIS in patients with ICAD.

Indexed as

Acute ischemic strokeCerebral small vessel diseaseIntracranial atherosclerotic diseaseMagnetic resonance imaging

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.