Evidence map›Paper›PMID 42818573›Full record

ArticleFrontiers in medicine2026

White matter hyperintensity radiomics predicts 90-day diffusion-weighted imaging-confirmed acute ischemic stroke after diffusion-weighted imaging-negative transient ischemic attack: preliminary findings from a retrospective machine-learning study.

Lian Liu, Yunyun Lyu, Zhiping Li, Yu Zhou

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Article in Frontiers in medicine, 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

4 authors.

Lian Liu *Department of Medical Imaging, Jiangjin Hospital, Chongqing University of Chinese Medicine, Chongqing, China.
Yunyun Lyu *Department of Medical Imaging, Jiangjin Hospital, Chongqing University of Chinese Medicine, Chongqing, China.
Zhiping LiDepartment of Geriatrics, Jiangjin Hospital, Chongqing University of Chinese Medicine, Chongqing, China.
Yu ZhouDepartment of Medical Imaging, Jiangjin Hospital, Chongqing University of Chinese Medicine, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To develop and internally validate a T2-fluid-attenuated inversion recovery (T2-FLAIR) white matter hyperintensity (WMH) radiomics model, alone and in combination with baseline clinical variables, for predicting diffusion-weighted imaging (DWI)-confirmed acute ischemic stroke (AIS) within 90 days after an index DWI-negative transient ischemic attack (TIA). Methods: This single-center retrospective study included 398 patients initially diagnosed with DWI-negative TIA between January 2021 and May 2025 who underwent repeat brain magnetic resonance imaging with DWI within 90 days because of recurrent transient neurological symptoms and were classified into AIS ( Results: In the training cohort, the combined model achieved the highest area under the curve (AUC) (0.900, 95% CI: 0.860-0.940), followed by the radiomics model (0.862, 95% CI: 0.812-0.912) and the clinical model (0.775, 95% CI: 0.720-0.830). In the testing cohort, the radiomics model achieved the highest AUC (0.854, 95% CI: 0.757-0.950), followed by the combined model (0.841, 95% CI: 0.748-0.935) and the clinical model (0.696, 95% CI: 0.568-0.824). Conclusion: These preliminary findings indicate that T2-FLAIR WMH radiomics may provide promising internal discrimination for predicting 90-day DWI-confirmed AIS after DWI-negative TIA in this selected high-risk cohort. The incremental value of adding clinical variables to radiomics was not confirmed in the internal testing cohort, and prospective multicenter validation is required.

Indexed as

acute ischemic strokemachine learningradiomicssupport vector machineT2-fluid-attenuated inversion recoverytransient ischemic attackwhite matter hyperintensities

Identifiers

PMID42818573
PMCPMC13623558

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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 OpenQuestion graph.