Evidence map›Paper›PMID 42894550›Full record

ArticleiScience2026

Streamlined 2D multimodal fusion framework predicts 90 day functional outcomes in acute ischemic stroke.

Jian Ding, Yuhan Chen, Feifan Liu, Jun Han, Xiang Zhu, Yangyang Li, Tianyu Lu, Sheng Hu, Jingjing Fu, Shiying Gai and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in iScience, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Jian DingDepartment of Radiology, The First Hospital of Jiaxing & The Affiliated Hospital of Jiaxing University, Jiaxing 314000, Zhejiang, China.
Yuhan ChenDepartment of Neurology, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu 322000, Zhejiang, China.
Feifan LiuDepartment of Neurology, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu 322000, Zhejiang, China.
Jun HanDepartment of Radiology, The First Hospital of Jiaxing & The Affiliated Hospital of Jiaxing University, Jiaxing 314000, Zhejiang, China.
Xiang ZhuDepartment of Radiology, The First Hospital of Jiaxing & The Affiliated Hospital of Jiaxing University, Jiaxing 314000, Zhejiang, China.
Yangyang LiDepartment of Radiology, The First Hospital of Jiaxing & The Affiliated Hospital of Jiaxing University, Jiaxing 314000, Zhejiang, China.
Tianyu LuDepartment of Radiology, The First Hospital of Jiaxing & The Affiliated Hospital of Jiaxing University, Jiaxing 314000, Zhejiang, China.
Sheng HuDepartment of Radiology, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu 322000, Zhejiang, China.
Jingjing FuDepartment of Neurology, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu 322000, Zhejiang, China.
Shiying GaiDepartment of Neurointervention, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu 322000, Zhejiang, China.
Huan LiuDepartment of Neurology, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu 322000, Zhejiang, China.
Song ChengDepartment of Radiology, Tongde Hospital of Zhejiang Province, Hangzhou 310000, Zhejiang, China.
Dekuai TongDepartment of Radiology, The First Hospital of Jiaxing & The Affiliated Hospital of Jiaxing University, Jiaxing 314000, Zhejiang, China.
Yougen ChengDepartment of Radiology, Tongde Hospital of Zhejiang Province, Hangzhou 310000, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Functional outcome prediction after endovascular therapy can support early risk stratification in acute ischemic stroke. We developed a 2D multimodal fusion framework using multicenter data from 405 patients with post-interventional cerebral hyperdensity on immediate non-contrast CT. Radiomic and deep transfer learning features were extracted from the single CT slice showing the largest hyperdensity area and combined with clinical variables using an Extra Trees classifier. In the external test cohort, the fusion model predicted unfavorable 90-day outcome, defined as a modified Rankin Scale score greater than 2, with an AUC of 0.803, specificity of 88.0%, positive predictive value of 93.3%, and sensitivity of 60.9%. SHAP analysis identified malignant cerebral edema, age, baseline NIHSS, reperfusion status, and imaging intensity descriptors as influential factors. By reducing dependence on 3D segmentation, this framework provides an early phase (within 5 days) prognostic assessment tool for individualized in-hospital risk stratification after thrombectomy.

Indexed as

acute ischemic strokedeep transfer learningendovascular thrombectomyfunctional outcomemultimodal fusionradiomics

Identifiers

PMID42894550
PMCPMC13676713

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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.