Evidence map›Paper›PMID 40606397›Full record

ArticleQuantitative imaging in medicine and surgery2025

Stroke subtypes risk prediction and detection using retinal vascular structure and oxygen saturation analysis.

Kun Chen, Yang Zhang, Wenteng Gao, Hui Liu, Jicheng Liu, Ronald X Xu, Ming Wu, Mingzhai Sun

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Article in Quantitative imaging in medicine and surgery, 2025. 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

What it found

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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

8 authors.

Kun Chen *Department of Precision Machinery and Precision Instrumentation, School of Engineering Science, University of Science and Technology of China, Hefei, China.
Yang Zhang *Suzhou Institute for Advanced Research, University of Science and Technology of China, Suzhou, China.
Wenteng GaoDepartment of Precision Machinery and Precision Instrumentation, School of Engineering Science, University of Science and Technology of China, Hefei, China.
Hui LiuDepartment of Precision Machinery and Precision Instrumentation, School of Engineering Science, University of Science and Technology of China, Hefei, China.
Jicheng LiuDepartment of Precision Machinery and Precision Instrumentation, School of Engineering Science, University of Science and Technology of China, Hefei, China.
Ronald X XuDepartment of Precision Machinery and Precision Instrumentation, School of Engineering Science, University of Science and Technology of China, Hefei, China.
Ming Wu *Department of Rehabilitation, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.
Mingzhai Sun *Department of Precision Machinery and Precision Instrumentation, School of Engineering Science, University of Science and Technology of China, Hefei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Stroke presents a substantial health burden, emphasizing the crucial necessity for robust screening tools to gauge its severity and assess associated biomarkers. The identification of retinal biomarkers for stroke is a pivotal pursuit, enabling both early-stage risk and subsequent prognosis prediction for personalized intervention strategies. This study aims to analyze retinal blood vessel oxygen saturation (SO Methods: This study assessed retinal images from 29 ischemic stroke patients, 23 hemorrhagic stroke patients, and 82 controls. SO Results: Ischemic stroke patients exhibited significantly higher arterial SO Conclusions: Our study reveals marked differences in retinal blood vessel characteristics between stroke subtypes and controls. Through logistic regression analysis, we establish a robust association between these parameters and the incidence of both ischemic and hemorrhagic strokes, enhancing our ability to anticipate stroke risk. Subsequently, we showcase the prognostic potential of retinal vascular biomarkers by innovatively analyzing retinal images through machine learning for stroke occurrence. These findings suggest that retinal biomarkers may hold potential value for risk stratification in stroke, and with further investigation, could inform broader applications in cerebrovascular health.

Indexed as

hemorrhagic strokeIschemic strokeretinal oxygen saturation (retinal SO2)vascular structure

Identifiers

PMID40606397
PMCPMC12209609

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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.