Evidence map›Paper›PMID 42610139›Full record

ArticleBiomedical optics express2026

Vascular topological primitives resolve post-ischemic microvascular risk fields and enable early prediction in longitudinal OCTA.

Jingmin Luan, Yifei Xie, Ning Ding, Jian Liu, Yao Yu, Xin Zhu, Zhenhe Ma

Abstract read
In one paragraph

Article in Biomedical optics express, 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

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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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jingmin LuanSchool of Computer and Communication Engineering, Northeastern University at Qinhuangdao, No. 143 Taishan Road, Qinhuangdao, 066004, China.
Yifei XieSchool of Computer and Communication Engineering, Northeastern University at Qinhuangdao, No. 143 Taishan Road, Qinhuangdao, 066004, China.
Ning DingSchool of Computer and Communication Engineering, Northeastern University at Qinhuangdao, No. 143 Taishan Road, Qinhuangdao, 066004, China.
Jian LiuSchool of Intelligent Sensing and Optoelectronic Engineering, Northeastern University at Qinhuangdao, No. 143 Taishan Road, Qinhuangdao, 066004, China.
Yao YuSchool of Intelligent Sensing and Optoelectronic Engineering, Northeastern University at Qinhuangdao, No. 143 Taishan Road, Qinhuangdao, 066004, China.
Xin ZhuDepartment of AI Technology Development, M&D Data Science Center, Institute of Science Tokyo, Chiyoda, Tokyo, 1010062, Japan.
Zhenhe MaSchool of Intelligent Sensing and Optoelectronic Engineering, Northeastern University at Qinhuangdao, No. 143 Taishan Road, Qinhuangdao, 066004, China.ORCID https://orcid.org/0000-0003-4079-9550

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Post-ischemic microvascular perfusion abnormalities appear in OCTA as regional hypoperfusion and heterogeneous attenuation within pre-existing vascular structures. However, most longitudinal OCTA analyses rely on image- or region-level readouts, making it difficult to assign local signal changes to the same baseline vascular elements or to interpret their spatial and topological context within the original vascular network. Here, we propose a baseline-referenced longitudinal OCTA framework in which vascular topological primitives (VTPs) serve as fixed structural coordinates for post-ischemic perfusion analysis. The pre-ischemic OCTA vascular network was decomposed into a baseline VTP template with explicit topological boundaries, fixed sampling domains, and graph connectivity, allowing follow-up signals to be read from the same vascular elements throughout the longitudinal sequence. In a photothrombotic mouse model of focal cerebral ischemia, this mapping generated VTP-level log-ratio attenuation trajectories and a continuous vascular risk field. VTP-level trajectories revealed heterogeneous attenuation magnitude and temporal evolution across baseline vascular structures. The resulting risk field delineated a core-centered spatial-topological organization, with core-proximal attenuation-risk VTPs located closer to OCTA-defined high-risk core VTPs than stable-background VTPs and risk scores decreasing outward along the baseline VTP graph. This spatial-topological organization was directionally consistent across six animals and was significant by one-sided exact sign test (

Identifiers

PMID42610139
PMCPMC13481083

What Socratic holds

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Registered trials

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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.