Evidence map›Paper›PMID 42564538›Full record

ArticleCerebral circulation - cognition and behavior2026

Automated volume estimate of the brain's lateral ventricles reveals a persistent association with cognitive performance among stroke survivors.

Bradley J MacIntosh, Pål Cw Morberg, Elakkyen Murugesu, Mona K Beyer, Karianne Larsen, Karoline Skogen, Eva B Aamodt, Atle Bjørnerud, Inge R Groote, Matthan Wa Caan and 3 more

Abstract read
In one paragraph

Article in Cerebral circulation - cognition and behavior, 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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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

Who cites it

0 citing papers in PubMed.

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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

13 authors.

Bradley J MacIntoshComputational Radiology & Artificial Intelligence Unit, Department of Physics and Computational Radiology, Oslo University Hospital, Oslo, Norway.
Pål Cw MorbergNorwegian Air Ambulance Foundation, Department of Research and Development, Oslo, Norway.
Elakkyen MurugesuComputational Radiology & Artificial Intelligence Unit, Department of Physics and Computational Radiology, Oslo University Hospital, Oslo, Norway.
Mona K BeyerInstitute of Clinical Medicine, University of Oslo, Oslo, Norway.
Karianne LarsenNorwegian Air Ambulance Foundation, Department of Research and Development, Oslo, Norway.
Karoline SkogenComputational Radiology & Artificial Intelligence Unit, Department of Physics and Computational Radiology, Oslo University Hospital, Oslo, Norway.
Eva B AamodtDivision of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway.
Atle BjørnerudComputational Radiology & Artificial Intelligence Unit, Department of Physics and Computational Radiology, Oslo University Hospital, Oslo, Norway.
Inge R GrooteDept. of Radiology, Vestfold Hospital Trust, Tønsberg, Norway.
Matthan Wa CaanDepartment of Biomedical Engineering and Physics, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
Hege Ihle-HansenDepartment of Medical Research, Bærum Hospital, Vestre Viken Hospital Trust, Norway.
Ingvild SaltvedtDepartment of Geriatric Medicine, Clinic of Medicine, St. Olavs Hospital, Trondheim, Norway.
Till SchellhornComputational Radiology & Artificial Intelligence Unit, Department of Physics and Computational Radiology, Oslo University Hospital, Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Post-stroke cognitive impairment (PSCI) is a significant barrier to recovery. While computed tomography (CT) is the dominant modality for acute stroke diagnosis, it can also quantify brain anatomy, such as lateral ventricular volume (LVV). This study investigates whether initial LVV is associated with Montreal Cognitive Assessment (MoCA) scores over long-term follow-up. Methods: Initial head CT, longitudinal MoCA, and functional assessments were collected at sites from the Norwegian COgnitive impairment After STroke (Nor-COAST) study. LVV was estimated using an established deep learning segmentation tool. Associations between initial LVV and repeat MoCA were tested across four timepoints (up to three years) using a linear mixed effects model. To provide context, we explored the independent influence of LVV in relation to National Institutes of Health Stroke Scale (NIHSS), modified Rankin Scale (mRS), and Global Deterioration Scale (GDS). Results: The sample of N = 547 participants were 74 ± 12 years (range: 35-97 years) and 54% female. Log-transformed LVV was inversely associated with longitudinal MoCA scores (t=-3.75, p < 0.001). This relationship was consistent across cross-sectional analyses at individual time points. Secondary analyses revealed significant LVV associations with NIHSS, mRS, and GDS scores (all p < 0.05). Conclusion: LVV was independently associated with lower MoCA scores across the three-year follow-up after stroke. Specifically, a patient with twice the initial LVV scored 0.7 points lower on the MoCA across three years of follow-up. These findings reveal that CT obtained at stroke admission may yield prognostic information about long-term cognitive outcomes, supporting the case for automated LVV estimation.

Indexed as

Cognitive assessmentComputed tomographyDeep learningMontreal cognitive assessmentPost-stroke cognitive impairmentSegmentationStroke recoveryVentricle volume

Identifiers

PMID42564538
PMCPMC13445349

What Socratic holds

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LicenceCC BY-NC-ND
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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.