Evidence map›Paper›PMID 39749287›Full record

ArticleNpj imaging2024

Stratifying vascular disease patients into homogeneous subgroups using machine learning and FLAIR MRI biomarkers.

Karissa Chan, Corinne Fischer, Pejman Jabehdar Maralani, Sandra E Black, Alan R Moody, April Khademi

Abstract read
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In one paragraph

Article in Npj imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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

6 authors.

Karissa ChanDepartment of Electrical, Computer and Biomedical Engineering, Toronto Metropolitan University, Toronto, ON Canada.
Corinne FischerKeenan Research Center for Biomedical Science, St. Michael's Hospital, Unity Health Network, Toronto, ON Canada.
Pejman Jabehdar MaralaniDepartment of Medical Imaging, University of Toronto, Toronto, ON Canada.
Sandra E BlackInstitute of Medical Science, University of Toronto, Toronto, ON Canada.
Alan R MoodyDepartment of Medical Imaging, University of Toronto, Toronto, ON Canada.
April KhademiDepartment of Electrical, Computer and Biomedical Engineering, Toronto Metropolitan University, Toronto, ON Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study proposes a framework to stratify vascular disease patients based on brain health and cerebrovascular disease (CVD) risk using regional FLAIR biomarkers. Intensity and texture biomarkers were extracted from FLAIR volumes of 379 atherosclerosis patients. K-Means clustering identified five homogeneous subgroups. The 15 most important biomarkers for subgroup differentiation, identified via Random Forest classification, were used to generate biomarker profiles. ANOVA tests showed age and white matter lesion volume were significantly (

Indexed as

Brain imagingImage processing

Identifiers

PMID39749287
PMCPMC11688236

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.