Evidence map›Paper›PMID 41458292›Full record

ArticleFrontiers in neuroinformatics2025

Assessing the eligibility of Brainomix e-ASPECTS for acute stroke imaging.

Mateusz Dorochowicz, Arkadiusz Kacała, Michał Puła, Adrian Korbecki, Aleksandra Kosikowska, Aleksandra Tołkacz, Anna Zimny, Maciej Guziński

Abstract read
In one paragraph

Article in Frontiers in neuroinformatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Mateusz DorochowiczDepartment of General, Interventional and Neuroradiology, Wroclaw University Hospital, Wrocław, Poland.
Arkadiusz KacałaDepartment of Radiology, Wroclaw Medical University, Wroclaw, Poland.
Michał PułaDepartment of General, Interventional and Neuroradiology, Wroclaw University Hospital, Wrocław, Poland.
Adrian KorbeckiDepartment of General, Interventional and Neuroradiology, Wroclaw Medical University, Wrocław, Poland.
Aleksandra KosikowskaFaculty of Medicine, Wroclaw Medical University, Wrocław, Poland.
Aleksandra TołkaczFaculty of Medicine, Wroclaw Medical University, Wrocław, Poland.
Anna ZimnyDepartment of Radiology, Wroclaw Medical University, Wroclaw, Poland.
Maciej GuzińskiDepartment of Radiology, Wroclaw Medical University, Wroclaw, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Timely and accurate assessment of acute ischemic stroke is crucial for determining eligibility for mechanical thrombectomy. The Alberta Stroke Program Early CT Score (ASPECTS) is a widely used tool for evaluating early ischemic changes on non-contrast CT (NCCT), but its interpretation is subject to interobserver variability. Brainomix e-ASPECTS is an automated software designed to standardize and expedite this assessment. We aimed to evaluate the clinical utility and diagnostic performance of the Brainomix e-ASPECTS software in an unselected, real-world cohort of patients undergoing NCCT for suspected acute ischemic stroke. Methods: We retrospectively analyzed 1,029 NCCT studies from 954 patients between March 2020 and December 2024. e-ASPECTS scores were compared to radiologist-assigned ASPECTS, which served as the reference standard. Diagnostic accuracy, sensitivity, specificity, and correlation between scoring methods were assessed. Results: There was a strong correlation between e-ASPECTS and radiologist ASPECTS ( Conclusion: E-ASPECTS demonstrates high diagnostic accuracy and strong agreement with expert radiological assessment, supporting its role as a valuable decision support tool in acute stroke imaging. However, its use should complement, not replace, expert interpretation, particularly in patients with low ASPECTS scores, where treatment decisions are most sensitive.

Indexed as

acute ischemic strokeartificial intelligence in stroke imagingclinical decision support systems (CDS system)e-ASPECTShealthcare AI validationmechanical thrombectomy eligibilitystroke imaging algorithms

Identifiers

PMID41458292
PMCPMC12738961

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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.