Evidence map›Paper›PMID 41255820›Full record

ArticleFrontiers in neuroscience2025

Comparative validation of automated perfusion analysis software for ischemic penumbra estimation and EVT decision-making.

Jonguk Kim, Jong-Hyeok Park, Dongmin Kim, Myungjae Lee, Joon-Tae Kim, Leonard Sunwoo, Cheolkyu Jung, Wi-Sun Ryu, Beom Joon Kim

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 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. Review
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

9 authors.

Jonguk KimDepartment of Neurology, Seoul National University Bundang Hospital, College of Medicine, Seoul National University, Seongnam, Republic of Korea.
Jong-Hyeok ParkArtificial Intelligence Research Center, JLK Inc., Seoul, Republic of Korea.
Dongmin KimArtificial Intelligence Research Center, JLK Inc., Seoul, Republic of Korea.
Myungjae LeeArtificial Intelligence Research Center, JLK Inc., Seoul, Republic of Korea.
Joon-Tae KimDepartment of Neurology, Chonnam National University Hospital, College of Medicine, Chonnam National University, Gwangju, Republic of Korea.
Leonard SunwooDepartment of Radiology, Seoul National University Bundang Hospital, College of Medicine, Seoul National University, Seongnam, Republic of Korea.
Cheolkyu JungDepartment of Radiology, Seoul National University Bundang Hospital, College of Medicine, Seoul National University, Seongnam, Republic of Korea.
Wi-Sun RyuArtificial Intelligence Research Center, JLK Inc., Seoul, Republic of Korea.
Beom Joon KimDepartment of Neurology, Seoul National University Bundang Hospital, College of Medicine, Seoul National University, Seongnam, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: While computed tomography perfusion is widely used in acute stroke imaging, magnetic resonance perfusion-weighted imaging (PWI) offers superior spatial resolution and tissue specificity, particularly when combined with diffusion-weighted imaging (DWI). However, no prior study has systematically compared automated PWI analysis platforms. This study aims to evaluate the performance of a newly developed software (JLK PWI) against the established RAPID platform in terms of volumetric agreement and clinical decision concordance. Methods: This retrospective multicenter study included 299 patients with acute ischemic stroke who underwent PWI within 24 h of symptom onset. Volumetric agreement between RAPID and JLK PWI was assessed using concordance correlation coefficients (CCC), Bland-Altman plots, and Pearson correlations. Agreement in endovascular therapy (EVT) eligibility was evaluated using Cohen's kappa based on DAWN and DEFUSE-3 criteria. Results: The mean age was 70.9 years, 55.9% were male, and the median NIHSS score was 11 (IQR 5-17). The median time from the last known well to PWI was 6.0 h. JLK PWI showed excellent agreement with RAPID for ischemic core (CCC = 0.87; Conclusion: JLK PWI demonstrates high technical and clinical concordance with RAPID, supporting its use as a reliable alternative for MRI-based perfusion analysis in acute stroke care.

Indexed as

acute ischemic strokeautomated softwarediffusion-weighted imagingendovascular thrombectomymagnetic resonance imagingperfusion-weighted imaging

Identifiers

PMID41255820
PMCPMC12620487

What Socratic holds

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LicenceCC BY
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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.