Evidence map›Paper›PMID 35873774›Full record

ArticleFrontiers in neurology2022

Automated Supra- and Infratentorial Brain Infarct Volume Estimation on Diffusion Weighted Imaging Using the RAPID Software.

Lehel Lakatos, Manuel Bolognese, Martin Müller, Mareike Österreich, Alexander von Hessling

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.7field-weighted citation impact, top 16% of its field
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

6 citing papers in PubMed, 12 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Lehel LakatosDepartment of Neurology and Neurorehabilitation, Lucerne Kantonsspital, Lucerne, Switzerland.
Manuel BologneseDepartment of Neurology and Neurorehabilitation, Lucerne Kantonsspital, Lucerne, Switzerland.
Martin MüllerDepartment of Neurology and Neurorehabilitation, Lucerne Kantonsspital, Lucerne, Switzerland.
Mareike ÖsterreichDepartment of Neurology and Neurorehabilitation, Lucerne Kantonsspital, Lucerne, Switzerland.
Alexander von HesslingDepartment of Radiology (Section Neuroradiology), Lucerne Kantonsspital, Lucerne, Switzerland.
Luzerner Kantonsspital · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The present computerized techniques have limits to estimate the ischemic lesion volume especially in vertebrobasilar ischemia (VBI) automatically. We investigated the ability of the RAPID AI (RAPID) software on diffusion-weighted imaging (DWI) to estimate the infarct size in VBI in comparison to supratentorial ischemia (STI). Methods: Among 123 stroke patients (39 women, 84 men, mean age 66 ± 11 years) having undergone DWI, 41 had had a VBI and 82 a STI. The infarct volume calculation by RAPID was compared to volume calculations by 2 neurologists using the ABC/2 method. For inter-reader and between-method analysis intraclass correlation coefficient (ICC), area under the curve (AUC) estimations, and Bland-Altman plots were used. Results: ICC between the two neurologists and each neurologist and RAPID were >0.946 (largest 95% Conclusion: The ability of the RAPID software to depict strokes in the vertebrobasilar artery system seems close to its ability in the supratentorial brain tissue. However, small lesion volumes ≤ 2 ml remain still undetected in both brain areas.

Indexed as

interobserver agreementMRIstrokevertebrobasilar artery systemvolume measure

Identifiers

PMID35873774
PMCPMC9304979
OpenAlexW4284886017

What OpenQuestion holds

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LicenceCC BY
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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.