Evidence map›Paper›PMID 37021148›Full record

ArticleEuropean stroke journal2023

Comparative analysis of core and perfusion lesion volumes between commercially available computed tomography perfusion software.

Olli P Suomalainen, Nicolas Martinez-Majander, Gerli Sibolt, Katariina Bäcklund, Juha Järveläinen, Antti Korvenoja, Marjaana Tiainen, Nina Forss, Sami Curtze

Abstract read
In one paragraph

Article in European stroke journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

9 authors.

Olli P SuomalainenDepartment of Neurology, Helsinki University Hospital and Clinical Neurosciences, University of Helsinki, Finland.ORCID 0000-0003-1620-051X
Nicolas Martinez-MajanderDepartment of Neurology, Helsinki University Hospital and Clinical Neurosciences, University of Helsinki, Finland.
Gerli SiboltDepartment of Neurology, Helsinki University Hospital and Clinical Neurosciences, University of Helsinki, Finland.
Katariina BäcklundDepartment of Neurology, Helsinki University Hospital and Clinical Neurosciences, University of Helsinki, Finland.
Juha JärveläinenDepartment of Neuroradiology, Helsinki University Hospital and Clinical Neurosciences, University of Helsinki, Finland.
Antti KorvenojaDepartment of Neuroradiology, Helsinki University Hospital and Clinical Neurosciences, University of Helsinki, Finland.
Marjaana TiainenDepartment of Neurology, Helsinki University Hospital and Clinical Neurosciences, University of Helsinki, Finland.ORCID 0000-0001-5107-1990
Nina ForssDepartment of Neurology, Helsinki University Hospital and Clinical Neurosciences, University of Helsinki, Finland.
Sami CurtzeDepartment of Neurology, Helsinki University Hospital and Clinical Neurosciences, University of Helsinki, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Computed tomography perfusion (CTP) imaging has become an important tool in evaluating acute recanalization treatment candidates. Large clinical trials have successfully used RAPID automated imaging analysis software for quantifying ischemic core and penumbra, yet other commercially available software vendors are also on the market. We evaluated the possible difference in ischemic core and perfusion lesion volumes and the agreement rate of target mismatch between OLEA, MIStar, and Syngo.Via versus RAPID software in acute recanalization treatment candidates. Patients and methods: All consecutive stroke-code patients with baseline CTP RAPID imaging at Helsinki University Hospital during 8/2018-9/2021 were included. Ischemic core was defined as cerebral blood flow <30% than the contralateral hemisphere and within the area of delay time (DT) >3s with MIStar. Perfusion lesion volume was defined as DT > 3 s (MIStar) and T Results: A total of 1606 patients had RAPID perfusion maps, 1222 of which had MIStar, 596 patients had OLEA, and 349 patients had Syngo.Via perfusion maps available. Each software was compared with simultaneously analyzed RAPID software. MIStar showed the smallest core difference compared with RAPID (-2 mL, confidence interval (CI) from -26 to 22), followed by OLEA (2 mL, CI from -33 to 38). Perfusion lesion volume differed least with MIStar (4 mL, CI from -62 to 71) in comparison with RAPID, followed by Syngo.Via (6 mL, CI from -94 to 106). MIStar had the best agreement rate with target mismatch of RAPID followed by OLEA and Syngo.Via. Discussion and conclusion: Comparison of RAPID with three other automated imaging analysis software showed variance in ischemic core and perfusion lesion volumes and in target mismatch.

Indexed as

StrokeTomography, X-Ray ComputedDiffusion Magnetic Resonance ImagingHumansPerfusionSoftwareCT perfusionischemic coreIschemic strokepenumbra

Identifiers

PMID37021148
PMCPMC10069177

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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.