Evidence map›Paper›PMID 32790766›Full record

ArticlePloS one2020

Cerebral attenuation on single-phase CT angiography source images: Automated ischemia detection and morphologic outcome prediction after thrombectomy in patients with ischemic stroke.

Paul Reidler, Daniel Puhr-Westerheide, Lukas Rotkopf, Matthias P Fabritius, Katharina Feil, Lars Kellert, Steffen Tiedt, Jan Rémi, Thomas Liebig, Wolfgang G Kunz

Open access · goldAbstract readCase Reports
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

5 citing papers in PubMed, 4 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

10 authors at 1 institution in 1 country.

Paul ReidlerDepartment of Radiology, University Hospital, LMU Munich, Munich, Germany.ORCID 0000-0001-7961-3018
Daniel Puhr-WesterheideDepartment of Radiology, University Hospital, LMU Munich, Munich, Germany.
Lukas RotkopfDepartment of Radiology, University Hospital, LMU Munich, Munich, Germany.ORCID 0000-0001-9862-218X
Matthias P FabritiusDepartment of Radiology, University Hospital, LMU Munich, Munich, Germany.
Katharina FeilDepartment of Neurology, University Hospital, LMU Munich, Munich, Germany.
Lars KellertDepartment of Neurology, University Hospital, LMU Munich, Munich, Germany.
Steffen TiedtInstitute for Stroke and Dementia Research, LMU Munich, Munich, Germany.
Jan RémiDepartment of Neurology, University Hospital, LMU Munich, Munich, Germany.
Thomas LiebigDepartment of Neuroradiology, University Hospital, LMU Munich, Munich, Germany.
Wolfgang G KunzDepartment of Radiology, University Hospital, LMU Munich, Munich, Germany.
LMU Klinikum · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesStroke triage using CT perfusion (CTP) or MRI gained importance after successful application in recent trials on late-window thrombectomy but is often unavailable and time-consuming. We tested the clinical value of software-based analysis of cerebral attenuation on Single-phase CT angiography source images (CTASI) as CTP surrogate in stroke patients.

methodsSoftware-based automated segmentation and Hounsfield unit (HU) measurements for all regions of the Alberta Stroke Program Early CT Score (ASPECTS) on CTASI were performed in patients with large vessel occlusion stroke who underwent thrombectomy. To normalize values, we calculated relative HU (rHU) as ratio of affected to unaffected hemisphere. Ischemic regions, regional ischemic core and final infarction were determined on simultaneously acquired CTP and follow-up imaging as ground truth. Receiver operating characteristics analysis was performed to calculate the area-under-the-curve (AUC). Resulting cut-off values were used for comparison with visual analysis and to calculate an 11-point automated CTASI ASPECTS.

resultsSeventy-nine patients were included. rHU values enabled significant classification of ischemic involvement on CTP in all ten regions of the ASPECTS (each p<0.001, except M4-cortex p = 0.002). Classification of ischemic core and prediction of final infarction had best results in subcortical regions but produced lower AUC values with significant classification for all regions except M1, M3 and M5. Relative total hemispheric attenuation provided strong linear correlation with CTP total ischemic volume. Automated classification of regional ischemia on CTASI was significantly more accurate in most regions and provided better agreement with CTP cerebral blood flow ASPECTS than visual assessment.

conclusionsAutomated attenuation measurements on CTASI provide excellent performance in detecting acute ischemia as identified on CTP with improved accuracy compared to visual analysis. However, value for the approximation of ischemic core and morphologic outcome in large vessel occlusion stroke after thrombectomy was regionally dependent and limited. This technique has the potential to facilitate stroke imaging as sensitive surrogate for CTP-based ischemia.

Indexed as

AgedAged, 80 and overBrain IschemiaComputed Tomography AngiographyFemaleHumansMaleMiddle AgedPrognosisRadiographic Image Interpretation, Computer-AssistedRetrospective StudiesStrokeThrombectomyTreatment Outcome

Identifiers

PMID32790766
PMCPMC7425881
OpenAlexW3049056126

What OpenQuestion holds

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Registered trials

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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.