Evidence map›Paper›PMID 35608629›Full record

ArticleNeuroradiology2022

Inter-rater reliability for assessing intracranial collaterals in patients with acute ischemic stroke: comparing 29 raters and an artificial intelligence-based software.

Lennard Wolff, Jiahang Su, Derek Van Loon, Adriaan van Es, Pieter Jan van Doormaal, Charles Majoie, Wim van Zwam, Diederik Dippel, Aad van der Lugt, Theo van Walsum and 1 more

Abstract read
In one paragraph

Article in Neuroradiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

11 authors.

Lennard WolffDepartment of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Doctor Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands. l.wolff.1@erasmusmc.nl.ORCID http://orcid.org/0000-0002-2448-122X
Jiahang SuDepartment of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Doctor Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands.ORCID https://orcid.org/0000-0002-2212-6128
Derek Van LoonDepartment of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Doctor Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands.
Adriaan van EsDepartment of Radiology, Leiden University Medical Center, Leiden, The Netherlands.ORCID https://orcid.org/0000-0001-6119-7247
Pieter Jan van DoormaalDepartment of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Doctor Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands.ORCID https://orcid.org/0000-0002-7398-2864
Charles MajoieDepartment of Radiology & Nuclear Medicine, Amsterdam University Medical Centers, location AMC, Amsterdam, the Netherlands.ORCID https://orcid.org/0000-0002-7600-9568
Wim van ZwamDepartment of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands.ORCID https://orcid.org/0000-0003-1631-7056
Diederik DippelDepartment of Neurology, Erasmus MC University Medical Center, Rotterdam, The Netherlands.ORCID https://orcid.org/0000-0002-9234-3515
Aad van der LugtDepartment of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Doctor Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands.ORCID https://orcid.org/0000-0002-6159-2228
Theo van WalsumDepartment of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Doctor Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands.ORCID https://orcid.org/0000-0001-8257-7759
MR CLEAN investigators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeOutcome of endovascular treatment in acute ischemic stroke patients is depending on the collateral circulation maintaining blood flow to the ischemic territory. We evaluated the inter-rater reliability and accuracy of raters and an automated algorithm for assessing the collateral score (CS, range: 0-3) in acute ischemic stroke patients.

methodsBaseline CTA scans with an intracranial anterior occlusion from the MR CLEAN study (n=500) were used. For each core lab CS, ten CTA scans with sufficient quality were randomly selected. After a training session in collateral scoring, all selected CTA scans were individually evaluated for a visual CS by three groups: 7 radiologists, 13 junior and 9 senior radiology residents. Two additional radiologists scored CS to be used as reference, with a third providing a CS to produce a 2 out of 3 consensus CS in case of disagreement. An automated algorithm was also used to compute CS. Inter-rater agreement was reported with intraclass correlation coefficient (ICC). Accuracy of visual and automated CS were calculated.

results39 CTA scans were assessed (1 corrupt CTA-scan excluded). All groups showed a moderate ICC (0.689-0.780) in comparison to the reference standard. Overall human accuracy was 65± 7% and increased to 88± 5% for dichotomized CS (0-1, 2-3). Automated CS accuracy was 62%, and 90% for dichotomized CS. No significant difference in accuracy was found between groups with different levels of expertise.

conclusionAfter training, inter-rater reliability in collateral scoring was not influenced by experience. Automated CS performs similar to residents and radiologists in determining a collateral score.

Indexed as

Brain IschemiaIschemic StrokeStrokeArtificial IntelligenceCerebral AngiographyCollateral CirculationHumansReproducibility of ResultsSoftwareAlgorithmsCollateral circulationConsensusIschemic strokeReproducibility of results

Identifiers

PMID35608629
PMCPMC9643213

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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.