Evidence map›Paper›PMID 36548534›Full record

ArticleTomography (Ann Arbor, Mich.)2022

Diagnostic Accuracy and Reliability of Noncontrast Computed Tomography Markers for Acute Hematoma Expansion among Radiologists.

Hawra Almubarak, Sarah Elsayed, Federico Mazzacane, Frieder Schlunk, Haoyin Cao, Ly Huong Vu, Estelle Vogt, Andrea Dell Orco, Dmitriy Desser, Maik F H Böhmer and 6 more

Open access · goldAbstract read
In one paragraph

Article in Tomography (Ann Arbor, Mich.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
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

16 authors at 6 institutions in 3 countries.

Hawra AlmubarakDepartment of Radiology (CCM), Berlin Institute of Health, Charité-Universitätsmedizin Berlin, Campus Mitte, Humboldt-Universität zu Berlin, Freie Universität Berlin, 10117 Berlin, Germany.
Sarah ElsayedDepartment of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg Eppendorf, 20251 Hamburg, Germany.
Federico MazzacaneDepartment of Brain and Behavioral Sciences, University of Pavia, 27100 Pavia, Italy.ORCID 0000-0002-2224-8002
Frieder SchlunkDepartment of Neuroradiology (CCM), Berlin Institute of Health, Charité-Universitätsmedizin Berlin, Campus Mitte, Humboldt-Universität zu Berlin, Freie Universität Berlin, 10117 Berlin, Germany.
Haoyin CaoDepartment of Radiology (CCM), Berlin Institute of Health, Charité-Universitätsmedizin Berlin, Campus Mitte, Humboldt-Universität zu Berlin, Freie Universität Berlin, 10117 Berlin, Germany.
Ly Huong VuDepartment of Radiology (CCM), Berlin Institute of Health, Charité-Universitätsmedizin Berlin, Campus Mitte, Humboldt-Universität zu Berlin, Freie Universität Berlin, 10117 Berlin, Germany.
Estelle VogtDepartment of Radiology (CCM), Berlin Institute of Health, Charité-Universitätsmedizin Berlin, Campus Mitte, Humboldt-Universität zu Berlin, Freie Universität Berlin, 10117 Berlin, Germany.
Andrea Dell OrcoDepartment of Neuroradiology (CCM), Berlin Institute of Health, Charité-Universitätsmedizin Berlin, Campus Mitte, Humboldt-Universität zu Berlin, Freie Universität Berlin, 10117 Berlin, Germany.
Dmitriy DesserDepartment of Neuroradiology (CCM), Berlin Institute of Health, Charité-Universitätsmedizin Berlin, Campus Mitte, Humboldt-Universität zu Berlin, Freie Universität Berlin, 10117 Berlin, Germany.
Maik F H BöhmerDepartment of Radiology, University Hospital Muenster, 48149 Muenster, Germany.
Burak Han AkkurtDepartment of Radiology, University Hospital Muenster, 48149 Muenster, Germany.
Peter B SpornsDepartment of Neuroradiology, Clinic for Radiology and Nuclear Medicine, University Hospital Basel, 4031 Basel, Switzerland.ORCID 0000-0002-3028-0539
Tobias PenzkoferBerlin Institute of Health (BIH), BIH Biomedical Innovation Academy, 10117 Berlin, Germany.
Uta HanningDepartment of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg Eppendorf, 20251 Hamburg, Germany.
Andrea MorottiNeurology Unit, Department of Neurological Sciences and Vision, ASST-Spedali Civili, 25123 Brescia, Italy.
Jawed NawabiDepartment of Radiology (CCM), Berlin Institute of Health, Charité-Universitätsmedizin Berlin, Campus Mitte, Humboldt-Universität zu Berlin, Freie Universität Berlin, 10117 Berlin, Germany.ORCID 0000-0002-1137-0643
Humboldt-Universität zu Berlin · DEUniversität Hamburg · DEUniversity Hospital Münster · DEAzienda Socio Sanitaria Territoriale degli Spedali Civili di Brescia · ITUniversity Hospital of Basel · CHUniversity of Pavia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNoncontrast Computed Tomography (NCCT) features are promising markers for acute hematoma expansion (HE) in patients with intracerebral hemorrhage (ICH). It remains unclear whether accurate identification of these markers is also reliable in raters with different levels of experience.

methodsPatients with acute spontaneous ICH admitted at four tertiary centers in Germany and Italy were retrospectively included from January 2017 to June 2020. In total, nine NCCT markers were rated by one radiology resident, one radiology fellow, and one neuroradiology fellow with different levels experience in ICH imaging. Interrater reliabilities of the resident and radiology fellow were evaluated by calculated Cohen's kappa (κ) statistics in reference to the neuroradiology fellow who was referred as the gold standard. Gold-standard ratings were evaluated by calculated interrater κ statistics. Global interrater reliabilities were evaluated by calculated Fleiss kappa statistics across all three readers. A comparison of receiver operating characteristics (ROCs) was used to evaluate differences in the diagnostic accuracy for predicting acute hematoma expansion (HE) among the raters.

resultsSubstantial-to-almost-perfect interrater concordance was found for the resident with interrater Cohen's kappa from 0.70 (95% CI 0.65-0.81) to 0.96 (95% CI 0.94-0.98). The interrater Cohen's kappa for the radiology fellow was moderate to almost perfect and ranged from 0.58 (95% CI 0.52-0.65) to 94 (95% CI 92-0.97). The intrarater gold-standard Cohen's kappa was almost perfect and ranged from 0.79 (95% CI 0.78-0.90) to 0.98 (95% CI 0.78-0.90). The global interrater Fleiss kappa ranged from 0.62 (95%CI 0.57-0.66) to 0.93 (95%CI 0.89-0.97). The diagnostic accuracy for the prediction of acute hematoma expansion (HE) was different for the island sign and fluid sign, with

conclusionThe NCCT markers had a substantial-to-almost-perfect interrater agreement among raters with different levels of experience. Differences in the diagnostic accuracy for the prediction of acute HE were found in two out of nine NCCT markers. The study highlights the promising utility of NCCT markers for acute HE prediction.

Indexed as

Cerebral HemorrhageTomography, X-Ray ComputedHematomaHumansRadiologistsReproducibility of ResultsRetrospective Studiesintracerebral hemorrhagelevel of experienceNCCT markerreliability

Identifiers

PMID36548534
PMCPMC9785236
OpenAlexW4312000414

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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.