Evidence map›Paper›PMID 38625477›Full record

ArticleJapanese journal of radiology2024

Performance of postmortem CT in the diagnosis of natural death from out-of-hospital cardiac arrest.

Yu Nakaki, Wataru Fukumoto, Haruka Higashibori, Ikuo Kawashita, Yuko Nakamura, Kazuo Awai

Abstract read
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Article in Japanese journal of radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yu NakakiDepartment of Diagnostic Radiology, Graduate School of Biomedical and Health Science, Hiroshima University, 1-2-3 Kasumi, Minamiku, Hiroshima, 734-8551, Japan.
Wataru FukumotoDepartment of Diagnostic Radiology, Graduate School of Biomedical and Health Science, Hiroshima University, 1-2-3 Kasumi, Minamiku, Hiroshima, 734-8551, Japan. wfukumoto@hiroshima-u.ac.jp.ORCID http://orcid.org/0000-0001-7645-8446
Haruka HigashiboriDepartment of Diagnostic Imaging, JA Hiroshima General Hospital, 1-3-3 Jigozen, Hatsukaichi-Shi, Hiroshima, 738-0042, Japan.
Ikuo KawashitaDepartment of Diagnostic Radiology, Graduate School of Biomedical and Health Science, Hiroshima University, 1-2-3 Kasumi, Minamiku, Hiroshima, 734-8551, Japan.
Yuko NakamuraDepartment of Diagnostic Radiology, Graduate School of Biomedical and Health Science, Hiroshima University, 1-2-3 Kasumi, Minamiku, Hiroshima, 734-8551, Japan.
Kazuo AwaiDepartment of Diagnostic Radiology, Graduate School of Biomedical and Health Science, Hiroshima University, 1-2-3 Kasumi, Minamiku, Hiroshima, 734-8551, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePostmortem CT (PMCT) is used widely to identify the cause of death. However, its diagnostic performance in cases of natural death from out-of-hospital cardiac arrest (OHCA) may be unsatisfactory because the cause tends to be cardiogenic and cannot be detected on PMCT images. We retrospectively investigated the diagnostic performance of PMCT in the diagnosis of natural death from OHCA and compared it to that of unnatural death. MATERIALS AND

methodsOur series included 450 cases; 336 were natural- and 114 were unnatural death cases. Between 2018 and 2022 all underwent non-contrast PMCT to identify the cause of death. Two radiologists reviewed the PMCT images and categorized them as diagnostic (PMCT alone sufficient to determine the cause of death), suggestive (the cause of death was suggested but additional information was needed), and non-diagnostic (the cause of death could not be determined on PMCT images). The diagnostic performance of PMCT was defined by the percentage of diagnosable and suggestive cases and compared between natural- and unnatural death cases. Interobserver agreement for the cause of death on PMCT images was also assessed with the Cohen kappa coefficient of concordance.

resultsThe diagnostic performance of PMCT for the cause of natural- and unnatural deaths from OHCA was 30.3% and 66.6%, respectively (p < 0.01). The interobserver agreement for the cause of natural- and unnatural deaths on PMCT images was very good with kappa value 0.92 and 0.96, respectively.

conclusionAs PMCT identified the cause of natural death by OHCA in only 30% of cases, its diagnostic performance must be improved.

Indexed as

AutopsyCause of DeathOut-of-Hospital Cardiac ArrestTomography, X-Ray ComputedAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedPostmortem ImagingRetrospective StudiesNatural deathOut-of-hospital cardiac arrestPostmortem CTPostmortem imaging

Identifiers

PMID38625477
PMCPMC11286624

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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.