Evidence map›Paper›PMID 42192137›Full record

ArticleScientific reports2026

Potential utility of postmortem CT-based classification as a practical pre-autopsy assessment tool for hepatic steatosis.

Ji-Hwan Park, Ji Su Han, Hyeong-Geon Kim, Jong-In Na

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Ji-Hwan ParkDepartment of Forensic Medicine, National Forensic Service Seoul Institute, Seoul, 08063, Republic of Korea. hbpjh1206@korea.kr.
Ji Su HanDepartment of Forensic Medicine, National Forensic Service Seoul Institute, Seoul, 08063, Republic of Korea.
Hyeong-Geon KimDepartment of Forensic Medicine, National Forensic Service Daejeon Institute, Daejeon, 34054, Republic of Korea.
Jong-In NaDepartment of Forensic Medicine, National Forensic Service Seoul Institute, Seoul, 08063, Republic of Korea. minitelll@korea.kr.

Funding

National Forensic Service NFS2025STR03, NFS2025MED01
6 · The paper itself

Abstract

This study aimed to establish postmortem computed tomography (PMCT)-specific Hounsfield unit (HU) criteria and developed an HU-based assessment tool for pre-autopsy triage of hepatic steatosis. Overall, 166 deceased individuals underwent whole-body PMCT followed by autopsy with liver histopathology. Hepatic attenuation was measured as a volumetric mean HU of the entire liver and as a four-point mean HU. No significant difference was noted between the volumetric and four-point mean HU (p = 0.183). However, the four-point mean HU differed significantly across histological steatosis grades (p < 0.001) and decreased with increasing severity, although the difference between mild and moderate steatosis was non-significant (p = 0.981). Receiver operating characteristic analysis indicated an optimal cutoff of 42.59 HU (sensitivity 60.7%, specificity 86.1%), from which three HU-based categories were defined (≥ 44.5 HU: normal; 42.0-44.4 HU: borderline; <42.0 HU: suspected steatosis). In the validation cohort (n = 104), the tool achieved an accuracy of 0.865, sensitivity of 0.756, specificity of 0.949, precision of 0.919, and F1-score of 0.829. This three-category PMCT HU-based classification system provides a practical tool for the triage of hepatic steatosis. The high specificity and precision support its use as a rule-in aid to prioritize suspected steatosis cases and improve autopsy workflow efficiency.

Indexed as

Fatty LiverTomography, X-Ray ComputedAdultAgedAged, 80 and overAutopsyFemaleHumansLiverMaleMiddle AgedPostmortem ImagingROC CurveAutopsyForensic medicineHepatic steatosisHistologyPostmortem computed tomography

Identifiers

PMID42192137
PMCPMC13439455

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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.