Evidence map›Paper›PMID 41624553›Full record

ArticleEuropean journal of radiology open2026

Muscle and fat matter: Automated CT-based body composition analysis predicts survival in

Hannah L Steinberg-Vorhoff, Anneke Ketelsen, Tabea Schuch, Jens M Theysohn, Benedikt M Schaarschmidt, Johannes Haubold, Farroch Vahidi Noghani, Matthias Jeschke, Leonie Jochheim, Johannes M Ludwig

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In one paragraph

Article in European journal of radiology open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Hannah L Steinberg-VorhoffDepartment of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, University of Duisburg-Essen, Hufelandstraße. 55, Essen 45147, Germany.
Anneke KetelsenDepartment of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, University of Duisburg-Essen, Hufelandstraße. 55, Essen 45147, Germany.
Tabea SchuchDepartment of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, University of Duisburg-Essen, Hufelandstraße. 55, Essen 45147, Germany.
Jens M TheysohnDepartment of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, University of Duisburg-Essen, Hufelandstraße. 55, Essen 45147, Germany.
Benedikt M SchaarschmidtDepartment of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, University of Duisburg-Essen, Hufelandstraße. 55, Essen 45147, Germany.
Johannes HauboldDepartment of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, University of Duisburg-Essen, Hufelandstraße. 55, Essen 45147, Germany.
Farroch Vahidi NoghaniDepartment of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, Mannheim 68167, Germany.
Matthias JeschkeDepartment of Gastroenterology and Hepatology, University Hospital Essen, University of Duisburg-Essen, Hufelandstr. 55, Essen 45147, Germany.
Leonie JochheimDepartment of Gastroenterology and Hepatology, University Hospital Essen, University of Duisburg-Essen, Hufelandstr. 55, Essen 45147, Germany.
Johannes M LudwigDepartment of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, Mannheim 68167, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to assess the prognostic significance of pretreatment CT-based body composition markers in patients with Material and methods: Automated analysis of baseline CT scans was performed to retrospectively evaluate body composition (BCA) parameters in 198 patients from a prospective registry database, including skeletal muscle (SM) and bone (B) volumes. BCA parameters and ratios were dichotomized using a maximally selected log-rank approach. Kaplan-Meier and uni- (UVA) and multivariate (MVA) Cox-proportional-hazard ratio (HR) survival analyses were performed. Results: The median survival time was 18.5 months. In UVA, lower BCLC stage, ≦ 70 years of age, normal serum albumin, non-elevated C-reactive protein, normal aspartate aminotransferase (ASAT), normal alkaline phosphatase, normal gamma-glutamyl transaminase (GGT), absence of portal vein thrombosis and various BCA parameters were statistically significant with the skeletal muscle to bone ratio (SM/B) demonstrating the strongest survival discrimination with a median survival of 23.6 months for high and 12.0 months for low SM/B (HR: 0.65, 95 %CI: 0.46-0.9; p = 0.0001). In MVA, SM/B, BCLC stage, ASAT, and GGT remained independently significant. Patients with higher SM/B ratios demonstrated a significantly higher disease control rate during the initial imaging follow-up after three months (74.4 % vs. 54.0 %, p = 0.017). Conclusion: These findings suggest that fully automated, CT-based measurement of BCA parameters - particularly the SM/B ratio - can serve as an independent prognostic factor for survival and disease control in patients with

Indexed as

BCAHCCRadioembolizationSIRT

Identifiers

PMID41624553
PMCPMC12856858

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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.