Evidence map›Paper›PMID 42182934›Full record

ArticleFrontiers in radiology2026

Intravenous contrast medium impairs CT-based muscle quality but not quantity assessment: a translational study.

Luca Salhöfer, Gregor Jost, Mathias Holtkamp, Jannis Straus, Marcel Opitz, Sebastian Zensen, Rene Hosch, Johannes Harmes, Lale Umutlu, Michael Forsting and 3 more

Abstract read
In one paragraph

Article in Frontiers in radiology, 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

13 authors.

Luca SalhöferInstitute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.
Gregor JostMR & CT Contrast Media Research, Bayer AG, Berlin, Germany.
Mathias HoltkampInstitute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany.
Jannis StrausInstitute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.
Marcel OpitzInstitute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.
Sebastian ZensenInstitute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.
Rene HoschInstitute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.
Johannes HarmesInstitute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.
Lale UmutluInstitute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.
Michael ForstingInstitute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.
Felix NensaInstitute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.
Hubertus PietschMR & CT Contrast Media Research, Bayer AG, Berlin, Germany.
Johannes HauboldInstitute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: CT-based body composition analysis (BCA) provides imaging biomarkers, including muscle volume and surrogates of muscle quality. Concerns over the comparability of Non-contrast and contrast-enhanced CT scans have limited their clinical application. This study aims to assess the influence of various contrast phases on a volumetric CT-based BCA. Materials and methods: 20 Göttingen minipigs were subjected to a Non-contrast (NC) and five contrast-enhanced [Early Arterial, Late Arterial, Vascular Portal Venous, Parenchymal Portal Venous (PPV), Late] CT scans. 114 tri-phasic (Non-Contrast, Arterial, Venous) CT scans were analyzed for human validation. A volumetric BCA network [Body and Organ Analysis (BOA)] extracted muscle radiodensity and the following features as volumes: Muscle, Subcutaneous Adipose Tissue (SAT), Inter- and Intramuscular Adipose Tissue (IMAT), Visceral Adipose Tissue (VAT), and Total Adipose Tissue (TAT). Significance was assessed by a one-way ANOVA with Tukey's multiple comparisons test. Results: In the animal model, there was a tendency toward reduced IMAT volumes after CM injection [NC = 245 ml (±105 ml), e.g., PPV = 241 ml (±105 ml)]. Muscle radiodensity was significantly higher following CM administration [Non-contrast: 51.1 HU (±1.9 HU), e.g., Late: 56.6 HU (±2.4 HU), Conclusion: Myosteatosis surrogates, such as muscle radiodensity or IMAT, are susceptible to interference by CM, while quantification of muscle tissue and extramuscular fat remains robust.

Indexed as

body composition analysiscontrast mediumCT imagingmyosteatosisopportunistic screeningsarcopeniasegmentation

Identifiers

PMID42182934
PMCPMC13195011

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.