Evidence map›Paper›PMID 30496307›Full record

ArticlePloS one2018

High correlation of temporal muscle thickness with lumbar skeletal muscle cross-sectional area in patients with brain metastases.

Johannes Leitner, Sebastian Pelster, Veronika Schöpf, Anna S Berghoff, Ramona Woitek, Ulrika Asenbaum, Karl-Heinz Nenning, Georg Widhalm, Barbara Kiesel, Brigitte Gatterbauer and 5 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05456399 (A Novel/Common Approach for Temporalis Muscle Thickness Measurement), which is not on this map. Cited by 68 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 2 pooled it
7.2field-weighted citation impact, top 2% 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.

NCT05456399 completednot on this mapstarted 2022, after this paper: background citation

A Novel/Common Approach for Temporalis Muscle Thickness Measurement: Reliability and Agreement Study

TypeobservationalSponsorBozyaka Training and Research HospitalRan2022 to 2023Enrolled60ConditionsSarcopenia, Stroke
3 · Its place in the literature

Who cites it

68 citing papers in PubMed, 2 syntheses or guidelines pooled it, 111 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Temporalis muscle biomarkers from routine brain MRI and risk of dementia in two independent cohorts.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
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  11. Evaluation of temporal muscle thickness in subjects with acromegaly: a follow-up study.Therapeutic advances in endocrinology and metabolism · 2026
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  12. Review
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  16. Two-arm study of sarcopenia in geriatric patients with high-grade glial tumors: temporal muscle thickness and prognostic nutritional index.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Article
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  18. Deep-learning-derived neuroimaging biomarkers of sarcopenia as predictors of outcome in endovascular thrombectomy in large vessel occlusion acute ischemic stroke.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2025
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8 more citing papers are in PubMed but not listed here.

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

15 authors at 3 institutions in 1 country.

Johannes LeitnerDepartment of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
Sebastian PelsterDepartment of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
Veronika SchöpfInstitute of Psychology, University of Graz, Graz, Austria.ORCID 0000-0003-1937-4216
Anna S BerghoffDepartment of Medicine I, Medical University of Vienna, Vienna, Austria.
Ramona WoitekDepartment of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
Ulrika AsenbaumDepartment of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
Karl-Heinz NenningComputational Imaging Research Lab Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
Georg WidhalmComprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
Barbara KieselComprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
Brigitte GatterbauerComprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
Karin DieckmannComprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
Peter BirnerComprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
Daniela PrayerDepartment of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
Matthias PreusserDepartment of Medicine I, Medical University of Vienna, Vienna, Austria.
Julia FurtnerDepartment of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.ORCID 0000-0001-8258-3681
Comprehensive Cancer Center Vienna · ATMedical University of Vienna · ATUniversity of Graz · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to assess the correlation of temporal muscle thickness (TMT), measured on routine cranial magnetic resonance (MR) images, with lumbar skeletal muscles obtained on computed tomography (CT) images in brain metastasis patients to establish a new parameter estimating skeletal muscle mass on brain MR images.

methodsWe retrospectively analyzed the cross-sectional area (CSA) of skeletal muscles at the level of the third lumbar vertebra on computed tomography scans and correlated these values with TMT on MR images of the brain in two independent cohorts of 93 lung cancer and 61 melanoma patients (overall: 154 patients) with brain metastases.

resultsPearson correlation revealed a strong association between mean TMT and CSA in lung cancer and melanoma patients with brain metastases (0.733; p<0.001). The two study cohorts did not differ significantly in patient characteristics, including age (p = 0.661), weight (p = 0.787), and height (p = 0.123). However, TMT and CSA measures differed significantly between male and female patients in both lung cancer and melanoma patients with brain metastases (p<0.001).

conclusionOur data indicate that TMT, measured on routine cranial MR images, is a useful surrogate parameter for the estimation of skeletal muscle mass in patients with brain metastases. Thus, TMT may be useful for prognostic assessment, treatment considerations, and stratification or a selection factor for clinical trials in patients with brain metastases. Further studies are needed to assess the association between TMT and clinical frailty parameters, and the usefulness of TMT in patients with primary brain tumors.

Indexed as

Lumbar VertebraeBrain NeoplasmsCross-Sectional StudiesFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedMuscle, SkeletalRetrospective StudiesTomography, X-Ray Computed

Identifiers

PMID30496307
PMCPMC6264824
OpenAlexW2902154678

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Registered trials

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.