Evidence map›Paper›PMID 32742957›Full record

ReviewQuantitative imaging in medicine and surgery2020

MRI in the assessment of adipose tissues and muscle composition: how to use it.

Florian Alexander Huber, Filippo Del Grande, Stefania Rizzo, Giuseppe Guglielmi, Roman Guggenberger

Abstract readReview
In one paragraph

Review in Quantitative imaging in medicine and surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 4 pooled it
–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

59 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  12. Degeneration of paraspinal and gluteus medius muscles in nonspecific chronic low back pain: a quantitative MRI study.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
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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

5 authors.

Florian Alexander HuberInstitute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland.
Filippo Del GrandeIstituto di imaging della Svizzera Italiana, Regional Hospital of Lugano, Lugano, Switzerland.
Stefania RizzoIstituto di imaging della Svizzera Italiana, Regional Hospital of Lugano, Lugano, Switzerland.
Giuseppe GuglielmiDepartment of Radiology, University of Foggia, Foggia, Italy.
Roman GuggenbergerInstitute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Body composition analysis based on the characterization of different tissue compartments is currently experiencing increasing attention by a broad range of medical disciplines for both clinical and research questions. However, body composition profiling (BCP) can be performed utilizing different modalities, which all come along with several technical and diagnostic strengths and limitations, respectively. Magnetic resonance imaging (MRI) demonstrates good soft tissue resolution, high contrast between fat and water, and is free from ionizing radiation. This review article represents an overview of imaging techniques for body composition assessment, focussing on qualitative and quantitative methods of assessing adipose tissue and muscles in MRI.

Indexed as

body compositionMagnetic resonance imaging (MRI)musculoskeletal system

Identifiers

PMID32742957
PMCPMC7378099

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.