Evidence map›Paper›PMID 30533385›Full record

ReviewJournal of orthopaedic translation2018

Quantitative analysis of skeletal muscle by computed tomography imaging-State of the art.

Klaus Engelke, Oleg Museyko, Ling Wang, Jean-Denis Laredo

Open access · goldAbstract readReview
In one paragraph

Review in Journal of orthopaedic translation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 166 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
166citing papers in PubMed, 5 pooled it
9.8field-weighted citation impact, top 1% 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.

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

166 citing papers in PubMed, 5 syntheses or guidelines pooled it, 228 citations in OpenAlex.

  1. Pooled it
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  3. Is fatty infiltration in paraspinal muscles reversible with exercise in people with low back pain? A systematic review.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 · 2023
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106 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

4 authors at 3 institutions in 3 countries.

Klaus EngelkeFAU, Department of Medicine 3, University Hospital, Erlangen, Germany.
Oleg MuseykoFriedrich-Alexander University Erlangen-Nuremberg, Institute of Medical Physics, Erlangen, Germany.
Ling WangDepartment of Radiology, Beijing Jishuitan Hospital, Beijing, China.
Jean-Denis LaredoAP-HP, Department of Radiology, Hôpital Lariboisière, Assistance Publique des Hôpitaux de Paris & Université Paris Diderot, Paris, France.
Friedrich-Alexander-Universität Erlangen-Nürnberg · DEPeking University · CNUniversité Paris Cité · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The radiological assessment of muscle properties-size, mass, density (also termed radiodensity), composition, and adipose tissue infiltration-is fundamental in muscle diseases. More recently, it also became obvious that muscle atrophy, also termed muscle wasting, is caused by or associated with many other diseases or conditions, such as inactivity, malnutrition, chronic obstructive pulmonary disorder, cancer-associated cachexia, diabetes, renal and cardiac failure, and sarcopenia and even potentially with osteoporotic hip fracture. Several techniques have been developed to quantify muscle morphology and function. This review is dedicated to quantitative computed tomography (CT) of skeletal muscle and only includes a brief comparison with magnetic resonance imaging. Strengths and limitations of CT techniques are discussed in detail, including CT scanner calibration, acquisition and reconstruction protocols, and the various quantitative parameters that can be measured with CT, starting from simple volume measures to advanced parameters describing the adipose tissue distribution within muscle. Finally, the use of CT in sarcopenia and cachexia and the relevance of muscle parameters for the assessment of osteoporotic fracture illustrate the application of CT in two emerging areas of medical interest.

Indexed as

Adipose tissueComputed tomographyFat infiltrationMuscleMuscle density

Identifiers

PMID30533385
PMCPMC6260391
OpenAlexW2898146684

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.