Evidence mapPaperPMID 39698678Full record

ReviewQuantitative imaging in medicine and surgery2024

Muscle fat infiltration: a narrative review of the magnetic resonance (MR)-based evaluation methods and their clinical applications.

Ayman Assi, Bilal Ramadan, Mohamad Karam, Julien Rouyer, Anca Mitulescu, Sophie Campana

Abstract readReview
In one paragraph

Review in Quantitative imaging in medicine and surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. 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

6 authors.

Ayman Assi *Faculty of Medicine, Saint Joseph University of Beirut, Beirut, Lebanon.ORCID https://orcid.org/0000-0002-3582-9420
Bilal Ramadan *Faculty of Medicine, Saint Joseph University of Beirut, Beirut, Lebanon.
Mohamad KaramFaculty of Medicine, Saint Joseph University of Beirut, Beirut, Lebanon.
Julien RouyerOlea Medical, La Ciotat, France.
Anca MitulescuOlea Medical, La Ciotat, France.
Sophie CampanaOlea Medical, La Ciotat, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objective: Muscle fat infiltration (MFI) can be seen in several pathologies of various origin including neuromuscular, endocrinological, or musculoskeletal etiologies. Its evaluation is possible through medical imaging, especially MRI, using qualitative or quantitative methods. This paper is an overview of the techniques used to evaluate MFI in different pathologies. Methods: The literature search was performed on the PubMed database for articles published in English between 2010 and end of January 2023. The keywords used were: (Fat infiltration of the muscle) AND magnetic resonance imaging (MRI). In total, 159 articles were included. Key Content and Findings: Qualitative methods of MFI evaluation represented 20% of the studies, with the Goutallier classification being the most used, especially in the setting of rotator cuff tears. Quantitative methods were used in most studies (80%), with the Dixon technique being the most adopted. The evaluation of MFI was used for the assessment of endocrinological, neuromuscular and musculoskeletal disorders. Spinal pathologies, including low back pain and spinal deformities, were the most represented (44% of the studies). Conclusions: This review shows the importance of automated MFI calculation using MRI to monitor the progression of diseases, assess the effect of treatments, or predict post-surgical complications such as in the setting of adult spinal deformity. This review also showed the importance of automation of MFI assessment, particularly using the Dixon technique, to make its use easier in clinical settings and open MFI assessment applications to other diseases.

Indexed as

fat infiltrationmagnetic resonance imaging (MRI)Musclequalitativequantitative

Identifiers

PMID39698678
PMCPMC11651973

What Socratic 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 Socratic graph.