ReviewQuantitative imaging in medicine and surgery2024
Muscle fat infiltration: a narrative review of the magnetic resonance (MR)-based evaluation methods and their clinical applications.
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.
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.
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.
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Who cites it
7 citing papers in PubMed.
- Preoperative magnetic resonance imaging biomarkers of soft tissue injury and their association with postoperative outcomes in intertrochanteric femoral fractures: A retrospective study.International orthopaedics · 2026Article
- Quantitative MRI of core muscles at different activity levels: muscle-specific metrics and composite core fat fraction and lean-volume scores.Skeletal radiology · 2026Article
- Quantitative MRI assessment of paraspinal muscles and the psoas: associations with low back pain.Quantitative imaging in medicine and surgery · 2026Article
- Myosteatosis: Epidemiological Insights, Functional Decline, and Diagnostic Advances.Current obesity reports · 2025Review
- Analysis of the association between lumbar paraspinal muscle atrophy, facet joint degeneration, and degenerative lumbar scoliosis.European journal of medical research · 2025Article
- Characteristics of paraspinal muscle in asymptomatic population with pelvic anteversion: correlation between bony alignment and paraspinal muscle.Journal of orthopaedic surgery and research · 2025Article
- Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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What Socratic holds
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 Socratic graph.