Evidence map›Paper›PMID 42428272›Full record

ArticleFrontiers in medicine2026

Association of MRI-derived muscle-fat composition with knee osteoarthritis severity: a gender-stratified X-ray and MRI correlation study.

Mohammad Al-Harbi, Anas Hamdoun, Zuhal Y Hamd, Shaden Alhegail, Ammar Mallisho, Razan Salih, Mohamed Abuzaid, Wiam Elshami

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Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Mohammad Al-HarbiInternal Medicine Department, College of Medicine, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
Anas HamdounDepartment of Medical Imaging, King Abdullah Bin Abdul-Aziz University Hospital, Riyadh, Saudi Arabia.
Zuhal Y HamdDepartment of Radiological Sciences, College of Health and Rehabilitation Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
Shaden AlhegailDepartment of Medical Imaging, King Abdullah Bin Abdul-Aziz University Hospital, Riyadh, Saudi Arabia.
Ammar MallishoDepartment of Medical Imaging, King Abdullah Bin Abdul-Aziz University Hospital, Riyadh, Saudi Arabia.
Razan SalihDepartment of Medical Imaging, King Abdullah Bin Abdul-Aziz University Hospital, Riyadh, Saudi Arabia.
Mohamed AbuzaidDepartment of Medical Diagnostic Imaging, College of Health Sciences, University of Sharjah, Sharjah, United Arab Emirates.
Wiam ElshamiDepartment of Medical Diagnostic Imaging, College of Health Sciences, University of Sharjah, Sharjah, United Arab Emirates.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Knee osteoarthritis (OA) is a common musculoskeletal disorder characterized by the progressive degradation of articular cartilage, along with changes in surrounding soft tissues and bone structures. The knee joint is particularly susceptible to osteoarthritic changes, resulting in pain, functional impairment, and a significant decline in the quality of life for affected individuals. Plain radiography and MRI are considered the standards imaging modalities for diagnosis. Aim: This research aims to explore the correlation between soft tissue changes and the severity of knee OA, utilizing both traditional plain radiographs and advanced MRI techniques. The study also focuses on gender differences to provide insights into potential modifiable risk factors and therapeutic targets. Methods: A total of 232 patients underwent knee MRI and X-ray imaging for various clinical indications. Radiographs were classified according to the Kellgren-Lawrence scale, while MR images were used to assess body composition and degenerative changes in the knee. Results: Among the 232 participants, 54.7% were female and 45.3% were male, with most aged 30-44 years and categorized as obese (44.8%). The data revealed that muscle thickness remained consistent across BMI categories, with males generally exhibiting higher values than females. Fat thickness increased with higher BMI categories, with females consistently showing greater values than males. The muscle-to-fat ratio decreased as BMI increased, with males having higher ratio in the normal BMI category compared to females. Pearson's correlation indicated that muscle to fat ratio has a weak negative correlation with soft tissue degenerative changes, and cartilage degenerative changes. Cohen's Kappa coefficient analysis revealed fair agreement between binary classifications derived from X-ray and MRI findings. The McNemar's test indicated a statistically significant difference in detection capabilities between the two techniques. Conclusion: The muscle-to-fat ratio and fat thickness significantly impact knee degenerative changes, particularly in females. This underscores the necessity for targeted interventions aimed at reducing fat thickness while preserving muscle thickness to enhance overall health outcomes. Although X-rays exhibit higher sensitivity, they have lower specificity compared to MRI; both diagnostic methods improve in accuracy as disease severity increases. The combination of MRI and X-ray further enhances the diagnostic accuracy for knee OA.

Indexed as

body compositioncartilage degenerationKellgren-Lawrence gradingknee osteoarthritismagnetic resonance imagingmuscle-to-fat ratioradiographysoft tissue changes

Identifiers

PMID42428272
PMCPMC13347785

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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.