ArticleLa Radiologia medica2023
Quantification of sarcopenia in patients with rheumatoid arthritis by measuring the cross-sectional area of the thigh muscles with magnetic resonance imaging.
Article in La Radiologia medica, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 9 citations in OpenAlex.
- Insights Into Late-Onset Rheumatoid Arthritis (LORA): Characteristics (Clinical and Imaging), Comorbidities, and Therapeutic Targets.Geriatrics & gerontology international · 2026Review
- Translation, Cross-Cultural Adaptation, and Validation of the Croatian Version of the SARC-F Questionnaire for Assessing Sarcopenia in Older Adults.Healthcare (Basel, Switzerland) · 2026Article
- Transcending aging: disease specificity, assessment challenges, and management strategies for rheumatoid arthritis-related sarcopenia.Frontiers in medicine · 2026Review
- Lower-limb muscle mass quantification and whole-body muscle loss detection using preoperative computed tomography images in patients with hip disease.International journal of computer assisted radiology and surgery · 2025Article
- Development and validation of an interpretable machine learning model for predicting low muscle mass in patients with rheumatoid arthritis: a multicenter study.Frontiers in medicine · 2025Article
- Prognostic Value of Sarcopenia in Elderly Patients with Metastatic Non-Small-Cell Lung Cancer Undergoing Radiotherapy.Current oncology (Toronto, Ont.) · 2024Article
- Development and validation of a predictive model assessing the risk of sarcopenia in rheumatoid arthritis patients.Frontiers in immunology · 2024Article
- Multimodal ultrasound muscle assessment in patients with rheumatic diseases: a patient-based reliability study.Rheumatology advances in practice · 2023Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo determine the utility of cross-sectional area (CSA) measurements on magnetic resonance imaging (MRI), at the level of the thigh muscles, to estimate muscle mass in discriminating rheumatoid arthritis (RA) patients with sarcopenia from those without. MATERIALS AND
methodsConsecutive female RA patients were enrolled for this cross-sectional study. Patients were assessed for disease activity, radiological damage, handgrip strength, physical performance and for the presence of sarcopenia, identified in accordance with the EWGSOP2 criteria. A 1.5 T MRI machine was used to scan the thigh muscles. A dimensional region growth algorithm (Horos™) was used to segment the muscles CSAs (in cm
results32 RA female patients were studied, 34.4% diagnosed as sarcopenic. The mean MRI-CSA-25 was 151.00 cm
conclusionMRI-CSA-25 can differentiate sarcopenic versus non-sarcopenic RA patients, representing an imaging biomarker of this condition.
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