ArticleAge and ageing2022
Ultrasound-derived muscle assessment system for older adults: a promising muscle mass estimation tool.
Article in Age and ageing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Muscle ultrasound to diagnose sarcopenia in chronic kidney disease: a systematic review and bayesian bivariate meta-analysis.BMC nephrology · 2024Pooled it
- Electroacupuncture combined with nutritional intervention for gastrointestinal cancer-related sarcopenia: a randomized controlled trial using ultrasonographic indices.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Trial
- Combined Protein, Probiotics, and Exercise Therapy for Sarcopenia: A Comprehensive Review.Cells · 2025Review
- Diagnosis of Sarcopenia Using Convolutional Neural Network Models Based on Muscle Ultrasound Images: Prospective Multicenter Study.Journal of medical Internet research · 2025Article
- Concordance of Freehand 3D Ultrasound Muscle Measurements With Sarcopenia Parameters in a Geriatric Rehabilitation Ward.Journal of cachexia, sarcopenia and muscle · 2025Article
- Consistency of Ultrasound Measurements of Fat Thickness in Different Postures.Current medical imaging · 2025Article
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Authors and funding
7 authors.
Funding
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Abstract
backgroundQuantitative assessment of muscle mass is a critical step in sarcopenia disease management. Expanding upon the use of ultrasound in foetal growth assessment, we established and validated an ultrasound-derived muscle assessment system for older adults at a risk of sarcopenia.
methodsA total of 669 older adults were recruited in three cohorts in this cross-sectional study. In cohort 1(n = 103), the most valuable sites for skeletal muscle mass index (SMI) estimation were located among 11 ultrasound scanning sites. An ultrasound-derived SMI estimating algorithm based on muscle thickness (MT) was obtained in the modelling group composed of cohorts 1 and 2 (n = 309). The reliability of the muscle mass estimation equation and the validity of the obtained cut-off values were verified in cohort 3 (n = 257), which was selected as the verification group.
resultsIn the modelling group, the cut-off values of ultrasound-derived e-SMI for low SMI were 7.13 kg/m2 for men and 5.81 kg/m2 for women. In the verification group, the intraclass correlation between e-SMI and SMI was 0.885. The sensitivity of the e-SMI in detecting low SMI was 93.6% for men and 89.7% for women, and the negative predictive value was 94.9% for men and 94.7% for women. Combined with the handgrip strength and gait speed, the e-SMI had an overall diagnostic sensitivity of 92.7% and a specificity of 91.0% for sarcopenia.
conclusionThe ultrasound-derived muscle assessment system can be a promising muscle mass estimation tool and a potential disease classification tool.
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