ArticlePloS one2020
MRI-based anatomical characterisation of lower-limb muscles in older women.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- A generalisation study in deep learning-based segmentation of lower-limb muscles across different populations.Scientific reports · 2026Article
- Intra- and inter-rater reliability of skeletal muscle mass MRI assessment among adults: a systematic review.Quantitative imaging in medicine and surgery · 2026Review
- Limb muscle mass and phase angle asymmetry in 8-year-old children.Scientific reports · 2025Article
- EMG-Informed Neuromusculoskeletal Simulations Increase the Accuracy of the Estimation of Knee Joint Contact Forces During Sub-optimal Level Walking.Annals of biomedical engineering · 2025Article
- Thigh muscle features in female patients with severe knee osteoarthritis: a cross-sectional study.BMC musculoskeletal disorders · 2025Article
- Implications of variability in triceps surae muscle volumes on peak lower limb muscle forces during human walking.PloS one · 2025Article
- The Effect of Thigh Muscle Forces on Knee Contact Force in Female Patients with Severe Knee Osteoarthritis.Bioengineering (Basel, Switzerland) · 2024Article
- Lower limb joint loading during high-impact activities: implication for bone health.JBMR plus · 2024Article
- A novel mean shape based post-processing method for enhancing deep learning lower-limb muscle segmentation accuracy.PloS one · 2024Article
- Effect of Muscle Forces on Femur During Level Walking Using a Virtual Population of Older Women.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Automatic segmentation of lower limb muscles from MR images of post-menopausal women based on deep learning and data augmentation.PloS one · 2024Article
- Automatic segmentation of skeletal muscles from MR images using modified U-Net and a novel data augmentation approach.Frontiers in bioengineering and biotechnology · 2024Article
- Article
- Towards defining muscular regions of interest from axial magnetic resonance imaging with anatomical cross-reference: a scoping review of lateral hip musculature.BMC musculoskeletal disorders · 2022Article
- Uncertainty in Muscle-Tendon Parameters can Greatly Influence the Accuracy of Knee Contact Force Estimates of Musculoskeletal Models.Frontiers in bioengineering and biotechnology · 2022Article
- Femoral neck strain prediction during level walking using a combined musculoskeletal and finite element model approach.PloS one · 2021Article
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Authors and funding
6 authors.
Funding
Abstract
The ability of muscles to produce force depends, among others, on their anatomical features and it is altered by ageing-associated weakening. However, a clear characterisation of these features, highly relevant for older individuals, is still lacking. This study hence aimed at characterising muscle volume, length, and physiological cross-sectional area (PCSA) and their variability, between body sides and between individuals, in a group of post-menopausal women. Lower-limb magnetic resonance images were acquired from eleven participants (69 (7) y. o., 66.9 (7.7) kg, 159 (3) cm). Twenty-three muscles were manually segmented from the images and muscle volume, length and PCSA were calculated from this dataset. Personalised maximal isometric force was then calculated using the latter information. The percentage difference between the muscles of the two lower limbs was up to 89% and 22% for volume and length, respectively, and up to 84% for PCSA, with no recognisable pattern associated with limb dominance. Between-subject coefficients of variation reached 36% and 13% for muscle volume and length, respectively. Generally, muscle parameters were similar to previous literature, but volumes were smaller than those from in-vivo young adults and slightly higher than ex-vivo ones. Maximal isometric force was found to be on average smaller than those obtained from estimates based on linear scaling of ex-vivo-based literature values. In conclusion, this study quantified for the first time anatomical asymmetry of lower-limb muscles in older women, suggesting that symmetry should not be assumed in this population. Furthermore, we showed that a scaling approach, widely used in musculoskeletal modelling, leads to an overestimation of the maximal isometric force for most muscles. This heavily questions the validity of this approach for older populations. As a solution, the unique dataset of muscle segmentation made available with this paper could support the development of alternative population-based scaling approaches, together with that of automatic tools for muscle segmentation.
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