MRI-based anatomical characterisation of lower-limb muscles in older women

Montefiori, Erica; Kalkman, Barbara M.; Henson, William H; Paggiosi, Margaret; McCloskey, Eugène; Mazzà, Claudia

doi:10.1371/journal.pone.0242973

Cited by 10 publications

(45 citation statements)

References 45 publications

(104 reference statements)

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“…Exclusion criteria were: body mass index (BMI) <18 or >35, history of or current conditions known to affect bone metabolism and bone mineral density, history of or current neurological disorders, prescription of oral corticosteroids for more than three months within the last year, history of any long term immobilization (>3 months), conditions that prevent the acquisition of musculoskeletal images, use of medications or treatment known to affect bone metabolism other than calcium/vitamin D supplementation and alcohol intake greater than 21 units per week [ 28 ].…”

Section: Methodsmentioning

confidence: 99%

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Femoral neck strain prediction during level walking using a combined musculoskeletal and finite element model approach

et al. 2021

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Recently, coupled musculoskeletal-finite element modelling approaches have emerged as a way to investigate femoral neck loading during various daily activities. Combining personalised gait data with finite element models will not only allow us to study changes in motion/movement, but also their effects on critical internal structures, such as the femur. However, previous studies have been hampered by the small sample size and the lack of fully personalised data in order to construct the coupled model. Therefore, the aim of this study was to build a pipeline for a fully personalised multiscale (body-organ level) model to investigate the strain levels at the femoral neck during a normal gait cycle. Five postmenopausal women were included in this study. The CT and MRI scans of the lower limb, and gait data were collected for all participants. Muscle forces derived from the body level musculoskeletal models were used as boundary constraints on the finite element femur models. Principal strains were estimated at the femoral neck region during a full gait cycle. Considerable variation was found in the predicted peak strain among individuals with mean peak first principal strain of 0.24% ± 0.11% and mean third principal strain of -0.29% ± 0.24%. For four individuals, two overall peaks of the maximum strains were found to occur when both feet were in contact with the floor, while one individual had one peak at the toe-off phase. Both the joint contact forces and the muscular forces were found to substantially influence the loading at the femoral neck. A higher correlation was found between the predicted peak strains and the gluteus medius (R2 ranged between 0.95 and 0.99) than the hip joint contact forces (R2 ranged between 0.63 and 0.96). Therefore, the current findings suggest that personal variations are substantial, and hence it is important to consider multiple subjects before deriving general conclusions for a target population.

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Section: Methodsmentioning

confidence: 99%

“…metabolism other than calcium/vitamin D supplementation and alcohol intake greater than 21 units per week [28].…”

Section: Plos Onementioning

confidence: 99%

Femoral neck strain prediction during level walking using a combined musculoskeletal and finite element model approach

et al. 2021

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“…However, it should be mentioned that, due to the nature of SO, changing the MIF of all muscles surrounding the joint by the same amount (e.g., 30%) is unlikely to greatly alter the KCF estimates. Regarding the substantial inter-subject variability of MIF of the lower limb muscles (Friederich and Brand, 1990;Ward et al, 2009;Yucesoy et al, 2010;Bakenecker et al, 2020;Montefiori et al, 2020), using the baseline values from generic models may result in sizable KCF errors. Medical imaging techniques (e.g., MR and ultrasound imaging) and isokinetic dynamometers can be used to estimate subject-specific MIF of major muscle groups (Maganaris et al, 2001;Correa and Pandy, 2011;Ivanovic and Dopsaj, 2013;Kainz et al, 2018;Higa et al, 2019).…”

Section: Discussionmentioning

confidence: 99%

Uncertainty in Muscle–Tendon Parameters can Greatly Influence the Accuracy of Knee Contact Force Estimates of Musculoskeletal Models

Nasab

Maas

et al. 2022

Front. Bioeng. Biotechnol.

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Understanding the sources of error is critical before models of the musculoskeletal system can be usefully translated. Using in vivo measured tibiofemoral forces, the impact of uncertainty in muscle–tendon parameters on the accuracy of knee contact force estimates of a generic musculoskeletal model was investigated following a probabilistic approach. Population variability was introduced to the routine musculoskeletal modeling framework by perturbing input parameters of the lower limb muscles around their baseline values. Using ground reaction force and skin marker trajectory data collected from six subjects performing body-weight squat, the knee contact force was calculated for the perturbed models. The combined impact of input uncertainties resulted in a considerable variation in the knee contact force estimates (up to 2.1 BW change in the predicted force), especially at larger knee flexion angles, hence explaining up to 70% of the simulation error. Although individual muscle groups exhibited different contributions to the overall error, variation in the maximum isometric force and pathway of the muscles showed the highest impacts on the model outcomes. Importantly, this study highlights parameters that should be personalized in order to achieve the best possible predictions when using generic musculoskeletal models for activities involving deep knee flexion.

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“…Frequency of publication of MRI studies has increased steadily since 1992, growing from one study [ 43 ] to 12 in 2020 [ 44 – 55 ] (Fig. 1 A).…”

Section: Resultsmentioning

confidence: 99%

Towards defining muscular regions of interest from axial magnetic resonance imaging with anatomical cross-reference: a scoping review of lateral hip musculature

Perraton

Lawrenson

Mosler

et al. 2022

BMC Musculoskelet Disord

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Background Measures of hip muscle morphology and composition (e.g., muscle size and fatty infiltration) are possible with magnetic resonance imaging (MRI). Standardised protocols or guidelines do not exist for evaluation of hip muscle characteristics, hindering reliable and valid inter-study analysis. This scoping review aimed to collate and synthesise MRI methods for measuring lateral hip muscle size and fatty infiltration to inform the future development of standardised protocols. Methods Five electronic databases (Medline, CINAHL, Embase, SportsDISCUS and AMED) were searched. Healthy or musculoskeletal pain populations that used MRI to assess lateral hip muscle size and fatty infiltration were included. Lateral hip muscles of interest included tensor fascia late (TFL), gluteus maximus, gluteus medius, and gluteus minimus. Data on MRI parameters, axial slice location, muscle size and fatty infiltrate measures were collected and analysed. Cross referencing for anatomical locations were made between MRI axial slice and E-12 anatomical plastinate sections. Results From 2684 identified publications, 78 studies contributed data on volume (n = 31), cross sectional area (CSA) (n = 24), and fatty infiltration (n = 40). Heterogeneity was observed for MRI parameters and anatomical boundaries scrutinizing hip muscle size and fatty infiltration. Seven single level axial slices were identified that provided consistent CSA measurement, including three for both gluteus maximus and TFL, and four for both gluteus medius and minimus. For assessment of fatty infiltration, six axial slice locations were identified including two for TFL, and four for each of the gluteal muscles. Conclusions Several consistent anatomical levels were identified for single axial MR slice to facilitate muscle size and fatty infiltration muscle measures at the hip, providing the basis for reliable and accurate data synthesis and improvements in the validity of future between studies analyses. This work establishes the platform for standardised methods for the MRI assessment of lateral hip musculature and will aid in the examination of musculoskeletal conditions around the hip joint. Further studies into whole muscle measures are required to further optimise methodological parameters for hip muscle assessment.

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MRI-based anatomical characterisation of lower-limb muscles in older women

Cited by 10 publications

References 45 publications

Femoral neck strain prediction during level walking using a combined musculoskeletal and finite element model approach

Femoral neck strain prediction during level walking using a combined musculoskeletal and finite element model approach

Uncertainty in Muscle–Tendon Parameters can Greatly Influence the Accuracy of Knee Contact Force Estimates of Musculoskeletal Models

Towards defining muscular regions of interest from axial magnetic resonance imaging with anatomical cross-reference: a scoping review of lateral hip musculature

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