Predicting longitudinal changes in joint contact forces in a juvenile population: scaled generic versus

Claude Fiifi Hayford1, Erica Montefiori1, Emma Pratt2

  • 1Department of Mechanical Engineering and Insigneo Institute for in Silico Medicine, University of Sheffield, Sheffield, UK.

Insights

Generic musculoskeletal models can reliably track joint contact force changes in children, offering a practical alternative to complex subject-specific models in clinical settings.

Area of Science:

  • Biomechanics
  • Musculoskeletal modeling
  • Pediatric orthopedics

Background:

  • Subject-specific musculoskeletal models are crucial for analyzing joint loading but are hindered by time, effort, and imaging requirements.
  • Clinical application of detailed musculoskeletal models is limited, necessitating simpler, more accessible alternatives.

Purpose of the Study:

  • To evaluate the consistency of longitudinal joint contact force (JCF) estimations between scaled generic and subject-specific musculoskeletal models in children.
  • To determine if scaled generic models can accurately detect changes in JCF over time, comparable to subject-specific models.

Main Methods:

  • Collected joint kinematics and calculated JCF for 11 children using both subject-specific and scaled generic musculoskeletal models.
  • Compared the longitudinal changes in JCF estimated by the two modeling approaches for the hip and knee joints.

Main Results:

  • Strong correlations were observed in estimated JCF changes between scaled generic and subject-specific models for the hip and knee.
  • While JCF estimates varied between the two model types, the trends in changes were consistent.

Conclusions:

  • Scaled generic musculoskeletal models demonstrate sufficient sensitivity to detect longitudinal JCF changes in children, mirroring findings from subject-specific models.
  • These findings suggest that scaled generic models offer a viable, less burdensome alternative for clinical assessment of joint loading changes in pediatric populations, within acceptable accuracy limits.

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