*Result*: Femoral bone growth predictions based on personalized multi-scale simulations: validation and sensitivity analysis of a mechanobiological model.

Title:
Femoral bone growth predictions based on personalized multi-scale simulations: validation and sensitivity analysis of a mechanobiological model.
Authors:
Koller W; Department of Biomechanics, Kinesiology and Computer Science in Sport, Centre for Sport Science and University Sports, University of Vienna, Vienna, Austria. willi.koller@univie.ac.at.; Neuromechanics Research Group, Centre for Sport Science and University Sports, University of Vienna, Vienna, Austria. willi.koller@univie.ac.at.; Vienna Doctoral School of Pharmaceutical, Nutritional and Sport Sciences, University of Vienna, Vienna, Austria. willi.koller@univie.ac.at., Svehlik M; Department of Orthopedics and Traumatology, Medical University of Graz, Graz, Austria., Wallnöfer E; Department of Biomechanics, Kinesiology and Computer Science in Sport, Centre for Sport Science and University Sports, University of Vienna, Vienna, Austria.; Neuromechanics Research Group, Centre for Sport Science and University Sports, University of Vienna, Vienna, Austria.; Vienna Doctoral School of Pharmaceutical, Nutritional and Sport Sciences, University of Vienna, Vienna, Austria., Kranzl A; Laboratory for Gait and Human Movements, Orthopaedic Hospital Speising, Vienna, Austria.; Vienna Bone and Growth Center, Vienna, Austria., Mindler G; Department of Pediatric Orthopaedics, Orthopaedic Hospital Speising, Vienna, Austria.; Vienna Bone and Growth Center, Vienna, Austria., Baca A; Department of Biomechanics, Kinesiology and Computer Science in Sport, Centre for Sport Science and University Sports, University of Vienna, Vienna, Austria., Kainz H; Department of Biomechanics, Kinesiology and Computer Science in Sport, Centre for Sport Science and University Sports, University of Vienna, Vienna, Austria.; Neuromechanics Research Group, Centre for Sport Science and University Sports, University of Vienna, Vienna, Austria.
Source:
Biomechanics and modeling in mechanobiology [Biomech Model Mechanobiol] 2025 Jun; Vol. 24 (3), pp. 879-894. Date of Electronic Publication: 2025 Apr 14.
Publication Type:
Journal Article; Validation Study
Language:
English
Journal Info:
Publisher: Springer Country of Publication: Germany NLM ID: 101135325 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1617-7940 (Electronic) Linking ISSN: 16177940 NLM ISO Abbreviation: Biomech Model Mechanobiol Subsets: MEDLINE
Imprint Name(s):
Original Publication: Berlin ; New York : Springer, c2002-
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Contributed Indexing:
Keywords: Femoral bone growth; Finite element analysis; Mechanobiological model validation; Musculoskeletal modelling; Semi-automated growth predictions
Entry Date(s):
Date Created: 20250414 Date Completed: 20250612 Latest Revision: 20250615
Update Code:
20260130
PubMed Central ID:
PMC12162800
DOI:
10.1007/s10237-025-01942-x
PMID:
40227492
Database:
MEDLINE

*Further Information*

*Musculoskeletal function is pivotal to long-term health. However, various patient groups develop torsional deformities, leading to clinical, functional problems. Understanding the interplay between movement pattern, bone loading and growth is crucial for improving the functional mobility of these patients and preserving long-term health. Multi-scale simulations in combination with a mechanobiological bone growth model have been used to estimate bone loads and predict femoral growth trends based on cross-sectional data. The lack of longitudinal data in the previous studies hindered refinements of the mechanobiological model and validation of subject-specific growth predictions, thereby limiting clinical applications. This study aimed to validate the growth predictions using magnetic resonance images and motion capture data-collected longitudinally-from ten growing children. Additionally, a sensitivity analysis was conducted to refine model parameters. A linear regression model based on physical activity information, anthropometric data and predictions from the refined mechanobiological model explained 70% of femoral anteversion development. Notably, the direction of femoral development was accurately predicted in 18 out of 20 femurs, suggesting that growth predictions could help to revolutionize treatment strategies for torsional deformities.
(© 2025. The Author(s).)*

*Declarations. Conflict of interest: The authors declare no competing interests.*