Femoral bone growth predictions based on personalized multi-scale simulations: Validation and sensitivity analysis of a mechanobiological model DOI Creative Commons
W. Köller, Martin Švehlík,

Elias Wallnoefer

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Дек. 13, 2024

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

Язык: Английский

Femoral bone growth predictions based on personalized multi-scale simulations: validation and sensitivity analysis of a mechanobiological model DOI Creative Commons
W. Köller, Martin Švehlík, Elias Wallnöfer

и другие.

Biomechanics and Modeling in Mechanobiology, Год журнала: 2025, Номер unknown

Опубликована: Апрель 14, 2025

Язык: Английский

Процитировано

0
Femoral bone growth predictions based on personalized multi-scale simulations: Validation and sensitivity analysis of a mechanobiological model DOI Creative Commons
W. Köller, Martin Švehlík,

Elias Wallnoefer

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Дек. 13, 2024

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

Язык: Английский

Процитировано

0