ArticleScientific reports2022
Morphological variation in paediatric lower limb bones.
Article in Scientific reports, 2022. 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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16 citing papers in PubMed, 28 citations in OpenAlex.
- Coronal Plane Alignment of the Knee (CPAK) in children and adolescents : an analysis of 655 knees according to the CPAK classification.Bone & joint open · 2026Article
- Thorax shape reconstruction from limited CT-digitized palpable landmarks using statistical shape modeling.Medical & biological engineering & computing · 2026Article
- Ontogenetic changes in femoral morphology and joint loads in children.Bone & joint research · 2026Article
- Investigation of Anatomical and Morphological Variations in the Femur of a Chinese Population Using Statistical Shape Model.Orthopaedic surgery · 2026Article
- Early-life nutritional status as a determinant of bone density and hip joint morphology in children.Frontiers in nutrition · 2026Article
- Understanding the influence of geometry and material properties on femoral and tibial stress and strain analysis in a paediatric population for single-leg standing simulation.Frontiers in bioengineering and biotechnology · 2026Article
- Evidence-informed methodological approaches for coupled neuromusculoskeletal-finite element analysis workflows in orthopaedic biomechanics.Frontiers in bioengineering and biotechnology · 2026Article
- 3D Patellar instability Anatomical Severity Score (3D-PASS): A Novel Machine Learning Score Using 3D Bone Position From MRI to Predict Outcomes of Patellar Instability Treatment (Using a Subset of Data in the JUPITER Cohort).Orthopaedic journal of sports medicine · 2025Article
- Statistical Shape and Fibre Orientation Model for Muscle Architecture Characterisation of the Medial Gastrocnemius.Annals of biomedical engineering · 2025Article
- Prediction accuracy of femoral and tibial stress and strain using statistical shape and density model-based finite element models in paediatrics.Biomechanics and modeling in mechanobiology · 2025Article
- Estimating the contribution of musculoskeletal impairments to altered gait kinematics in children with cerebral palsy using predictive simulations.Journal of neuroengineering and rehabilitation · 2025Article
- Exploring shape changes in healthy bone growth through 3D spatiotemporal statistical shape models: A scoping review.Bone reports · 2025Article
- OpenHands: An Open-Source Statistical Shape Model of the Finger Bones.Annals of biomedical engineering · 2024Article
- 3D gait analysis in children using wearable sensors: feasibility of predicting joint kinematics and kinetics with personalized machine learning models and inertial measurement units.Frontiers in bioengineering and biotechnology · 2024Article
- Sex differences in linear bone measurements occur following puberty but do not influence femoral or tibial torsion.Scientific reports · 2023Article
- Roadmap for an imaging and modelling paediatric study in rural NZ.Frontiers in physiology · 2023Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Available methods for generating paediatric musculoskeletal geometry are to scale generic adult geometry, which is widely accessible but can be inaccurate, or to obtain geometry from medical imaging, which is accurate but time-consuming and costly. A population-based shape model is required to generate accurate and accessible musculoskeletal geometry in a paediatric population. The pelvis, femur, and tibia/fibula were segmented from 333 CT scans of children aged 4-18 years. Bone morphology variation was captured using principal component analysis (PCA). Subsequently, a shape model was developed to predict bone geometry from demographic and linear bone measurements and validated using a leave one out analysis. The shape model was compared to linear scaling of adult and paediatric bone geometry. The PCA captured growth-related changes in bone geometry. The shape model predicted bone geometry with root mean squared error (RMSE) of 2.91 ± 0.99 mm in the pelvis, 2.01 ± 0.62 mm in the femur, and 1.85 ± 0.54 mm in the tibia/fibula. Linear scaling of an adult mesh produced RMSE of 4.79 ± 1.39 mm in the pelvis, 4.38 ± 0.72 mm in the femur, and 4.39 ± 0.86 mm in the tibia/fibula. We have developed a method for capturing and predicting lower limb bone shape variation in a paediatric population more accurately than linear scaling without using medical imaging.
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