ArticlePloS one2015
In-vivo assessment of femoral bone strength using Finite Element Analysis (FEA) based on routine MDCT imaging: a preliminary study on patients with vertebral fractures.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- CT image-based biomarkers for opportunistic screening of osteoporotic fractures: a systematic review and meta-analysis.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2024Pooled it
- Femoral fracture risk in transfemoral amputees with bone-anchored prosthetic limbs during activities of daily living.Journal of orthopaedic surgery and research · 2025Article
- Advancements in High-Resolution Computed Tomography: Revolutionising Bone Health Micro-Research.Bioengineering (Basel, Switzerland) · 2025Article
- Integration of Multi-Scale Predictive Tools of Bone Fragility: A Structural and Material Property Perspective.Materials (Basel, Switzerland) · 2025Review
- Finite element modeling of clavicle fracture fixations: a systematic scoping review.Medical & biological engineering & computing · 2025Article
- Computed Tomography-Based Stiffness Measures of Trabecular Bone Microstructure: Cadaveric Validation and In Vivo Application.JBMR plus · 2022Article
- Finite element analysis of trabecular bone microstructure using CT imaging and continuum mechanical modeling.Medical physics · 2022Article
- A Tailored Approach for Appendicular Impending and Pathologic Fractures in Solid Cancer Metastases.Cancers · 2022Review
- Documenting the Anisotropic Stiffness of Hard Tissues with Resonant Ultrasound Spectroscopy.Advances in experimental medicine and biology · 2022Review
- Article
- Finite elements analysis of the temporomandibular joint disc in patients with intra-articular disorders.BMC oral health · 2020Article
- Predicting Vertebral Bone Strength Using Finite Element Analysis for Opportunistic Osteoporosis Screening in Routine Multidetector Computed Tomography Scans-A Feasibility Study.Frontiers in endocrinology · 2020Article
- MDCT-based Finite Element Analysis of Vertebral Fracture Risk: What Dose is Needed?Clinical neuroradiology · 2019Article
- Risk of vertebral compression fractures in multiple myeloma patients: A finite-element study.Medicine · 2017Observational
- Decreasing the Effective Thermal Conductivity in Glass Supported Thermoelectric Layers.PloS one · 2016Article
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8 authors.
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No grant is acknowledged in the PubMed record.
Abstract
purposeTo experimentally validate a non-linear finite element analysis (FEA) modeling approach assessing in-vitro fracture risk at the proximal femur and to transfer the method to standard in-vivo multi-detector computed tomography (MDCT) data of the hip aiming to predict additional hip fracture risk in subjects with and without osteoporosis associated vertebral fractures using bone mineral density (BMD) measurements as gold standard.
methodsOne fresh-frozen human femur specimen was mechanically tested and fractured simulating stance and clinically relevant fall loading configurations to the hip. After experimental in-vitro validation, the FEA simulation protocol was transferred to standard contrast-enhanced in-vivo MDCT images to calculate individual hip fracture risk each for 4 subjects with and without a history of osteoporotic vertebral fractures matched by age and gender. In addition, FEA based risk factor calculations were compared to manual femoral BMD measurements of all subjects.
resultsIn-vitro simulations showed good correlation with the experimentally measured strains both in stance (R2 = 0.963) and fall configuration (R2 = 0.976). The simulated maximum stress overestimated the experimental failure load (4743 N) by 14.7% (5440 N) while the simulated maximum strain overestimated by 4.7% (4968 N). The simulated failed elements coincided precisely with the experimentally determined fracture locations. BMD measurements in subjects with a history of osteoporotic vertebral fractures did not differ significantly from subjects without fragility fractures (femoral head: p = 0.989; femoral neck: p = 0.366), but showed higher FEA based risk factors for additional incident hip fractures (p = 0.028).
conclusionFEA simulations were successfully validated by elastic and destructive in-vitro experiments. In the subsequent in-vivo analyses, MDCT based FEA based risk factor differences for additional hip fractures were not mirrored by according BMD measurements. Our data suggests, that MDCT derived FEA models may assess bone strength more accurately than BMD measurements alone, providing a valuable in-vivo fracture risk assessment tool.
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