ArticleOrthopaedic surgery2019
Surgically Relevant Morphological Parameters of Proximal Human Femur: A Statistical Analysis Based on 3D Reconstruction of CT Data.
Article in Orthopaedic surgery, 2019. 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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Who cites it
16 citing papers in PubMed.
- Evaluation of Changes in Hip Morphology in a Rabbit Model of Patellar Dislocation via Computed Tomography Imaging.Medical science monitor : international medical journal of experimental and clinical research · 2026Article
- Subject-Specific Finite Element Analysis of the Human Femur Using Radiation-Free Three-Dimensional Zero-Echo-Time Magnetic Resonance Imaging (3D ZTE MRI): A Feasibility Study.Life (Basel, Switzerland) · 2026Article
- Investigation of Anatomical and Morphological Variations in the Femur of a Chinese Population Using Statistical Shape Model.Orthopaedic surgery · 2026Article
- Magnetic Resonance Imaging-Based Cohesive Extended Finite Element Modeling of Atypical Femoral Fracture.Journal of biomechanical engineering · 2026Article
- The Morphology of the Femur Influences the Fracture Risk during Stumbling and Falls on the Hip-A Computational Biomechanical Study.Life (Basel, Switzerland) · 2024Article
- Development of Local Software for Automatic Measurement of Geometric Parameters in the Proximal Femur Using a Combination of a Deep Learning Approach and an Active Shape Model on X-ray Images.Journal of imaging informatics in medicine · 2024Article
- Modular intercalary prosthetic reconstruction for malignant and metastatic tumours of the proximal femur.Scientific reports · 2024Article
- Monte Carlo-based in-depth morphological analysis of medullary cavity for designing personalized femoral stem.Frontiers in surgery · 2024Article
- Reconstruction of the anatomy of the hip in total hip arthroplasty with two different kinds of stems.BMC musculoskeletal disorders · 2022Article
- Discussion on the possibility of multi-layer intelligent technologies to achieve the best recover of musculoskeletal injuries: Smart materials, variable structures, and intelligent therapeutic planning.Frontiers in bioengineering and biotechnology · 2022Review
- Abnormal Femoral Anteversion Is Associated With the Development of Hip Osteoarthritis: A Systematic Review and Meta-Analysis.Arthroscopy, sports medicine, and rehabilitation · 2021Review
- Hindlimb torsional alignment changes in growing rabbits after patellar dislocation.BMC musculoskeletal disorders · 2021Article
- Femoral neck strain prediction during level walking using a combined musculoskeletal and finite element model approach.PloS one · 2021Article
- Diagnostic Value of MRI Lamellated Hyperintense Synovitis in Periprosthetic Infection of Hip.Orthopaedic surgery · 2020Article
- A robust method for automatic identification of femoral landmarks, axes, planes and bone coordinate systems using surface models.Scientific reports · 2020Article
- Observational
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6 authors.
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Abstract
objectivesRecently, more accurate description of the femoral geometry has become of interest to engineers and orthopedic surgeons. However, an appropriate database is lacking. Therefore, the aim of this study is to present morphological parameters and their correlations, which are relevant for medical issues such as impingement after total hip replacement, as well as for implant design and the etiology of hip fractures.
methodsWe investigated 12 well-known morphological parameters of the femur in 169 healthy human subjects through evaluation of 3D-reconstructed CT scans. Pearson's coefficients of correlations were calculated using a statistical t-test method for each pair of parameters.
resultsThe mean, maximum, minimum, median, and standard deviation values are reported for all parameters. Histograms showing the distribution of each morphological parameter are also presented. It is shown that absolute and horizontal offsets, total femur length, and NCVD parameters are normally distributed, but NCDF and NCDS are not. Furthermore, an inter-correlation matrix was reported to reveal statistical correlations between these parameters. The strongest positive correlation existed between absolute offset (OSA) and horizontal offset (OSH), while the least positive correlation was found between NCDF and total femur length (TFL), and also between NCDS and NCDF. Anteversion angle (ATA) and OSA showed the least negative correlation. However, the strongest negative correlation was found between neck-shaft angle (NSA) and greater trochanter height (GTH), as well as between OSA and NCVD.
conclusionsComprehending patients' native bone morphology, including the variations and correlations, is essential for orthopedic surgeons to undertake preoperative planning and surgery as well as to appropriately design medical devices. Thus, more population-based detailed databases are necessary. We investigated an extensive set of proximal femoral morphology parameters using a statistically standardized method to expand the existing knowledge. The results of our study can be used for diverse medical and biomechanical purposes.
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