Surgically Relevant Morphological Parameters of Proximal Human Femur: A Statistical Analysis Based on 3D Reconstruction of CT Data.
Ehsan SoodmandGuoyan ZhengWolfram SteensRainer BaderLutz NolteDaniel KluessPublished in: Orthopaedic surgery (2019)
Comprehending 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.
Keyphrases
- end stage renal disease
- healthcare
- endothelial cells
- ejection fraction
- newly diagnosed
- minimally invasive
- bone mineral density
- chronic kidney disease
- big data
- computed tomography
- prognostic factors
- quality improvement
- peritoneal dialysis
- electronic health record
- contrast enhanced
- body composition
- magnetic resonance imaging
- machine learning
- induced pluripotent stem cells
- acute coronary syndrome
- finite element
- soft tissue
- bone loss