ArticleFrontiers in bioengineering and biotechnology2024
A statistical shape analysis for the assessment of the main geometrical features of the distal femoral medullary canal.
Article in Frontiers in bioengineering and biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 5 citations in OpenAlex.
- Statistical shape modeling and Gaussian process-based reconstruction of the lumbar spine from partial data: a proof-of-concept study.International journal of computer assisted radiology and surgery · 2026Article
- Statistical shape modeling of the proximal femur bone for hip implant design optimization.Scientific reports · 2026Article
- Medullary radius as a major contributor to variance in the proximal femur: Insights from statistical shape modeling.Journal of anatomy · 2026Article
- Improved primary stability and load transfer of a customized osseointegrated transfemoral prosthesis compared to a commercial one.Journal of orthopaedic surgery and research · 2025Article
- Advantages of customization of osseointegrated implants in transfemoral amputees: a comparative analysis of surgical planning.Journal of orthopaedic surgery and research · 2024Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Statistical Shape Models (SSMs) are widely used in orthopedics to extract the main shape features from bone regions (e.g., femur). This study aims to develop an SSM of the femoral medullary canal, investigate its anatomical variability, and assess variations depending on canal length. The canals were isolated from 72 CT femur scans, through a threshold-based segmentation. A region of interest (ROI) was selected; sixteen segments were extracted from the ROI, ranging from 25% of the full length down to the most distal segment. An SSM was developed to identify the main modes of variation for each segment. The number of Principal Components (PCs) needed to explain at least 90% of the shape variance were three/four based on the length of the canal segment. The study examined the relationship between the identified PCs and geometric parameters like length, radius of curvature, ellipticity, mean diameter, and conicity, reporting range and percentage variation of these parameters for each segment. The SSMs provide insights into the anatomical variability of the femoral canal, emphasizing the importance of considering different segments to capture shape variations at various canal length. These findings can contribute for the design of personalized orthopedic implants involving the distal femur.
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