A statistical shape analysis for the assessment of the main geometrical features of the distal femoral medullary canal.

anatomical variability medullary canal personalized orthopedic implants principal component analysis—PCA shape variation statistical shape model (SSM)

Journal

Frontiers in bioengineering and biotechnology
ISSN: 2296-4185
Titre abrégé: Front Bioeng Biotechnol
Pays: Switzerland
ID NLM: 101632513

Informations de publication

Date de publication:
2024
Historique:
received: 29 06 2023
accepted: 19 03 2024
medline: 25 4 2024
pubmed: 25 4 2024
entrez: 25 4 2024
Statut: epublish

Résumé

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.

Identifiants

pubmed: 38659643
doi: 10.3389/fbioe.2024.1250095
pii: 1250095
pmc: PMC11039873
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1250095

Informations de copyright

Copyright © 2024 Betti, Aldieri and Cristofolini.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Valentina Betti (V)

Department of Industrial Engineering, Alma Mater Studiorum-University of Bologna, Bologna, Italy.

Alessandra Aldieri (A)

PolitoBIOMed Lab, Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Torino, Italy.

Luca Cristofolini (L)

Department of Industrial Engineering, Alma Mater Studiorum-University of Bologna, Bologna, Italy.

Classifications MeSH