Betti Valentina, Aldieri Alessandra, Cristofolini Luca
Department of Industrial Engineering, Alma Mater Studiorum-University of Bologna, Bologna, Italy.
PolitoBIOMed Lab, Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Torino, Italy.
Front Bioeng Biotechnol. 2024 Apr 10;12:1250095. doi: 10.3389/fbioe.2024.1250095. eCollection 2024.
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.
统计形状模型(SSMs)在骨科领域被广泛用于从骨骼区域(如股骨)提取主要形状特征。本研究旨在开发股骨骨髓腔的SSM,研究其解剖变异性,并评估取决于髓腔长度的变化。通过基于阈值的分割从72例CT股骨扫描中分离出髓腔。选择了一个感兴趣区域(ROI);从ROI中提取了16个节段,范围从全长的25%到最远端节段。开发了一个SSM来识别每个节段的主要变异模式。根据髓腔节段的长度,解释至少90%形状变异所需的主成分(PCs)数量为三个/四个。该研究检查了所识别的PCs与长度、曲率半径、椭圆率、平均直径和锥度等几何参数之间的关系,报告了每个节段这些参数的范围和百分比变化。SSMs提供了对股骨髓腔解剖变异性的见解,强调了考虑不同节段以捕捉不同髓腔长度处形状变异的重要性。这些发现可为涉及股骨远端的个性化骨科植入物设计做出贡献。