Understanding the variability of the proximal femoral canal: A computational modeling study

IF 2.1 3区 医学 Q2 ORTHOPEDICS Journal of Orthopaedic Research® Pub Date : 2024-09-18 DOI:10.1002/jor.25971
Angelika Ramesh, Johann Henckel, Alister Hart, Anna Di Laura
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Abstract

Statistical shape modeling (SSM) offers the potential to describe the morphological differences in similar shapes using a compact number of variables. Its application in orthopedics is rapidly growing. In this study, an SSM of the intramedullary canal of the proximal femur was built, with the aim to better understanding the complexity of its shape which may, in turn, enhance the preoperative planning of total hip arthroplasty (THA). This includes the prediction of the prosthetic femoral version (PFV) which is known to be highly variable amongst patients who have undergone THA. The model was built on three dimensional (3D) models of 64 femoral canals which were generated from pelvic computed tomography images including the proximal femur in the field of view. Principal component analysis (PCA) was performed on the mean shape derived from the model and each segmented canal. Five prominent modes of variations representing approximately 84% of the total 3D variations in the population of shapes were found to capture variability in size, proximal torsion, intramedullary femoral anteversion, varus/valgus orientation, and distal femoral shaft twist/torsion, respectively. It was established that the intramedullary femoral canal is highly variable in its size, shape, and orientation between different subjects. PCA-driven SSM is beneficial for identifying patterns and extracting valuable features of the femoral canal.

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了解股骨近端管道的可变性:计算模型研究
统计形状建模(SSM)可以使用少量变量来描述相似形状的形态差异。它在骨科领域的应用正在迅速增长。本研究建立了股骨近端髓内管的统计形状模型,旨在更好地了解其形状的复杂性,从而加强全髋关节置换术(THA)的术前规划。这包括对假体股骨型号(PFV)的预测,众所周知,股骨型号在接受全髋关节置换术的患者中变化很大。该模型建立在 64 个股骨管的三维(3D)模型上,这些模型由骨盆计算机断层扫描图像生成,包括视野中的股骨近端。对模型和每个分割的股骨管得出的平均形状进行了主成分分析(PCA)。结果发现,五种显著的变化模式分别反映了大小、近端扭转、股骨髓内前倾、曲/外翻方向和股骨远端轴扭转/扭转等方面的变化,约占总形状三维变化的 84%。研究证实,不同受试者的股骨髓内管在大小、形状和方向上存在很大差异。PCA 驱动的 SSM 有利于识别股骨髓内管的模式并提取有价值的特征。
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来源期刊
Journal of Orthopaedic Research®
Journal of Orthopaedic Research® 医学-整形外科
CiteScore
6.10
自引率
3.60%
发文量
261
审稿时长
3-6 weeks
期刊介绍: The Journal of Orthopaedic Research is the forum for the rapid publication of high quality reports of new information on the full spectrum of orthopaedic research, including life sciences, engineering, translational, and clinical studies.
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