A framework for three-dimensional statistical shape modeling of the proximal femur in Legg-Calvé-Perthes disease.

IF 2.3 3区 医学 Q3 ENGINEERING, BIOMEDICAL International Journal of Computer Assisted Radiology and Surgery Pub Date : 2024-10-08 DOI:10.1007/s11548-024-03272-2
Luke G Johnson, Joseph D Mozingo, Penny R Atkins, Seaton Schwab, Alan Morris, Shireen Y Elhabian, David R Wilson, Harry K W Kim, Andrew E Anderson
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Abstract

Purpose: The pathomorphology of Legg-Calvé-Perthes disease (LCPD) is a key contributor to poor long-term outcomes such as hip pain, femoroacetabular impingement, and early-onset osteoarthritis. Plain radiographs, commonly used for research and in the clinic, cannot accurately represent the full extent of LCPD deformity. The purpose of this study was to develop and evaluate a methodological framework for three-dimensional (3D) statistical shape modeling (SSM) of the proximal femur in LCPD.

Methods: We developed a framework consisting of three core steps: segmentation, surface mesh preparation, and particle-based correspondence. The framework aims to address challenges in modeling this rare condition, characterized by highly heterogeneous deformities across a wide age range and small sample sizes. We evaluated this framework by producing a SSM from clinical magnetic resonance images of 13 proximal femurs with LCPD deformity from 11 patients between the ages of six and 12 years.

Results: After removing differences in scale and pose, the dominant shape modes described morphological features characteristic of LCPD, including a broad and flat femoral head, high-riding greater trochanter, and reduced neck-shaft angle. The first four shape modes were chosen for the evaluation of the model's performance, together describing 87.5% of the overall cohort variance. The SSM was generalizable to unfamiliar examples with an average point-to-point reconstruction error below 1mm. We observed strong Spearman rank correlations (up to 0.79) between some shape modes, 3D measurements of femoral head asphericity, and clinical radiographic metrics.

Conclusion: In this study, we present a framework, based on SSM, for the objective description of LCPD deformity in three dimensions. Our methods can accurately describe overall shape variation using a small number of parameters, and are a step toward a widely accepted, objective 3D quantification of LCPD deformity.

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Legg-Calvé-Perthes 病股骨近端三维统计形状建模框架。
目的:Legg-Calvé-Perthes 病(LCPD)的病理形态是导致髋关节疼痛、股骨髋臼撞击和早发性骨关节炎等长期不良后果的关键因素。研究和临床常用的普通X光片无法准确反映LCPD畸形的全部程度。本研究旨在开发和评估 LCPD 股骨近端三维(3D)统计形状建模(SSM)的方法框架:我们开发了一个由三个核心步骤组成的框架:分割、表面网格准备和基于粒子的对应。该框架旨在解决这一罕见病症建模过程中的难题,该病症的特点是在广泛的年龄范围内存在高度异质性畸形,且样本量较小。我们通过对 11 名年龄在 6 到 12 岁之间、患有 LCPD 畸形的 13 名患者的股骨近端临床磁共振图像制作 SSM,对该框架进行了评估:去除比例和姿势上的差异后,主要的形状模式描述了LCPD特有的形态特征,包括宽平的股骨头、高耸的大转子和减小的颈轴角。评估模型性能时选择了前四种形状模式,它们共描述了87.5%的整体队列变异。SSM 可用于陌生病例,平均点对点重建误差低于 1 毫米。我们观察到一些形状模式、股骨头非球面度三维测量值和临床放射学指标之间存在很强的斯皮尔曼等级相关性(高达 0.79):在这项研究中,我们提出了一个基于 SSM 的框架,用于客观描述 LCPD 的三维畸形。我们的方法只需使用少量参数就能准确描述整体形状的变化,这是向广泛接受的、客观的 LCPD 畸形三维量化迈出的一步。
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来源期刊
International Journal of Computer Assisted Radiology and Surgery
International Journal of Computer Assisted Radiology and Surgery ENGINEERING, BIOMEDICAL-RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
CiteScore
5.90
自引率
6.70%
发文量
243
审稿时长
6-12 weeks
期刊介绍: The International Journal for Computer Assisted Radiology and Surgery (IJCARS) is a peer-reviewed journal that provides a platform for closing the gap between medical and technical disciplines, and encourages interdisciplinary research and development activities in an international environment.
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