The goal of this study was to use quantitative MRI analysis to longitudinally observe the relationship between 3D proximal femur shape and hip joint degenerative changes. Forty-six subjects underwent unilateral hip MR imaging at three time points (baseline, 18 and 36 months). 3D shape analysis, hip cartilage T 1ρ /T 2 relaxation time quantification, and SHOMRI MRI grading were performed at each time point. Subjects were grouped based on KL, SHOMRI, and HOOS pain scores. Associations between these score groupings, time, and longitudinal variation in shape, were analyzed using a generalized estimating equation. One-way ANCOVA was conducted to evaluate change in shape as a predictor of the worsening of degenerative changes at 36 months. Our results demonstrated that subjects displayed an increase in the volume of the femoral head and neck (Mode 3) over time. This shape mode was significantly more prevalent in patients that reported pain. Longitudinal changes in this shape mode also served as borderline predictors of elevated T 1ρ values (p = 0.055) and of cartilage lesions (p = 0.068). Subjects showed a change in the Femoral Neck Anteversion angle (FNA) over time (Mode 6). This shape mode showed a significant interaction with the presence of cartilage lesions. The results of this study suggest that specific variations in bone shape quantified through 3D-MRI based Statistical Shape modeling show an observable relationship with hip joint compositional and morphological changes. The shapes observed lead to early degenerative changes, which may lead into OA, thus confirming the important role of bone shape changes in the pathogenesis of OA.
|Number of pages||10|
|Journal||Journal of Orthopaedic Research|
|State||Published - Jan 2019|
Bibliographical noteFunding Information:
Grant sponsor: Foundation for the National Institutes of Health; Grant numbers: AR060752F32, AR069458, NIAMS P50. Correspondence to: Gaurav Inamdar (T: 925-895-9214; F: 415-353-9423; E-mail: email@example.com)
This study was supported by the NIH NIAMS P50, AR060752, and F32 AR069458. The content of this study is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
© 2018 Orthopaedic Research Society. Published by Wiley Periodicals, Inc.
- bone shape
- statistical shape modeling (SSM)
ASJC Scopus subject areas
- Orthopedics and Sports Medicine