Study of the interactions between proximal femur 3d bone shape, cartilage health, and biomechanics in patients with hip Osteoarthritis

Valentina Pedoia, Michael A. Samaan, Gaurav Inamdar, Matthew C. Gallo, Richard B. Souza, Sharmila Majumdar

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

In this study quantitative MRI and gait analysis were used to investigate the relationships between proximal femur 3D bone shape, cartilage morphology, cartilage biochemical composition, and joint biomechanics in subject with hip Osteoarthritis (OA). Eighty subjects underwent unilateral hip MR-imaging: T1ρ and T2 relaxation times were extracted through voxel based relaxometry and bone shape was assessed with 3D MRI-based statistical shape modeling. In addition, 3D gait analysis was performed in seventy-six of the studied subjects. Associations between shape, cartilage lesion presence, severity, and cartilage T1ρ and T2 were analyzed with linear regression and statistical parametric mapping. An ad hoc analysis was performed to investigate biomechanics and shape associations. Our results showed that subjects with a higher neck shaft angle in the coronal plane (higher mode 1, coxa valga), thicker femoral neck and a less spherical femoral head (higher mode 5, pistol grip) exhibited more severe acetabular and femoral cartilage abnormalities, showing different interactions with demographics factors. Subjects with coxa valga also demonstrated a prolongation of T1ρ and T2. Subjects with pistol grip deformity exhibited reduced hip internal rotation angles and subjects with coxa valga exhibited higher peak hip adduction moment and moment impulse. The results of this study establish a clear relationship between 3D proximal femur shape variations and markers of hip joint degeneration—morphological, compositional, well as insight on the possible interactions with demographics and biomechanics, suggesting that 3D MRI-based bone shape maybe a promising biomarker of early hip joint degeneration.

Original languageEnglish
Pages (from-to)330-341
Number of pages12
JournalJournal of Orthopaedic Research
Volume36
Issue number1
DOIs
StatePublished - Jan 2018

Bibliographical note

Funding Information:
We would like to thank: Sonia Lee, MD and Thomas M. Link, MD for their help with radiograph and MRI grading; Cory Wyatt and Deepak Kumar for their help in data collection. This study was supported by 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.

Funding Information:
Conflicts of interest: The authors involved in this study have research grant funding, which is listed in the acknowledgments. Grant sponsor: NIH-NIAMS; Grant numbers: F32 AR069458, P50 AR060752. Correspondence to: Valentina Pedoia, (T: 1 (415) 549-6136; F: 1-415-353-9423; E-mail: valentina.pedoia@ucsf.edu)

Publisher Copyright:
© 2017 Orthopaedic Research Society. Published by Wiley Periodicals, Inc.

Keywords

  • MRI
  • T1ρ/T2
  • bone shape
  • cartilage
  • hip
  • osteoarthritis (OA)
  • statistical shape modeling (SSM)

ASJC Scopus subject areas

  • Orthopedics and Sports Medicine

Fingerprint

Dive into the research topics of 'Study of the interactions between proximal femur 3d bone shape, cartilage health, and biomechanics in patients with hip Osteoarthritis'. Together they form a unique fingerprint.

Cite this