An integrated platform for hip joint osteoarthritis analysis: design, implementation and results

Area of Science:

• Orthopedics and Biomechanics
• Medical Imaging Analysis
• Computational Anatomy

Background:

• Hip joint osteoarthritis (OA) diagnosis and management remain challenging.
• Current clinical evaluations often lack dynamic assessment capabilities.
• Understanding the biomechanical factors contributing to hip OA is crucial.

Purpose of the Study:

• To introduce novel software for improved hip joint osteoarthritis (OA) analysis.
• To integrate 3D anatomical models, magnetic resonance imaging (MRI), and motion capture data.
• To provide dynamic assessment tools for hip joint kinematics and morphology.

Main Methods:

• Dynamic assessment of hip joint kinematics using real-time motion capture data.
• Calculation of active range of motion, joint congruency, and center of rotation.
• 3D measurement tools for MRI-based analysis of hip morphological abnormalities.
• Utilizing a medical ontology for data management and analysis.

Main Results:

• In vivo assessment in 30 professional ballet dancers, a high-risk population for hip OA.
• Identified extreme motion as a cause of femoroacetabular impingement (FAI) and joint subluxation in morphologically normal hips.
• Demonstrated the software's ability to detect and localize FAI regions.

Conclusions:

• The developed software provides comprehensive tools for hip OA analysis.
• It integrates diverse data types including imaging, motion, and morphological measurements.
• The software aims to enhance orthopedists' diagnostic and analytical performance in hip OA cases.