Stryker Orthopaedic Modeling and Analytics (SOMA): A Review

Area of Science:

• Orthopaedic research
• Biomedical engineering
• Medical imaging analysis

Background:

• Orthopaedic implant development necessitates anatomical data reflecting diverse demographics (age, gender, BMI, ethnicity).
• Existing anatomical data is often insufficient to capture the full spectrum of human bone morphology variations.

Purpose of the Study:

• To introduce Stryker Orthopaedic Modeling and Analytics (SOMA) as a tool to assess demographic variations in bone morphology.
• To support research and development in orthopaedic implant design by providing population-specific anatomical insights.

Main Methods:

• Development of SOMA, a suite of tools integrating a comprehensive database of computed tomography (CT) scans.
• Utilization of associated three-dimensional (3D) bone models for detailed morphological and density analysis.
• Ongoing development of software tools to enhance bone density analysis and component fit prediction.

Main Results:

• SOMA enables assessment of population differences in bone morphology and density.
• The system facilitates evaluation of implant fit across various demographic groups.
• The tools have been applied to the development of hip, knee, and trauma orthopaedic implants.

Conclusions:

• SOMA provides a valuable resource for understanding demographic variations in bone anatomy.
• The platform supports the creation of more anatomically tailored and effective orthopaedic implants.
• Continued development of SOMA's analytical capabilities promises further advancements in orthopaedic surgery.