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Computer Modelling of Wrist Biomechanics: Translation into Specific Tasks and Injuries.
1Centre for Orthopaedic and Trauma Research, Department of Orthopaedics and Trauma, University of Adelaide and Wakefield Orthopaedic Clinic, 270 Wakefield Street, Adelaide, 5000, Australia.
Current Rheumatology Reviews
|January 20, 2019
Summary
The carpus has two degrees of freedom, moving via rules-based motion (RBM) and a stable central column theory (SCCT) linkage. Understanding individual wrist biomechanics can aid surgical planning for injuries.
Area of Science:
- Biomechanics
- Orthopedic Surgery
- Medical Imaging
Background:
- The carpus is a complex mechanical system with no standard configuration, hindering biomechanical understanding.
- Advancements require models that account for individual carpal variations.
- This study aims to develop a kinetic model for reverse analysis of patient-specific carpal biomechanics.
Purpose of the Study:
- To present the rules-based motion (RBM) concept for wrist biomechanics, defining motion by morphology, constraint, interaction, and load.
- To apply the stable central column theory (SCCT) to the carpus, identifying a "two-gear four-bar" linkage through reverse engineering.
- To assess carpal motion using a 3D dynamic visualization model and test the hypothesis of consistent motion patterns.
Main Methods:
- Created 3D models from CT scans of five normal wrists in various positions (flexion, extension, radial/ulnar deviation).
- Animated proximal and distal carpal rows in a virtual environment with the radius/proximal bones immobilized.
- Analyzed and compared rotational axes and bone positions in sagittal and coronal planes.
Main Results:
- The carpus demonstrated two degrees of freedom (pitch and yaw) with inherent stability.
- The proximal row moved in a singular arc with variable extent; the distal row moved on a pivot/saddle joint axis.
- Consistent isometric constraints were observed, with distinct row motion patterns identified during different wrist movements, though the extent of motion varied.
Conclusions:
- The study supports the SCCT and RBM concepts for understanding wrist biomechanics and functional tasks.
- Advanced 3D modeling and reverse engineering of individual wrist rules can inform mathematical models for "what if" surgical scenario testing.
- Quantitative 3D CT analysis, virtual surgical planning, and intervention testing offer a pathway for improved prognosis of wrist injuries.
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