A Pseudo-Rigid-Body Model of the Human Spine to Predict Implant-Induced Changes on Motion

摘要: Injury, instrumentation, or surgery may change the functional biomechanics of spine. Adverse changes at one level affect adjacent levels. Modeling these can increase understanding adjacent-level effects and help in creation devices that minimize adverse outcomes. The current modeling techniques (e.g., animal models, vitro testing, finite element analysis) used to analyze are costly not readily accessible clinician. It is proposed pseudo-rigid-body model(PRBM) be accurately predict a quick cost effective manner lend itself clinically relevant tool for identifying various treatment options patients with complex surgical indications. A PRBM lumbar spine (lower back) was developed using compliant mechanism analysis approach. global moment-rotation response, relative motion, local response cadaveric specimen were determined through experimental testing under three conditions: intact, fused, implanted prototype total disc replacement. modeled compared values obtained in-vitro cases. predicted entire specimen. Additionally, motion patterns resulting models show particular promise evaluating procedures implants clinical setting early stage design process.