Surgical Planning System for Hip Implant Orientation
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Solution Overview
Problem
Current surgical planning for hip replacement lacks precision in determining the optimal position and orientation of implants, leading to varying short-term and long-term patient satisfaction due to inconsistent pelvic tilt and anatomical variations, which increases the risk of dislocation and wear issues.
Innovation Solution
A surgical planning system utilizing a non-transitory computer-readable medium and processor to classify patients based on pelvic tilt, construct patient-specific models, and simulate implant placement, determining a safe zone for implant positioning and orientation through finite element modeling, reducing dislocation risk and wear characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional surgical planning methods are used for hip replacement, then the surgical procedure can be performed, but the precision in determining optimal implant position and orientation is insufficient, leading to varying patient satisfaction and increased dislocation risk
Solution Approach 1:
The system performs preliminary classification of patients based on pelvic tilt measurements before surgical planning. By measuring pelvic tilt in multiple body positions and classifying patients into safe zones in advance, the system determines optimal implant positioning parameters before the actual surgery, thereby improving precision and reducing intraoperative uncertainty.
Solution Approach 2:
The system measures pelvic tilt as a key parameter in multiple different body positions (standing, sitting, supine) to capture the dynamic range of motion. By analyzing parameter changes across these positions, the system identifies safe zones that account for anatomical variations and movement patterns, leading to more precise and reliable implant positioning.
2Manufacturing precision
If patient-specific models are constructed using detailed imaging, then modeling precision improves, but exposure to ionizing radiation increases
Solution Approach 1:
The system segments the patient classification process into stages: first, a preliminary classification is performed using minimal radiation exposure to determine the safe zone category; then, only patients requiring higher precision undergo detailed imaging for custom model construction. This segmented approach reduces overall radiation exposure while maintaining necessary modeling precision for each patient group.
Solution Approach 2:
The system applies partial action by using simplified classification models for the majority of patients and reserving detailed imaging and custom model construction only for cases where higher precision is clinically necessary. This reduces unnecessary radiation exposure while ensuring adequate precision for each patient's specific needs.
Data Source
AI summary
Systems and methods are provided for model-based surgical planning. A surgical planning system can include a prescreening tool configured to provide an initial classification of a set of patients according to a pelvic tilt, measured as a position of a pelvis of the patient relative to the position of a spine of the patient, in a plurality of body positions. A model constructor is configured to construct a model of a pelvis of the patient according to the initial classification of the patient. A finite element modeling component is configured to simulate relative motion of the model of the pelvis and a model of an implant. A patient classifier is configured to select at least one of a position of the implant and an orientation of the implant for the patient according to the simulated relative motion.