Virtual Trial Reduction for Hip Arthroplasty
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Solution Overview
Problem
Current methods for assessing and optimizing the positioning of prosthetic components during total hip arthroplasty are inefficient, particularly in determining pelvic and femoral coordinates, leading to instability and inappropriate leg length, which can require reoperation.
Innovation Solution
The use of surgical navigation systems with a single intraoperative anterior-posterior fluoroscopic image to establish pelvic and femoral coordinate systems, allowing for a virtual trial reduction to accurately assess and adjust leg length, offset, and range of motion before actual implantation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional physical trial reduction methods are used to assess prosthetic positioning, then direct measurement of leg length and range of motion is achieved, but operation time is prolonged and positioning accuracy is reduced due to repeated physical adjustments
Solution Approach 1:
The patent creates a virtual copy of the patient's hip anatomy and prosthetic components through 3D imaging and navigation systems. This virtual model allows surgeons to perform trial reductions computationally rather than physically, eliminating the need for repeated insertion and removal of actual trial components while maintaining measurement accuracy for leg length, offset, and range of motion assessment.
Solution Approach 2:
The patent replaces the mechanical trial reduction system with a computational simulation system. Instead of physically manipulating prosthetic components and measuring them with mechanical instruments, the system uses computer-based virtual reality technology to simulate the entire trial reduction process, calculate positioning parameters, and predict functional outcomes before actual implantation.
2Manufacturing precision
If multiple physical trial reductions are performed to optimize prosthetic placement, then positioning accuracy improves, but surgical complexity and risk of contamination increase
Solution Approach 1:
The patent performs all trial reduction assessments and optimization calculations in the virtual environment before any actual implantation occurs. The surgical plan, including optimal component positioning and sizing, is fully determined through virtual simulations, allowing the surgical team to proceed directly to final implantation without needing to perform multiple physical trial reductions in the operating room.
Solution Approach 2:
The patent introduces a computational simulation environment as an intermediary between surgical planning and actual implantation. This virtual reality system acts as a mediator that allows complete testing and optimization of prosthetic placement without requiring physical manipulation of components during surgery, thereby simplifying the actual surgical procedure while maintaining high precision.
3Productivity
If virtual trial reduction is implemented using navigation systems, then operation time is reduced and positioning accuracy is improved, but initial setup complexity and equipment requirements increase
Solution Approach 1:
The patent integrates multiple functions into a single virtual reality platform: 3D image acquisition, anatomical model construction, prosthetic component library, virtual trial reduction simulation, and surgical planning all occur within one integrated system. This multi-functional approach consolidates what would otherwise require multiple separate devices and procedures into a unified navigation system that can be learned and operated as a single toolset.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables precise and efficient identification and placement of prosthetic components, reducing operation time and the risk of reoperation by allowing virtual testing of prosthetic combinations, ensuring accurate alignment and function.
Implementation Method 1
a first two-dimensional image of the pelvis and a second two-dimensional image of the femur are obtained with a fluoroscopic imaging system
Implementation Method 2
Surgical navigation systems use light, sound (specifically, ultrasound) or electromagnetic signals to determine the position of reference elements in an operating room
Data Source
AI summary
A patient-specific pelvic coordinate system is produced from a single near AP intra-operative image of the patient, obviating the need for use of a patient tracker.


