Virtual Hip Model Simulation for Arthroplasty Instability
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Solution Overview
Problem
Instability issues, such as dislocation, following arthroplasty surgeries like total hip arthroplasty (THA) are challenging to address due to various causes like bone-on-bone impingement and implant malposition, with existing surgical interventions being invasive and not always effective, and conservative treatments failing to improve stability.
Innovation Solution
A system and method using virtual modeling and simulation to preoperatively evaluate impingement by analyzing images, generating a three-dimensional model, simulating movement, and identifying surgical plans that balance effectiveness and invasiveness, including options like revising implant positions, resecting bone, or using dual mobility bearings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If surgical intervention is performed to treat instability, then stability improvement is achieved, but invasiveness and risk of further dislocation increase
Solution Approach 1:
The system performs virtual modeling and simulation of surgical interventions before actual surgery is performed. Multiple surgical plans are pre-evaluated for effectiveness and invasiveness, allowing the surgical team to select the optimal plan beforehand, thereby reducing intraoperative complexity and improving predictability of outcomes.
Solution Approach 2:
The system creates virtual copies of the patient's anatomy and implant components through 3D modeling. These virtual models allow simulation of surgical scenarios without actual physical intervention, enabling preoperative planning and assessment of different treatment approaches before committing to invasive procedures.
2Reliability
If multiple surgical options are explored, then treatment effectiveness is improved, but decision complexity increases
Solution Approach 1:
The system provides quantitative feedback by calculating and comparing treatment effectiveness and invasiveness metrics for multiple surgical plans. This objective feedback mechanism helps the surgical team systematically evaluate options and make informed decisions about which intervention to proceed with, reducing subjective decision complexity.
Solution Approach 2:
The system evaluates different surgical plans by changing and comparing key parameters such as range of motion improvement, dislocation risk reduction, and invasiveness levels. This parameter-based comparison framework simplifies the decision-making process by transforming complex surgical choices into comparable quantitative metrics.
3Ease of operation
If conservative treatment is attempted, then invasiveness is reduced, but treatment effectiveness decreases
Solution Approach 1:
The system enables preoperative identification of the most appropriate treatment level (conservative vs. surgical) by simulating outcomes in advance. This allows clinicians to determine beforehand whether conservative measures are likely to succeed or if surgical intervention is necessary, avoiding trial-and-error approaches.
Solution Approach 2:
Virtual modeling creates accurate digital replicas of the patient's hip anatomy and implant components, allowing simulation of conservative treatment scenarios and their predicted outcomes. This enables evidence-based decision-making about whether non-surgical options are sufficient before proceeding to invasive procedures.
Data Source
AI summary
A computing device uses a plurality of images of arthroplasty to measure implant position. A virtual three-dimensional model is generated using at least some of the plurality of images. Moreover, the computing device configured in accordance with the present application simulates, as a function of the virtual three-dimensional model, movement at the site. As a function of the simulating, the computing device determines occurrence, location and type of impingement, and identifies, using the determined location and type of the impingement, a plurality of surgical plans for treating the impingement, wherein each of the surgical plans has a respective degree of treatment effectiveness and a respective degree of invasiveness. Further, the computing device selects one of the surgical plans in accordance with the selected plan's predetermined respective degree of effectiveness and in accordance with the selected plan's predetermined respective degree of invasiveness.