3D Cartilage Graft Matching via Digital Anatomic Mapping
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Solution Overview
Problem
Current orthopedic surgical methods for joint preservation and cartilage restoration lack precision and accuracy, leading to incomplete tissue integration, tissue damage, and inefficiencies in graft matching and handling, resulting in suboptimal patient outcomes and waste of scarce allograft tissues.
Innovation Solution
The use of computer-assisted and robotic-assisted surgical systems for precise 3D mapping and matching of donor and recipient tissues, enabling topographically-matched, anatomically-congruent, and tissue-protective grafting techniques that minimize tissue damage and optimize graft utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional manual surgical methods are used for cartilage restoration, then surgical simplicity and ease of operation are maintained, but precision and accuracy of graft matching deteriorate
Solution Approach 1:
The patent creates a digital 3D copy of the recipient's articular surface and a digital library of donor tissue maps. These digital replicas enable precise virtual matching of grafts to recipient sites before actual surgery, eliminating the need for complex physical measurement tools while achieving superior matching precision through computer-based comparison and selection algorithms.
2Object-affected harmful factors
If traditional surgical methods are used, then procedural simplicity is maintained, but tissue damage increases
Solution Approach 1:
The patent performs preliminary actions by creating detailed 3D maps of donor tissues and recipient sites before surgery, and by pre-selecting optimal graft matches through virtual trial and error in the digital environment. This preliminary planning enables the surgical team to execute the actual tissue harvesting and implantation with minimal exploration and adjustment, thereby reducing tissue damage while maintaining procedural simplicity.
3Reliability
If traditional grafting methods are used, then procedural speed is maintained, but graft integration completeness deteriorates
Solution Approach 1:
The patent replaces manual mechanical measurement and matching methods with computer-based 3D mapping and digital comparison systems. This substitution enables more complete and accurate assessment of graft-recipient compatibility, ensuring better integration outcomes. The automated digital workflow maintains or even improves surgical efficiency by eliminating time-consuming manual measurements and trial-and-error fitting during the actual surgery.
4Loss of substance
If manual tissue handling methods are used, then operational simplicity is maintained, but allograft tissue waste increases
Solution Approach 1:
The patent creates comprehensive digital 3D maps of donor allograft tissues that capture their complete anatomical characteristics. These digital copies enable virtual selection and planning of graft usage, allowing the surgical team to optimize which portions of the donor tissue to use and how to allocate them across multiple recipients. This digital planning significantly reduces physical tissue waste by ensuring maximum utilization of each scarce allograft sample before the actual surgery begins.
Data Source
AI summary
Methods and systems for cartilage restoration. A 3-dimensional anatomic map is obtained for a recipient joint tissue that includes a normal area and a diseased area. A 3-dimensional patient-specific graft model is developed that will restore the diseased area to its healthy form. A 3-dimensional anatomic map is obtained for a donor joint tissue and the recipient anatomic map and/or the graft model are compared to the donor anatomic map to determine the suitability of the associated donor joint tissue to restoring the recipient joint to its healthy form. The donor joint tissue is shaped to conform to the graft model, thereby forming a patient-specific graft.