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Three-Dimensional Printing Guided for Double Meniscal Allograft Transplantation
Paula Andrea Sarmiento Riveros1, Alejandro Jaramillo Quiceno2, Rubén Darío Arias Pérez3
1Orthopedic and Traumatology Service Clinica del Campestre, Medellín, Colombia.
Arthroscopy Techniques
|July 14, 2025
Summary
Three-dimensional (3D) printing aids complex meniscus allograft transplantation by enabling precise planning and graft selection. This innovative approach minimizes tunnel overlap risks, enhancing surgical outcomes in challenging knee reconstructions.
Area of Science:
- Orthopedic Surgery
- Biomedical Engineering
- Radiology
Background:
- Complex meniscus allograft transplantation, especially double transplants combined with ligament reconstruction, faces risks of tunnel overlap.
- Inadequate allograft sizing compromises graft integrity and can lead to treatment failure.
Purpose of the Study:
- To introduce a preoperative protocol utilizing 3D printing for enhanced planning in meniscus allograft transplantation.
- To mitigate risks associated with tunnel overlap and improve graft selection in complex orthopedic procedures.
Main Methods:
- Tomography is used to create a real-size 3D printed model of the proximal tibia.
- The 3D model aids in selecting the appropriate meniscal allograft size.
- Surgical teams use the model to determine precise drilling parameters, preventing tunnel overlap during double meniscus allograft transplantation and anterior cruciate ligament reconstruction.
Main Results:
- The 3D model facilitates accurate allograft selection and preoperative planning.
- It enables precise determination of drilling parameters, ensuring no tunnel overlap.
- The 3D model serves as a surgical guide for accurate tunnel and graft placement.
Conclusions:
- 3D printing offers a versatile tool for planning meniscus transplants, particularly in revision or complex cases.
- This technique improves preoperative visualization and surgical precision.
- It enhances surgical outcomes by ensuring optimal graft selection and precise replication of surgical parameters.

