3D-Printed Patient-Specific Spine Models as Preoperative Surgical Simulators for Complex Congenital Scoliosis in Low-Middle Income Countries CSR Proposal

3D-printed patient-specific spine models as preoperative surgical simulators in deformity correction

Objective

• The objective of this project is to develop low-cost 3D-printed patient-specific spine models that accurately replicate the morphological and structural parameters of human bone. These models will serve as preoperative surgical simulators for spine surgeons, allowing them to understand complex spinal anatomy, practice surgical procedures, and avoid complications such as pedicle screw misplacement during actual surgeries. The project aims to improve surgical outcomes, reduce operating time, minimize blood loss, and enhance training opportunities for surgeons, particularly in low-middle income countries where access to advanced technologies may be limited.

Description

• Develop 3D-printed patient-specific spine models with precise replication of human bone morphology and biomechanical parameters., Create a comprehensive lookup table for 3D printing materials and optimal printing parameters for various bone morphometrics., Enable spine surgeons to simulate surgeries on these models, providing tactile feedback and preoperative practice., Minimize the risk of pedicle screw misplacement and complications during complex congenital scoliosis correction surgeries., Enhance clinical and neurological outcomes for patients undergoing spine deformity correction procedures., Serve as an alternative to expensive navigation and robotic technologies, making complex surgeries more accessible., Offer a valuable training tool for surgeons, potentially replacing the need for cadavers.

Impact

• This project has significant potential to impact the field of spine surgery, especially in regions with a high prevalence of spine deformities. By developing 3D-printed patient-specific spine models, it addresses a critical need for preoperative simulation and training. Surgeons can gain a better understanding of complex spinal anatomy, reduce surgical errors, and ultimately improve patient outcomes. Additionally, the low-cost nature of these models makes them a viable alternative to expensive navigation and robotic technologies, making advanced surgical techniques more accessible in low-middle income countries. The project not only benefits patients but also contributes to the professional development of surgeons.