Planejamento pré-cirúrgico através de impressão 3D para implantação de endoprótese

Abstract

Osteosarcoma is a malignant bone tumor that primarily affects young individuals, with a higher incidence in males. Traditional treatment involved amputation, but advances in systemic therapies, surgical techniques, and the use of endoprostheses have improved patients' quality of life. 3D printing plays a crucial role in pre-surgical planning, allowing for the customization of endoprostheses. The choice of materials is crucial to ensure the safety and effectiveness of endoprostheses, with stainless steel, titanium, and high molecular weight polyethylene being options with advantages and disadvantages. The use of 3D printing enhances the accuracy of surgical planning, providing better outcomes for patients. The research explored osteosarcoma, its treatments, and the use of 3D printing in surgical planning, using data from academic databases. DICOM medical images were processed to create 3D models. The authors sought to use 3D printing to improve osteosarcoma surgical planning. The research revealed the effectiveness of digitally guided planning surgeries. However, obtaining suitable DICOM images faced challenges of cost and access, leading to the creation of 3D models from available X-ray images. This study focuses on the implementation of 3D printing in surgical planning for osteosarcoma, avoiding amputations with endoprostheses. The literature suggests that this results in faster and safer surgeries. However, obtaining DICOM images proved to be hallenging. The authors created 3D models from X-ray images, demonstrating the feasibility of the approach. The research points to the promising implementation of 3D printing in osteosarcoma surgical planning, reducing surgery time and providing an accurate analysis of the extent of the tumor. 3D printing in the pre-surgical planning of osteosarcoma benefits surgery, reducing time and improving patients' quality of life, despite challenges in obtaining DICOM images. Clinical studies are needed to validate the methodology