3D-modeling of sternal chondrosarcomas from angio-CT-Scan: Clinical application and surgical perspectives
Introduction Malignant bone tumors of the sternum are rare. Their surgical treatment remains largely based on precise knowledge of preoperative imaging in order to define appropriate margins during tumor resection. We provide a practical 3-dimensional (3D) modeling method to better understand the re...
| Autores: | , , , , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2021 |
| País: | Argentina |
| Institución: | Universidad Nacional de La Plata |
| Repositorio: | SEDICI (UNLP) |
| Idioma: | inglés |
| OAI Identifier: | oai:sedici.unlp.edu.ar:10915/129916 |
| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/129916 |
| Access Level: | acceso abierto |
| Palabra clave: | Ciencias Médicas Sternum Chondrosarcoma Patient-specific modeling 3D printing |
| Sumario: | Introduction Malignant bone tumors of the sternum are rare. Their surgical treatment remains largely based on precise knowledge of preoperative imaging in order to define appropriate margins during tumor resection. We provide a practical 3-dimensional (3D) modeling method to better understand the relationships between these tumors and neighboring organs. Methods Axial view images from CT-scans were processed by the open source software Horos® after anonymization. A first surface reconstruction was carried out by the software to form a digital mesh. This raw model was processed by Meshmixer® software (Autodesk™) in order to remove artefacts. These models underwent a surface reduction of the mesh using Meshlab® software and were hosted on a secure private platform. Results Six angio CT-Scan were performed in three patients with chondrosarcomas of the sternum. The segmentation of organs and vessels has made it possible to create a real 3-D anatomical board. Each of these protected models can be viewed on our server and can be manipulated virtually on 360° using the secure links provided in this article. 3D vision was available using inexpensive cardboard virtual reality glasses. Conclusion The use of computer modeling could help in the teaching of anatomy, but also in the understanding of the disease by the patient himself. One of the perspectives would be the 3D printing of biocompatible materials in order to carry out tailor-made reconstructions. |
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