Abstract
Abstract Background: Planning in orthopedic surgery can be supported by various virtual reconstruction and tri-dimensional (3D) segmentation programs, but this topic requires further study to identify software solutions that make the process duration more efficient. Objective: To validate 3D software solutions that integrates 3D technologies for patient-specific applications in orthopedics in order to minimize the extent of surgery. Method: We have used the Democratiz3D software solution for patient-specific modeling and surgical planning. Results: Validation of the proposed methodology was performed for the preoperative planning of a 28-year-old male patient who had a Schatzker type II tibial plateau fracture. Conclusion: The 3D planning capabilities of the software solution are a valuable tool for surgeons in exploring the nature of fractures and formulating an appropriate surgical plan which creates perspectives for personalized surgery.
Highlights
Optimized radiography and computed tomography (CT) imaging are essential for individualized therapy planning [1]
Planning in orthopedic surgery can be supported by various virtual reconstruction and 3D segmentation programs, such as VoXim [18], or can be implemented as an OsiriX plugin [19]
In computed tomography, the gray scale is expressed in Hounsfield units, in which metallic materials have a value of 3072 Hounsfield units, water has a value of 0 Hounsfield units, while air has a negative value of -1024 Hounsfield units
Summary
Optimized radiography and computed tomography (CT) imaging are essential for individualized therapy planning [1] It demands excellent resolution for the delineation of complex fractures and joint alignment after trauma [2], which intra-operative can be achieved with mobile special C-arms [3]. Planning in orthopedic surgery can be supported by various virtual reconstruction and 3D segmentation programs, such as VoXim [18], or can be implemented as an OsiriX plugin [19]. This topic requires further study to identify software solutions that make the process more efficient. Optimization of post-processing algorithms, rather than modifications of image acquisition, may increase the image quality [20]
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
