Acta Scientific Dental Sciences (ASDS)(ISSN: 2581-4893)

Case Study Volume 6 Issue 6

Application of Virtual Surgical Planning and Rapid Prototyping in Maxillofacial Trauma Surgery: A Case Series

Nitish Chandra Gupta*, Chitra Chakravarthy, Shivaraj S Wagdargi and Ravi S Patil

Department of Oral and Maxillofacial Surgery, Navodaya Dental College, Raichur, Karnataka, India

*Corresponding Author: Nitish Chandra Gupta, Department of Oral and Maxillofacial Surgery, Navodaya Dental College, Raichur, Karnataka, India.

Received: April 18, 2022; Published: May 09, 2022

Abstract

Mandibular fractures are one of the most common traumatic injuries which require treatment from oral and maxillofacial sur- geon. With the recent advancements in computer aided surgical planning and 3d printing technique have provided new tool for predictable management of maxillofacial trauma and reconstruction. Purpose of this study is to show various applications of virtual surgical planning and 3d printing in maxillofacial trauma surgery. Using patient’s high resolution CT scan virtual surgical planning followed by mock surgery on 3d printed mandibular model was performed. Pre-adapted miniplates were used to accurately transfer preoperative plan intra-operatively. Use of virtual surgical planning and mock surgery on 3d printed model enabled us to accurately transfer preoperative plan intraoperatively using pre adapted miniplates. Duration of surgery was significantly reduced and com- plications of general anesthesia were minimal. Also, virtual surgical planning enables operator to formulate best possible treatment plan for the patient.

Keywords: 3-D Printing; Mandibular Fractures; Stereolithography

References

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Citation

Citation: Nitish Chandra Gupta., et al. “Application of Virtual Surgical Planning and Rapid Prototyping in Maxillofacial Trauma Surgery: A Case Series". Acta Scientific Dental Sciences 6.6 (2022): 28-33.

Copyright

Copyright: © 2022 Nitish Chandra Gupta., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




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Acceptance rate30%
Acceptance to publication20-30 days
Impact Factor1.278

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