Application of Digital Diagnosis and Treatment Technique in Benign Mandibular Diseases

Purpose: To explore the feasibility of preoperative planning for treatment of benign mandibular lesions (BML) using digital technologies such as three-dimensional (3D) reconstruction, measurement, visualization as well as image contrast and design of neural positioning protection template (NPPT) in combination with 3D printing technology in the BML diagnosis and treatment. Methods: The 3D models of BML and inferior alveolar nerves (IAN) of 10 BML patients were reconstructed based on their digital imaging and communications in medicine (DICOM) data using MIMICS16.0 software. The models were used to visualize lesions and nerve contrast measurement and guide design of personalized NPPT and osteotomy after operation modality was determined in order to achieve accurate, minimally invasive operation with shortened intraoperative time. Results: Intraoperative NPPT application could accurately locate lesions and their scope and assist osteotomy. The measurement results were consistent with those of preoperative reconstruction and measurement. The BML were curetted completely without damage IAN. The 10 BML patients had no numbness and other discomforts in the lower lip and mandibular teeth after operation. Conclusions: The digital diagnosis and treatment technology is an effective method for functional treatment of BML patients and its application could achieve personalized, minimally invasive and precise treatment and save intraoperation time. Address correspondence and reprint requests to Wei Tang, MD, PhD, Department of Oral and Maxillofacial Surgery, West China College of Stomatology, Sichuan University, NO. 14 3rd Section, Renmin South Road. Chengdu 610041. PR China; E-mail: mydrtw@vip.sina.com Received 25 August, 2017 Accepted 23 September, 2017 This study was supported by the Program of Science and Technology Department of Sichuan Province (2014SZ0157-2). The authors report no conflicts of interest. © 2018 by Mutaz B. Habal, MD.

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