Virtual Surgical Planning in Mandibular Segmental Resection

Plain-language summary

Purpose: Odontogenic tumors, predominantly affecting the mandibular region, pose significant challenges in terms of treatment planning, particularly when requiring segmental mandibular resection. This study aims to evaluate the effectiveness of virtual planning and 3D modeling in comparison to traditional surgical methods for treating mandibular odontogenic tumors, focusing on aspects such as accuracy, clinical outcomes, and patient quality of life. Method: The study is designed as a two-phase investigation. Phase 1 involves in vitro research to create high-precision 3D models and surgical support instruments. Phase 2 consists of a clinical trial with two groups: the Virtual Surgery Group using pre-bent reconstruction plates, 3D mandibular models and surgical guides and the Conventional Surgery Group. Data collection includes assessing model accuracy, comparing clinical outcomes, analyzing postoperative CT scans, and evaluating patient quality of life. Expected Results: Investigators anticipate that the virtual planning and 3D modeling approach will yield more accurate surgical procedures, improved postoperative outcomes, and enhanced patient quality of life compared to traditional methods. This is expected to be particularly beneficial in maintaining the stability of the condyle at the postoperative site, reducing complications related to mandibular function, and potentially reducing the need for additional surgeries. Conclusions: If the investigators study demonstrates the superiority of virtual planning and 3D modeling in treating mandibular odontogenic tumors, it could significantly impact the field of oral and maxillofacial surgery by offering a more precise and effective treatment approach. This could ultimately lead to improved patient outcomes and a reduction in the challenges associated with these complex surgical procedures.

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