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- Title
A method of comparing virtual reality orthognathic surgical predictions and postsurgical treatment outcomes.
- Authors
Sherbel, Jason; Yatabe, Marilia; Cevidanes, Lucia; Ruellas, Antonio; Aronovich, Sharon; Ehardt, Lauren; Ames, Matthew; Kim-Berman, Hera
- Abstract
Background: Orthognathic surgical predictions using 2D cephalometric films, 2D computer-assisted planning, and 3D computer-assisted surgical simulation are currently accepted methods to evaluate postsurgical outcomes. Recent advancements have paved the way for a new method of surgical prediction using immersive virtual reality. The objective of the study was to evaluate a method of comparing virtual reality (VR) orthognathic surgical predictions with postsurgical treatment outcomes of patients. Methods: Pre- and postsurgical cone-beam computed tomography (CBCT) data of 14 patients who underwent one-jaw mandibular advancement surgery were collected. The presurgical CBCTs were rendered for the VR surgical manipulation, and the prediction was exported as a STL file. Skeletal and dental landmarks were placed, and differences were calculated in all dimensions (Right/Left, Anterior/Posterior, Superior/Inferior, 3D distance, pitch, roll, yaw). A one-sample t-test was conducted to determine clinical significance (p < 0.05). Results: The differences in the linear measurements of component dimensions for VR surgical prediction and actual postsurgical results were less than 2 mm (p < 0.05), with the exceptions of left gonial angle in the right/left dimension; right and left gonial angles, left mental foramen, and gnathion in the anterior/posterior dimension; and all 3D distance measurements. The difference in all angular measurements (pitch, roll, yaw) were less than 4° (p < 0.05). Conclusions: The described method was successful in evaluating clinically acceptable limits in 3D distance measurements, component (x, y, z) dimensions and for pitch, yaw and roll of virtual reality surgical predictions and the actual surgical outcome.
- Publication
Virtual Reality, 2023, Vol 27, Issue 4, p3089
- ISSN
1359-4338
- Publication type
Article
- DOI
10.1007/s10055-023-00855-3