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This study is a retrospective analysis that evaluates the accuracy of 3D soft tissue simulation in bimaxillary orthognathic surgery for Class III dentofacial deformities. The study integrates segmented 3D facial conformation meshes and regional aesthetic subunits to enhance soft tissue prediction accuracy. Key Aspects of the Study: Study Design: Retrospective analysis based on existing CBCT scans of patients who have undergone maxillary advancement and mandibular setback surgery. Objective: To assess the accuracy of soft tissue predictions using Dolphin software in different facial regions, particularly in midline vs. lateral regions. Methodology: .CBCT superimposition using voxel-based registration. .Soft tissue surface analysis via generic mesh conformation and dense correspondence analysis. .Error assessment in X, Y, Z dimensions rather than Euclidean distance. .Color-coded maps
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