Perception of computerised predictions using cephalometric software facad in orthognathic surgery

Abstract

Introduction: Orthognathic surgery has become a more acceptable treatment modality in conjunction with orthodontic treatment as esthetic awareness has been increased. The criteria for success of an orthognathic surgical procedure are not only centred on the correction of the skeletal and dental abnormalities, but also on an esthetic improvement as judged by both patients and practitioners. Using computer softwares for prediction of orthognathic surgical outcome is gaining more popularity. It was the purpose of the present study to examine the efficacy of prediction of soft tissue changes after performing orthognathic surgeries using the cephalometric software program FACAD. Aims and Objectives: The aim of the study is to assess the perception of facial profile attractiveness and soft tissue outcome in predicted profile images in patients undergoing orthognathic surgery. Materials and Methods: Total of 50 samples aged 20 to 25 years (35 females and 15 males) 20 skeletal class I bimaxillary protrusion cases, 20 skeletal class II cases and 10 skeletal class III cases. Cephalometric radiographs were scanned using Epson V 700 film scanner. The radiographic images were analysed using cephalometric software (FACAD 3.6 )and traced by identifying and placing a series of cephalometric points, both bony and soft tissue. Result: The study suggested that the predicted profile images of all the patients were attractive and rankings were decreasing from class I bimaxillary class III and then class II. The least score of attractiveness were given to class II patients. The predicted profile images of class I bimaxillary patients were more attractive. Conclusion: this study showed that the predicted profile images were attractive as suggested by three raters with class I bimaxillary most attractive and class II least attractive. In overall, laypersons and dental students ratings were somehow similar in the assessment of facial profile attractiveness in the predicted profile images.