title: Comparison of an imaging software and manual prediction of soft tissue changes after orthognathic surgery.
abstract: OBJECTIVE
  Accurate prediction of the surgical outcome is important in treating dentofacial deformities. Visualized treatment objectives usually involve manual surgical simulation based on tracing of cephalometric radiographs. Recent technical advancements have led to the use of computer assisted imaging systems in treatment planning for orthognathic surgical cases. The purpose of this study was to examine and compare the ability and reliability of digitization using Dolphin Imaging Software with traditional manual techniques and to compare orthognathic prediction with actual outcomes.
  
  
  METHODS
  Forty patients consisting of 35 women and 5 men (32 class III and 8 class II) with no previous surgery were evaluated by manual tracing and indirect digitization using Dolphin Imaging Software. Reliability of each method was assessed then the two techniques were compared using paired t test.
  
  
  RESULTS
  The nasal tip presented the least predicted error and higher reliability. The least accurate regions in vertical plane were subnasal and upper lip, and subnasal and pogonion in horizontal plane. There were no statistically significant differences between the predictions of groups with and without genioplasty.
  
  
  CONCLUSIONS
  Computer-generated image prediction was suitable for patient education and communication. However, efforts are still needed to improve accuracy and reliability of the prediction program and to include changes in soft tissue tension and muscle strain.
authors.affiliation: Associate Professor, Dental Research Center, Orthodontic Department, Tehran University of Medical Sciences, Tehran, Iran.
authors.forename: M S
authors.initials: MS
authors.lastname: Ahmad Akhoundi
authors.forename: G
authors.initials: G
authors.lastname: Shirani
authors.forename: M
authors.initials: M
authors.lastname: Arshad
authors.forename: H
authors.initials: H
authors.lastname: Heidar
authors.forename: A
authors.initials: A
authors.lastname: Sodagar
keywords: Dolphin Imaging Software; Prediction; Visual Treatment Objectives (VTO)