Assessment of Visualized Treatment Objective and Post-Treatment Outcome in Skeletal Class II Functional Cases: A Comparative Study
Published: 2023-06-26
Page: 211-219
Issue: 2023 - Volume 6 [Issue 1]
Kevin Joseph Nirayath *
Department of Orthodontics, Yenepoya Dental College, Yenepoya University, Mangalore, India.
Akhter Husain
Department of Orthodontics, Yenepoya Dental College, Yenepoya University, Mangalore, India.
*Author to whom correspondence should be addressed.
Abstract
Objective: Predicting facial growth would be of great benefit in planning orthodontic treatment. Successful prediction requires specifying growth's magnitude, timing, and direction in a baseline or reference point context. This study aimed to analyze the accuracy of visual treatment objectives in predicting the treatment outcome for patients who had undergone Class II functional therapy. The objectives included comparing clinical and Dolphin visual treatment objectives to the post-treatment profile changes and predicting skeletal, dental, and soft tissue response.
Methods: Pre-treatment and post-treatment photographs were utilized, including clinical VTO and Lateral cephalogram. The pre-treatment cephalogram and profile photographs were used to construct the Dolphin VTO image. The Dolphin VTO analysis was then compared with the post-treatment digitized cephalogram analysis to determine the accuracy of the VTO by comparing predetermined points on the VTO to the same points on the post-treatment cephalogram tracing.
Results: The Dolphin simulation software accurately predicted treatment outcomes for skeletal parameters except for lower anterior facial height. For dental parameters, the software inaccurately predicted the treatment outcomes for upper incisor proclination. Simulation software inaccurately predicted the H angle, LL to E line, and LL to H Line for soft tissue parameters.
Conclusion: The outcome of this study concluded that the skeletal, dental, and soft tissue prediction was acceptable using the Dolphin visual treatment objective prediction software.
Keywords: Dolphins, incisor, cephalometry, prognosis
How to Cite
Downloads
References
Subtelny JD. A longitudinal study of soft tissue facial structures and their profile characteristics, defined in relation to underlying skeletal structures. Am J Orthod. 1959;45:481-507.
Gossett, Christel Buck, et al. Prediction accuracy of computer-assisted surgical visual treatment objectives as compared with conventional visual treatment objectives. Journal of Oral and Maxillofacial Surgery. 2005;609-617.
Soheilifar Sanaz, et al. Prediction accuracy of Dolphin software for soft-tissue profile in Class I patients undergoing fixed orthodontic treatment. Journal of the World Federation of Orthodontists. 2022;29-35.
Thames TL, Sinclair PM, Alexander RG. The accuracy of computerized growth prediction in Class II high angle cases. Am J Orthod. 1985;87:398-405.
Proffit WR. Contemporary Orthodontics, Fourth Edition, 2007 Mosby Inc. pages 274-276 Ricketts RM. A principle of arcial growth of the mandible. Angle Orthod. 1972;42:368-386.
Solem R. Christian, et al. Three-dimensional soft-tissue and hard-tissue changes in the treatment of bimaxillary protrusion. Am J Orthod Dentofacial Orthop. 2013;218-228.
Sample LB, Sadowsky PL, Bradley E. An evaluation of two VTO methods. Angle Orthod. 1998;68(5):401-8
Zhang, Xu; Mei, Li; Yan, Xinyu; Wei, Jieya; Li, Yanxi; Li, Hanshi; Li, Zhengzheng; Zheng, Wei; Li, Yu. Accuracy of computer-aided prediction in soft tissue changes after orthodontic treatment. Am J Orthod Dentofacial Orthop. 2018;156(6): 823–831.
Akhoundi, MS Ahmad, et al. Comparison of an imaging software and manual prediction of soft tissue changes after orthognathic surgery. Journal of Dentistry. 2012;178.
Modabber A, Baron T, Peters F, et al. Comparison of soft tissue simulations between two planning software programs for orthognathic surgery. Sci Rep. 2022; 12:5013.
Jacobson A, Sadowsky PL. A Visualized treatment objective. Jnl Clin Orthod. 1980; 14: 554-571.