Accuracy in predicting soft tissue changes of orthodontic class III cases using Dolphin® software.

Abstract

OBJECTIVES:

The prediction of posttreatment outcomes is conducive to the final determination of ideal therapeutic options. However, the prediction accuracy in orthodontic class III cases is unclear. Therefore, this study conducted exploration on prediction accuracy in orthodontic class III patients using the Dolphin® software.

MATERIALS AND METHODS:

In this retrospective study, lateral cephalometric radiographs of pre- and posttreatment were collected from 28 angle class III adults who received completed non-orthognathic orthodontic therapy (8 males, 20 females; mean age = 20.89 ± 4.26 years). The values of 7 posttreatment parameters were recorded and inserted into the Dolphin® Imaging software to generate a predicted outcome, and then the prediction radiograph and actual posttreatment radiograph were superimposed and compared in terms of soft tissue parameters and landmarks.

RESULTS:

The prediction showed significant differences with the actual outcomes in nasal prominence (the difference between the prediction and the actual value was - 0.78 ± 1.82 mm), the distance from the lower lip to the H line (0.55 ± 1.11 mm), and the distance from the lower lip to the E line (0.77 ± 1.62 mm) (p < 0.05). Point subnasale (Sn) (an accuracy of 92.86% in the horizontal direction and 100% in the vertical direction in 2 mm) and point soft tissue A (ST A) (an accuracy of 92.86% in the horizontal direction and 85.71% in the vertical direction in 2 mm) were proven to be the most accurate landmarks, while the predictions in the chin region were relatively inaccurate. Furthermore, the predictions in the vertical direction were of higher accuracy compared to the horizontal direction except for the points around the chin.

CONCLUSIONS:

The Dolphin® software demonstrated acceptable prediction accuracy in midfacial changes in class III patients. However, there were still limitations for changes in the chin and lower lip prominence.

CLINICAL RELEVANCE:

Clarifying the accuracy of Dolphin® software in predicting soft tissue changes of orthodontic class III cases will facilitate physician-patient communication and clinical treatment.

• Authors: Ke Xing, Hongxiang Mei, Qingchen Feng, Shuqi Quan, Guanning Zhang, Ao Jia, Hongshan Ge, Dan Mei, Juan Li
• Journal: Clinical oral investigations (Clin Oral Investig) Vol. 27 Issue 8 Pg. 4531-4539 (Aug 2023) ISSN: 1436-3771 [Electronic] Germany
• PMID: 37285103 (Publication Type: Journal Article)
• Copyright: © 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Topics

• Male
• Female
• Animals
• Face (anatomy & histology)
• Retrospective Studies
• Dolphins
• Chin (anatomy & histology)
• Software
• Malocclusion, Angle Class III
• Lip (diagnostic imaging)
• Cephalometry (methods)
• Mandible