Bimaxillary Protrusion
Conditions
Keywords
Bimaxillary protrusion, prediction, Artificial intelligence, retraction, facial
Brief summary
After developing an Artificial Intelligence model to predict the facial changes of patients with bimaxillary protrusion following orthodontic extraction of premolars and tooth retraction, participants will view a prediction in the form of a picture generated by the AI model, and their motivation will be measured using a questionnaire. Their satisfaction will be evaluated using another questionnaire after they complete their treatment. A comparison will then be made between the actual results and the AI-predicted results.
Detailed description
Subjects will be selected according to the inclusion criteria previously listed, and they will present the needed records for participating in the study. After taking initial photos of the patients before treatment, these photos will be uploaded to the AI model to generate the prediction photo, the selected subjects for the prediction group will view their AI-predicted photo, and their motivation will be evaluated by a questionnaire. The control group will not view a prediction photo; they will answer the motivation questionnaire only.
Interventions
OTHERAi prediction photo of the patients
Ai prediction photo generated by specially designed ai model to help patients see how they will look after orthodontic extraction and retraction
PROCEDUREFixed orthodontic brackets with premolars extraction
Subjects will undergo orthodontic fixed brackets treatment, four premolar extractions from the mandibular and maxillary arches, followed by anterior segment retraction. This treatment will achieve dental alignment, profile, and facial enhancement.
Sponsors
Mansoura University
Study design
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
SINGLE (Subject)
Eligibility
Sex/Gender
ALL
Age
16 Years to 30 Years
Healthy volunteers
No
Inclusion criteria
1. Adult cases age range from 16 to 30 years old 2. Skeletal Bimaxillary protrusion with SNA and SNB increased 3. Dental bimaxillary protrusion with U1- SN and IMP a increased angles 4. Class I canine and molar angle classification 5. Free from any systemic disease 6. free from any dental surgery
Exclusion criteria
Clefts of the lip or palate and craniofacial syndromes; orthognathic patients will not be included because they do not represent the general adult orthodontic population
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Participants motivation for treatment | from three weeks to six months | The motivation questionnaire will be performed to test if the prediction picture will affect their motivation to continue the treatment and proceed with the extraction decision. The questions will be in the multiple-choice format. Open-ended comments were allowed at the end of each question to collect data concerning reasons, barriers, and encouraging factors that the authors may not have considered. The questionnaire Arabic version will be used as it was validated by authors Felemban et al. in 2022. Based on the English version used by Chambers et al. 2019 and Laothong et al. in 2017, a modification will be added to the questionnaire regarding a question about how the prediction picture affected their motivation. After the treatment of each case, a 5-point Likert scale will be used to measure their satisfaction with the treatment and whether the net result matches the AI prediction, with 1 for not satisfied at all and 5 for satisfied. |
Countries
Egypt
Outcome results
None listed