comparing the facial changes using a computer software obtained after treatment with appliance to correct forward jaw position in teenagers
Not Applicable
- Conditions
- Health Condition 1: K089- Disorder of teeth and supporting structures, unspecified
- Registration Number
- CTRI/2022/11/047009
- Lead Sponsor
- DR SujiSDevan
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- ot Yet Recruiting
- Sex
- Not specified
- Target Recruitment
- 0
Inclusion Criteria
Patient with skeletal Class II relation
Patient with mandibular retrognathy
Patient with Overjet >5mm
Bilateral Class II molar relation
Patients with Frankfort Mandibular angle 17-22
Exclusion Criteria
Patient with TMJ dysfunction
Patient with congenitally missing teeth
Class II surgical cases
Patients with Peridontal diseases
Systemic diseases that may affect orthodontic treatment results
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Prediction of soft tissue and facial changes using machine learning algorithm in classII functional cases.Timepoint: Eight months
- Secondary Outcome Measures
Name Time Method Accuracy of prediction of soft tissue and facial changes using machine learning algorithm in Class II functional casesTimepoint: Six months