Development of Artificial Intelligence based program to assess the level of maturation of bone and to detect any abnormalities in the upper spine by using head x-rays (side view) of children having cleft, that is, split in the upper lip and palate.
Not Applicable
- Conditions
- Health Condition 1: Q378- Unspecified cleft palate with bilateral cleft lip
- Registration Number
- CTRI/2023/09/057228
- Lead Sponsor
- Gaithoiliu Kamei
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- ot Yet Recruiting
- Sex
- Not specified
- Target Recruitment
- 0
Inclusion Criteria
Individuals having cleft lip and palate without any associated syndromes, congenital disorders, previous history of trauma/ illness.
Exclusion Criteria
Individuals who are not age-matched with the inclusion criteria.
Individuals having cleft lip and palate associated with any associated syndromes, congenital disorders, previous history of trauma/ illness.
Individuals with systemic diseases affecting bone density.
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method To be able to detect & compare skeletal age in cleft & non cleft patientsTimepoint: One year
- Secondary Outcome Measures
Name Time Method To accurately detect anomalies in the cervical vertebrae in cleft & non cleft patientsTimepoint: 1 year