Anchorage Planning, Cases That Need Extraction of Teeth in Orthodontics
Conditions
Brief summary
It was introduced in dentistry to be used in innovative research and development in addition to facilitating the decision in complicated cases and ensure high patient care quality. In the field of Orthodontics in specific, many studies previously mentioned the idea of artificial intelligence showing very promising results and high degree of reliability. It was used in different domains in orthodontics like diagnosis, treatment planning, evaluation of treatment outcome
Detailed description
In this study, the aim is to access the efficiency of the new decision support system in determining whether the decision is extraction or non-extraction and the anchorage plan required for each case. This was performed in the past in many countries and those studies are published
Interventions
OTHERWell finished cases
To decide whether extraction or non-extraction decision will be made for each case
Sponsors
Cairo University
Study design
Observational model
COHORT
Time perspective
OTHER
Eligibility
Sex/Gender
ALL
Age
15 Years to 35 Years
Inclusion criteria
1. Cases with well finished orthodontic treatment. 2. Cases with history of crowding more than 10 mm and requiring extraction. 3. Cases with no severe skeletal discrepancy. 4. Well documented cases with both pre-operative and post-operative records. 5. Patients with a full set of permanent teeth erupted
Exclusion criteria
1. Improperly finished orthodontic cases. 2. Cases with mild crowding managed by treatment options other than extraction. 3. Growing patients or showing any residual growth remaining in cephalometric analysis 4. Cases with severe skeletal discrepancy. 5. Poorly documented cases. 6. Patients not sticking to anchorage plan
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| To study the efficiency of the program decisions in terms of extraction/non-extraction and Anchorage planning decisions | 1 year | The concordance correlation coefficient would be used to measure the agreement between the 2 methods on the basis of the values (%) assigned for each treatment option by the 2 methods (quantitative data). |
Countries
Egypt
Contacts
Primary ContactWalaa Mohamed Gadallah, Bachelor degree
Outcome results
None listed