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Accuracy of a Newly Developed Mobile Application Versus the Conventional Method of Cephalometric Analysis in the Diagnosis of Dental and Skeletal Deformities Among Pre-adolescent Patients

Not Applicable
Conditions
Mobile Application
Cephalometric Analysis
Interventions
Diagnostic Test: newly developed mobile application
Registration Number
NCT05070676
Lead Sponsor
Cairo University
Brief Summary

This study aims to evaluate the accuracy of a newly developed mobile application versus the conventional method of cephalometric analysis in the diagnosis of dental and skeletal deformities among pre-adolescent patients.

Detailed Description

A mobile application will be developed to help pedodontists in orthodontic diagnosis, and treatment of dentoalveolar, or skeletal deformations ,The mobile application will provide quick cephalometric analysis and therefore, offers rapid and accurate case diagnosis, reduces errors in tracing, measurement, and identification of the landmark.

Reference test: Cephalometric analysis by the conventional method

-Trial design: Diagnostic accuracy study

Recruitment & Eligibility

Status
UNKNOWN
Sex
All
Target Recruitment
17
Inclusion Criteria
  1. Digital Lateral cephalometric radiographs of pre-adolescent patients (8-13) years old.
  2. Cephalogram of good quality with all landmarks clearly visible
  3. Presence of central incisors and first molars on cephalogram
  4. Cephalogram with teeth in maximum intercuspation
Exclusion Criteria

Study & Design

Study Type
INTERVENTIONAL
Study Design
SINGLE_GROUP
Arm && Interventions
GroupInterventionDescription
Lateral cephalometric radiographs of pre-adolescent patients (8-13) years old.newly developed mobile application-
Primary Outcome Measures
NameTimeMethod
The Accuracy of the newly developed mobile application versus the conventional method of cephalometric analysis in the diagnosis3 monthes

The accuracy of the mobile application will be measured based on cephalometric analysis angles( by degrees) of Egyptian people according to Soliman SA. PHD thesis 1988

Secondary Outcome Measures
NameTimeMethod
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