NCT05070676

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

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: A Diagnostic Accuracy Study

• Status: Unknown
• Phase: N/A
• Study type: Interventional
• Enrollment: 17 (estimated)
• Sponsor: Cairo University · Academic / Other
• Sex: All
• Age: 8 Years – 13 Years
• Healthy volunteers: Accepted

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

Conditions

• Mobile Application
• Cephalometric Analysis

Interventions

Type	Name	Description
DIAGNOSTIC_TEST	newly developed mobile application	The application will be developed in native Android, using Java (backend) and XML (front-end) as the programming language. The program of choice will be Android Studio®, YouTube® (video reproduction) and Firebase® (database) will be used as external APIs (Application Programming Interfaces). The layout of the application will be developed using: Adobe Illustrator® software. The logo, brand, objects, and shapes of the mobile application will be designed to enable to resize of the images without any loss of quality, due to the wide range of scales available in current smartphones

Timeline

• Start date: 2021-12-01
• Primary completion: 2022-11-01
• Completion: 2022-12-01
• First posted: 2021-10-07
• Last updated: 2021-10-07