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

Phases

Study type

Interventional

Source

ClinicalTrials.gov

Registry ID

NCT05070676

Enrollment

Registered

2021-10-07

Start date

2021-12-01

Completion date

2022-12-01

Last updated

2021-10-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cephalometric Analysis, Mobile Application

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

Interventions

DIAGNOSTIC_TESTnewly 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

Study design

Allocation

Intervention model

SINGLE_GROUP

Primary purpose

DIAGNOSTIC

Masking

NONE

Intervention model description

A newly developed mobile application will be developed to help pedodontists in orthodontic diagnosis, and treatment of dentoalveolar, or skeletal deformations

Eligibility

Sex/Gender

ALL

Age

8 Years to 13 Years

Healthy volunteers

Yes

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

Design outcomes

Primary

Measure	Time frame	Description
The Accuracy of the newly developed mobile application versus the conventional method of cephalometric analysis in the diagnosis	3 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

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026