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

NCT ID: NCT05070676

Last Updated: 2021-10-07

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Clinical Phase

NA

Total Enrollment

17 participants

Study Classification

INTERVENTIONAL

Study Start Date

2021-12-01

Study Completion Date

2022-12-01

Brief Summary

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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

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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

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Mobile Application Cephalometric Analysis

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

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

DIAGNOSTIC

Blinding Strategy

NONE

Study Groups

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Lateral cephalometric radiographs of pre-adolescent patients (8-13) years old.

Group Type EXPERIMENTAL

newly developed mobile application

Intervention Type DIAGNOSTIC_TEST

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

Interventions

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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

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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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

\-
Minimum Eligible Age

8 Years

Maximum Eligible Age

13 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Cairo University

OTHER

Sponsor Role lead

Responsible Party

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Nehal Mohamed Mostafa Ahmed

principal investigator

Responsibility Role PRINCIPAL_INVESTIGATOR

Other Identifiers

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mobile app in ceph.analysis

Identifier Type: -

Identifier Source: org_study_id

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