NCT05901857

Brief Summary

The aim of this study is to assess the accuracy of a convolutional neural network in dental age estimation from digital panoramic radiographs. The reference standard will be the chronological age of the patient.

Trial Health

43
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
22

participants targeted

Target at below P25 for all trials

Timeline
Completed

Started Jun 2023

Typical duration for all trials

Geographic Reach
1 country

1 active site

Status
unknown

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

May 12, 2023

Completed
1 month until next milestone

First Posted

Study publicly available on registry

June 13, 2023

Completed
17 days until next milestone

Study Start

First participant enrolled

June 30, 2023

Completed
6 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

January 1, 2024

Completed
1.9 years until next milestone

Study Completion

Last participant's last visit for all outcomes

December 1, 2025

Completed
Last Updated

June 13, 2023

Status Verified

June 1, 2023

Enrollment Period

6 months

First QC Date

May 12, 2023

Last Update Submit

June 4, 2023

Conditions

Age Problem

Outcome Measures

Primary Outcomes (1)

  • Accuracy of dental age estimation from digital panoramic radiographs using CNN models

    Percentage

    Through study completion, an average of 1 year

Interventions

convolutional neural networkDIAGNOSTIC_TEST

A deep learning model for dental age classification from panoramic images

Eligibility Criteria

Age6 Years - 16 Years
Sexall
Age GroupsChild (0-17)
Sampling MethodProbability Sample
Study Population

Panoramic radiographs will be recruited from Faculty of Dentistry, Oral Radiology Department.

You may qualify if:

  • Presence of all mandibular left permanent teeth (except third molars)
  • Clearly visible root development
  • No systemic disease
  • No history of root canal therapy or extraction
  • No related diseases affecting mandibular development such as cysts or tumors.

You may not qualify if:

  • Patients with premature birth
  • Facial asymmetry
  • Congenital anomalies
  • History of trauma or surgery in dentofacial region

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Rawan Elkassas

Cairo, Egypt

RECRUITING

Related Publications (10)

  • Banar N, Bertels J, Laurent F, Boedi RM, De Tobel J, Thevissen P, Vandermeulen D. Towards fully automated third molar development staging in panoramic radiographs. Int J Legal Med. 2020 Sep;134(5):1831-1841. doi: 10.1007/s00414-020-02283-3. Epub 2020 Apr 1.

    PMID: 32239317BACKGROUND

  • Ekert T, Krois J, Meinhold L, Elhennawy K, Emara R, Golla T, Schwendicke F. Deep Learning for the Radiographic Detection of Apical Lesions. J Endod. 2019 Jul;45(7):917-922.e5. doi: 10.1016/j.joen.2019.03.016. Epub 2019 Jun 1.

    PMID: 31160078BACKGROUND

  • El-Desouky SS, Kabbash IA. Age estimation of children based on open apex measurement in the developing permanent dentition: an Egyptian formula. Clin Oral Investig. 2023 Apr;27(4):1529-1539. doi: 10.1007/s00784-022-04773-7. Epub 2022 Nov 17.

    PMID: 36394611BACKGROUND

  • Galibourg A, Cussat-Blanc S, Dumoncel J, Telmon N, Monsarrat P, Maret D. Comparison of different machine learning approaches to predict dental age using Demirjian's staging approach. Int J Legal Med. 2021 Mar;135(2):665-675. doi: 10.1007/s00414-020-02489-5. Epub 2021 Jan 7.

    PMID: 33410925BACKGROUND

  • Guo YC, Han M, Chi Y, Long H, Zhang D, Yang J, Yang Y, Chen T, Du S. Accurate age classification using manual method and deep convolutional neural network based on orthopantomogram images. Int J Legal Med. 2021 Jul;135(4):1589-1597. doi: 10.1007/s00414-021-02542-x. Epub 2021 Mar 4.

    PMID: 33661340BACKGROUND

  • Kim S, Lee YH, Noh YK, Park FC, Auh QS. Age-group determination of living individuals using first molar images based on artificial intelligence. Sci Rep. 2021 Jan 13;11(1):1073. doi: 10.1038/s41598-020-80182-8.

    PMID: 33441753BACKGROUND

  • Sehrawat JS, Singh M. Willems method of dental age estimation in children: A systematic review and meta-analysis. J Forensic Leg Med. 2017 Nov;52:122-129. doi: 10.1016/j.jflm.2017.08.017. Epub 2017 Aug 25.

    PMID: 28918371BACKGROUND

  • Shen S, Liu Z, Wang J, Fan L, Ji F, Tao J. Machine learning assisted Cameriere method for dental age estimation. BMC Oral Health. 2021 Dec 15;21(1):641. doi: 10.1186/s12903-021-01996-0.

    PMID: 34911516BACKGROUND

  • Vila-Blanco N, Carreira MJ, Varas-Quintana P, Balsa-Castro C, Tomas I. Deep Neural Networks for Chronological Age Estimation From OPG Images. IEEE Trans Med Imaging. 2020 Jul;39(7):2374-2384. doi: 10.1109/TMI.2020.2968765. Epub 2020 Jan 31.

    PMID: 32012002BACKGROUND

  • Ye X, Jiang F, Sheng X, Huang H, Shen X. Dental age assessment in 7-14-year-old Chinese children: comparison of Demirjian and Willems methods. Forensic Sci Int. 2014 Nov;244:36-41. doi: 10.1016/j.forsciint.2014.07.027. Epub 2014 Aug 19.

    PMID: 25195126BACKGROUND

MeSH Terms

Interventions

Convolutional Neural Networks

Intervention Hierarchy (Ancestors)

Neural Networks, ComputerMathematical Concepts

Study Officials

  • Mohab Eid

    Nile University

    STUDY CHAIR

Central Study Contacts

Rawan Elkassas

CONTACT

+201011385738rawanelkassas@gmail.com

Study Design

Study Type
observational
Observational Model
OTHER
Time Perspective
RETROSPECTIVE
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Principal Investigator

Study Record Dates

First Submitted

May 12, 2023

First Posted

June 13, 2023

Study Start

June 30, 2023

Primary Completion

January 1, 2024

Study Completion

December 1, 2025

Last Updated

June 13, 2023

Record last verified: 2023-06

Locations

EG(1)