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Artificial Intelligence Evaluation of Fillings

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ClinicalTrials.gov Identifier: NCT06022731
Recruitment Status : Completed
First Posted : September 5, 2023
Last Update Posted : September 5, 2023
Sponsor:
Information provided by (Responsible Party):
Elif Bilgir, Eskisehir Osmangazi University

Study Description
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Brief Summary:

The goal of this Non-Interventional Clinical Research is to detect the prevalence and distribution of filling and overhanging filling without the need for additional bitewing radiographs using panoramic images, based on a deep CNN (Convolutional Neural Network) architecture trained through supervised learning.

In this study, retrospectively obtained radiographs were used in the development of artificial intelligence models for relevant situations. These datasets were obtained from the images of the patients who applied to ESOGU (Eskişehir Osmangazi University) Dentistry Faculty, Dentomaxillofacial Radiology clinic for various dental purposes. Eskisehir Osmangazi University Non-Interventional Clinical Research Ethics Board (decision date and decision number: 04.10.2022/22) approved the study protocol. The principles of the Helsinki Declaration were followed in the study.


Condition or disease Intervention/treatment
Dentomaxillofacial Radiology Diagnostic Test: Panoramic Radiography

Study Design
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Study Type : Observational
Actual Enrollment : 4323 participants
Observational Model: Case-Only
Time Perspective: Retrospective
Official Title: A Yolo-V5 Approaches to Evaluation of Filling and Overhanging Filling: An Artificial Intelligence Study
Actual Study Start Date : January 1, 2022
Actual Primary Completion Date : January 1, 2023
Actual Study Completion Date : March 1, 2023

Resource links provided by the National Library of Medicine

MedlinePlus related topics: X-Rays

Groups and Cohorts
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Group/Cohort Intervention/treatment
Filling Diagnostic Test: Panoramic Radiography
this retrospective study includes analysis of radiographs previously taken from patients for various purposes
Overhanging Filling Diagnostic Test: Panoramic Radiography
this retrospective study includes analysis of radiographs previously taken from patients for various purposes


Outcome Measures
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Primary Outcome Measures :
  1. The success of artificial intelligence models for filling and overhanging filling [ Time Frame: 1 year ]
    It is obtained by calculating the sensitivity, precision, and F1 scores values for filling and overhanging filling.


Eligibility Criteria
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Ages Eligible for Study:   Child, Adult, Older Adult
Sexes Eligible for Study:   All
Sampling Method:   Probability Sample
Study Population
These datasets were obtained from the images of the patients who applied to ESOGU Dentistry Faculty, Dentomaxillofacial Radiology clinic for various dental purposes.
Criteria

Inclusion Criteria:

  • Images of individuals in the permanent dentition period
  • Artifact-free images in the examination region
  • Individuals with a history of restorative dental treatment

Exclusion Criteria:

  • Images of individuals in mixed dentition
  • Radiographic images obtained by incorrect positioning of the patient or containing artifacts
Contacts and Locations
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Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT06022731


Locations
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Turkey
Eskişehir Osmangazi University
Eskişehir, Turkey, 26200
Sponsors and Collaborators
Eskisehir Osmangazi University
More Information
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Top of Page Study Description Study Design Groups and Cohorts Outcome Measures Eligibility Criteria Contacts and Locations More Information
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Responsible Party: Elif Bilgir, Associated Professor, Eskisehir Osmangazi University
ClinicalTrials.gov Identifier: NCT06022731    
Other Study ID Numbers: Retrospective
First Posted: September 5, 2023    Key Record Dates
Last Update Posted: September 5, 2023
Last Verified: August 2023
Individual Participant Data (IPD) Sharing Statement:
Plan to Share IPD: Yes
Plan Description: The investigators plan to publish the findings obtained as a result of the study in internationally journals and share this information within the publication.
Supporting Materials: Study Protocol
Statistical Analysis Plan (SAP)
Clinical Study Report (CSR)

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Studies a U.S. FDA-regulated Drug Product: No
Studies a U.S. FDA-regulated Device Product: No
Keywords provided by Elif Bilgir, Eskisehir Osmangazi University:
dental filling
dentistry
deep learning,