The Use of Artificial Intelligence in the Dental X-rays Analysis

NCT06258798 | Completed

• 1 other identifier: CT/2023/1
• Study Type: observational
• Target: 1,025
• Locations: 1 country
• Sites: 1

Brief Summary

This cross-sectional study aims to perform a population-based assessment of the incidence of decay, dental fillings, root canal fillings, endodontic lesions, implants, implant and dental abutment crowns, pontic crowns, and missing teeth, taking into account the location.

Conditions

Oral Health; Dental Caries; Periapical Diseases; Tooth Loss

Outcome Measures

Primary Outcomes (3)

• Sensitivity

  Sensitivity (also known as recall or true positive rate) is the proportion of actual positive cases that are correctly predicted as positive. It evaluates the performance of an AI algorithm. Formally it can be calculated with the following equation: Sensitivity = TP / (TP+FN) True positive (TP) - a test result that correctly indicates the presence of a condition or characteristic False Negative (FN) - a test result which wrongly indicates that a particular condition or characteristic is absent

  Up to 6 weeks

• Specificity

  Specificity (also known as true negative rate) - is the proportion of actual negative cases that are correctly predicted as negative. It evaluates the performance of an AI algorithm. Formally it can be calculated by the equation below: Specificity = TN / (TN + FP) True negative (TN) - a test result that correctly indicates the absence of a condition or characteristic False positive (FP) - a test result which wrongly indicates that a particular condition or characteristic is present

  Up to 6 weeks

• Precision of the AI algorithm

  Precision is an evaluation metric used to assess the performance of machine learning algorithm for AI. It measures how accurate the algorithm is. We will use the number of true positives (TP) and false positives (FP) to calculate precision using the following formula: Precision = TP / (TP + FP) True positive (TP) - a test result that correctly indicates the presence of a condition or characteristic False positive (FP) - a test result that wrongly indicates that a particular condition or characteristic is present

  Up to 6 weeks

Study Arms (1)

One group of patients (double gate)

Study design: * Direction of data collection: retrospective * Number of gates (sets of eligibility criteria): double gate (AI, human) * Participant sampling method: Consecutive * Method of allocating participants to index tests: Each participant received all index tests * Number of reference standards: Single test standard * Limited verification: Full verification (not limited)

Radiation: Taking a dental X-ray

Interventions

Taking a dental X-ray RADIATION

Dental X-rays taken in patients with indications confirmed by a written referral.

One group of patients (double gate)

Eligibility Criteria

• Age: 11 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Child (0-17), Adult (18-64), Older Adult (65+)
• Sampling Method: Probability Sample

Study Population

Patients included in the study were admitted to the radiology department in Kielce, a city in southern Poland with around 200.000 inhabitants.

You may qualify if:

• Indications for dental X-ray confirmed by a written referral from the dentist or physician (both screening tests and tests performed for treatment purposes were allowed)
• Permanent dentition (after exfoliation is completed)

You may not qualify if:

• Patients with mixed dentition (exfoliation has not finished)

Sponsors & Collaborators

• Hospital of the Ministry of Interior, Kielce, Poland: lead

Study Sites (1)

Department of Maxillofacial Surgery

Kielce, 25-375, Poland

Location

Related Publications (1)

• Turosz N, Checinska K, Checinski M, Lubecka K, Blizniak F, Sikora M. Artificial Intelligence (AI) Assessment of Pediatric Dental Panoramic Radiographs (DPRs): A Clinical Study. Pediatr Rep. 2024 Sep 11;16(3):794-805. doi: 10.3390/pediatric16030067.

  PMID: 39311330 DERIVED

MeSH Terms

Conditions

Dental Caries; Periapical Diseases; Tooth Loss

Condition Hierarchy (Ancestors)

Tooth Demineralization; Tooth Diseases; Stomatognathic Diseases; Jaw Diseases; Periodontal Diseases; Mouth Diseases

Study Officials

• Maciej Sikora

  Hospital of the Ministry of Interior, Wojska Polskiego 51, 25-375 Kielce, Poland

  STUDY CHAIR

Study Design

• Study Type: observational
• Observational Model: CASE ONLY
• Time Perspective: RETROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: January 25, 2024
• First Posted: February 14, 2024
• Study Start: January 1, 2024
• Primary Completion: May 1, 2024
• Study Completion: November 1, 2024
• Last Updated: April 1, 2025

Record last verified: 2025-03

Data Sharing

• IPD Sharing: Will not share

Locations

PL (1)