Diagnostic Accuracy of Artificial Intelligence, CBCT, and Clinical Examination in Detecting Number of Root Canals in Conventional and Retreated Maxillary and Mandibular Molars

NCT06712160 | Completed DMC

• 1 other identifier: MIU-IRB-2425-008
• Study Type: interventional
• Target: 212
• Locations: 1 country
• Sites: 1

Brief Summary

The study compares the effectiveness of Artificial Intelligence (AI), CBCT, and clinical examination in detecting root canals in upper first, upper second, and lower first molars. Results show AI detects more molars with three or four canals in conventional treatment cases and retreatment cases.

Conditions

Number of Root Canals

Keywords

CBCT; AI

Outcome Measures

Primary Outcomes (1)

• The number of canals detected

  The number of canals detected clinically using DOM, CBCT and by AI

  1 day

Secondary Outcomes (1)

• Canal Morphology

  1 day

Study Arms (1)

CBCT, Clinical using DOM

EXPERIMENTAL

Comparing the three methods for the detection of the number of canals of maxillary and mandibular molars

Diagnostic Test: Artificial Intelligence

Interventions

Artificial Intelligence DIAGNOSTIC_TEST

The number of canals detected by AI

CBCT, Clinical using DOM

Eligibility Criteria

• Age: 18 Years - 40 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64)

You may qualify if:

• Male and female patients who were capable of providing informed consent
• Age between 18 to 40 years old.
• A restorable tooth.

You may not qualify if:

• Patients that underwent vital pulp therapies.
• Patients with calcifications in pulp space.
• Open apex/immature roots.
• Teeth restored by full coverage crowns.
• Pregnant women by taking adequate history from patient and pregnancy test that was done in the first visit

Sponsors & Collaborators

• Misr International University: lead

Study Sites (1)

Misr International University

Cairo, 00202, Egypt

Location

MeSH Terms

Interventions

Artificial Intelligence

Intervention Hierarchy (Ancestors)

Algorithms; Mathematical Concepts

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: NA
• Masking: NONE
• Purpose: DIAGNOSTIC
• Intervention Model: SINGLE GROUP
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: November 21, 2024
• First Posted: December 2, 2024
• Study Start: January 20, 2023
• Primary Completion: January 20, 2024
• Study Completion: February 20, 2024
• Last Updated: December 2, 2024

Record last verified: 2024-10

Data Sharing

• IPD Sharing: Will not share

Locations

EG (1)