Artificial Intelligence to Detect Missed Root Canals in Previously Treated Lower Back Teeth Using 3D Dental Imaging (CBCT)

NCT07077694 | Enrolling By Invitation DMC

• 1 other identifier: FUE.REC(47)11-2024
• Study Type: interventional
• Target: 3
• Locations: 1 country
• Sites: 1

Brief Summary

Aims to detect the Accuracy of Artificial Intelligence Technology in Detecting the Presence of Missed Canals of Endodontically Treated Mandibular Second Molar. Will Artificial intelligence software, CBCT and Clinical visual examination with dental operating microscope differs in the detection of presence of missed canals of endodontically treated human mandibular second molar ?

Conditions

Presence of Missed Canals; Morphological Variation

Keywords

Morphological variation; Presence of missed canals; CBCT; AI; Artificial intelligence; Clinical visual examination; dental operating microscope; mandibular second molar

Outcome Measures

Primary Outcomes (1)

• Presence of missed canals

  Pre Operative and At the end of the treatment within 1 week

Secondary Outcomes (1)

• Morphological variation

  Pre Operative and At the end of the treatment within 1 week

Study Arms (2)

Presence of missed canals

ACTIVE COMPARATOR

Procedure: Root Canal Retreatment

Morphological variation

ACTIVE COMPARATOR

Procedure: Root Canal Retreatment

Interventions

Root Canal Retreatment PROCEDURE

if Retreatment was needed, local anesthesia using 1.8 ml (one cartridge) of 4% articaine with 1:100,000 epinephrine local anesthetic solution, administered with end -loading cartridge aspirating syringe and a 27-gauge long needle. Under rubber dam isolation, All carious tissue and existing coronal restorations were thoroughly removed using a round bur, an endodontic access cavity, canal preparation and removal of existing root canal filling, irrigation with 2.6% NAOCL and saline, determining the working length using apex locator and PA radiograph, to be 0.5 to 1 mm shorter than radiographic apex, Drying the canal with paper point and obturation to achieve a dense, well adapted Monoblock obturation. A post-obturation periapical radiograph was taken to confirm the quality of the fill in terms of length, density, then sealed by a temporary restorative material.

Also known as: Re-RCT

Morphological variation; Presence of missed canals

Eligibility Criteria

• Age: 18 Years - 50 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64)

You may qualify if:

• \- 1) Patients must be medically free from any systemic disease that can affect root canal treatment.
• \) Age range of the patient should be between 18 - 50 years old. 3) No sex predilection. 4) Patients must have good oral hygiene. 5) Patients with root canal-treated teeth. 6) Restorable teeth. 7) Positive patient acceptance for participating in the study. 8) Patients can sign informed consent.

You may not qualify if:

• \- 1) Patients with very poor oral hygiene. 2) Patients above 50 years and below 18 years. 3) Pregnant women after taking detailed history and pregnancy test must be in the first visit.
• \) Psychologically disturbed patients. 5) Tooth periodontally affected with grade 2 or 3 mobility. 6) Non restorable teeth. 7) Tooth with abnormal anatomy and calcified canals.

Sponsors & Collaborators

• Future University in Egypt: lead

Study Sites (1)

Faculty of Oral and Dental Medicine future university

Cairo, Cairo Governorate, 11835, Egypt

Location

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: SINGLE
• Who Masked: INVESTIGATOR
• Purpose: DIAGNOSTIC
• Intervention Model: SEQUENTIAL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: B.D.S

Study Record Dates

• First Submitted: July 1, 2025
• First Posted: July 22, 2025
• Study Start: December 25, 2024
• Primary Completion: October 29, 2025
• Study Completion: October 29, 2025
• Last Updated: July 22, 2025

Record last verified: 2024-10

Locations

EG (1)