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ENROLLING BY INVITATION
NCT07077694
NA

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

Sponsor: Future University in Egypt

View on ClinicalTrials.gov

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 ?

Official title: Accuracy of Artificial Intelligence Technology to Detect the Presence of Missed Canals of Endodontically Treated Mandibular Second Molar : Diagnostic Accuracy Experimental Study

Key Details

Gender

All

Age Range

18 Years - 50 Years

Study Type

INTERVENTIONAL

Enrollment

3

Start Date

2024-12-25

Completion Date

2025-10-29

Last Updated

2025-07-22

Healthy Volunteers

Yes

Interventions

PROCEDURE

Root Canal Retreatment

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.

Locations (1)

Faculty of Oral and Dental Medicine future university

Cairo, Cairo Governorate, Egypt