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Enrolling By InvitationNCT07077694

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

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

Status
Enrolling By Invitation
Phase
N/A
Study type
Interventional
Enrollment
3 (estimated)
Sponsor
Future University in Egypt · Academic / Other
Sex
All
Age
18 Years – 50 Years
Healthy volunteers
Accepted

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

Interventions

TypeNameDescription
PROCEDURERoot Canal Retreatmentif 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.

Timeline

Start date
2024-12-25
Primary completion
2025-10-29
Completion
2025-10-29
First posted
2025-07-22
Last updated
2025-07-22

Locations

1 site across 1 country: Egypt

Source: ClinicalTrials.gov record NCT07077694. Inclusion in this directory is not an endorsement.