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On Previously Root Canal-treated Patients Using an AI Program, Detect the Accuracy of it in the Detection of Root Canal Obturation Quality on CBCT Compared With Conventional PA Radiography, e.g., Voids, Length of Obturation, and Density, and Then do Retreatment if Any Failure is Recorded.
Sponsor: Tala Ghassan Hassan Odeh
Summary
aims to evaluate the accuracy of clinicians (conventional radiograph) compared to cone beam computed tomography (CBCT) and artificial intelligence software's ability to identify the quality of root canal obturation. Will the use of artificial intelligence software be compared to conventional software in accuracy?
Official title: Accuracy of Artificial Intelligence Technology in Detecting the Quality of Endodontic Treatment Diagnostic Accuracy Experimental Study.
Key Details
Gender
All
Age Range
18 Years - 50 Years
Study Type
INTERVENTIONAL
Enrollment
3
Start Date
2025-04-01
Completion Date
2025-10-30
Last Updated
2025-07-09
Healthy Volunteers
Yes
Conditions
Interventions
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