Enrolling by Invitation

NCT Number: NCT07077694

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

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 ?

Enrolling by Invitation

Interested in participating?

Request Info

Key information

Conditions

Presence of Missed Canals Morphological Variation

Age range

18 year–50 year

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Faculty of Oral and Dental Medicine future university

Cairo, Cairo Governorate, 11835, Egypt

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

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.

Exclusion criteria

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.

Treatment and study plan

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.

Other names: Re-RCT

Primary outcomes

Presence of missed canals

Time frame: Pre Operative and At the end of the treatment within 1 week

Secondary outcomes

Morphological variation

Time frame: Pre Operative and At the end of the treatment within 1 week

Sponsors and collaborators

Lead sponsor

Future University in Egypt

Other

Registry information

Official study title

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

Acronym: cone beam CT

Important dates

Study start: 2024
Primary completion: 2025
Study completion: 2025
First posted: Jul 22, 2025
Registry last updated: Jul 22, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.