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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
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07077694
Acronym
cone beam CT
Enrollment
3
Registered
2025-07-22
Start date
2024-12-25
Completion date
2025-10-29
Last updated
2025-07-22

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Morphological Variation, Presence of Missed Canals

Keywords

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

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 ?

Interventions

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.

Sponsors

Future University in Egypt
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
SEQUENTIAL
Primary purpose
DIAGNOSTIC
Masking
SINGLE (Investigator)

Eligibility

Sex/Gender
ALL
Age
18 Years to 50 Years
Healthy volunteers
Yes

Inclusion criteria

\- 1) Patients must be medically free from any systemic disease that can affect root canal treatment. 2\) 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. 4\) 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.

Design outcomes

Primary

MeasureTime frame
Presence of missed canalsPre Operative and At the end of the treatment within 1 week

Secondary

MeasureTime frame
Morphological variationPre Operative and At the end of the treatment within 1 week

Countries

Egypt

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026