Development and Diagnostic Accuracy of a Deep Learning Model for Root Canal Curvature Analysis in Mandibular Molars Using CBCT Scans: A Diagnostic Accuracy Study

Status

Not yet recruiting

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT07587060

Enrollment

207

Registered

2026-05-14

Start date

2026-06-01

Completion date

2027-09-01

Last updated

2026-05-14

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

Conditions

Accuracy of Root Canal Curvature Analysis

Keywords

Artificial intelligence, Deep learning model, root canal curvature, Analysis of curvature

Brief summary

Root canal preparation in endodontics poses significant challenges, particularly in curved canals of mandibular molars, where accurate preoperative assessment using CBCT imaging is crucial to avoid iatrogenic errors and improve treatment outcomes. This study aims to develop and evaluate the diagnostic accuracy of a deep learning model for analyzing root canal curvature angles in mandibular molars from CBCT scans, compared to human expert evaluations. The model will leverage advanced AI techniques to segment and measure curvatures objectively, addressing limitations in manual interpretation, potentially standardizing case difficulty assessments and aiding clinical decision-making.

Interventions

None listed

Study design

Observational model

OTHER

Time perspective

RETROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

18 Years to 65 Years

Healthy volunteers

Inclusion criteria

* CBCT scans of mandibular molars of Egyptian patients aging from 18 to 65 years old * Small Field of view (FOV) including maximum a quadrant * Voxel size not larger than 2mm * Mandibular molars showing complete root formation * Carious or non-carious teeth * Absence of artifacts, dental implants in the adjacent teeth

Exclusion criteria

* Mandibular first and second molars with developmental anomalies, external or internal root resorption, root canal calcification, previous root canal treatment, post restorations, and/or root caries * CBCT images of sub-optimal quality or artifacts/high scatter interfering with proper assessment

Design outcomes

Primary

Measure	Time frame	Description
Accuracy of analysis of root canal curvature angle	June 2026 to September 2027	Curvature analysis classified according to its severity into 3 categories: "10 degrees or less"; as mild, "between 10 to 30 degrees"; as moderate and "30 degrees or more"; as severe curvature.

Countries

Egypt

Contacts

CONTACTSamaa M Mohammed, Assistant lecturer

samaa.mohammed@dentistry.cu.edu.eg00201060493152

Outcome results