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NCT Number: NCT07587060

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

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.

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Key information

Age range

18 year–65 year

Sex eligibility

All sexes

Study type

Observational

Primary location

Faculty of Dentistry, Cairo University

Cairo, Cairo Governorate, Egypt

Who can participate

Healthy volunteers accepted: No

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

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

Treatment and study plan

Primary outcomes

  1. Accuracy of analysis of root canal curvature angle

    Time frame: 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.

Study contacts

Contact information is provided by the study sponsor or research team.

Samaa M Mohammed, Assistant lecturer

CONTACT

[email protected]

00201060493152

Sponsors and collaborators

Lead sponsor

Cairo University

Other

Registry information

Important dates

Study start
2026
Primary completion
2027
Study completion
2027
First posted
May 14, 2026
Registry last updated
May 14, 2026

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.