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Machine learning in predicting the mandibular retromolar canal in panoramic radiography

Machine learning in predicting the mandibular retromolar canal in panoramic radiography

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2300075770
Enrollment
Unknown
Registered
2023-09-14
Start date
2023-09-20
Completion date
Unknown
Last updated
2023-09-26

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

Conditions

mandibular retromolar canal

Interventions

Gold Standard:Two researchers made independent diagnosis based on CBCT images. If there was any inconsistency in judgment, a clinician specializing in endodontics with 20 years of clinical experience
Index test:Machine learning in predicting the mandibular retromolar canal in panoramic radiography

Sponsors

Hospital of stomatology, Sun Yat-sen University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 100 Years

Inclusion criteria

Inclusion criteria: 1: Age = 18 years old. 2: The maxillofacial region is symmetrical and has no deformity, and no serious influence on the morphology of the mandible due to trauma or surgery. 3: CBCT image is clear with complete visual field and there is no serious metal artifact.

Exclusion criteria

Exclusion criteria: 1: Patients with mandibular trauma and surgery seriously affect the shape of the jaw. 2: Patients with mandibular cysts, tumors and other obvious space-occupying lesions. 3: CBCT image is not clear, there are serious metal artifacts. 4: Patients with severe periodontitis and osteomyelitis of jaw. 5: One side of the second and third molars are all missing.

Design outcomes

Primary

MeasureTime frame
With or without posterior molar canal;Accuracy;Sensitivity;Specificity;

Secondary

MeasureTime frame
The diameter of the mandibular retromolar canal;The incidence of the mandibular retromolar canal;The distance between the retromolar foramen and the mandibular second molar;Distance between retromolar foramen and mandibular canal;The classification of the retromolar canal;

Countries

China

Contacts

Public ContactXu Qiong

Hospital of stomatology, Sun Yat-sen University

xqiong@mail.sysu.edu.cn+86 137 1090 0601

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026