Deep learning model for analyzing the relationship between mandibular third molar and inferior alveolar nerve in panoramic radiography

Deep learning model for analyzing the relationship between mandibular third molar and inferior alveolar nerve in panoramic radiography - Analysis by deep learning of the mandibular third molar and inferior alveolar nerve in panoramic radiography

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-jRCT1060220021

Enrollment

1279

Registered

2022-05-28

Start date

2021-03-08

Completion date

Unknown

Last updated

2026-06-29

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

Conditions

Mandibular third molar Mandibular third molar

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: 1) Both panoramic radiographs and CT are taken. 2) The age is 20 years or older. 3) The mandibular third molar is present.

Exclusion criteria

Exclusion criteria: 1) It is an unclear image. 2) Plates are inserted in the lower jaw during panoramic photography.

Design outcomes

Primary

Measure	Time frame
Accuracy rate by deep learning of mandibular third molar and inferior alveolar nerve in panoramic X-ray photography with diagnosis by CT image as correct answer	—

Secondary

Measure	Time frame
Sensitivity / specificity / F1 value / AUC by deep learning of mandibular third molar and inferior alveolar nerve in panoramic X-ray photography with diagnosis by CT image as correct answer	—

Contacts

Public ContactShintaro Sukegawa

Kagawa Prefectural Central Hospital

gouwan19@gmail.com+81-8017083567

Outcome results