A retrospective analysis of CBCT images based on deep learning to establish a risk prediction model for extraction of embedded teeth of mixed dentition and removal of jaw cyst

Status

Active, not recruiting

Phases

Early Phase 1

Study type

Observational

Source

ChiCTR

Registry ID

ChiCTR2400087281

Enrollment

Unknown

Registered

2024-07-24

Start date

2024-07-25

Completion date

Unknown

Last updated

2024-07-29

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

Conditions

embedded teeth and jaw cyst

Interventions

CBCT images under 12 years old:None

Eligibility

Sex/Gender

All

Age

4 Years to 12 Years

Inclusion criteria

Inclusion criteria: 1. Clear and complete CBCT imaging data of patients aged 12 and below; 2. CBCT data should have a slice thickness of 0.15-0.35mm.

Exclusion criteria

Exclusion criteria: Low-quality CBCT data, such as those with metal artifacts, patient movement artifacts, or blurred CBCT data.

Design outcomes

Primary

Measure	Time frame
distance to adjacent teeth;Diameter of jaw cyst;	—

Secondary

Measure	Time frame
Distance to important anatomical structures (such as blood vessels, nerves, sinuses);Distance to the position of Alveolar ridge crest;	—

Countries

China

Contacts

Public ContactXiao Wen

Shanghai Ninth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine

xiaowen@shsmu.edu.cn+86 180 1928 8275

Outcome results

None listed

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