FindTrial
Sign In

An automatic landmarking and analysis system for 3D cephalometric measurement of CBCT based on cascaded neural networks

An automatic landmarking and analysis system for 3D cephalometric measurement of CBCT based on cascaded neural networks

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600127762
Enrollment
Unknown
Registered
2026-07-07
Start date
2025-08-01
Completion date
Unknown
Last updated
2026-07-13

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

Conditions

Malocclusion

Interventions

Malocclusion observation group:None

Sponsors

Zhejiang Provincial People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1.The craniofacial development is normal, with no congenital or acquired deformities. 2.Permanent teeth row, no tooth row missing; 3.The CBCT scan covers the entire skull and face. 4.The CBCT quality is excellent, with no obvious motion artifacts, metal artifacts or other interfering factors.

Exclusion criteria

Exclusion criteria: 1.Severe craniofacial deformity, history of cleft lip and palate treatment, history of facial trauma, history of orthognathic surgery; 2.The quality of the CBCT does not meet the basic requirements for measurement.

Design outcomes

Primary

MeasureTime frame
The accuracy and reliability of cephalometric marking point positioning were evaluated;—

Countries

China

Contacts

Public ContactWang Linhong

Zhejiang Provincial People's Hospital

wanglinhong03@126.com+86 571 8766 6666

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Jul 23, 2026