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Research on identifying and measuring the position of the upper lip frenulum attachment based on deep learning

Research on identifying and measuring the position of the upper lip frenulum attachment based on deep learning

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600128564
Enrollment
Unknown
Registered
2026-07-22
Start date
2026-07-30
Completion date
Unknown
Last updated
2026-08-03

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

Conditions

The frenulum is attached at a low position

Interventions

Gold Standard:The clinical diagnosis made by experienced orthodontic specialists.
Index test:An automatic system for identifying and segmenting labial frenulum attachment points in oral digital scans based on deep learning architecture

Sponsors

HeFei Stomatological Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1.Clinical data are complete(including age, gender, chief complaint, clinical diagnosis, etc.); 2.The image data is clear, with the labial frenulum area fully visible, and no severe artifacts or obstructions; 3.No oral soft tissue disease; 4.The patient has given informed consent and is cooperating well;

Exclusion criteria

Exclusion criteria: 1. There is a history of surgery in the frenulum area; 2. There are serious periodontal or dental problems; 3. There are tumors, injuries, or inflammations in the mouth that affect the shape of the frenulum; 4. The image quality is poor; 5. The patient doesn’t meet the inclusion criteria or is uncooperative; 6. There are serious systemic diseases.

Design outcomes

Primary

MeasureTime frame
Calibration;Distinguishability;Clinical Net Benefit;

Countries

China

Contacts

Public ContactQiqi Chen

HeFei Stomatological Hospital

2802848737@qq.com+86 13752180752

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Aug 10, 2026