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Development and clinical application of a deep learning-based system for gingival-porcelain color prediction

Development and clinical application of a deep learning-based system for gingival-porcelain color prediction

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Interventional
Source
ChiCTR
Registry ID
ChiCTR2400087010
Enrollment
Unknown
Registered
2024-07-17
Start date
2024-07-20
Completion date
Unknown
Last updated
2024-07-22

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

Conditions

Dental/Dentition defect

Interventions

Experimental group:Restorations will be made based on instrumental color measurement and color system prediction of gingival porcelain powder composition
Control group:Visual colorimetry+manual determination for the composition of gingival porcelain powders

Sponsors

Hospital of Stomatology of Peking University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: Patients: 1.Fixed restorations or implant restorations of anterior teeth 2.There are soft and hard tissue defects that need to be restored with gingival porcelain 3.Restorations based on zirconia 4.Healthy gums without inflammation. Patients with gingivitis or periodontitis should accept periodontic treatment till color, form and texture of gingiva return to normal Healthy people: a. Age range: 18-80 years old; b. There are no obvious tartar on the upper and lower front teeth; c. Healthy gums without inflammation; d. Measure teeth with at least 2mm keratinized gingiva

Exclusion criteria

Exclusion criteria: Patients: 1.Tend to have removable denture restorations 2.No need for gingival porcelain 3.Patients with gingivitis or periodontitis Healthy people: a. There is obvious inflammation in the gums; b. There is obvious melanin staining on the gums; c. Opening too small

Design outcomes

Primary

MeasureTime frame
The difference in the color of the gingival porcelain part of the restoration and the adjacent gingival soft tissue color;

Secondary

MeasureTime frame
Esthetic acceptability assessment of restorations;

Countries

China

Contacts

Public ContactChen Li

Hospital of Stomatology of Peking University

ccchen_007@163.com+86 135 2001 7525

Outcome results

None listed

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