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Application of autofluorescence artificial intelligence in the diagnosis of early cancer of oral mucosa

Exploratory study of autofluorescence artificial intelligence in the diagnosis of early cancer of oral mucosa

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500102301
Enrollment
Unknown
Registered
2025-05-13
Start date
2023-12-08
Completion date
Unknown
Last updated
2025-05-19

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

Conditions

oral potentially malignant disorders

Interventions

Gold Standard:Histopathological diagnosis
Index test:Autofluorescence image

Sponsors

Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 75 Years

Inclusion criteria

Inclusion criteria: 1. The clinical and pathological diagnosis was oral leukoplakia, oral lichen planus, and oral mucous moss lesion; 2. Age 18-75 years old; 3. It has not been treated with laser, freezing, radiotherapy or chemotherapy; 4. Can sign informed consent.

Exclusion criteria

Exclusion criteria: 1. Pregnant or lactating women; 2. Other oral mucosal diseases, tumors, mental patients.

Design outcomes

Primary

MeasureTime frame
Autofluorescence image results;—

Countries

China

Contacts

Public ContactLi Chenxi

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

370906704@qq.com+86 188 1756 0293

Outcome results

None listed

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