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Prospective Study on Accuracy of Oral Mucosal Disease Aided Diagnosis System Based on Computer Vision Technology

Prospective Study on Accuracy of Oral Mucosal Disease Aided Diagnosis System Based on Computer Vision Technology

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000036564
Enrollment
Unknown
Registered
2020-08-24
Start date
2020-09-30
Completion date
Unknown
Last updated
2020-09-14

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

Conditions

Oral mucosal disease

Interventions

Gold Standard:Pathological diagnosis: HE staining, combined with immunopathology if necessary, and pathological diagnosis by two oral pathologists.
diagnosis&#32
system

Sponsors

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

Eligibility

Sex/Gender
All
Age
18 Years to 75 Years

Inclusion criteria

Inclusion criteria: 1. The clinical and pathological diagnosis is oral leukoplakia, oral lichen planus, oral lichenoid lesion and oral hyperkeratosis. 2. Aged 18 ~ 75 years. 3. Be able to sign informed consent.

Exclusion criteria

Exclusion criteria: 1. Pregnant or lactating women; 2. Patients with tumors, psychosis and other oral mucosal diseases; 3. Patients with severe cardiovascular or liver and kidney diseases.

Design outcomes

Primary

MeasureTime frame
SEN, SPE, ACC, AUC of ROC, PPV, NPV;

Countries

China

Contacts

Public ContactXuemin Shen

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

kiyoshen@163.com+86 15821333957

Outcome results

None listed

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