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Research on the Assessment of Cancer Risk in Potentially Malignant Oral Mucosal Lesions Using Multimodal Deep Learning Models

Research on the Assessment of Cancer Risk in Potentially Malignant Oral Mucosal Lesions Using Multimodal Deep Learning Models

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500105803
Enrollment
Unknown
Registered
2025-07-10
Start date
2025-08-01
Completion date
Unknown
Last updated
2025-07-14

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

Conditions

Oral potentially malignant disorder, OPMD

Interventions

Gold Standard:Histopathological diagnosis
Index test:Multimodal Deep Learning Model for Assessing Malignant Transformation Risk in Oral Potentially Malignant Disorders (OPMD)

Sponsors

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

Eligibility

Sex/Gender
All
Age
18 Years to 75 Years

Inclusion criteria

Inclusion criteria: 1.Clinical and pathological diagnoses include oral leukoplakia, oral lichen planus, oral lichenoid lesions, oral submucous fibrosis, and erythroplakia. 2.Age between 18 and 75 years (inclusive). 3.Able to voluntarily and accurately provide a history of risk habits such as smoking and alcohol consumption. 4.Able to cooperate with autofluorescence examination.

Exclusion criteria

Exclusion criteria: 1.Pregnant or breastfeeding women. 2.Patients with other oral mucosal diseases or psychiatric disorders.

Design outcomes

Primary

MeasureTime frame
The pathological grading (high-risk/low-risk of malignant transformation) predicted by the multimodal deep learning model compared with the actual malignant transformation outcomes.;—

Countries

China

Contacts

Public ContactLinjun Shi

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

drshilinjun@126.com+86 181 4973 3306

Outcome results

None listed

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