Application of machine learning based dermatomics in the diagnosis and treatment of extramammary Paget's disease

Machine learning of skin imaging omics in clinical diagnosis and treatment of Extramammary Paget's Disease

Status

Recruiting

Phases

Early Phase 1

Study type

Observational

Source

ChiCTR

Registry ID

ChiCTR2000037682

Enrollment

Unknown

Registered

2020-08-30

Start date

2020-10-01

Completion date

Unknown

Last updated

2020-11-02

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

Conditions

Extramammary Paget’s Disease

Interventions

case series:Nil

Eligibility

Sex/Gender

All

Age

30 Years to 100 Years

Inclusion criteria

Inclusion criteria: 1. Patients with Paget's disease outside breast were diagnosed clearly by pathology; 2. Patients who signed the informed consent form are willing to accept skin photography, skin mirror and skin confocal microscope.

Exclusion criteria

Exclusion criteria: Patients with extramammary Paget's disease who cannot be detected by dermatography, dermoscopy and skin confocal microscopy.

Design outcomes

Primary

Measure	Time frame
skin image;	—

Countries

China

Contacts

Public ContactLiang Jun

Huashan Hospital Affiliated to Fudan University

liangjun1976@medmail.com.cn+86 13818103597

Outcome results

None listed

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