AI in MF Diagnosis

NCT07795242 | Not Yet Recruiting

• 1 other identifier: 302
• Study Type: observational
• Target: 50
• Locations: 1 country
• Sites: 1

Brief Summary

The aim of this observational study is to evaluate the diagnostic performance of an AI algorithm in the histopathological diagnosis of MF compared to certified dermatopathologists.

Conditions

Mycosis Fungoides of Skin (Diagnosis); Artificial Intelligence (AI) in Diagnosis

Outcome Measures

Primary Outcomes (1)

• The accuracy of artificial intelligence in histopathological diagnosis of Mycosis fungoides will be evaluated by sensitivity and specificity

  1 year

Interventions

this study does not include any intervention OTHER

Does not include intervention

Eligibility Criteria

• Sex: all
• Healthy Volunteers: No
• Age Groups: Child (0-17), Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

H\&E stained glass slides of MF cases will be collected from the pathology archive of Al hussein dermatopathology unit

You may qualify if:

• Slides will be included in the study if they meet the following criteria:
• Histopathological slides diagnosed as MF.
• Slides with adequate staining and preservation allowing clear visualization of histopathological features.

You may not qualify if:

• Slides will be excluded if they meet any of the following criteria:
• Slides with poor staining quality or significant artifacts interfering with histopathological interpretation.
• Slides that were damaged, faded, or inadequately preserved.
• Slides with uncertain or inconclusive original diagnoses.
• Slides that could not be successfully digitized due to technical limitations ex very short or too long slides.

Sponsors & Collaborators

• Al-Azhar University: lead

Study Sites (1)

Faculty of Medicine , Al Azhar university , Nasr city , Cairo , Egypt

Cairo, Egypt

Location

Biospecimen

Retention: SAMPLES WITHOUT DNA

Pathology specimens stained with H\&E stains from MF lesions

MeSH Terms

Conditions

Disease

Condition Hierarchy (Ancestors)

Pathologic Processes; Pathological Conditions, Signs and Symptoms

Study Officials

• Shimaa Ali Ahmed

  Al Azhar university for boys

  PRINCIPAL INVESTIGATOR

Central Study Contacts

Shimaa Ali Ahmed, Resident of dermatology

CONTACT

+201024466776; shimaaali038@gmail.com

Study Design

• Study Type: observational
• Observational Model: OTHER
• Time Perspective: RETROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Resident Dermatologist

Study Record Dates

• First Submitted: August 25, 2026
• First Posted: August 31, 2026
• Study Start: October 1, 2026
• Primary Completion (Estimated): October 1, 2027
• Study Completion (Estimated): December 1, 2027
• Last Updated: August 31, 2026

Record last verified: 2026-08

Locations

EG (1)