An observational study in Mycosis Fungoides of Skin (Diagnosis) and Artificial Intelligence (AI) in Diagnosis, sponsored by Al-Azhar University. Not yet recruiting at 1 site in Egypt. Per ClinicalTrials.gov, last updated 2026-08-31.
Sponsored by Al-Azhar University · Observational
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.
Mycosis fungoides (MF) is the most common form of primary cutaneous T-cell lymphoma. Its early histological features may overlap with benign inflammatory dermatoses, making diagnosis challenging.
This observational study aims to evaluate the diagnostic performance of HistoGPT in the histopathological diagnosis of MF compared with certified dermatopathologists.
H\&E-stained skin biopsy slides will be digitized using a Leica Aperio GT450 whole-slide scanner at 40× magnification.
The resulting whole-slide images will be analyzed using HistoGPT, an AI-based histopathology platform.
The diagnostic performance of HistoGPT and certified dermatopathologists will be assessed and compared using appropriate diagnostic metrics, including accuracy, sensitivity, specificity, F1 score, and area under the ROC curve.
The findings of this study will help determine whether Artificial intelligence can serve as a diagnostic support tool for the histopathological diagnosis of mycosis fungoides.
H\&E stained glass slides of MF cases will be collected from the pathology archive of Al hussein dermatopathology unit
Slides will be included in the study if they meet the following criteria:
Exclusion Criteria:
Slides will be excluded if they meet any of the following criteria:
Does not include intervention
The accuracy of artificial intelligence in histopathological diagnosis of Mycosis fungoides will be evaluated by sensitivity and specificity
Time frame: 1 year
Plan to share: Undecided
No publications or documents are linked to this record.
This study is not yet recruiting, as verified in Aug 2026. You cannot join it, but the record below documents what was studied.
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Al-Azhar University