Histology‐based classifier to distinguish early mycosis fungoides from atopic dermatitis

Abstract: Background
Histopathological differentiation of early mycosis fungoides (MF) from benign chronic inflammatory dermatoses remains difficult and often impossible, despite the inclusion of all available diagnostic parameters.

Objective
To identify the most impactful histological criteria for a predictive diagnostic model to discriminate MF from atopic dermatitis (AD).

Methods
In this multicentre study, two cohorts of patients with either unequivocal AD or MF were evaluated by two independent dermatopathologists. Based on 32 histological attributes, a hypothesis-free prediction model was developed and validated on an independent patient's cohort.

Results
A reduced set of two histological features (presence of atypical lymphocytes in either epidermis or dermis) was trained. In an independent validation cohort, this model showed high predictive power (95% sensitivity and 100% specificity) to differentiate MF from AD and robustness against inter-individual investigator differences.

Limitations.
The study investigated a limited number of cases and the classifier is based on subjectively evaluated histological criteria.

Conclusion
Aiming at distinguishing early MF from AD, the proposed binary classifier performed well in an independent cohort and across observers. Combining this histological classifier with immunohistochemical and/or molecular techniques (such as clonality analysis or molecular classifiers) could further promote differentiation of early MF and AD

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
Online-Ressource
Language
Englisch
Notes
Journal of the European Academy of Dermatology and Venereology. - 37, 11 (2023) , 2284-2292, ISSN: 1468-3083

Classification
Medizin, Gesundheit

Event
Veröffentlichung
(where)
Freiburg
(who)
Universität
(when)
2023
Creator
Roenneberg, Sophie
Braun, Stephan Alexander
Garzorz‐Stark, Natalie
Stark, Sebastian P.
Muresan, Ana-Maria
Schmidle, Paul
Biedermann, Tilo
Guenova, Emmanuella
Eyerich, Kilian

DOI
10.1111/jdv.19325
URN
urn:nbn:de:bsz:25-freidok-2383891
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
14.08.2025, 10:46 AM CEST

Data provider

This object is provided by:
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Associated

Time of origin

  • 2023

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