Multiharmonic imaging-based automated recognition of cutaneous T-cell lymphoma
We demonstrate that NLOM, combined with AI, can detect lymphocyte epidermotropism and dermal infiltration in haematoxylin and eosin-stained MF skin tissue. This approach offers dermatologists a powerful tool to improve the diagnosis and prognosis of MF, paving the way for more timely and precise therapeutic strategies. An author video to accompany this article is available online.
Authors
- Davide Staedler (ORCID: https://orcid.org/0000-0002-1602-0677)
- Christoph Iselin (ORCID: https://orcid.org/0009-0005-2750-5679)
- Luigi Bonacina (ORCID: https://orcid.org/0000-0003-0476-4473)
- Doyoung Kim (ORCID: https://orcid.org/0000-0003-3021-9700)
- Yun‐Tsan Chang (ORCID: https://orcid.org/0000-0001-6081-9614)
- Shayantani Ghosh (ORCID: https://orcid.org/0000-0003-0479-6248)
- Olesya Pavlova (ORCID: https://orcid.org/0000-0002-6450-0659)
- Emmanuella Guenova (ORCID: https://orcid.org/0000-0001-5478-8735)
- Alexandra Latshaw
- Pacôme Prompsy (ORCID: https://orcid.org/0000-0003-4375-7583)
- Pauline Bernard (ORCID: https://orcid.org/0009-0003-6120-6483)
- Yi-Chien Tsai
Institutions
- University of Geneva (CH)
- Johannes Kepler University of Linz (AT)
- Kepler Universitätsklinikum (AT)
- University of Lausanne (CH)
Publication Details
- Journal
- British Journal of Dermatology
- Published
- 2025-09-04
- DOI
- https://doi.org/10.1093/bjd/ljaf345
- Primary Topic
- Cutaneous lymphoproliferative disorders research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation
- Helsinn
- Mallinckrodt Pharmaceuticals
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- Université de Genève
- Université de Lausanne
- Centre Hospitalier Universitaire Vaudois
- Swiss Cancer Research Foundation
- Horizon 2020 Framework Programme
- H2020 Leadership in Enabling and Industrial Technologies
- H2020 LEIT Information and Communication Technologies