A 3-dimensional histology computer model of malignant melanoma and its implications for digital pathology
Autor/a
Kurz, Alexander
Krahl, Dieter
Kutzner, Heinz
Barnhill, Raymond
Perasole, Antonio
Fernandez Figueras, Maria Teresa
Ferrara, Gerardo
Braun, Stephan A.
Starz, Hans
Llamas-Velasco, Mar
Sven Utikal, Jochen
Fröhling, Stefan
von Kalle, Christof
Kather, Jakob Nikolas
Schneider, Lucas
Brinker, Titus J.
Fecha de publicación
2023ISSN
0959-8049
Resumen
Background: Historically, cancer diagnoses have been made by pathologists using two-dimensional histological slides. However, with the advent of digital pathology and artificial intelligence, slides are being digitised, providing new opportunities to integrate their information. Since nature is 3-dimensional (3D), it seems intuitive to digitally reassemble the 3D structure for diagnosis. Objective: To develop the first human-3D-melanoma-histology-model with full data and code availability. Further, to evaluate the 3D-simulation together with experienced pathologists in the field and discuss the implications of digital 3D-models for the future of digital pathology. Methods: A malignant melanoma of the skin was digitised via 3 µm cuts by a slide scanner; an open-source software was then leveraged to construct the 3D model. A total of nine pathologists from four different countries with at least 10 years of experience in the histologic diagnosis of melanoma tested the model and discussed their experiences as well as implications for future pathology. Results: We successfully constructed and tested the first 3D-model of human melanoma. Based on testing, 88.9% of pathologists believe that the technology is likely to enter routine pathology within the next 10 years; advantages include a better reflectance of anatomy, 3D assessment of symmetry and the opportunity to simultaneously evaluate different tissue levels at the same time; limitations include the high consumption of tissue and a yet inferior resolution due to computational limitations. Conclusions: 3D-histology-models are promising for digital pathology of cancer and melanoma specifically, however, there are yet limitations which need to be carefully addressed.
Tipo de documento
Artículo
Versión del documento
Versión publicada
Lengua
Inglés
Materias (CDU)
61 - Medicina
616.5 - Piel. Dermatología clínica
Palabras clave
Dermatologia
Patologia digital
Dermatopatologia
Melanoma
Intel·ligència artificial
Aprenentatge profund
Dermatología
Patología digital
Dermatopatología
Melanoma
Inteligencia artificial
Aprendizaje profundo
Dermatology
Digital pathology
Dermatopathology
Melanoma
Artificial intelligence
Deep learning
Páginas
7
Publicado por
Elsevier
Colección
193
Publicado en
European Journal of Cancer
Citación
Kurz, Alexander; Krahl, Dieter; Kutzner, Heinz [et al.]. A 3-dimensional histology computer model of malignant melanoma and its implications for digital pathology. European Journal of Cancer, 2023, 193, 113294. Disponible en: <https://www.ejcancer.com/article/S0959-8049(23)00396-9/fulltext>. Fecha de acceso: 7 nov. 2023. DOI: 10.1016/j.ejca.2023.113294
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© 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Excepto si se señala otra cosa, la licencia del ítem se describe como https://creativecommons.org/licenses/by/4.0/