RT Journal Article
T1 Melanoma and Nevi Subtype Histopathological Characterization with Optical Coherence Tomography
A1 Saratxaga, Cristina L.
A1 Asumendi, Aintzane
A1 Gardeazabal, Jesús
A1 Izu, Rosa M.
A1 Sanchez, Ana
A1 Cancho-Galan, Goikoana
A1 Morales, Celia
A1 Lage, Sergio
A1 Boyano, Maria D.
A1 Conde, Olga M.
A1 Garrote, Estibaliz
AB Background: Melanoma incidence has continued to rise in the latest decades, and the forecast is not optimistic. Non-invasive diagnostic imaging techniques such as optical coherence tomography (OCT) are largely studied; however, there is still no agreement on its use for the diagnosis of melanoma. For dermatologists, the differentiation of non-invasive (junctional nevus, compound nevus, intradermal nevus, and melanoma in-situ) versus invasive (superficial spreading melanoma and nodular melanoma) lesions is the key issue in their daily routine. Methods: This work performs a comparative analysis of OCT images using haematoxylin–eosin (HE) and anatomopathological features identified by a pathologist. Then, optical and textural properties are extracted from OCT images with the aim to identify subtle features that could potentially maximize the usefulness of the imaging technique in the identification of the lesion’s potential invasiveness. Results: Preliminary features reveal differences discriminating melanoma in-situ from superficial spreading melanoma and also between melanoma and nevus subtypes that pose a promising baseline for further research. Conclusions: Answering the final goal of diagnosing non-invasive versus invasive lesions with OCT does not seem feasible in the short term, but the obtained results demonstrate a step forward to achieve this.
SN 2075-1729
YR 2023
FD 2023-03
LK https://hdl.handle.net/11556/3558
UL https://hdl.handle.net/11556/3558
LA eng
NO Saratxaga , C L , Asumendi , A , Gardeazabal , J , Izu , R M , Sanchez , A , Cancho-Galan , G , Morales , C , Lage , S , Boyano , M D , Conde , O M & Garrote , E 2023 , ' Melanoma and Nevi Subtype Histopathological Characterization with Optical Coherence Tomography ' , Life , vol. 13 , no. 3 , 625 . https://doi.org/10.3390/life13030625
NO Publisher Copyright: © 2023 by the authors.
NO This work has been funded by the Department of Economic Development, Sustainability and the Environment of the Basque Government (Spain) ELKARTEK projects ONKOTOOLS with grant numbers KK-2020/00069, the Spanish Ministry of Science and Education CERVERA project AI4ES with grant numbers CER-20211030, and by the ECSEL JU European project ASTONISH with the grant number 692470, UC Industrial Doctorate DI14.
DS TECNALIA Publications
RD 31 jul 2024