Melanoma and Nevi Subtype Histopathological Characterization with Optical Coherence Tomography

Cristina L. Saratxaga*, Aintzane Asumendi, Jesús Gardeazabal, Rosa M. Izu, Ana Sanchez, Goikoana Cancho-Galan, Celia Morales, Sergio Lage, Maria D. Boyano, Olga M. Conde, Estibaliz Garrote

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Article number625
JournalLife
Volume13
Issue number3
DOIs
Publication statusPublished - Mar 2023

Funding

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.

FundersFunder number
Department of Economic Development
Spanish Ministry of Science and EducationCER-20211030
Eusko JaurlaritzaKK-2020/00069
Universidad de Cantabria
Electronic Components and Systems for European Leadership692470

    Keywords

    • CADx
    • HE
    • OCT
    • histopathology
    • melanoma
    • optical biopsy
    • optical properties
    • skin cancer
    • textural properties

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