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Erschienen in: Lasers in Medical Science 2/2019

11.12.2018 | Review Article

Optical coherence tomography imaging of melanoma skin cancer

verfasst von: Ali Rajabi-Estarabadi, Julie M. Bittar, Caiwei Zheng, Vanessa Nascimento, Isabella Camacho, Lynn G. Feun, Mohammadreza Nasiriavanaki, Michael Kunz, Keyvan Nouri

Erschienen in: Lasers in Medical Science | Ausgabe 2/2019

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Abstract

No consensus guidelines exist on the use of optical coherence tomography (OCT) for diagnosis of cutaneous melanoma. The objectives of this review are to provide a descriptive review of the literature on characteristics of cutaneous melanomas seen on high-definition OCT (HD-OCT), speckle variance OCT (SV-OCT), and conventional OCT and to compare their diagnostic ability with that of histopathology. A review of PubMed and Google Scholar identified all available literature on OCT in melanoma skin cancer that included all in vivo and ex vivo studies on human or human tissues and excluded all studies on non-human subjects or animal studies. Two hundred nine abstracts were considered for evaluation, 31 abstracts were selected for manuscript review, and 14 abstracts were included that met all criteria. Diagnoses of MIS and MM using HD-OCT and SV-OCT were consistently reported to correlate with histopathology. However, accuracy of diagnosis using conventional OCT varied. Most authors agreed that it was difficult to differentiate MM from benign nevi using conventional OCT. HD-OCT, SV-OCT, and conventional OCT show promise for visualizing cutaneous melanoma. The use of OCT in diagnosis of melanoma is rarely reported in the literature. There is a need to increase and standardize reporting of OCT for diagnosis of cutaneous melanoma.
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Metadaten
Titel
Optical coherence tomography imaging of melanoma skin cancer
verfasst von
Ali Rajabi-Estarabadi
Julie M. Bittar
Caiwei Zheng
Vanessa Nascimento
Isabella Camacho
Lynn G. Feun
Mohammadreza Nasiriavanaki
Michael Kunz
Keyvan Nouri
Publikationsdatum
11.12.2018
Verlag
Springer London
Erschienen in
Lasers in Medical Science / Ausgabe 2/2019
Print ISSN: 0268-8921
Elektronische ISSN: 1435-604X
DOI
https://doi.org/10.1007/s10103-018-2696-1

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