Dynamic Optical Coherence Tomography of Blood Vessels in Cutaneous Melanoma — Correlation with Histology, Immunohistochemistry and Dermoscopy

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  • Sandra Schuh
  • Elke Christina Sattler
  • Anna Rubeck
  • Stefan Schiele
  • Nathalie De Carvalho
  • Lotte Themstrup
  • Martina Ulrich
  • Jemec, Gregor
  • Jon Holmes
  • Giovanni Pellacani
  • Julia Welzel

Dermoscopy adds important information to the assessment of cutaneous melanoma, but the risk of progression is predicted by histologic parameters and therefore requires surgery and histopathologic preparation. Neo-vascularization is crucial for tumor progression and worsens prognosis. The aim of this study was the in vivo evaluation of blood vessel patterns in melanoma with dynamic optical coherence tomography (D-OCT) and the correlation with dermoscopic and histologic malignancy parameters for the risk assessment of melanoma. In D-OCT vessel patterns, shape, distribution and presence/type of branching of 49 melanomas were evaluated in vivo at three depths and correlated with the same patterns in dermoscopy and with histologic parameters after excision. In D-OCT, blood vessel density and atypical shapes (coils and serpiginous vessels) increased with higher tumor stage. The histologic parameters ulceration and Hmb45- and Ki67-positivity increased, whereas regression, inflammation and PD-L1-positivity decreased with risk. CD31, VEGF and Podoplanin correlated with D-OCT vasculature findings. B-RAF mutation status had no influence. Due to pigment overlay and the summation effect, the vessel evaluation in dermoscopy and D-OCT did not correlate well. In summary, atypical vessel patterns in melanoma correlate with histologic parameters for risk for metastases. Tumor vasculature can be noninvasively assessed using D-OCT before surgery.

OriginalsprogEngelsk
Artikelnummer4222
TidsskriftCancers
Vol/bind15
Udgave nummer17
Antal sider13
ISSN2072-6694
DOI
StatusUdgivet - 2023

Bibliografisk note

Funding Information:
This study was run within the framework of the ADVANCE (Automatic Detection of Vascular Networks for Cancer Evaluation) project (Number 621015) and received funding from the European Union’s ICT Policy Support Program as part of the Competitiveness and Innovation Framework Program.

Publisher Copyright:
© 2023 by the authors.

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