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Dynamic markers based on blood perfusion fluctuations for selecting skin melanocytic lesions for biopsy

Skin malignant melanoma is a highly angiogenic cancer, necessitating early diagnosis for positive prognosis. The current diagnostic standard of biopsy and histological examination inevitably leads to many unnecessary invasive excisions. Here, we propose a non-invasive method of identification of mel...

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Autores principales: Lancaster, Gemma, Stefanovska, Aneta, Pesce, Margherita, Marco Vezzoni, Gian, Loggini, Barbara, Pingitore, Raffaele, Ghiara, Fabrizio, Barachini, Paolo, Cervadoro, Gregorio, Romanelli, Marco, Rossi, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4542467/
https://www.ncbi.nlm.nih.gov/pubmed/26260030
http://dx.doi.org/10.1038/srep12825
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author Lancaster, Gemma
Stefanovska, Aneta
Pesce, Margherita
Marco Vezzoni, Gian
Loggini, Barbara
Pingitore, Raffaele
Ghiara, Fabrizio
Barachini, Paolo
Cervadoro, Gregorio
Romanelli, Marco
Rossi, Marco
author_facet Lancaster, Gemma
Stefanovska, Aneta
Pesce, Margherita
Marco Vezzoni, Gian
Loggini, Barbara
Pingitore, Raffaele
Ghiara, Fabrizio
Barachini, Paolo
Cervadoro, Gregorio
Romanelli, Marco
Rossi, Marco
author_sort Lancaster, Gemma
collection PubMed
description Skin malignant melanoma is a highly angiogenic cancer, necessitating early diagnosis for positive prognosis. The current diagnostic standard of biopsy and histological examination inevitably leads to many unnecessary invasive excisions. Here, we propose a non-invasive method of identification of melanoma based on blood flow dynamics. We consider a wide frequency range from 0.005–2 Hz associated with both local vascular regulation and effects of cardiac pulsation. Combining uniquely the power of oscillations associated with individual physiological processes we obtain a marker which distinguishes between melanoma and atypical nevi with sensitivity of 100% and specificity of 90.9%. The method reveals valuable functional information about the melanoma microenvironment. It also provides the means for simple, accurate, in vivo distinction between malignant melanoma and atypical nevi, and may lead to a substantial reduction in the number of biopsies currently undertaken.
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spelling pubmed-45424672015-09-01 Dynamic markers based on blood perfusion fluctuations for selecting skin melanocytic lesions for biopsy Lancaster, Gemma Stefanovska, Aneta Pesce, Margherita Marco Vezzoni, Gian Loggini, Barbara Pingitore, Raffaele Ghiara, Fabrizio Barachini, Paolo Cervadoro, Gregorio Romanelli, Marco Rossi, Marco Sci Rep Article Skin malignant melanoma is a highly angiogenic cancer, necessitating early diagnosis for positive prognosis. The current diagnostic standard of biopsy and histological examination inevitably leads to many unnecessary invasive excisions. Here, we propose a non-invasive method of identification of melanoma based on blood flow dynamics. We consider a wide frequency range from 0.005–2 Hz associated with both local vascular regulation and effects of cardiac pulsation. Combining uniquely the power of oscillations associated with individual physiological processes we obtain a marker which distinguishes between melanoma and atypical nevi with sensitivity of 100% and specificity of 90.9%. The method reveals valuable functional information about the melanoma microenvironment. It also provides the means for simple, accurate, in vivo distinction between malignant melanoma and atypical nevi, and may lead to a substantial reduction in the number of biopsies currently undertaken. Nature Publishing Group 2015-08-11 /pmc/articles/PMC4542467/ /pubmed/26260030 http://dx.doi.org/10.1038/srep12825 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Lancaster, Gemma
Stefanovska, Aneta
Pesce, Margherita
Marco Vezzoni, Gian
Loggini, Barbara
Pingitore, Raffaele
Ghiara, Fabrizio
Barachini, Paolo
Cervadoro, Gregorio
Romanelli, Marco
Rossi, Marco
Dynamic markers based on blood perfusion fluctuations for selecting skin melanocytic lesions for biopsy
title Dynamic markers based on blood perfusion fluctuations for selecting skin melanocytic lesions for biopsy
title_full Dynamic markers based on blood perfusion fluctuations for selecting skin melanocytic lesions for biopsy
title_fullStr Dynamic markers based on blood perfusion fluctuations for selecting skin melanocytic lesions for biopsy
title_full_unstemmed Dynamic markers based on blood perfusion fluctuations for selecting skin melanocytic lesions for biopsy
title_short Dynamic markers based on blood perfusion fluctuations for selecting skin melanocytic lesions for biopsy
title_sort dynamic markers based on blood perfusion fluctuations for selecting skin melanocytic lesions for biopsy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4542467/
https://www.ncbi.nlm.nih.gov/pubmed/26260030
http://dx.doi.org/10.1038/srep12825
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