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Final published version, 1.35 MB, PDF document
Available under license: CC BY: Creative Commons Attribution 4.0 International License
Final published version
Licence: CC BY: Creative Commons Attribution 4.0 International License
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Dynamic markers based on blood perfusion fluctuations for selecting skin melanocytic lesions for biopsy
AU - Lancaster, Gemma
AU - Stefanovska, Aneta
AU - Pesce, Margherita
AU - Vezzoni, Gian Marco
AU - Loggini, Barbara
AU - Pingitore, Raffaele
AU - Ghiara, Fabrizio
AU - Barachini, Paolo
AU - Cervadoro, Gregorio
AU - Romanelli, Marco
AU - Rossi, Marco
PY - 2015/8/11
Y1 - 2015/8/11
N2 - 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.
AB - 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.
KW - Angiogenesis
KW - Cancer microenvironment
KW - Biological physics
KW - Diagnostic markers
U2 - 10.1038/srep12825
DO - 10.1038/srep12825
M3 - Journal article
VL - 5
JO - Scientific Reports
JF - Scientific Reports
SN - 2045-2322
M1 - 12825
ER -