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• W1155577237 abstract "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." @default.
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• W1155577237 date "2015-08-11" @default.
• W1155577237 modified "2023-09-26" @default.
• W1155577237 title "Dynamic markers based on blood perfusion fluctuations for selecting skin melanocytic lesions for biopsy" @default.
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• W1155577237 doi "https://doi.org/10.1038/srep12825" @default.
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