17 February 2017 Resonance Raman of BCC and normal skin
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The Resonance Raman (RR) spectra of basal cell carcinoma (BCC) and normal human skin tissues were analyzed using 532nm laser excitation. RR spectral differences in vibrational fingerprints revealed skin normal and cancerous states tissues. The standard diagnosis criterion for BCC tissues are created by native RR biomarkers and its changes at peak intensity. The diagnostic algorithms for the classification of BCC and normal were generated based on SVM classifier and PCA statistical method. These statistical methods were used to analyze the RR spectral data collected from skin tissues, yielding a diagnostic sensitivity of 98.7% and specificity of 79% compared with pathological reports.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Cheng-hui Liu, Cheng-hui Liu, Vidyasagar Sriramoju, Vidyasagar Sriramoju, Susie Boydston-White, Susie Boydston-White, Binlin Wu, Binlin Wu, Chunyuan Zhang, Chunyuan Zhang, Zhe Pei, Zhe Pei, Laura Sordillo, Laura Sordillo, Hugh Beckman, Hugh Beckman, Robert R. Alfano, Robert R. Alfano, } "Resonance Raman of BCC and normal skin", Proc. SPIE 10060, Optical Biopsy XV: Toward Real-Time Spectroscopic Imaging and Diagnosis, 100601B (17 February 2017); doi: 10.1117/12.2254628; https://doi.org/10.1117/12.2254628

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