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Journal of Biomedical Optics

Development of Raman microspectroscopy for automated detection and imaging of basal cell carcinoma
Author(s): Marta Larraona-Puy; Adrian Ghita; Alina B. Zoladek; William Perkins; Sandeep Varma; Iain H. Leach; Alexey Koloydenko; Hywel Williams; Ioan Notingher
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Paper Abstract

We investigate the potential of Raman microspectroscopy (RMS) for automated evaluation of excised skin tissue during Mohs micrographic surgery (MMS). The main aim is to develop an automated method for imaging and diagnosis of basal cell carcinoma (BCC) regions. Selected Raman bands responsible for the largest spectral differences between BCC and normal skin regions and linear discriminant analysis (LDA) are used to build a multivariate supervised classification model. The model is based on 329 Raman spectra measured on skin tissue obtained from 20 patients. BCC is discriminated from healthy tissue with 90±9% sensitivity and 85±9% specificity in a 70% to 30% split cross-validation algorithm. This multivariate model is then applied on tissue sections from new patients to image tumor regions. The RMS images show excellent correlation with the gold standard of histopathology sections, BCC being detected in all positive sections. We demonstrate the potential of RMS as an automated objective method for tumor evaluation during MMS. The replacement of current histopathology during MMS by a "generalization" of the proposed technique may improve the feasibility and efficacy of MMS, leading to a wider use according to clinical need.

Paper Details

Date Published: 1 September 2009
PDF: 12 pages
J. Biomed. Opt. 14(5) 054031 doi: 10.1117/1.3251053
Published in: Journal of Biomedical Optics Volume 14, Issue 5
Show Author Affiliations
Marta Larraona-Puy, The Univ. of Nottingham (United Kingdom)
Adrian Ghita, The Univ. of Nottingham (United Kingdom)
Alina B. Zoladek, The Univ. of Nottingham (United Kingdom)
William Perkins, Nottingham Univ. Hospitals NHS Trust (United Kingdom)
Sandeep Varma, Nottingham Univ. Hospitals NHS Trust (United Kingdom)
Iain H. Leach, Nottingham Univ. Hospitals NHS Trust (United Kingdom)
Alexey Koloydenko, Univ. of London (United Kingdom)
Hywel Williams, Nottingham Univ. Hospitals NHS Trust (United Kingdom)
Ioan Notingher, The Univ. of Nottingham (United Kingdom)


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