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Proceedings Paper

Bimodal spectroscopy for in vivo characterization of hypertrophic skin tissue: pre-clinical experimentation, spectral data selection and classification
Author(s): Honghui Liu; Héloïse Gisquet; F. Guillemin; Walter C. P. M. Blondel
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Paper Abstract

Objective: The objective of this study was two folds: firstly, we would like to investigate the efficiency of bimodal spectroscopic technique in characterization of hypertrophic scarring tissue deliberately created on a preclinical model (rabbit's ear); on the other hand, we evaluate the inhibition effect of an anti-inflammatory medication (tacrolimus) on hypertrophic formation in scar by using our bimodal spectroscopic system. Study design: This study was conducted on 20 New Zealand Rabbits receiving hypertrophic scarring treatment on their ears. Fluorescence and Diffuse Reflectance spectra were collected from each scar, amongst which some had received tacrolimus treatment. Features were extracted from corrected spectral data and analyzed to classify the scarring tissues into hypertrophic or non-hypertrophic. Diagnostic algorithms were developed with the use of k-NN classifier and validated by comparing to histological classification result with Leave-one- out cross validation. Results and discussion: The accuracy of our bimodal spectroscopy method for detecting hypertrophic scarring scar tissue was good (sensibility: 90.84%, specificity: 94.44%). The features used for classification were mainly extracted from the spectra exited at 360, 410 and 420 nm. This indicates that the difference between the spectra acquired from hypertrophic and non-hypertrophic tissue may be due to the different intensity distribution of several fluorophores (collagen,elastin and NADH) excited in this range, or to the change in proportion of tissue layers (epidermis and dermis) explored by the CEFS in use.

Paper Details

Date Published: 17 June 2011
PDF: 5 pages
Proc. SPIE 8087, Clinical and Biomedical Spectroscopy and Imaging II, 80872H (17 June 2011); doi: 10.1117/12.888926
Show Author Affiliations
Honghui Liu, Ctr. de Recherche en Automatique de Nancy, CNRS, Nancy Univ. (France)
Héloïse Gisquet, Univ. Hospital of Nancy (France)
F. Guillemin, Ctr. Alexis Vautrin (France)
Walter C. P. M. Blondel, Ctr. de Recherche en Automatique de Nancy, CNRS, Nancy Univ. (France)


Published in SPIE Proceedings Vol. 8087:
Clinical and Biomedical Spectroscopy and Imaging II
Nirmala Ramanujam; Jürgen Popp, Editor(s)

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