| Summary: | This study aims at investigating the efficiency of bimodal spectroscopy in detection of
hypertrophic scar tissue on a preclinical model. Fluorescence and Diffuse Reflectance spectra were
collected from 55 scars deliberately created on ears of 20 rabbits, amongst which some received
tacrolimus injection to provide non-hypertrophic scar tissue. The spectroscopic data measured on
hypertrophic and non-hypertrophic scar tissues were used for developing our classification
algorithm. Spectral features were extracted from corrected data and analyzed to classify the scar
tissues into hypertrophic or non-hypertrophic. The Algorithm was developed using k-NN classifier and
validated by comparing to histological classification result with Leave-One-Out cross validation.
Bimodal spectroscopy showed promising results in detecting hypertrophic tissue (sensibility
90.5%, specificity 94.4%). The features used for classification were extracted from
the autofluorescence spectra collected at 4 CEFS with excitations at 360,
410, and 420 nm. This indicates the hypertrophic process may involve
change in concentration of several fluorophores (collagen, elastin and NADH) excited in this range,
or modification in volume of explored tissue layers (epidermis and dermis) due to tissue
thickening.
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