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Journal of Biomedical Optics

Infrared spectral imaging as a novel approach for histopathological recognition in colon cancer diagnosis
Author(s): Jayakrupakar Nallala; Cyril Gobinet; Marie Danielle Diebold; Valerie Untereiner; Olivier Bouché; Michel Manfait; Ganesh Dhruvananda Sockalingum; Olivier Piot
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Paper Abstract

Innovative diagnostic methods are the need of the hour that could complement conventional histopathology for cancer diagnosis. In this perspective, we propose a new concept based on spectral histopathology, using IR spectral micro-imaging, directly applied to paraffinized colon tissue array stabilized in an agarose matrix without any chemical pre-treatment. In order to correct spectral interferences from paraffin and agarose, a mathematical procedure is implemented. The corrected spectral images are then processed by a multivariate clustering method to automatically recover, on the basis of their intrinsic molecular composition, the main histological classes of the normal and the tumoral colon tissue. The spectral signatures from different histological classes of the colonic tissues are analyzed using statistical methods (Kruskal-Wallis test and principal component analysis) to identify the most discriminant IR features. These features allow characterizing some of the biomolecular alterations associated with malignancy. Thus, via a single analysis, in a label-free and nondestructive manner, main changes associated with nucleotide, carbohydrates, and collagen features can be identified simultaneously between the compared normal and the cancerous tissues. The present study demonstrates the potential of IR spectral imaging as a complementary modern tool, to conventional histopathology, for an objective cancer diagnosis directly from paraffin-embedded tissue arrays.

Paper Details

Date Published: 1 November 2012
PDF: 12 pages
J. Biomed. Opt. 17(11) 116013 doi: 10.1117/1.JBO.17.11.116013
Published in: Journal of Biomedical Optics Volume 17, Issue 11
Show Author Affiliations
Jayakrupakar Nallala, Univ. de Reims Champagne-Ardenne (France)
Cyril Gobinet, Univ. de Reims Champagne-Ardenne (France)
Marie Danielle Diebold, Univ. de Reims Champagne-Ardenne (France)
Valerie Untereiner, Univ. de Reims Champagne-Ardenne (France)
Olivier Bouché, Univ. de Reims Champagne-Ardenne (France)
Michel Manfait, Univ. de Reims Champagne-Ardenne (France)
Ganesh Dhruvananda Sockalingum, Univ. de Reims Champagne-Ardenne (France)
Olivier Piot, Univ. de Reims Champagne-Ardenne (France)

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