Research Papers: Imaging

Infrared spectral imaging as a novel approach for histopathological recognition in colon cancer diagnosis

[+] Author Affiliations
Jayakrupakar Nallala, Cyril Gobinet, Valérie Untereiner, Michel Manfait, Ganesh Dhruvananda Sockalingum, Olivier Piot

Université de Reims Champagne-Ardenne, MéDIAN Biophotonique et Technologies pour la Santé, FRE CNRS 3481 MEDyC, UFR de Pharmacie, SFR Cap Santé, 51 rue Cognacq-Jay, 51096 Reims cedex, France

Marie-Danièle Diebold

Université de Reims Champagne-Ardenne, MéDIAN Biophotonique et Technologies pour la Santé, FRE CNRS 3481 MEDyC, UFR de Pharmacie, SFR Cap Santé, 51 rue Cognacq-Jay, 51096 Reims cedex, France

CHU Robert Debré, Laboratoire d’Anatomie et Cytologie Pathologiques, Avenue du Général Koenig, 51092 Reims Cedex, France

Olivier Bouché

Université de Reims Champagne-Ardenne, MéDIAN Biophotonique et Technologies pour la Santé, FRE CNRS 3481 MEDyC, UFR de Pharmacie, SFR Cap Santé, 51 rue Cognacq-Jay, 51096 Reims cedex, France

CHU Reims, Service d’Hépato Gastroentérologie et de Cancérologie Digestive, Avenue du Général Koenig, 51092 Reims Cedex, France

J. Biomed. Opt. 17(11), 116013 (Nov 01, 2012). doi:10.1117/1.JBO.17.11.116013
History: Received April 12, 2012; Revised August 23, 2012; Accepted September 20, 2012
Text Size: A A A

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.

Figures in this Article
© 2012 Society of Photo-Optical Instrumentation Engineers

Citation

Jayakrupakar Nallala ; Cyril Gobinet ; Marie-Danièle Diebold ; Valérie Untereiner ; Olivier Bouché, et al.
"Infrared spectral imaging as a novel approach for histopathological recognition in colon cancer diagnosis", J. Biomed. Opt. 17(11), 116013 (Nov 01, 2012). ; http://dx.doi.org/10.1117/1.JBO.17.11.116013


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

PubMed Articles
Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.