title: Infrared spectral imaging as a novel approach for histopathological recognition in colon cancer diagnosis.
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.
authors.affiliation: 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.
authors.forename: Jayakrupakar
authors.initials: J
authors.lastname: Nallala
authors.forename: Cyril
authors.initials: C
authors.lastname: Gobinet
authors.forename: Marie-Danièle
authors.initials: MD
authors.lastname: Diebold
authors.forename: Valérie
authors.initials: V
authors.lastname: Untereiner
authors.forename: Olivier
authors.initials: O
authors.lastname: Bouché
authors.forename: Michel
authors.initials: M
authors.lastname: Manfait
authors.forename: Ganesh Dhruvananda
authors.initials: GD
authors.lastname: Sockalingum
authors.forename: Olivier
authors.initials: O
authors.lastname: Piot
mesh_terms: D000230:Adenocarcinoma / Q000737:chemistry / Q000175:diagnosis; D000465:Algorithms; D002241:Carbohydrates / Q000737:chemistry; D003094:Collagen / Q000737:chemistry; D003110:Colonic Neoplasms / Q000737:chemistry / Q000175:diagnosis*; D003952:Diagnostic Imaging / Q000379:methods / Q000706:statistics & numerical data; D006801:Humans; D009711:Nucleotides / Q000737:chemistry; D055620:Optical Phenomena; D016612:Paraffin Embedding; D025341:Principal Component Analysis; D012685:Sepharose; D013055:Spectrophotometry, Infrared / Q000379:methods* / Q000706:statistics & numerical data; D017550:Spectroscopy, Fourier Transform Infrared / Q000379:methods / Q000706:statistics & numerical data; D046888:Tissue Array Analysis
chemical_list: D002241:Carbohydrates; D009711:Nucleotides; D003094:Collagen; D012685:Sepharose