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Distinguishing and grading human gliomas by IR spectroscopy
Author(s) -
Steiner Gerald,
Shaw Anthony,
ChooSmith LinP'ing,
Abuid Mario H.,
Schackert Gabriele,
Sobottka Stephan,
Steller Wolfram,
Salzer Reiner,
Mantsch Henry H.
Publication year - 2003
Publication title -
biopolymers
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.556
H-Index - 125
eISSN - 1097-0282
pISSN - 0006-3525
DOI - 10.1002/bip.10487
Subject(s) - brain tissue , astrocytoma , grading (engineering) , chemistry , glioma , malignancy , glioblastoma , pathology , spectroscopy , infrared spectroscopy , brain tumor , in vivo magnetic resonance spectroscopy , biomedical engineering , biology , cancer research , medicine , radiology , magnetic resonance imaging , ecology , physics , organic chemistry , quantum mechanics
As a molecular probe of tissue composition, IR spectroscopy can potentially serve as an adjunct to histopathology in detecting and diagnosing disease. This study demonstrates that cancerous brain tissue (astrocytoma, glioblastoma) is distinguishable from control tissue on the basis of the IR spectra of thin tissue sections. It is further shown that the IR spectra of astrocytoma and glioblastoma affected tissue can be discriminated from one another, thus providing insight into the malignancy grade of the tissue. Both the spectra and the methods employed for their classification reveal characteristic differences in tissue composition. In particular, the nature and relative amounts of brain lipids, including both the gangliosides and phospholipids, appear to be altered in cancerous compared to control tissue. Using a genetic classification approach, classification success rates of up to 89% accuracy were obtained, depending on the number of regions included in the model. The diagnostic potential and practical applications of IR spectroscopy in brain tumor diagnosis are discussed. © 2003 Wiley Periodicals, Inc. Biopolymers (Biospectroscopy), 2003