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Pattern recognition of MRSI data shows regions of glioma growth that agree with DTI markers of brain tumor infiltration
Author(s) -
Wright Alan J.,
Fellows G.,
Byrnes T. J.,
Opstad K. S.,
McIntyre D. J. O.,
Griffiths J. R.,
Bell B. A.,
Clark C. A.,
Barrick T. R.,
Howe F. A.
Publication year - 2009
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.22163
Subject(s) - infiltration (hvac) , diffusion mri , glioma , brain tumor , pathology , magnetic resonance imaging , brain tissue , fractional anisotropy , nuclear magnetic resonance , medicine , radiology , biomedical engineering , materials science , physics , cancer research , composite material
Gliomas are the most common primary brain tumors and the majority are highly malignant, with one of the worst prognoses for patients. Gliomas are characterized by invasive growth into normal brain tissue that makes complete surgical resection and accurate radiotherapy planning extremely difficult. We have performed independent component analysis of magnetic resonance spectroscopy imaging data from human gliomas to segment brain tissue into tumor core, tumor infiltration, and normal brain, with confirmation by diffusion tensor imaging analysis. Our data are consistent with previous studies that compared anomalies in isotropic and anisotropic diffusion images to determine regions of potential glioma infiltration. We show that coefficients of independent components can be used to create colored images for easy visual identification of regions of infiltrative tumor growth. Magn Reson Med, 2009. © 2009 Wiley‐Liss, Inc.