Pattern recognition of MRSI data shows regions of glioma growth that agree with DTI markers of brain tumor infiltration.

Abstract:

: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.

journal_name

Magn Reson Med

authors

Wright AJ,Fellows G,Byrnes TJ,Opstad KS,McIntyre DJ,Griffiths JR,Bell BA,Clark CA,Barrick TR,Howe FA

doi

10.1002/mrm.22163

subject

Has Abstract

pub_date

2009-12-01 00:00:00

pages

1646-51

issue

6

eissn

0740-3194

issn

1522-2594

journal_volume

62

pub_type

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