A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
Improving the classification of brain tumors in mice with perturbation enhanced (PE)-MRSI
2012
Integrative Biology
Classifiers based on pattern recognition analysis of MRS(I) data are becoming important tools for the noninvasive diagnosis of human brain tumors [1, 2] . Here we investigate the potential interest of perturbation-enhanced MRSI (PE-MRSI), in this case acute hyperglycemia, during moderate brain hypothermia [3, 4] , for improving the discrimination between mouse brain MRS patterns of glioblastoma multiforme (GBM), low grade oligodendroglioma (ODG2), and non-tumor brain parenchyma (NT). Six
doi:10.1039/c2ib00079b
pmid:22193155
fatcat:pszkcomal5chtlufgvdvbfmj4u