Article Figures & Data
Figures
- Fig 1.
A 54-year-old woman with 1p/19q LOH oligodendroglioma. Axial FLAIR image (A) demonstrates an ill-defined hyperintense mass in the right parieto-occipital region extending into the lateral ventricles. There is heterogeneous contrast enhancement within the mass on the corresponding postcontrast T1-weighted image (B).1H-MRS grid overlaid on CBV map (C) demonstrating a voxel from the rCBVmax region (black). Corresponding spectrum (D) from this voxel shows lipid + lactate, NAA, Glx, Cr, Cho, and myo-inositol peaks.
- Fig 2.
A 49-year-old woman diagnosed with oligodendroglioma with intact alleles. Axial FLAIR image (A) demonstrates an extensive hyperintense mass in the left frontal lobe extending into the genu of the corpus callosum and lateral ventricles. There is a small nodular focus of enhancement within the mass on the corresponding postcontrast T1-weighted image (B). 1H-MRS grid overlaid on the CBV map (C) demonstrating a voxel from the rCBVmax region (black). Corresponding spectrum (D) displaying various metabolite resonances. Note the presence of a reduced Cho/Cr ratio from rCBVmax voxel compared with that seen in Fig 1.
- Fig 3.
Box-and-whisker plots demonstrating the range of distribution of metabolite ratios from a voxel with rCBVmax in patients with 1p/19q LOH (shaded) and intact alleles (white). Boxes represent the median, the 25th percentile, and the 75th percentile. Outlying values are marked with open circles. Cho/Cr was significantly different between the 2 genotypes of oligodendrogliomas.
- Fig 4.
Receiver operating characteristic curves for Cho/Cr ratio measured from rCBVmax voxel exhibit an area under the receiver operating characteristic curve of 0.68 (broken line). The Cho/Cr ratio, together with the rCBVmax from the bivariate logistic regression analysis, shows an area under the receiver operating characteristic curve of 0.69 (dotted line). After incorporation of all of the metabolite ratios and rCBVmax value in the multivariate logistic regression model, the area under the receiver operating characteristic curve is 0.72 (solid line). The multivariate logistic regression analysis provided the best model to distinguish the 2 groups of oligodendrogliomas, with a sensitivity of 82.6% and a specificity of 64.7%. Leave-one-out cross-validation tests revealed that 70% of oligodendrogliomas were correctly classified.
