Examples of FLAIR segmentations and regional, segmentation-based subtractions.

<p>Axial FLAIR slices of the baseline MRI (a, d) and the follow-up MRI (b, c, e, f) of a patient with GB are shown. Segmentation of baseline FV (a, green), follow-up FV (b, blue) and an overlay image of both segmentations (c) is presented. Baseline FLAIR image (d) and follow-up FLAIR image (e) are displayed without segmentations. The regional, segmentation-based subtraction of FV (sFV) is also shown (f, red).</p

Results of the GLMM for dichotomized MC (‘disease progression’: Yes / No) and the following input variables: DCV, dFV, sCV and sFV.

<p>Results of the GLMM for dichotomized MC (‘disease progression’: Yes / No) and the following input variables: DCV, dFV, sCV and sFV.</p

Examples of contrast-enhanced MPRage segmentations and regional, segmentation-based subtractions.

<p>Axial MPRage slices of the baseline MRI (a, d) and the follow-up MRI (b, c, e, f) of a patient with GB are shown. Segmentation of baseline CV (a, red), follow-up CV (b, purple) and an overlay image of both segmentations (c) is presented. Baseline MPRage image (d) and follow-up MPRage image (e) are displayed without segmentations. The regional, segmentation-based subtraction of CV (sCV) is also shown (f, yellow).</p

ROC-curves for volumetric determinants.

<p>Five-fold cross-validated (CV) ROC-curves for either changes in absolute volume (delta) or regional volume subtractions (sub) for the prediction of disease progression.</p