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| This collection contains 406 Region Of Interest (ROI) masks in MATLAB | |
| format defining the low grade glioma (LGG) tumor region on T1-weighted | |
| (T1W), T2-weighted (T2W), T1-weighted post-contrast (T1CE) and | |
| T2-flair (T2F) MR images of 108 different patients from the TCGA-LGG | |
| collection. 81 of the patients have ROI masks drawn for the four MRI | |
| sequences (T1W, T2W, T1CE and T2F), and 27 patients have ROI masks | |
| drawn for three or less of the four MRI sequences. The ROI masks were | |
| used to extract texture features in order to develop radiomic-based | |
| multivariable models for the prediction of isocitrate dehydrogenase 1 | |
| (IDH1) mutation, 1p/19q codeletion status, histological grade and | |
| tumor progression. Clinical data (188 patients in total from the | |
| TCGA-LGG collection, some incomplete depending on the clinical | |
| attribute), VASARI scores (188 patients in total from the TCGA-LGG | |
| collection, 178 complete) with feature keys, and source code used in | |
| this study are also available with this collection. | |