| Title | Tumor Habitat-derived Radiomic Features at Pretreatment MRI That Are Prognostic for Progression-free Survival in Glioblastoma Are Associated with Key Morphologic Attributes at Histopathologic Examination: A Feasibility Study. |
| Publication Type | Journal Article |
| Year of Publication | 2020 |
| Authors | Verma, R, Correa R, Hill VB, Statsevych V, Bera K, Beig N, Mahammedi A, Madabhushi A, Ahluwalia M, Tiwari P |
| Journal | Radiology. Artificial intelligence |
| Volume | 2 |
| Issue | 6 |
| Pagination | e190168 |
| Date Published | 2020 Nov |
| ISSN | 2638-6100 |
| Abstract | To identify radiomic features extracted from the tumor habitat on routine MR images that are prognostic for progression-free survival (PFS) and to assess their morphologic basis with corresponding histopathologic attributes in glioblastoma (GBM). |
| DOI | 10.1148/ryai.2020190168 |
| PDF Link | |
| Alternate Journal | Radiol Artif Intell |
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