Radiomics features to distinguish glioblastoma from primary central nervous system lymphoma on multi-parametric MRI.
Purpose: To determine the feasibility of using high dimensional computer-extracted features, known as radiomics features, in differentiating primary central nervous system lymphoma (PCNSL) from glioblastoma on multi-parametric MR imaging including diffusion-weighted imaging.Methods: Retrospective ev...
| Published in: | Neuroradiology Vol. 60; no. 12; pp. 1297 - 1306 |
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| Main Authors: | , , , , , |
| Format: | diagnostic images research tables/charts Journal Article |
| Published: |
Springer Nature
Dec2018
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| Online Access: | View this record in EBSCOhost |