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Multicenter study demonstrates radiomic features derived from magnetic resonance perfusion images identify pseudoprogression in glioblastoma
- Source :
- Nature Communications, Vol 10, Iss 1, Pp 1-9 (2019)
- Publication Year :
- 2019
- Publisher :
- Nature Portfolio, 2019.
-
Abstract
- MRI scans of glioblastoma patients can be misleading and some patients appear to show features of progressive disease although they respond to treatment. Here, the authors use MRI images of progressive disease or pseudoprogression and build a classifier using machine learning to distinguish the two.
- Subjects :
- Science
Subjects
Details
- Language :
- English
- ISSN :
- 20411723
- Volume :
- 10
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- Nature Communications
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.0f699f411a7a415ba931b96a4f10beda
- Document Type :
- article
- Full Text :
- https://doi.org/10.1038/s41467-019-11007-0