Image-based personalization of computational models for predicting response of high-grade glioma to chemoradiation
Abstract High-grade gliomas are an aggressive and invasive malignancy which are susceptible to treatment resistance due to heterogeneity in intratumoral properties such as cell proliferation and density and perfusion. Non-invasive imaging approaches can measure these properties, which can then be us...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2021-04-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-021-87887-4 |