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Image-based personalization of computational models for predicting response of high-grade glioma to chemoradiation
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 used to cal...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8055874/ https://www.ncbi.nlm.nih.gov/pubmed/33875739 http://dx.doi.org/10.1038/s41598-021-87887-4 |