Multiparametric Radiogenomic Model to Predict Survival in Patients with Glioblastoma
Background: Clinical, histopathological, and imaging variables have been associated with prognosis in patients with glioblastoma (GBM). We aimed to develop a multiparametric radiogenomic model incorporating MRI texture features, demographic data, and histopathological tumor biomarkers to predict pro...
Main Authors: | Keon Mahmoudi, Daniel H. Kim, Elham Tavakkol, Shingo Kihira, Adam Bauer, Nadejda Tsankova, Fahad Khan, Adilia Hormigo, Vivek Yedavalli, Kambiz Nael |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-01-01
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Series: | Cancers |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-6694/16/3/589 |
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