Multiparametric Radiogenomic Model to Predict Survival in Patients with Glioblastoma

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...

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Bibliographic Details
Main Authors: Keon Mahmoudi, Daniel H. Kim, Elham Tavakkol, Shingo Kihira, Adam Bauer, Nadejda Tsankova, Fahad Khan, Adilia Hormigo, Vivek Yedavalli, Kambiz Nael
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Cancers
Subjects:
multiparametric
radiogenomics
texture analysis
glioma
tumor segmentation
MRI
Online Access:https://www.mdpi.com/2072-6694/16/3/589

Internet

https://www.mdpi.com/2072-6694/16/3/589

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