Cargando…
The Effect of Heterogenous Subregions in Glioblastomas on Survival Stratification: A Radiomics Analysis Using the Multimodality MRI
Intratumor heterogeneity is partly responsible for the poor prognosis of glioblastoma (GBM) patients. In this study, we aimed to assess the effect of different heterogeneous subregions of GBM on overall survival (OS) stratification. A total of 105 GBM patients were retrospectively enrolled and divid...
Autores principales: | Yin, Lulu, Liu, Yan, Zhang, Xi, Lu, Hongbing, Liu, Yang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8323415/ https://www.ncbi.nlm.nih.gov/pubmed/34318731 http://dx.doi.org/10.1177/15330338211033059 |
Ejemplares similares
-
An Improvement of Survival Stratification in Glioblastoma Patients via Combining Subregional Radiomics Signatures
por: Yang, Yang, et al.
Publicado: (2021) -
The progress of multimodal imaging combination and subregion based radiomics research of cancers
por: Zhang, Luyuan, et al.
Publicado: (2022) -
A Multiparametric MRI-Based Radiomics Nomogram for Preoperative Prediction of Survival Stratification in Glioblastoma Patients With Standard Treatment
por: Jia, Xin, et al.
Publicado: (2022) -
A Multiparametric MRI-Based Radiomics Analysis to Efficiently Classify Tumor Subregions of Glioblastoma: A Pilot Study in Machine Learning
por: Chiu, Fang-Ying, et al.
Publicado: (2021) -
Synthetic MRI improves radiomics‐based glioblastoma survival prediction
por: Moya‐Sáez, Elisa, et al.
Publicado: (2022)