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...

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Bibliographic Details
Published in:Technology in cancer research & treatment 2021, Vol.20, p.15330338211033059-15330338211033059
Main Authors: Yin, Lulu, Liu, Yan, Zhang, Xi, Lu, Hongbing, Liu, Yang
Format: Article
Language:English
Subjects:
Adolescent
Adult
Aged
Aged, 80 and over
Biomarkers
Databases, Factual
Edema
Female
Glioblastoma
Glioblastoma - diagnosis
Glioblastoma - mortality
Humans
Image Interpretation, Computer-Assisted - methods
Magnetic resonance imaging
Magnetic Resonance Imaging - methods
Male
Medical prognosis
Middle Aged
Multimodal Imaging
Original
Prognosis
Radiomics
Reproducibility of Results
Survival
Tumors
Young Adult
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Summary: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 divided into long-term and short-term OS groups. Four MRI sequences, including contrast-enhanced T1-weighted imaging (T1C), T1, T2, and FLAIR, were collected for each patient. Then, 4 heterogeneous subregions, i.e. the region of entire abnormality (rEA), the regions of contrast-enhanced tumor (rCET), necrosis (rNec) and edema/non-contrast-enhanced tumor (rE/nCET), were manually drawn from the 4 MRI sequences. For each subregion, 50 radiomics features were extracted. The stratification performance of 4 heterogeneous subregions, as well as the performances of 4 MRI sequences, was evaluated both alone and in combination. Our results showed that rEA was superior in stratifying long-and short-term OS. For the 4 MRI sequences used in this study, the FLAIR sequence demonstrated the best performance of survival stratification based on the manual delineation of heterogeneous subregions. Our results suggest that heterogeneous subregions of GBMs contain different prognostic information, which should be considered when investigating survival stratification in patients with GBM.
ISSN:1533-0346
1533-0338
DOI:10.1177/15330338211033059