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Prediction of Prognosis in Glioblastoma Using Radiomics Features of Dynamic Contrast-Enhanced MRI.
- Source :
-
Korean journal of radiology [Korean J Radiol] 2021 Sep; Vol. 22 (9), pp. 1514-1524. Date of Electronic Publication: 2021 Jul 14. - Publication Year :
- 2021
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Abstract
- Objective: To develop a radiomics risk score based on dynamic contrast-enhanced (DCE) MRI for prognosis prediction in patients with glioblastoma.<br />Materials and Methods: One hundred and fifty patients (92 male [61.3%]; mean age ± standard deviation, 60.5 ± 13.5 years) with glioblastoma who underwent preoperative MRI were enrolled in the study. Six hundred and forty-two radiomic features were extracted from volume transfer constant (K <superscript>trans</superscript> ), fractional volume of vascular plasma space (V <subscript>p</subscript> ), and fractional volume of extravascular extracellular space (V <subscript>e</subscript> ) maps of DCE MRI, wherein the regions of interest were based on both T1-weighted contrast-enhancing areas and non-enhancing T2 hyperintense areas. Using feature selection algorithms, salient radiomic features were selected from the 642 features. Next, a radiomics risk score was developed using a weighted combination of the selected features in the discovery set (n = 105); the risk score was validated in the validation set (n = 45) by investigating the difference in prognosis between the "radiomics risk score" groups. Finally, multivariable Cox regression analysis for progression-free survival was performed using the radiomics risk score and clinical variables as covariates.<br />Results: 16 radiomic features obtained from non-enhancing T2 hyperintense areas were selected among the 642 features identified. The radiomics risk score was used to stratify high- and low-risk groups in both the discovery and validation sets (both p < 0.001 by the log-rank test). The radiomics risk score and presence of isocitrate dehydrogenase (IDH) mutation showed independent associations with progression-free survival in opposite directions (hazard ratio, 3.56; p = 0.004 and hazard ratio, 0.34; p = 0.022, respectively).<br />Conclusion: We developed and validated the "radiomics risk score" from the features of DCE MRI based on non-enhancing T2 hyperintense areas for risk stratification of patients with glioblastoma. It was associated with progression-free survival independently of IDH mutation status.<br />Competing Interests: The authors have no potential conflicts of interest to disclose.<br /> (Copyright © 2021 The Korean Society of Radiology.)
Details
- Language :
- English
- ISSN :
- 2005-8330
- Volume :
- 22
- Issue :
- 9
- Database :
- MEDLINE
- Journal :
- Korean journal of radiology
- Publication Type :
- Academic Journal
- Accession number :
- 34269536
- Full Text :
- https://doi.org/10.3348/kjr.2020.1433