HUSCAP logo Hokkaido Univ. logo

Hokkaido University Collection of Scholarly and Academic Papers >
Global Institution for Collaborative Research and Education : GI-CoRE >
Peer-reviewed Journal Articles, etc >

Volume of high-risk intratumoral subregions at multi-parametric MR imaging predicts overall survival and complements molecular analysis of glioblastoma

Files in This Item:
EU_RADIO_CUI.pdf931.61 kBPDFView/Open
Please use this identifier to cite or link to this item:

Title: Volume of high-risk intratumoral subregions at multi-parametric MR imaging predicts overall survival and complements molecular analysis of glioblastoma
Authors: Cui, Yi Browse this author
Ren, Shangjie Browse this author
Tha, Khin Khin Browse this author →KAKEN DB
Wu, Jia Browse this author
Shirato, Hiroki Browse this author →KAKEN DB
Li, Ruijiang Browse this author
Keywords: Multi-parametric MRI
Glioblastoma multiforme
High-risk tumour volume
Overall survival
Issue Date: Sep-2017
Publisher: Springer
Journal Title: European Radiology
Volume: 27
Issue: 9
Start Page: 3583
End Page: 3592
Publisher DOI: 10.1007/s00330-017-4751-x
PMID: 28168370
Abstract: Objective: To develop and validate a volume-based, quantitative imaging marker by integrating multi-parametric MR images for predicting glioblastoma survival, and to investigate its relationship and synergy with molecular characteristics. Methods: We retrospectively analysed 108 patients with primary glioblastoma. The discovery cohort consisted of 62 patients from the cancer genome atlas (TCGA). Another 46 patients comprising 30 from TCGA and 16 internally were used for independent validation. Based on integrated analyses of T1-weighted contrast-enhanced (T1-c) and diffusion-weighted MR images, we identified an intratumoral subregion with both high T1-c and low ADC, and accordingly defined a high-risk volume (HRV). We evaluated its prognostic value and biological significance with genomic data. Results: On both discovery and validation cohorts, HRV predicted overall survival (OS) (concordance index: 0.642 and 0.653, P<0.001 and P=0.038, respectively). HRV stratified patients within the proneural molecular subtype (log-rank P=0.040, hazard ratio=2.787). We observed different OS among patients depending on their MGMT methylation status and HRV (log-rank P=0.011). Patients with unmethylated MGMT and high HRV had significantly shorter survival (median survival: 9.3 vs. 18.4 months, log-rank P=0.002). Conclusion: Volume of the high-risk intratumoral subregion identified on multi-parametric MRI predicts glioblastoma survival, and may provide complementary value to genomic information.
Rights: This is a post-peer-review, pre-copyedit version of an article published in European radiology. The final authenticated version is available online at:
Type: article (author version)
Appears in Collections:国際連携研究教育局 : GI-CoRE (Global Institution for Collaborative Research and Education : GI-CoRE) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: Yi Cui

Export metadata:

OAI-PMH ( junii2 , jpcoar_1.0 )

MathJax is now OFF:


 - Hokkaido University