Low perfusion compartments in glioblastoma quantified by advanced magnetic resonance imaging and correlated with patient survival
Open Access
- 1 May 2019
- journal article
- research article
- Published by Elsevier in Radiotherapy and Oncology
- Vol. 134, 17-24
Abstract
No abstract availableKeywords
All Related Versions
Funding Information
- National Institute for Health and Care Research (NIHR/CS/009/011)
- Chang Gung Medical Foundation
- Cancer Research UK (C197/A16465)
- Cancer Research UK (C14303/A17197)
- Cancer Research UK (A19274)
- China Scholarship Council
- NIHR Cambridge Biomedical Research Centre
- University of Cambridge
- Engineering and Physical Sciences Research Council
- Chang Gung Memorial Hospital
- Department of Health and Social Care
- Gates Cambridge Trust
This publication has 36 references indexed in Scilit:
- The Correlation between Apparent Diffusion Coefficient and Tumor Cellularity in Patients: A Meta-AnalysisPLOS ONE, 2013
- Intratumor heterogeneity in human glioblastoma reflects cancer evolutionary dynamicsProceedings of the National Academy of Sciences, 2013
- Application of Novel Response/Progression Measures for Surgically Delivered Therapies for GliomasNeurosurgery, 2012
- Hallmarks of Cancer: The Next GenerationCell, 2011
- Updated Response Assessment Criteria for High-Grade Gliomas: Response Assessment in Neuro-Oncology Working GroupJournal of Clinical Oncology, 2010
- Intratumoral Hypoxic Gradient Drives Stem Cells Distribution and MGMT Expression in GlioblastomaStem Cells, 2010
- Integrated Genomic Analysis Identifies Clinically Relevant Subtypes of Glioblastoma Characterized by Abnormalities in PDGFRA, IDH1, EGFR, and NF1Cancer Cell, 2010
- Evaluation of MR markers that predict survival in patients with newly diagnosed GBM prior to adjuvant therapyJournal of Neuro-Oncology, 2008
- Quantitative imaging biomarkers in the clinical development of targeted therapeutics: current and future perspectivesThe Lancet Oncology, 2008
- Radiotherapy plus Concomitant and Adjuvant Temozolomide for GlioblastomaNew England Journal of Medicine, 2005