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Disease Markers
Volume 2018, Article ID 2908609, 11 pages
https://doi.org/10.1155/2018/2908609
Review Article

Noninvasive Glioblastoma Testing: Multimodal Approach to Monitoring and Predicting Treatment Response

1Department of Medical Oncology, School for Oncology and Developmental Biology (GROW), Maastricht University Medical Centre+, P.O. Box 5800, 6202 AZ Maastricht, Netherlands
2Department of Radiotherapy (MAASTRO), School for Oncology and Developmental Biology (GROW), Maastricht University Medical Center+, Universiteitssingel 50, 6229 ER Maastricht, Netherlands
3Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+, P.O. Box 5800, 6202 AZ Maastricht, Netherlands
4Proton Therapy Department South-East Netherlands (ZON-PTC), Maastricht University Medical Center+, P.O. Box 5800, 6202 AZ Maastricht, Netherlands
5Department of Neurology, Maastricht University Medical Center+, P.O. Box 5800, 6202 AZ Maastricht, Netherlands
6Department of Neurosurgery, Maastricht University Medical Center+, P.O. Box 5800, 6202 AZ Maastricht, Netherlands
7Department of Neurosurgery, Radboud University Medical Center, 6500 HB Nijmegen, Netherlands
8The-D-Lab: Decision Support for Precision Medicine, School for Oncology and Developmental Biology (GROW), Maastricht University Medical Centre+, Universiteitssingel 40, 6229 ER Maastricht, Netherlands

Correspondence should be addressed to Maikel Verduin; ln.cmum@niudrev.lekiam

Received 24 August 2017; Accepted 20 November 2017; Published 17 January 2018

Academic Editor: Maurizio Callari

Copyright © 2018 Maikel Verduin et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Maikel Verduin, Inge Compter, Danny Steijvers, et al., “Noninvasive Glioblastoma Testing: Multimodal Approach to Monitoring and Predicting Treatment Response,” Disease Markers, vol. 2018, Article ID 2908609, 11 pages, 2018. https://doi.org/10.1155/2018/2908609.