Arterial spin labeling perfusion-weighted imaging aids in prediction of molecular biomarkers and survival in glioblastomas
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S. Choi | C. Sohn | J. Won | Chul-Kee Park | T. Yun | Ji-hoon Kim | Roh-Eul Yoo | Koung Mi Kang | I. Hwang | E. K. Hong | R. Yoo
[1] David Gutman,et al. Genomic mapping and survival prediction in glioblastoma: molecular subclassification strengthened by hemodynamic imaging biomarkers. , 2013, Radiology.
[2] D. Busam,et al. An Integrated Genomic Analysis of Human Glioblastoma Multiforme , 2008, Science.
[3] K. Yamashita,et al. MR Imaging–Based Analysis of Glioblastoma Multiforme: Estimation of IDH1 Mutation Status , 2016, American Journal of Neuroradiology.
[4] Scar,et al. Inactivation of the DNA-repair gene MGMT and the clinical response of gliomas to alkylating agents. , 2000, The New England journal of medicine.
[5] S. Gabriel,et al. Integrated genomic analysis identifies clinically relevant subtypes of glioblastoma characterized by abnormalities in PDGFRA, IDH1, EGFR, and NF1. , 2010, Cancer cell.
[6] H. Urbach,et al. Molecular differences between cerebral blood volume and vessel size in glioblastoma multiforme , 2016, Oncotarget.
[7] D. S. Williams,et al. Magnetic resonance imaging of perfusion using spin inversion of arterial water. , 1992, Proceedings of the National Academy of Sciences of the United States of America.
[8] F. Ducray,et al. IDH1 and IDH2 mutations in gliomas. , 2009, The New England journal of medicine.
[9] Raul Rabadan,et al. The integrated landscape of driver genomic alterations in glioblastoma , 2013, Nature Genetics.
[10] P. Kleihues,et al. Topographic anatomy and CT correlations in the untreated glioblastoma multiforme. , 1988, Journal of neurosurgery.
[11] Susan M. Chang,et al. Updated response assessment criteria for high-grade gliomas: response assessment in neuro-oncology working group. , 2010, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[12] Mitchel S Berger,et al. Prognostic significance of intracranial dissemination of glioblastoma multiforme in adults. , 2005, Journal of neurosurgery.
[13] Joshua M. Korn,et al. Comprehensive genomic characterization defines human glioblastoma genes and core pathways , 2008, Nature.
[14] A. Gupta,et al. Pretreatment Dynamic Susceptibility Contrast MRI Perfusion in Glioblastoma: Prediction of EGFR Gene Amplification , 2015, Clinical Neuroradiology.
[15] David T. W. Jones,et al. IDH1 mutations are present in the majority of common adult gliomas but rare in primary glioblastomas. , 2009, Neuro-oncology.
[16] A. Sahgal,et al. Glioblastoma: Patterns of Recurrence and Efficacy of Salvage Treatments , 2011, Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques.
[17] Kjell Johnson,et al. Evaluating Methods for Classifying Expression Data , 2004, Journal of biopharmaceutical statistics.
[18] Chul-Kee Park,et al. IDH1 mutation of gliomas with long-term survival analysis. , 2012, Oncology reports.
[19] S. Heiland,et al. IDH mutation status is associated with a distinct hypoxia/angiogenesis transcriptome signature which is non-invasively predictable with rCBV imaging in human glioma , 2015, Scientific Reports.
[20] Keith Paulsen,et al. Genetics of glioblastoma: a window into its imaging and histopathologic variability. , 2011, Radiographics : a review publication of the Radiological Society of North America, Inc.
[21] Tae Min Kim,et al. Radiogenomics correlation between MR imaging features and major genetic profiles in glioblastoma , 2018, European Radiology.
[22] Hye Rim Cho,et al. Tumor blood flow from arterial spin labeling perfusion MRI: A key parameter in distinguishing high‐grade gliomas from primary cerebral lymphomas, and in predicting genetic biomarkers in high‐grade gliomas , 2013, Journal of magnetic resonance imaging : JMRI.
[23] Scott N. Hwang,et al. Outcome prediction in patients with glioblastoma by using imaging, clinical, and genomic biomarkers: focus on the nonenhancing component of the tumor. , 2014, Radiology.
[24] J. Christensen,et al. MGMT modulates glioblastoma angiogenesis and response to the tyrosine kinase inhibitor sunitinib. , 2010, Neuro-oncology.
[25] S. Puget,et al. IDH1 and IDH2 mutations in gliomas. , 2009, The New England journal of medicine.
[26] Chris Rorden,et al. A novel tool to analyze MRI recurrence patterns in glioblastoma. , 2008, Neuro-oncology.
[27] Donald S. Williams,et al. Perfusion imaging , 1992, Magnetic resonance in medicine.
[28] T. Cloughesy,et al. Arterial Spin-Labeling Perfusion MRI Stratifies Progression-Free Survival and Correlates with Epidermal Growth Factor Receptor Status in Glioblastoma , 2015, American Journal of Neuroradiology.
[29] Douglas C. Miller,et al. Gliomas: predicting time to progression or survival with cerebral blood volume measurements at dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging. , 2008, Radiology.
[30] R. Mirimanoff,et al. MGMT gene silencing and benefit from temozolomide in glioblastoma. , 2005, The New England journal of medicine.
[31] C. Zimmer,et al. Quantification of blood flow in brain tumors: comparison of arterial spin labeling and dynamic susceptibility-weighted contrast-enhanced MR imaging. , 2003, Radiology.
[32] R. McLendon,et al. IDH1 and IDH2 mutations in gliomas. , 2009, The New England journal of medicine.
[33] S. Choi,et al. Cerebral Blood Volume Calculated by Dynamic Susceptibility Contrast-Enhanced Perfusion MR Imaging: Preliminary Correlation Study with Glioblastoma Genetic Profiles , 2013, PloS one.