A fully automated artificial intelligence method for non-invasive, imaging-based identification of genetic alterations in glioblastomas
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Title
A fully automated artificial intelligence method for non-invasive, imaging-based identification of genetic alterations in glioblastomas
Authors
Keywords
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Journal
Scientific Reports
Volume 10, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-07-16
DOI
10.1038/s41598-020-68857-8
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- (2019) Yu Sun et al. EBioMedicine
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- (2018) Chia-Feng Lu et al. CLINICAL CANCER RESEARCH
- Genotype prediction of ATRX mutation in lower-grade gliomas using an MRI radiomics signature
- (2018) Yiming Li et al. EUROPEAN RADIOLOGY
- Radiomics Strategy for Molecular Subtype Stratification of Lower-Grade Glioma: Detecting IDH and TP53 Mutations Based on Multimodal MRI
- (2018) Xi Zhang et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Non-invasive genotype prediction of chromosome 1p/19q co-deletion by development and validation of an MRI-based radiomics signature in lower-grade gliomas
- (2018) Yuqi Han et al. JOURNAL OF NEURO-ONCOLOGY
- ACTR-45. PHASE 0/2 STUDY OF RIBOCICLIB IN PATIENTS WITH RECURRENT GLIOBLASTOMA
- (2018) An-Chi Tien et al. NEURO-ONCOLOGY
- Predicting Deletion of Chromosomal Arms 1p/19q in Low-Grade Gliomas from MR Images Using Machine Intelligence
- (2017) Zeynettin Akkus et al. JOURNAL OF DIGITAL IMAGING
- Radiomic model for predicting mutations in the isocitrate dehydrogenase gene in glioblastomas
- (2017) Kevin Li-Chun Hsieh et al. Oncotarget
- Ror2 signaling regulates Golgi structure and transport through IFT20 for tumor invasiveness
- (2017) Michiru Nishita et al. Scientific Reports
- IDH mutation and MGMT promoter methylation are associated with the pseudoprogression and improved prognosis of glioblastoma multiforme patients who have undergone concurrent and adjuvant temozolomide-based chemoradiotherapy
- (2016) Hailong Li et al. CLINICAL NEUROLOGY AND NEUROSURGERY
- MRI texture features as biomarkers to predict MGMT methylation status in glioblastomas
- (2016) Panagiotis Korfiatis et al. MEDICAL PHYSICS
- Multimodal MRI features predict isocitrate dehydrogenase genotype in high-grade gliomas
- (2016) Biqi Zhang et al. NEURO-ONCOLOGY
- Radiogenomics of Glioblastoma: Machine Learning–based Classification of Molecular Characteristics by Using Multiparametric and Multiregional MR Imaging Features
- (2016) Philipp Kickingereder et al. RADIOLOGY
- MR Imaging–Based Analysis of Glioblastoma Multiforme: Estimation ofIDH1Mutation Status
- (2015) K. Yamashita et al. AMERICAN JOURNAL OF NEURORADIOLOGY
- Molecular and Genomic Alterations in Glioblastoma Multiforme
- (2015) Ines Crespo et al. AMERICAN JOURNAL OF PATHOLOGY
- The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
- (2015) Bjoern H. Menze et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Somatic mutations associated with MRI-derived volumetric features in glioblastoma
- (2015) David A. Gutman et al. NEURORADIOLOGY
- Magnetic resonance image features identify glioblastoma phenotypic subtypes with distinct molecular pathway activities
- (2015) Haruka Itakura et al. Science Translational Medicine
- IDH mutation and MGMT promoter methylation in glioblastoma: results of a prospective registry
- (2015) Pei Yang et al. Oncotarget
- Radiogenomics and Imaging Phenotypes in Glioblastoma: Novel Observations and Correlation with Molecular Characteristics
- (2014) Benjamin M. Ellingson Current Neurology and Neuroscience Reports
- A fully automatic extraction of magnetic resonance image features in glioblastoma patients
- (2014) Jing Zhang et al. MEDICAL PHYSICS
- Glioblastoma Multiforme: Exploratory Radiogenomic Analysis by Using Quantitative Image Features
- (2014) Olivier Gevaert et al. RADIOLOGY
- IDH1 and IDH2 Mutations in Gliomas
- (2013) Adam L. Cohen et al. Current Neurology and Neuroscience Reports
- IDH1 mutant malignant astrocytomas are more amenable to surgical resection and have a survival benefit associated with maximal surgical resection
- (2013) Jason Beiko et al. NEURO-ONCOLOGY
- MR Imaging Predictors of Molecular Profile and Survival: Multi-institutional Study of the TCGA Glioblastoma Data Set
- (2013) David A. Gutman et al. RADIOLOGY
- Relationship between Tumor Enhancement, Edema,IDH1Mutational Status,MGMTPromoter Methylation, and Survival in Glioblastoma
- (2012) J.A. Carrillo et al. AMERICAN JOURNAL OF NEURORADIOLOGY
- Individualized Targeted Therapy for Glioblastoma
- (2012) Michael Weller et al. CANCER JOURNAL
- Genetics of adult glioma
- (2012) McKinsey L. Goodenberger et al. Cancer Genetics
- IDH mutations predict longer survival and response to temozolomide in secondary glioblastoma
- (2011) Qi SongTao et al. CANCER SCIENCE
- Detailed Characterization of Alterations of Chromosomes 7, 9, and 10 in Glioblastomas as Assessed by Single-Nucleotide Polymorphism Arrays
- (2011) Inês Crespo et al. JOURNAL OF MOLECULAR DIAGNOSTICS
- FSL
- (2011) Mark Jenkinson et al. NEUROIMAGE
- Prognostic significance of IDH-1 and MGMT in patients with glioblastoma: One step forward, and one step back?
- (2011) Stephanie E Combs et al. Radiation Oncology
- Patients with IDH1 wild type anaplastic astrocytomas exhibit worse prognosis than IDH1-mutated glioblastomas, and IDH1 mutation status accounts for the unfavorable prognostic effect of higher age: implications for classification of gliomas
- (2010) Christian Hartmann et al. ACTA NEUROPATHOLOGICA
- A reproducible evaluation of ANTs similarity metric performance in brain image registration
- (2010) Brian B. Avants et al. NEUROIMAGE
- IDH1 or IDH2 mutations predict longer survival and response to temozolomide in low-grade gliomas
- (2010) C. Houillier et al. NEUROLOGY
- An analysis of image texture, tumor location, and MGMT promoter methylation in glioblastoma using magnetic resonance imaging
- (2009) Sylvia Drabycz et al. NEUROIMAGE
- IDH1andIDH2Mutations in Gliomas
- (2009) Hai Yan et al. NEW ENGLAND JOURNAL OF MEDICINE
- Radiotherapy in Russia: a redundant method
- (2008) Sergei V Jargin LANCET ONCOLOGY
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