Genomic mapping and survival prediction in glioblastoma: molecular subclassification strengthened by hemodynamic imaging biomarkers.
about
High-grade glioma management and response assessment-recent advances and current challengesMultimodality Brain Tumor Imaging: MR Imaging, PET, and PET/MR ImagingTCIA: An information resource to enable open scienceA combinatorial radiographic phenotype may stratify patient survival and be associated with invasion and proliferation characteristics in glioblastomaOutcome prediction in patients with glioblastoma by using imaging, clinical, and genomic biomarkers: focus on the nonenhancing component of the tumor.Addition of MR imaging features and genetic biomarkers strengthens glioblastoma survival prediction in TCGA patientsPotential role of preoperative conventional MRI including diffusion measurements in assessing epidermal growth factor receptor gene amplification status in patients with glioblastomaRadiotherapy of high-grade gliomas: current standards and new concepts, innovations in imaging and radiotherapy, and new therapeutic approachesGlioblastoma multiforme: exploratory radiogenomic analysis by using quantitative image features.Radiogenomics and imaging phenotypes in glioblastoma: novel observations and correlation with molecular characteristics.Paradoxical perfusion metrics of high-grade gliomas with an oligodendroglioma component: quantitative analysis of dynamic susceptibility contrast perfusion MR imaging.Prognostic Imaging Biomarkers in Glioblastoma: Development and Independent Validation on the Basis of Multiregion and Quantitative Analysis of MR ImagesNCI Workshop Report: Clinical and Computational Requirements for Correlating Imaging Phenotypes with Genomics SignaturesNovel genotype-phenotype associations in human cancers enabled by advanced molecular platforms and computational analysis of whole slide images.Multicenter imaging outcomes study of The Cancer Genome Atlas glioblastoma patient cohort: imaging predictors of overall and progression-free survivalPhysiologic MRI for assessment of response to therapy and prognosis in glioblastoma.Identifying molecular genetic features and oncogenic pathways of clear cell renal cell carcinoma through the anatomical (PADUA) scoring systemImaging-genomics reveals driving pathways of MRI derived volumetric tumor phenotype features in GlioblastomaMR-guided radiation therapy: transformative technology and its role in the central nervous system.Advances in neuro-oncology imaging.An Update on the Approach to the Imaging of Brain Tumors.Impact of Software Modeling on the Accuracy of Perfusion MRI in Glioma.Pretreatment Dynamic Susceptibility Contrast MRI Perfusion in Glioblastoma: Prediction of EGFR Gene Amplification.Texture Feature Ratios from Relative CBV Maps of Perfusion MRI Are Associated with Patient Survival in Glioblastoma.Imaging patterns predict patient survival and molecular subtype in glioblastoma via machine learning techniques.Imaging genomics in cancer research: limitations and promisesEmerging biomarkers in glioblastomaRelationship Between Cytogenetic Complexity and Peritumoral Edema in High-Grade AstrocytomaAssessment of bevacizumab resistance increased by expression of BCAT1 in IDH1 wild-type glioblastoma: application of DSC perfusion MR imaging.Molecular differences between cerebral blood volume and vessel size in glioblastoma multiforme.Amino acid PET and MR perfusion imaging in brain tumours.DCE-MRI prediction of survival time for patients with glioblastoma multiforme: using an adaptive neuro-fuzzy-based model and nested model selection technique.Radiomic model for predicting mutations in the isocitrate dehydrogenase gene in glioblastomas.Quantitative Clinical Imaging Methods for Monitoring Intratumoral Evolution.Volume of high-risk intratumoral subregions at multi-parametric MR imaging predicts overall survival and complements molecular analysis of glioblastoma.Algorithmic three-dimensional analysis of tumor shape in MRI improves prognosis of survival in glioblastoma: a multi-institutional study.Mesoscopic imaging of glioblastomas: Are diffusion, perfusion and spectroscopic measures influenced by the radiogenetic phenotype?Clinical parameters outweigh diffusion- and perfusion-derived MRI parameters in predicting survival in newly diagnosed glioblastoma.Integrative Analysis of mRNA, microRNA, and Protein Correlates of Relative Cerebral Blood Volume Values in GBM Reveals the Role for Modulators of Angiogenesis and Tumor Proliferation.New prognostic factor telomerase reverse transcriptase promotor mutation presents without MR imaging biomarkers in primary glioblastoma.
P2860
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P2860
Genomic mapping and survival prediction in glioblastoma: molecular subclassification strengthened by hemodynamic imaging biomarkers.
description
2012 nî lūn-bûn
@nan
2012 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
Genomic mapping and survival p ...... emodynamic imaging biomarkers.
@ast
Genomic mapping and survival p ...... emodynamic imaging biomarkers.
@en
type
label
Genomic mapping and survival p ...... emodynamic imaging biomarkers.
@ast
Genomic mapping and survival p ...... emodynamic imaging biomarkers.
@en
prefLabel
Genomic mapping and survival p ...... emodynamic imaging biomarkers.
@ast
Genomic mapping and survival p ...... emodynamic imaging biomarkers.
@en
P2093
P2860
P50
P356
P1433
P1476
Genomic mapping and survival p ...... emodynamic imaging biomarkers.
@en
P2093
Carl Jaffe
Chad Holder
Daniel J Brat
David Gutman
Jayant Narang
John Freymann
Justin Kirby
Laila Poisson
Lisa Scarpace
Rivka R Colen
P2860
P304
P356
10.1148/RADIOL.12120846
P407
P577
2012-12-13T00:00:00Z