Multimodal MRI features predict isocitrate dehydrogenase genotype in high-grade gliomas. - Wikidata - wikimedia - TriplyDB

Multimodal MRI features predict isocitrate dehydrogenase genotype in high-grade gliomas.

Multimodal MRI features predict isocitrate dehydrogenase genotype in high-grade gliomas.

http://www.wikidata.org/entity/Q39647863

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Radiogenomic Analysis of Oncological Data: A Technical Survey.An Update on the Approach to the Imaging of Brain Tumors.MRI features predict survival and molecular markers in diffuse lower-grade gliomas.Textural features of dynamic contrast-enhanced MRI derived model-free and model-based parameter maps in glioma grading.Covalent nano delivery systems for selective imaging and treatment of brain tumors.Natural and Artificial Intelligence in Neurosurgery: A Systematic Review.Tumor image-derived texture features are associated with CD3 T-cell infiltration status in glioblastoma.Radiogenomic analysis of hypoxia pathway is predictive of overall survival in Glioblastoma.Residual Convolutional Neural Network for Determination of IDH Status in Low- and High-grade Gliomas from MR Imaging.MRI radiomics analysis of molecular alterations in low-grade gliomas.Radiomic features predict Ki-67 expression level and survival in lower grade gliomas.Predicting IDH mutation status in grade II gliomas using amide proton transfer-weighted (APTw) MRI.Non-invasive tumor genotyping using radiogenomic biomarkers, a systematic review and oncology-wide pathway analysis.Imaging in neuro-oncology.Predicting IDH genotype in gliomas using FET PET radiomics Lesion location implemented magnetic resonance imaging radiomics for predicting IDH and TERT promoter mutations in grade II/III gliomas

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P2860

Multimodal MRI features predict isocitrate dehydrogenase genotype in high-grade gliomas.

http://www.wikidata.org/entity/Q39647863

description

2016 nî lūn-bûn

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2016年の論文

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2016年論文

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2016年論文

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2016年論文

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2016年論文

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2016年論文

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2016年论文

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2016年论文

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2016年论文

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name

Multimodal MRI features predict isocitrate dehydrogenase genotype in high-grade gliomas.

@en

Multimodal MRI features predict isocitrate dehydrogenase genotype in high-grade gliomas.

@nl

type

label

Multimodal MRI features predict isocitrate dehydrogenase genotype in high-grade gliomas.

@en

Multimodal MRI features predict isocitrate dehydrogenase genotype in high-grade gliomas.

@nl

prefLabel

Multimodal MRI features predict isocitrate dehydrogenase genotype in high-grade gliomas.

@en

Multimodal MRI features predict isocitrate dehydrogenase genotype in high-grade gliomas.

@nl

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Multimodal MRI features predict isocitrate dehydrogenase genotype in high-grade gliomas.

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Biqi Zhang

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Brian M Alexander

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Keith L Ligon

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Ken Chang

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Patrick Y Wen

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Raymond Y Huang

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Shakti Ramkissoon

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Shyam Tanguturi

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Wenya Linda Bi

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P2860

An integrated genomic analysis of human glioblastoma multiforme

IDH1 and IDH2 mutations in gliomas

Improving tumour heterogeneity MRI assessment with histograms.

Somatic mutations associated with MRI-derived volumetric features in glioblastoma

CBTRUS Statistical Report: Primary Brain and Central Nervous System Tumors Diagnosed in the United States in 2008-2012.

High-throughput detection of actionable genomic alterations in clinical tumor samples by targeted, massively parallel sequencing

Radiogenomics and imaging phenotypes in glioblastoma: novel observations and correlation with molecular characteristics.

Classification of brain tumor type and grade using MRI texture and shape in a machine learning scheme.

Integrated molecular genetic profiling of pediatric high-grade gliomas reveals key differences with the adult disease

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10.1093/NEUONC/NOW121

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1

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19

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David A Reardon

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27353503

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5193019

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