MRI features predict survival and molecular markers in diffuse lower-grade gliomas. - Wikidata - awgldk - TriplyDB

MRI features predict survival and molecular markers in diffuse lower-grade gliomas.

MRI features predict survival and molecular markers in diffuse lower-grade gliomas.

http://www.wikidata.org/entity/Q38438803

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Multiple-response regression analysis links magnetic resonance imaging features to de-regulated protein expression and pathway activity in lower grade glioma.MRI Texture Analysis Reflects Histopathology Parameters in Thyroid Cancer - A First Preliminary Study.Residual Convolutional Neural Network for Determination of IDH Status in Low- and High-grade Gliomas from MR Imaging.Diagnostic Accuracy of Amino Acid and FDG-PET in Differentiating Brain Metastasis Recurrence from Radionecrosis after Radiotherapy: A Systematic Review and Meta-Analysis.MRI radiomics analysis of molecular alterations in low-grade gliomas.Prediction of IDH1-Mutation and 1p/19q-Codeletion Status Using Preoperative MR Imaging Phenotypes in Lower Grade Gliomas.Diffusion radiomics as a diagnostic model for atypical manifestation of primary central nervous system lymphoma: development and multicenter external validation.MRI features predict p53 status in lower-grade gliomas via a machine-learning approach.Radiomics as a Quantitative Imaging Biomarker: Practical Considerations and the Current Standpoint in Neuro-oncologic Studies.Imaging in neuro-oncology.A Visually Interpretable, Dictionary-Based Approach to Imaging-Genomic Modeling, With Low-Grade Glioma as a Case Study Molecular profiles of tumor contrast enhancement: A radiogenomic analysis in anaplastic gliomas Lesion location implemented magnetic resonance imaging radiomics for predicting IDH and TERT promoter mutations in grade II/III gliomas

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MRI features predict survival and molecular markers in diffuse lower-grade gliomas.

http://www.wikidata.org/entity/Q38438803

description

2017 nî lūn-bûn

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2017年の論文

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2017年論文

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2017年論文

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2017年論文

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2017年論文

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2017年論文

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2017年论文

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2017年论文

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2017年论文

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name

MRI features predict survival and molecular markers in diffuse lower-grade gliomas.

@en

type

label

MRI features predict survival and molecular markers in diffuse lower-grade gliomas.

@en

prefLabel

MRI features predict survival and molecular markers in diffuse lower-grade gliomas.

@en

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MRI features predict survival and molecular markers in diffuse lower-grade gliomas.

@en

P2093

Bo Xiao

http://www.w3.org/2001/XMLSchema#string

Chang Su

http://www.w3.org/2001/XMLSchema#string

Derek Oldridge

http://www.w3.org/2001/XMLSchema#string

Haiyun Tang

http://www.w3.org/2001/XMLSchema#string

Hao Zhou

http://www.w3.org/2001/XMLSchema#string

Harrison X Bai

http://www.w3.org/2001/XMLSchema#string

Jianhua Zhou

http://www.w3.org/2001/XMLSchema#string

Li Yang

http://www.w3.org/2001/XMLSchema#string

Martin Vallières

http://www.w3.org/2001/XMLSchema#string

Paul Zhang

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P2860

Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

The Cancer Imaging Archive (TCIA): maintaining and operating a public information repository

Comprehensive, Integrative Genomic Analysis of Diffuse Lower-Grade Gliomas.

MR imaging predictors of molecular profile and survival: multi-institutional study of the TCGA glioblastoma data set.

Addition of MR imaging features and genetic biomarkers strengthens glioblastoma survival prediction in TCGA patients

Data-driven grading of brain gliomas: a multiparametric MR imaging study.

Glioblastoma multiforme: exploratory radiogenomic analysis by using quantitative image features.

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

Response assessment in neuro-oncology (a report of the RANO group): assessment of outcome in trials of diffuse low-grade gliomas.

A t(1;19)(q10;p10) mediates the combined deletions of 1p and 19q and predicts a better prognosis of patients with oligodendroglioma.

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862-870

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scholarly article

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10.1093/NEUONC/NOW256

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6

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19

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2017-06-01T00:00:00Z

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5464433

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