Radiomic subtyping improves disease stratification beyond key molecular, clinical and standard imaging characteristics in patients with glioblastoma (Q50074624)

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scientific article published on 28 September 2017

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English	Radiomic subtyping improves disease stratification beyond key molecular, clinical and standard imaging characteristics in patients with glioblastoma	scientific article published on 28 September 2017

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scholarly article

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24 February 2018

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Radiomic subtyping improves disease stratification beyond key molecular, clinical and standard imaging characteristics in patients with glioblastoma (English)

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Jürgen Debus

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Martin Bendszus

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Andreas von Deimling

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David Capper

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Christel Herold-Mende

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Martin Sill

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Stefan M. Pfister

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Stefan Pfister

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David T. W. Jones

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David T W Jones

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Heinz-Peter Schlemmer

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Annekathrin Kratz

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Antje Wick

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Philipp Kickingereder

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Philipp Kickingereder

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David Bonekamp

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Ulf Neuberger

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Paula L Piechotta

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Michael Götz

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Russell T Shinohara

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Alexander Radbruch

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John Muschelli

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Andreas Unterberg

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Klaus H Maier-Hein

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publication date

28 September 2017

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http://europepmc.org/abstract/MED/29036412

Quantitative Imaging Biomarkers for Risk Stratification of Patients with Recurrent Glioblastoma Treated with Bevacizumab

1 reference

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29 September 2018

Large-scale Radiomic Profiling of Recurrent Glioblastoma Identifies an Imaging Predictor for Stratifying Anti-Angiogenic Treatment Response

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=5961168

29 September 2018

Radiomic Profiling of Glioblastoma: Identifying an Imaging Predictor of Patient Survival with Improved Performance over Established Clinical and Radiologic Risk Models

1 reference

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The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary

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Regularization Paths for Cox's Proportional Hazards Model via Coordinate Descent

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Bevacizumab Plus Irinotecan Versus Temozolomide in Newly Diagnosed O6-Methylguanine-DNA Methyltransferase Nonmethylated Glioblastoma: The Randomized GLARIUS Trial

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Sensitivity Analysis of the MGMT-STP27 Model and Impact of Genetic and Epigenetic Context to Predict the MGMT Methylation Status in Gliomas and Other Tumors.

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Assessment of tumor oxygenation and its impact on treatment response in bevacizumab-treated recurrent glioblastoma

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Molecular Profiling Reveals Biologically Discrete Subsets and Pathways of Progression in Diffuse Glioma

1 reference

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Radiomics: Images Are More than Pictures, They Are Data

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MR Perfusion-derived Hemodynamic Parametric Response Mapping of Bevacizumab Efficacy in Recurrent Glioblastoma

1 reference

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29 September 2018

Evaluation of tumor-derived MRI-texture features for discrimination of molecular subtypes and prediction of 12-month survival status in glioblastoma

1 reference

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Prognostic Imaging Biomarkers in Glioblastoma: Development and Independent Validation on the Basis of Multiregion and Quantitative Analysis of MR Images

1 reference

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29 September 2018

Magnetic resonance image features identify glioblastoma phenotypic subtypes with distinct molecular pathway activities

1 reference

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Two cilengitide regimens in combination with standard treatment for patients with newly diagnosed glioblastoma and unmethylated MGMT gene promoter: results of the open-label, controlled, randomized phase II CORE study

1 reference

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Statistical normalization techniques for magnetic resonance imaging

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Evaluating Random Forests for Survival Analysis using Prediction Error Curves.

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CBTRUS statistical report: primary brain and central nervous system tumors diagnosed in the United States in 2007-2011.

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MGMT testing--the challenges for biomarker-based glioma treatment

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Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

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Glioblastoma multiforme: exploratory radiogenomic analysis by using quantitative image features

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The Medical Imaging Interaction Toolkit: challenges and advances : 10 years of open-source development

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Hotspot mutations in H3F3A and IDH1 define distinct epigenetic and biological subgroups of glioblastoma

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Temozolomide versus standard 6-week radiotherapy versus hypofractionated radiotherapy in patients older than 60 years with glioblastoma: the Nordic randomised, phase 3 trial

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MGMT methylation analysis of glioblastoma on the Infinium methylation BeadChip identifies two distinct CpG regions associated with gene silencing and outcome, yielding a prediction model for comparisons across datasets, tumor grades, and CIMP-status

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Regularization Paths for Generalized Linear Models via Coordinate Descent

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Assessing the performance of prediction models: a framework for traditional and novel measures

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User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability

1 reference

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Fast robust automated brain extraction

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Improved optimization for the robust and accurate linear registration and motion correction of brain images

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29 September 2018

Identifiers

10.1093/NEUONC/NOX188

1 reference

Europe PubMed Central

PubMed publication ID

24 February 2018

http://europepmc.org/abstract/MED/29036412

PMC publication ID

0 references

PubMed publication ID

1 reference

Europe PubMed Central

PubMed publication ID

24 February 2018

http://europepmc.org/abstract/MED/29036412

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