Radiomics in Glioblastoma: Current Status and Challenges Facing Clinical Implementation
出版年份 2019 全文链接
标题
Radiomics in Glioblastoma: Current Status and Challenges Facing Clinical Implementation
作者
关键词
-
出版物
Frontiers in Oncology
Volume 9, Issue -, Pages -
出版商
Frontiers Media SA
发表日期
2019-05-21
DOI
10.3389/fonc.2019.00374
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Texture analysis on diffusion tensor imaging: discriminating glioblastoma from single brain metastasis
- (2018) Karoline Skogen et al. ACTA RADIOLOGICA
- Imaging Genetic Heterogeneity in Glioblastoma and Other Glial Tumors: Review of Current Methods and Future Directions
- (2018) Daniel Chow et al. AMERICAN JOURNAL OF ROENTGENOLOGY
- Machine Learning-Based Radiomics for Molecular Subtyping of Gliomas
- (2018) Chia-Feng Lu et al. CLINICAL CANCER RESEARCH
- Radiogenomics correlation between MR imaging features and major genetic profiles in glioblastoma
- (2018) Eun Kyoung Hong et al. EUROPEAN RADIOLOGY
- Multiregional radiomics features from multiparametric MRI for prediction of MGMT methylation status in glioblastoma multiforme: A multicentre study
- (2018) Zhi-Cheng Li et al. EUROPEAN RADIOLOGY
- Phase 2 Study of Bortezomib Combined With Temozolomide and Regional Radiation Therapy for Upfront Treatment of Patients With Newly Diagnosed Glioblastoma Multiforme: Safety and Efficacy Assessment
- (2018) Xiao-Tang Kong et al. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
- Using Big Data Analytics to Advance Precision Radiation Oncology
- (2018) Todd R. McNutt et al. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
- Differentiating pseudoprogression from true progression: analysis of radiographic, biologic, and clinical clues in GBM
- (2018) Lindsay S. Rowe et al. JOURNAL OF NEURO-ONCOLOGY
- Prediction of survival with multi-scale radiomic analysis in glioblastoma patients
- (2018) Ahmad Chaddad et al. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
- Recurrent Glioblastoma Treated with Recombinant Poliovirus
- (2018) Annick Desjardins et al. NEW ENGLAND JOURNAL OF MEDICINE
- Quantitative radiomic profiling of glioblastoma represents transcriptomic expression
- (2018) Doo-Sik Kong et al. Oncotarget
- Radiomic MRI signature reveals three distinct subtypes of glioblastoma with different clinical and molecular characteristics, offering prognostic value beyond IDH1
- (2018) Saima Rathore et al. Scientific Reports
- Novel Radiomic Features based on Joint Intensity Matrices for Predicting Glioblastoma Patient Survival Time
- (2018) Ahmad Chaddad et al. IEEE Journal of Biomedical and Health Informatics
- Radiomics Evaluation of Histological Heterogeneity Using Multiscale Textures Derived From 3D Wavelet Transformation of Multispectral Images
- (2018) Ahmad Chaddad et al. Frontiers in Oncology
- A multi-sequence and habitat-based MRI radiomics signature for preoperative prediction of MGMT promoter methylation in astrocytomas with prognostic implication
- (2018) Jingwei Wei et al. EUROPEAN RADIOLOGY
- 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
- A radiomics approach to assess tumour-infiltrating CD8 cells and response to anti-PD-1 or anti-PD-L1 immunotherapy: an imaging biomarker, retrospective multicohort study
- (2018) Roger Sun et al. LANCET ONCOLOGY
- CBTRUS Statistical Report: Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 2011–2015
- (2018) Quinn T Ostrom et al. NEURO-ONCOLOGY
- Prediction of Pseudoprogression versus Progression using Machine Learning Algorithm in Glioblastoma
- (2018) Bum-Sup Jang et al. Scientific Reports
- Multimodal 3D DenseNet for IDH Genotype Prediction in Gliomas
- (2018) Sen Liang et al. Genes
- BRAF Inhibition in BRAFV600-Mutant Gliomas: Results From the VE-BASKET Study
- (2018) Thomas Kaley et al. JOURNAL OF CLINICAL ONCOLOGY
- Volume of high-risk intratumoral subregions at multi-parametric MR imaging predicts overall survival and complements molecular analysis of glioblastoma
- (2017) Yi Cui et al. EUROPEAN RADIOLOGY
- Primary central nervous system lymphoma and glioblastoma differentiation based on conventional magnetic resonance imaging by high-throughput SIFT features
- (2017) Yinsheng Chen et al. INTERNATIONAL JOURNAL OF NEUROSCIENCE
- Effect of Tumor-Treating Fields Plus Maintenance Temozolomide vs Maintenance Temozolomide Alone on Survival in Patients With Glioblastoma
- (2017) Roger Stupp et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Algorithmic three-dimensional analysis of tumor shape in MRI improves prognosis of survival in glioblastoma: a multi-institutional study
- (2017) Nicholas Czarnek et al. JOURNAL OF NEURO-ONCOLOGY
- Radiogenomics of lower-grade glioma: algorithmically-assessed tumor shape is associated with tumor genomic subtypes and patient outcomes in a multi-institutional study with The Cancer Genome Atlas data
- (2017) Maciej A. Mazurowski et al. JOURNAL OF NEURO-ONCOLOGY
- Imaging correlates for the 2016 update on WHO classification of grade II/III gliomas: implications for IDH, 1p/19q and ATRX status
- (2017) Rachel L. Delfanti et al. JOURNAL OF NEURO-ONCOLOGY
- Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation
- (2017) Konstantinos Kamnitsas et al. MEDICAL IMAGE ANALYSIS
- A survey on deep learning in medical image analysis
- (2017) Geert Litjens et al. MEDICAL IMAGE ANALYSIS
- Radiomics: the bridge between medical imaging and personalized medicine
- (2017) Philippe Lambin et al. Nature Reviews Clinical Oncology
- MR-guided radiation therapy: transformative technology and its role in the central nervous system
- (2017) Yue Cao et al. NEURO-ONCOLOGY
- MRI features predict survival and molecular markers in diffuse lower-grade gliomas
- (2017) Hao Zhou et al. NEURO-ONCOLOGY
- Optimizing a machine learning based glioma grading system using multi-parametric MRI histogram and texture features
- (2017) Xin Zhang et al. Oncotarget
- Grading of Gliomas by Using Radiomic Features on Multiple Magnetic Resonance Imaging (MRI) Sequences
- (2017) Jiang-bo Qin et al. MEDICAL SCIENCE MONITOR
- A Deep Learning-Based Radiomics Model for Prediction of Survival in Glioblastoma Multiforme
- (2017) Jiangwei Lao et al. Scientific Reports
- Diffusion tensor image features predict IDH genotype in newly diagnosed WHO grade II/III gliomas
- (2017) Paul Eichinger et al. Scientific Reports
- The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary
- (2016) David N. Louis et al. ACTA NEUROPATHOLOGICA
- A quantitative study of shape descriptors from glioblastoma multiforme phenotypes for predicting survival outcome
- (2016) Ahmad Chaddad et al. BRITISH JOURNAL OF RADIOLOGY
- Fast-mRMR: Fast Minimum Redundancy Maximum Relevance Algorithm for High-Dimensional Big Data
- (2016) Sergio Ramírez-Gallego et al. INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
- Extracted magnetic resonance texture features discriminate between phenotypes and are associated with overall survival in glioblastoma multiforme patients
- (2016) Ahmad Chaddad et al. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
- Radiomic Profiling of Glioblastoma: Identifying an Imaging Predictor of Patient Survival with Improved Performance over Established Clinical and Radiologic Risk Models
- (2016) Philipp Kickingereder et al. RADIOLOGY
- Radiogenomics of Glioblastoma: Machine Learning–based Classification of Molecular Characteristics by Using Multiparametric and Multiregional MR Imaging Features
- (2016) Philipp Kickingereder et al. RADIOLOGY
- The Potential of Radiomic-Based Phenotyping in Precision Medicine
- (2016) Hugo J. W. L. Aerts JAMA Oncology
- Differentiating Tumor Progression from Pseudoprogression in Patients with Glioblastomas Using Diffusion Tensor Imaging and Dynamic Susceptibility Contrast MRI
- (2015) S. Wang et al. AMERICAN JOURNAL OF NEURORADIOLOGY
- Evaluation of tumor-derived MRI-texture features for discrimination of molecular subtypes and prediction of 12-month survival status in glioblastoma
- (2015) Dalu Yang et al. MEDICAL PHYSICS
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Machine Learning methods for Quantitative Radiomic Biomarkers
- (2015) Chintan Parmar et al. Scientific Reports
- Comparison of Linear Accelerator and Helical Tomotherapy Plans for Glioblastoma Multiforme Patients
- (2014) Timur Koca et al. Asian Pacific Journal of Cancer Prevention
- Residual tumor volume versus extent of resection: predictors of survival after surgery for glioblastoma
- (2014) Matthew M. Grabowski et al. JOURNAL OF NEUROSURGERY
- Molecular Subtypes of Glioblastoma Are Relevant to Lower Grade Glioma
- (2014) Xiaowei Guan et al. PLoS One
- Quantitative Imaging Network: Data Sharing and Competitive AlgorithmValidation Leveraging The Cancer Imaging Archive
- (2014) Jayashree Kalpathy-Cramer et al. Translational Oncology
- Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
- (2014) Hugo J. W. L. Aerts et al. Nature Communications
- Erratum: Corrigendum: Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
- (2014) Hugo J.W.L. Aerts et al. Nature Communications
- Cross-validation pitfalls when selecting and assessing regression and classification models
- (2014) Damjan Krstajic et al. Journal of Cheminformatics
- Histogram-Based Apparent Diffusion Coefficient Analysis: An Emerging Tool for Cervical Cancer Characterization?
- (2013) Andrew B. Rosenkrantz AMERICAN JOURNAL OF ROENTGENOLOGY
- Relationship Between Imaging Biomarkers of Stage I Cervical Cancer and Poor-Prognosis Histologic Features: Quantitative Histogram Analysis of Diffusion-Weighted MR Images
- (2013) Kate Downey et al. AMERICAN JOURNAL OF ROENTGENOLOGY
- Feature selection and survival modeling in The Cancer Genome Atlas
- (2013) Hyunsoo Kim et al. International Journal of Nanomedicine
- Comparison between intensity normalization techniques for dynamic susceptibility contrast (DSC)-MRI estimates of cerebral blood volume (CBV) in human gliomas
- (2012) Benjamin M. Ellingson et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Radiomics: the process and the challenges
- (2012) Virendra Kumar et al. MAGNETIC RESONANCE IMAGING
- SEMI-SUPERVISED ANALYSIS OF HUMAN BRAIN TUMOURS FROM PARTIALLY LABELED MRS INFORMATION, USING MANIFOLD LEARNING MODELS
- (2011) RAÚL CRUZ-BARBOSA et al. International Journal of Neural Systems
- IDH1 and IDH2 Mutations Are Prognostic but not Predictive for Outcome in Anaplastic Oligodendroglial Tumors: A Report of the European Organization for Research and Treatment of Cancer Brain Tumor Group
- (2010) M. J. van den Bent et al. CLINICAL CANCER RESEARCH
- Effects of radiotherapy with concomitant and adjuvant temozolomide versus radiotherapy alone on survival in glioblastoma in a randomised phase III study: 5-year analysis of the EORTC-NCIC trial
- (2009) Roger Stupp et al. LANCET ONCOLOGY
- Classification of brain tumor type and grade using MRI texture and shape in a machine learning scheme
- (2009) Evangelia I. Zacharaki et al. MAGNETIC RESONANCE IN MEDICINE
- Comprehensive genomic characterization defines human glioblastoma genes and core pathways
- (2008) Roger McLendon et al. NATURE
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