Radiomics derived from amino-acid PET and conventional MRI in patients with high-grade gliomas
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Title
Radiomics derived from amino-acid PET and conventional MRI in patients with high-grade gliomas
Authors
Keywords
-
Journal
The quarterly journal of nuclear medicine and molecular imaging
Volume 62, Issue 3, Pages -
Publisher
Edizioni Minerva Medica
Online
2018-09-04
DOI
10.23736/s1824-4785.18.03095-9
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Note: Only part of the references are listed.- Pseudoprogression after glioma therapy: an update
- (2017) Norbert Galldiks et al. Expert Review of Neurotherapeutics
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- (2017) Zhijie Zhang et al. INTERNATIONAL IMMUNOPHARMACOLOGY
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- (2017) Yi-bin Xi et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Glioma Survival Prediction with Combined Analysis of In Vivo11C-MET PET Features, Ex Vivo Features, and Patient Features by Supervised Machine Learning
- (2017) László Papp et al. JOURNAL OF NUCLEAR MEDICINE
- Brain tumor segmentation using holistically nested neural networks in MRI images
- (2017) Ying Zhuge et al. MEDICAL PHYSICS
- Advances in neuro-oncology imaging
- (2017) Karl-Josef Langen et al. Nature Reviews Neurology
- NIMG-32. DIFFERENTIATION OF PSEUDOPROGRESSION FROM TUMOR PROGRESSION IN GLIOBLASTOMA PATIENTS BASED ON FET PET RADIOMICS
- (2017) Philipp Lohmann et al. NEURO-ONCOLOGY
- NIMG-82. PREDICTING ISOCITRATE DEHYDROGENASE GENOTYPE IN GLIOMAS USING FET PET RADIOMICS
- (2017) Philipp Lohmann et al. NEURO-ONCOLOGY
- MRI features predict survival and molecular markers in diffuse lower-grade gliomas
- (2017) Hao Zhou et al. NEURO-ONCOLOGY
- MRI radiomics analysis of molecular alterations in low-grade gliomas
- (2017) Ben Shofty et al. International Journal of Computer Assisted Radiology and Surgery
- Pseudoprogression after glioma therapy: an update
- (2017) Norbert Galldiks et al. Expert Review of Neurotherapeutics
- The use of amino acid PET and conventional MRI for monitoring of brain tumor therapy
- (2017) Norbert Galldiks et al. NeuroImage-Clinical
- Deep Learning based Radiomics (DLR) and its usage in noninvasive IDH1 prediction for low grade glioma
- (2017) Zeju Li et al. Scientific Reports
- 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
- Radiation injury vs. recurrent brain metastasis: combining textural feature radiomics analysis and standard parameters may increase 18F-FET PET accuracy without dynamic scans
- (2016) Philipp Lohmann et al. EUROPEAN RADIOLOGY
- Noninvasive IDH1 mutation estimation based on a quantitative radiomics approach for grade II glioma
- (2016) Jinhua Yu et al. EUROPEAN RADIOLOGY
- Radiomic features from the peritumoral brain parenchyma on treatment-naïve multi-parametric MR imaging predict long versus short-term survival in glioblastoma multiforme: Preliminary findings
- (2016) Prateek Prasanna et al. EUROPEAN RADIOLOGY
- MRI texture features as biomarkers to predict MGMT methylation status in glioblastomas
- (2016) Panagiotis Korfiatis et al. MEDICAL PHYSICS
- Response Assessment in Neuro-Oncology working group and European Association for Neuro-Oncology recommendations for the clinical use of PET imaging in gliomas
- (2016) Nathalie L. Albert et al. NEURO-ONCOLOGY
- MR perfusion-weighted imaging in the evaluation of high-grade gliomas after treatment: a systematic review and meta-analysis
- (2016) Praneil Patel et al. NEURO-ONCOLOGY
- Multimodal MRI features predict isocitrate dehydrogenase genotype in high-grade gliomas
- (2016) Biqi Zhang et al. NEURO-ONCOLOGY
- Applications and limitations of radiomics
- (2016) Stephen S F Yip et al. PHYSICS IN MEDICINE AND BIOLOGY
- 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
- Unsupervised consensus cluster analysis of [18F]-fluoroethyl-L-tyrosine positron emission tomography identified textural features for the diagnosis of pseudoprogression in high-grade glioma
- (2016) Sied Kebir et al. Oncotarget
- Textural analysis of pre-therapeutic [18F]-FET-PET and its correlation with tumor grade and patient survival in high-grade gliomas
- (2015) Thomas Pyka et al. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
- The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
- (2015) Bjoern H. Menze et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Impact of 1p/19q Codeletion and Histology on Outcomes of Anaplastic Gliomas Treated With Radiation Therapy and Temozolomide
- (2015) Christina K. Speirs et al. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
- Prognostic significance of relative 1p/19q codeletion in oligodendroglial tumors
- (2015) Marc C. Chamberlain et al. JOURNAL OF NEURO-ONCOLOGY
- Intratumoral heterogeneity in glioblastoma: don't forget the peritumoral brain zone
- (2015) Jean-Michel Lemée et al. NEURO-ONCOLOGY
- Diagnosis of pseudoprogression in patients with glioblastoma using O-(2-[18F]fluoroethyl)-l-tyrosine PET
- (2014) Norbert Galldiks et al. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
- Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
- (2014) Hugo J. W. L. Aerts et al. Nature Communications
- Conventional MRI evaluation of gliomas
- (2012) N Upadhyay et al. BRITISH JOURNAL OF RADIOLOGY
- Radiomics: Extracting more information from medical images using advanced feature analysis
- (2012) Philippe Lambin et al. EUROPEAN JOURNAL OF CANCER
- Radiomics: the process and the challenges
- (2012) Virendra Kumar et al. MAGNETIC RESONANCE IMAGING
- Patients with IDH1 wild type anaplastic astrocytomas exhibit worse prognosis than IDH1-mutated glioblastomas, and IDH1 mutation status accounts for the unfavorable prognostic effect of higher age: implications for classification of gliomas
- (2010) Christian Hartmann et al. ACTA NEUROPATHOLOGICA
- Updated Response Assessment Criteria for High-Grade Gliomas: Response Assessment in Neuro-Oncology Working Group
- (2010) Patrick Y. Wen et al. JOURNAL OF CLINICAL ONCOLOGY
- Volumetry of [11C]-methionine PET uptake and MRI contrast enhancement in patients with recurrent glioblastoma multiforme
- (2009) Norbert Galldiks et al. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
- Correlation of O6-Methylguanine Methyltransferase (MGMT) Promoter Methylation With Clinical Outcomes in Glioblastoma and Clinical Strategies to Modulate MGMT Activity
- (2008) Monika E. Hegi et al. JOURNAL OF CLINICAL ONCOLOGY
- MGMTPromoter Methylation Status Can Predict the Incidence and Outcome of Pseudoprogression After Concomitant Radiochemotherapy in Newly Diagnosed Glioblastoma Patients
- (2008) Alba A. Brandes et al. JOURNAL OF CLINICAL ONCOLOGY
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