18F-FDG-PET-based radiomics features to distinguish primary central nervous system lymphoma from glioblastoma

scientific article published on 27 June 2019

18F-FDG-PET-based radiomics features to distinguish primary central nervous system lymphoma from glioblastoma is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.1016/J.NICL.2019.101912
P932PMC publication ID6702330
P698PubMed publication ID31491820

P50authorPenghao LiuQ92432687
P2093author name stringYu Wang
Xin Cheng
Wenbin Ma
Shi Feng
Yaning Wang
Dachun Zhao
Wenlin Chen
Jiatong Li
Ziren Kong
Chendan Jiang
Ruizhe Zhu
P2860cites workThe Design of SimpleITKQ28660957
pROC: an open-source package for R and S+ to analyze and compare ROC curvesQ30050695
A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability ResearchQ30368733
Non-invasive metabolic imaging of brain tumours in the era of precision medicineQ31115540
A quantitative study of shape descriptors from glioblastoma multiforme phenotypes for predicting survival outcomeQ36174403
Classification of cerebral lymphomas and glioblastomas featuring luminance distribution analysisQ36948495
Heterogeneous Enhancement Patterns of Tumor-adjacent Parenchyma at MR Imaging Are Associated with Dysregulated Signaling Pathways and Poor Survival in Breast CancerQ38679084
Robust Intratumor Partitioning to Identify High-Risk Subregions in Lung Cancer: A Pilot StudyQ38841400
Volume of high-risk intratumoral subregions at multi-parametric MR imaging predicts overall survival and complements molecular analysis of glioblastomaQ38975001
Comparison between Glioblastoma and Primary Central Nervous System Lymphoma Using MR Image-based Texture AnalysisQ39389025
Associations Between Somatic Mutations and Metabolic Imaging Phenotypes in Non-Small Cell Lung CancerQ40559241
18F-FDG PET is an independent outcome predictor in primary central nervous system lymphomaQ45406205
Differentiation of Enhancing Glioma and Primary Central Nervous System Lymphoma by Texture-Based Machine Learning.Q45947583
Evaluation of tumor FDG transport and metabolism in primary central nervous system lymphoma using [18F]fluorodeoxyglucose (FDG) positron emission tomography (PET) kinetic analysisQ46917929
Computational Radiomics System to Decode the Radiographic PhenotypeQ47623355
Radiomics: the bridge between medical imaging and personalized medicineQ47869134
CBTRUS Statistical Report: Primary brain and other central nervous system tumors diagnosed in the United States in 2010-2014.Q47979443
Common malignant brain tumors: can 18F-FDG PET/CT aid in differentiation?Q48107925
Advances in the management of primary central nervous system lymphoma.Q49823622
Diffusion radiomics as a diagnostic model for atypical manifestation of primary central nervous system lymphoma: development and multicenter external validation.Q50041531
MRI features predict p53 status in lower-grade gliomas via a machine-learning approach.Q50419924
Primary central nervous system lymphoma and atypical glioblastoma: Differentiation using radiomics approach.Q52601610
18F-FDG PET radiomics approaches: comparing and clustering features in cervical cancer.Q52936358
The diagnostic role of (18)F-FDG PET for primary central nervous system lymphoma.Q53069155
FDG-PET/CT in the management of lymphomas: current status and future directionsQ57142031
A radiomic signature as a non-invasive predictor of progression-free survival in patients with lower-grade gliomasQ58557979
Intratumoral Spatial Heterogeneity at Perfusion MR Imaging Predicts Recurrence-free Survival in Locally Advanced Breast Cancer Treated with Neoadjuvant ChemotherapyQ64124983
Radiomics analysis allows for precise prediction of epilepsy in patients with low-grade gliomas.Q64899298
Robustness versus disease differentiation when varying parameter settings in radiomics features: application to nasopharyngeal PET/CTQ88008357
18F-FDG PET/CT in immunocompetent patients with primary central nervous system lymphoma: Differentiation from glioblastoma and correlation with DWIQ88953563
Prediction of survival with multi-scale radiomic analysis in glioblastoma patientsQ89145868
Radiomics in Oncological PET/CT: Clinical ApplicationsQ89244750
Novel Radiomic Features Based on Joint Intensity Matrices for Predicting Glioblastoma Patient Survival TimeQ89556450
Primary brain tumours in adultsQ90643353
Radiomics features to distinguish glioblastoma from primary central nervous system lymphoma on multi-parametric MRIQ91556689
P4510describes a project that usesscikit-imageQ22442795
P921main subjectcentral nervous system lymphomaQ136312
glioblastomaQ282142
primary central nervous system lymphomaQ3246818
P304page(s)101912
P577publication date2019-06-27
P1433published inNeuroImage: ClinicalQ22907265
P1476title18F-FDG-PET-based radiomics features to distinguish primary central nervous system lymphoma from glioblastoma
P478volume23

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