Gliomas: predicting time to progression or survival with cerebral blood volume measurements at dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging.
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Advanced techniques using contrast media in neuroimagingMultimodality Brain Tumor Imaging: MR Imaging, PET, and PET/MR ImagingDiagnosis and treatment in neuro-oncology: an oncological perspectiveThe role of diffusion and perfusion weighted imaging in the differential diagnosis of cerebral tumors: a review and future perspectivesEmerging methods for disease monitoring in malignant gliomasConvex-Envelope Based Automated Quantitative Approach to Multi-Voxel 1H-MRS Applied to Brain Tumor AnalysisBrain Vascular Imaging TechniquesGenomic mapping and survival prediction in glioblastoma: molecular subclassification strengthened by hemodynamic imaging biomarkers.Perfusion MRI: the five most frequently asked clinical questions.Modeling of nanotherapeutics delivery based on tumor perfusion.Functional imaging in adult and paediatric brain tumours.Pseudoprogression of glioblastoma after chemo- and radiation therapy: diagnosis by using dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging with ferumoxytol versus gadoteridol and correlation with survival.Measurements of tumor vascular leakiness using DCE in brain tumors: clinical applications.Invited review--neuroimaging response assessment criteria for brain tumors in veterinary patientsClinical applications of iron oxide nanoparticles for magnetic resonance imaging of brain tumors.ASFNR recommendations for clinical performance of MR dynamic susceptibility contrast perfusion imaging of the brain.Differentiation of Low- and High-Grade Pediatric Brain Tumors with High b-Value Diffusion-weighted MR Imaging and a Fractional Order Calculus ModelAdvances in Magnetic Resonance and Positron Emission Tomography Imaging: Assessing Response in the Treatment of Low-Grade Glioma.Advanced MR Imaging in Neuro-oncology.Paradoxical perfusion metrics of high-grade gliomas with an oligodendroglioma component: quantitative analysis of dynamic susceptibility contrast perfusion MR imaging.MR imaging of brain pilocytic astrocytoma: beyond the stereotype of benign astrocytoma.Reproducibility of dynamic contrast-enhanced MRI and dynamic susceptibility contrast MRI in the study of brain gliomas: a comparison of data obtained using different commercial software.Principles, techniques, and applications of T2*-based MR imaging and its special applications.Advanced imaging techniques in brain tumors.Parametric response map as an imaging biomarker to distinguish progression from pseudoprogression in high-grade glioma.Quantitative multiparametric MRI assessment of glioma response to radiotherapy in a rat modelFunctional MRI for radiotherapy of gliomas.Clinical impact of integrated physiologic brain tumor imaging.Prognostic value of blood flow measurements using arterial spin labeling in gliomasPerfusion CT imaging of brain tumors: an overview.Quantitative diffusion-weighted and dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging analysis of T2 hypointense lesion components in pediatric diffuse intrinsic pontine glioma.Perfusion and permeability MR imaging of gliomas.Advances in MRI assessment of gliomas and response to anti-VEGF therapy.MR diffusion tensor and perfusion-weighted imaging in preoperative grading of supratentorial nonenhancing gliomas.Neuroradiological viewpoint on the diagnostics of space-occupying brain lesions.Evaluation of pseudoprogression in patients with glioblastoma multiforme using dynamic magnetic resonance imaging with ferumoxytol calls RANO criteria into question.Clinical applications of dynamic susceptibility contrast perfusion-weighted MR imaging in brain tumours.MR imaging of neoplastic central nervous system lesions: review and recommendations for current practice.The added value of apparent diffusion coefficient to cerebral blood volume in the preoperative grading of diffuse gliomas.Survival analysis of patients with high-grade gliomas based on data mining of imaging variables.
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P2860
Gliomas: predicting time to progression or survival with cerebral blood volume measurements at dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging.
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on 18 March 2008
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
Gliomas: predicting time to pr ...... enhanced perfusion MR imaging.
@en
Gliomas: predicting time to pr ...... enhanced perfusion MR imaging.
@nl
type
label
Gliomas: predicting time to pr ...... enhanced perfusion MR imaging.
@en
Gliomas: predicting time to pr ...... enhanced perfusion MR imaging.
@nl
prefLabel
Gliomas: predicting time to pr ...... enhanced perfusion MR imaging.
@en
Gliomas: predicting time to pr ...... enhanced perfusion MR imaging.
@nl
P2093
P2860
P1433
P1476
Gliomas: predicting time to pr ...... enhanced perfusion MR imaging.
@en
P2093
David Zagzag
Douglas C Miller
James S Babb
John G Golfinos
Michael L Gruber
Nicole Peccerelli
Sophie Chheang
P2860
P304
P356
10.1148/RADIOL.2472070898
P407
P577
2008-03-18T00:00:00Z