New advances that enable identification of glioblastoma recurrence.
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Emerging methods for disease monitoring in malignant gliomasTreatment-related brain tumor imaging changes: So-called "pseudoprogression" vs. tumor progression: Review and future research opportunitiesMRI patterns of T1 enhancing radiation necrosis versus tumour recurrence in high-grade gliomas.Comparison of magnetic resonance spectroscopy and positron emission tomography in detection of tumor recurrence in posttreatment of glioma: A diagnostic meta-analysis.Pattern analysis of dynamic susceptibility contrast-enhanced MR imaging demonstrates peritumoral tissue heterogeneity.[Molecular imaging in neurological diseases].Imaging of brain tumors: MR spectroscopy and metabolic imagingMultimodality intraoperative MRI for brain tumor surgery.Neuroradiological response criteria for high-grade gliomas.Molecular imaging of gliomas with PET: opportunities and limitations.Decreasing glioma recurrence through adjuvant cancer stem cell inhibitionRadiation necrosis following treatment of high grade glioma--a review of the literature and current understanding.Assessment of MRI parameters as imaging biomarkers for radiation necrosis in the rat brain.3-Dimensional magnetic resonance spectroscopic imaging at 3 Tesla for early response assessment of glioblastoma patients during external beam radiation therapyGenome-wide RNAi screening identifies genes inhibiting the migration of glioblastoma cells.Differentiation between glioma and radiation necrosis using molecular magnetic resonance imaging of endogenous proteins and peptides.Usefulness of MS-MLPA for detection of MGMT promoter methylation in the evaluation of pseudoprogression in glioblastoma patients.Serial analysis of imaging parameters in patients with newly diagnosed glioblastoma multiforme.EPB41L3, TSP-1 and RASSF2 as new clinically relevant prognostic biomarkers in diffuse gliomas.Silencing of Bmi-1 gene enhances chemotherapy sensitivity in human glioblastoma cells.Evaluation of radiation necrosis and malignant glioma in rat models using diffusion tensor MR imaging.Novel therapies in glioblastoma.Specific chemotaxis of magnetically labeled mesenchymal stem cells: implications for MRI of gliomaMetabolism of [U-13 C]glucose in human brain tumors in vivoMean apparent diffusion coefficient values in defining radiotherapy planning target volumes in glioblastoma.Influence of far upstream element binding protein 1 gene on chemotherapy sensitivity in human U251 glioblastoma cells.High levels of cellular proliferation predict pseudoprogression in glioblastoma patientsImaging Surrogates of Infiltration Obtained Via Multiparametric Imaging Pattern Analysis Predict Subsequent Location of Recurrence of GlioblastomaMagnetic resonance spectroscopy as an early indicator of response to anti-angiogenic therapy in patients with recurrent glioblastoma: RTOG 0625/ACRIN 6677.Synthetic low-density lipoprotein (sLDL) selectively delivers paclitaxel to tumor with low systemic toxicity.Histopathological correlates with survival in reoperated glioblastomas.Refined brain tumor diagnostics and stratified therapies: the requirement for a multidisciplinary approach.Irradiation induces glioblastoma cell senescence and senescence-associated secretory phenotype.Preoperative Detection and Intraoperative Visualization of Brain Tumors for More Precise Surgery: A New Dual-Modality MRI and NIR Nanoprobe.Volumetric assessment of recurrent or progressive gliomas: comparison between F-DOPA PET and perfusion-weighted MRI.Dynamic contrast-enhanced perfusion processing for neuroradiologists: model-dependent analysis may not be necessary for determining recurrent high-grade glioma versus treatment effect.Clinical Applications of Contrast-Enhanced Perfusion MRI Techniques in Gliomas: Recent Advances and Current Challenges.Differentiation of tumor progression from pseudoprogression in patients with posttreatment glioblastoma using multiparametric histogram analysis.Pseudoprogression after glioma therapy: an update.(11)C-choline PET/CT tumor recurrence detection and survival prediction in post-treatment patients with high-grade gliomas.
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New advances that enable identification of glioblastoma recurrence.
description
article científic
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article scientifique
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articolo scientifico
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artigo científico
@pt
bilimsel makale
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scientific article published on 06 October 2009
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
New advances that enable identification of glioblastoma recurrence.
@en
New advances that enable identification of glioblastoma recurrence.
@nl
type
label
New advances that enable identification of glioblastoma recurrence.
@en
New advances that enable identification of glioblastoma recurrence.
@nl
prefLabel
New advances that enable identification of glioblastoma recurrence.
@en
New advances that enable identification of glioblastoma recurrence.
@nl
P2860
P1476
New advances that enable identification of glioblastoma recurrence
@en
P2093
Manish K Aghi
P2860
P304
P356
10.1038/NRCLINONC.2009.150
P407
P50
P577
2009-10-06T00:00:00Z