Prediction of pseudoprogression in patients with glioblastomas using the initial and final area under the curves ratio derived from dynamic contrast-enhanced T1-weighted perfusion MR imaging.
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Recent Application of Advanced MR Imaging to Predict Pseudoprogression in High-grade Glioma PatientsTime-delayed contrast-enhanced MRI improves detection of brain metastases: a prospective validation of diagnostic yield.Prognosis prediction of measurable enhancing lesion after completion of standard concomitant chemoradiotherapy and adjuvant temozolomide in glioblastoma patients: application of dynamic susceptibility contrast perfusion and diffusion-weighted imaginASFNR recommendations for clinical performance of MR dynamic susceptibility contrast perfusion imaging of the brain.Uninterpretable Dynamic Susceptibility Contrast-Enhanced Perfusion MR Images in Patients with Post-Treatment Glioblastomas: Cross-Validation of Alternative Imaging OptionsA state-of-the-art review and guidelines for tumor treating fields treatment planning and patient follow-up in glioblastoma.Detecting tumor progression in glioma: Current standards and new techniques.Analysis of heterogeneity in T2-weighted MR images can differentiate pseudoprogression from progression in glioblastoma.Pseudoprogression in patients with glioblastoma: clinical relevance despite low incidence.MR perfusion-weighted imaging in the evaluation of high-grade gliomas after treatment: a systematic review and meta-analysis.Differentiation of pseudoprogression and real progression in glioblastoma using ADC parametric response maps.Incidence of Tumour Progression and Pseudoprogression in High-Grade Gliomas: a Systematic Review and Meta-Analysis.Diffusion and perfusion MRI to differentiate treatment-related changes including pseudoprogression from recurrent tumors in high-grade gliomas with histopathologic evidenceStratification of pseudoprogression and true progression of glioblastoma multiform based on longitudinal diffusion tensor imaging without segmentation.Effect of imaging time in the magnetic resonance detection of intracerebral metastases using single dose gadobutrolQuantitative Evaluation for Differentiating Malignant and Benign Thyroid Nodules Using Histogram Analysis of Grayscale Sonograms.Amino acid PET and MR perfusion imaging in brain tumours.Diagnostic accuracy of magnetic resonance imaging techniques for treatment response evaluation in patients with high-grade glioma, a systematic review and meta-analysisClinical Applications of Contrast-Enhanced Perfusion MRI Techniques in Gliomas: Recent Advances and Current Challenges.Pseudoprogression as an adverse event of glioblastoma therapy.Which is the best advanced MR imaging protocol for predicting recurrent metastatic brain tumor following gamma-knife radiosurgery: focused on perfusion method.Comment on "The role of imaging in the management of progressive glioblastoma. A systematic review and evidence-based clinical practice guideline" [J Neurooncol 2014; 118:435-460].Assessment of Progression-Free-Survival in Glioblastomas by Intratreatment Dynamic Contrast-Enhanced MRI.Small increases in enhancement on MRI may predict survival post radiotherapy in patients with glioblastoma.Identification of a candidate biomarker from perfusion MRI to anticipate glioblastoma progression after chemoradiation.Diffusion Weighted/Tensor Imaging, Functional MRI and Perfusion Weighted Imaging in Glioblastoma-Foundations and Future.MRSI-based molecular imaging of therapy response to temozolomide in preclinical glioblastoma using source analysis.Differentiating Tumor Progression from Pseudoprogression in Patients with Glioblastomas Using Diffusion Tensor Imaging and Dynamic Susceptibility Contrast MRI.Prediction of Pseudoprogression versus Progression using Machine Learning Algorithm in Glioblastoma
P2860
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P2860
Prediction of pseudoprogression in patients with glioblastomas using the initial and final area under the curves ratio derived from dynamic contrast-enhanced T1-weighted perfusion MR imaging.
description
2013 nî lūn-bûn
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2013年の論文
@ja
2013年学术文章
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2013年学术文章
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2013年学术文章
@zh-cn
2013年学术文章
@zh-hans
2013年学术文章
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2013年学术文章
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2013年學術文章
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2013年學術文章
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name
Prediction of pseudoprogressio ...... weighted perfusion MR imaging.
@en
Prediction of pseudoprogressio ...... weighted perfusion MR imaging.
@nl
type
label
Prediction of pseudoprogressio ...... weighted perfusion MR imaging.
@en
Prediction of pseudoprogressio ...... weighted perfusion MR imaging.
@nl
prefLabel
Prediction of pseudoprogressio ...... weighted perfusion MR imaging.
@en
Prediction of pseudoprogressio ...... weighted perfusion MR imaging.
@nl
P2093
P2860
P356
P1476
Prediction of pseudoprogressio ...... weighted perfusion MR imaging.
@en
P2093
P2860
P304
P356
10.3174/AJNR.A3634
P577
2013-07-04T00:00:00Z