A comparison of two methods for estimating DCE-MRI parameters via individual and cohort based AIFs in prostate cancer: a step towards practical implementation.
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Quantitative Imaging Network: Data Sharing and Competitive AlgorithmValidation Leveraging The Cancer Imaging ArchiveBolus arrival time and its effect on tissue characterization with dynamic contrast-enhanced magnetic resonance imaging.The Impact of Arterial Input Function Determination Variations on Prostate Dynamic Contrast-Enhanced Magnetic Resonance Imaging Pharmacokinetic Modeling: A Multicenter Data Analysis ChallengeDCE-MRI of the prostate using shutter-speed vs. Tofts model for tumor characterization and assessment of aggressiveness.Quantitative pharmacokinetic analysis of prostate cancer DCE-MRI at 3T: comparison of two arterial input functions on cancer detection with digitized whole mount histopathological validationComputer-aided Detection of Prostate Cancer with MRI: Technology and Applications.Patient-specific pharmacokinetic parameter estimation on dynamic contrast-enhanced MRI of prostate: Preliminary evaluation of a novel AIF-free estimation method.Dynamic contrast-enhanced MRI of the patellar bone: How to quantify perfusion.Accuracy, repeatability, and interplatform reproducibility of T1 quantification methods used for DCE-MRI: Results from a multicenter phantom study.Practical aspects of prostate MRI: hardware and software considerations, protocols, and patient preparation.Robust and efficient pharmacokinetic parameter non-linear least squares estimation for dynamic contrast enhanced MRI of the prostate.Distinguishing benign and malignant breast tumors: preliminary comparison of kinetic modeling approaches using multi-institutional dynamic contrast-enhanced MRI data from the International Breast MR Consortium 6883 trial.Primary central nervous system lymphoma and atypical glioblastoma: differentiation using the initial area under the curve derived from dynamic contrast-enhanced MR and the apparent diffusion coefficient.Dynamic contrast-enhanced magnetic resonance imaging of prostate cancer: A review of current methods and applications.Modification of population based arterial input function to incorporate individual variation.Quantifying tumor vascular heterogeneity with DCE-MRI in complex adnexal masses: A preliminary study.Impact of arterial input function selection on the accuracy of dynamic contrast-enhanced MRI quantitative analysis for the diagnosis of clinically significant prostate cancer.Automatic individual arterial input functions calculated from PCA outperform manual and population-averaged approaches for the pharmacokinetic modeling of DCE-MR images.Thapsigargin induces apoptosis of prostate cancer through cofilin-1 and paxillin.
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A comparison of two methods for estimating DCE-MRI parameters via individual and cohort based AIFs in prostate cancer: a step towards practical implementation.
description
article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on 21 January 2014
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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
A comparison of two methods fo ...... ards practical implementation.
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A comparison of two methods fo ...... ards practical implementation.
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type
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A comparison of two methods fo ...... ards practical implementation.
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A comparison of two methods fo ...... ards practical implementation.
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A comparison of two methods fo ...... ards practical implementation.
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A comparison of two methods fo ...... ards practical implementation.
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P2093
P2860
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A comparison of two methods fo ...... wards practical implementation
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P2093
Clare Tempany
Fiona M Fennessy
Jacob Fluckiger
Robert Mulkern
Sandeep N Gupta
Thomas E Yankeelov
P2860
P304
P356
10.1016/J.MRI.2014.01.004
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2014-01-21T00:00:00Z