Literature DB >> 21828909

The precision of pharmacokinetic parameters in dynamic contrast-enhanced magnetic resonance imaging: the effect of sampling frequency and duration.

Hugo J W L Aerts1, K Jaspers, Walter H Backes.   

Abstract

Dynamic contrast-enhanced magnetic resonance imaging is increasingly applied for tumour diagnosis and early evaluation of therapeutic responses over time. However, the reliability of pharmacokinetic parameters derived from DCE-MRI is highly dependent on the experimental settings. In this study, the effect of sampling frequency (f(s)) and duration on the precision of pharmacokinetic parameters was evaluated based on system identification theory and computer simulations. Both theoretical analysis and simulations showed that a higher value of the pharmacokinetic parameter K(trans) required an increasing sampling frequency. For instance, for similar results, a relatively low f(s) of 0.2 Hz was sufficient for a low K(trans) of 0.1 min⁻¹, compared to a high f(s) of 3 Hz for a high K(trans) of 0.5 min⁻¹. For the parameter v(e), a decreasing value required a higher sampling frequency. A sampling frequency below 0.1 Hz systematically resulted in imprecise estimates for all parameters. For the K(trans) and v(e) parameters, the sampling duration should be above 2 min, but durations of more than 7 min do not further improve parameter estimates.

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Year:  2011        PMID: 21828909     DOI: 10.1088/0031-9155/56/17/013

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  11 in total

1.  Influence of scan duration on the estimation of pharmacokinetic parameters for breast lesions: a study based on CAIPIRINHA-Dixon-TWIST-VIBE technique.

Authors:  Wen Hao; Bin Zhao; Guangbin Wang; Cuiyan Wang; Hui Liu
Journal:  Eur Radiol       Date:  2014-10-17       Impact factor: 5.315

2.  Quantitative effects of acquisition duration and temporal resolution on the measurement accuracy of prostate dynamic contrast-enhanced MRI data: a phantom study.

Authors:  Silvin Paul Knight; Jacinta Elizabeth Browne; James Frances Mary Meaney; Andrew John Fagan
Journal:  MAGMA       Date:  2017-04-10       Impact factor: 2.310

3.  Repeatability of dynamic contrast enhanced vp parameter in healthy subjects and patients with brain tumors.

Authors:  Moran Artzi; Gilad Liberman; Deborah T Blumenthal; Felix Bokstein; Orna Aizenstein; Dafna Ben Bashat
Journal:  J Neurooncol       Date:  2018-11-03       Impact factor: 4.130

4.  Accurate determination of blood-brain barrier permeability using dynamic contrast-enhanced T1-weighted MRI: a simulation and in vivo study on healthy subjects and multiple sclerosis patients.

Authors:  Stig P Cramer; Henrik B W Larsson
Journal:  J Cereb Blood Flow Metab       Date:  2014-07-30       Impact factor: 6.200

5.  An analysis of the uncertainty and bias in DCE-MRI measurements using the spoiled gradient-recalled echo pulse sequence.

Authors:  Ergys Subashi; Kingshuk R Choudhury; G Allan Johnson
Journal:  Med Phys       Date:  2014-03       Impact factor: 4.071

6.  Optimal acquisition and modeling parameters for accurate assessment of low Ktrans blood-brain barrier permeability using dynamic contrast-enhanced MRI.

Authors:  Samuel R Barnes; Thomas S C Ng; Axel Montagne; Meng Law; Berislav V Zlokovic; Russell E Jacobs
Journal:  Magn Reson Med       Date:  2015-06-16       Impact factor: 4.668

7.  Whole-lesion histogram and texture analyses of breast lesions on inline quantitative DCE mapping with CAIPIRINHA-Dixon-TWIST-VIBE.

Authors:  Kun Sun; Hong Zhu; Weimin Chai; Ying Zhan; Dominik Nickel; Robert Grimm; Caixia Fu; Fuhua Yan
Journal:  Eur Radiol       Date:  2019-08-01       Impact factor: 5.315

8.  Automatic Detection and Quantitative DCE-MRI Scoring of Prostate Cancer Aggressiveness.

Authors:  Nestor Andres Parra; Alan Pollack; Felix M Chinea; Matthew C Abramowitz; Brian Marples; Felipe Munera; Rosa Castillo; Oleksandr N Kryvenko; Sanoj Punnen; Radka Stoyanova
Journal:  Front Oncol       Date:  2017-11-10       Impact factor: 6.244

9.  Impact of contrast agent injection duration on dynamic contrast-enhanced MRI quantification in prostate cancer.

Authors:  Edzo M E Klawer; Petra J van Houdt; Floris J Pos; Stijn W T P J Heijmink; Matthias J P van Osch; Uulke A van der Heide
Journal:  NMR Biomed       Date:  2018-07-05       Impact factor: 4.044

10.  Predicting clinically significant prostate cancer using DCE-MRI habitat descriptors.

Authors:  N Andres Parra; Hong Lu; Qian Li; Radka Stoyanova; Alan Pollack; Sanoj Punnen; Jung Choi; Mahmoud Abdalah; Christopher Lopez; Kenneth Gage; Jong Y Park; Yamoah Kosj; Julio M Pow-Sang; Robert J Gillies; Yoganand Balagurunathan
Journal:  Oncotarget       Date:  2018-12-14
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