Literature DB >> 19185002

Reproducibility assessment of a multiple reference tissue method for quantitative dynamic contrast enhanced-MRI analysis.

Cheng Yang1, Gregory S Karczmar, Milica Medved, Aytekin Oto, Marta Zamora, Walter M Stadler.   

Abstract

Bone metastases of 16 prostate cancer patients were scanned twice 1 week apart by dynamic contrast enhanced (DCE)-MRI at 2-s resolution using a two-dimensional gradient-echo pulse sequence. With a multiple reference tissue method (MRTM), the local tissue arterial input function (AIF) was estimated using the contrast agent enhancement data from tumor subregions and muscle. The 32 individual AIFs estimated by the MRTM, which had considerable intra-patient and inter-patient variability, were similar to directly measured AIFs in the literature and using the MRTM AIFs in a pharmacokinetic model to derive estimated individual cardiac outputs provided physiologically reasonable results. The MRTM individual AIFs gave better fits with smaller sum of squared errors and equally reproducible estimate of kinetic parameters compared with a previous reported population AIF measured from remote arteries. The individual MRTM AIFs were also used to obtain a mean local tissue AIF for the unique population of this study, which further improved the reproducibility of the estimated kinetic parameters. The MRTM can be applied to DCE-MRI studies of bone metastases from prostate cancers to provide an AIF from which reproducible quantitative DCE-MRI parameters can be derived, thus help standardize DCE-MRI studies in cancer patients.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19185002      PMCID: PMC2758034          DOI: 10.1002/mrm.21912

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  36 in total

1.  Blind identification of the kinetic parameters in three-compartment models.

Authors:  Dmitri Y Riabkov; Edward V R Di Bella
Journal:  Phys Med Biol       Date:  2004-03-07       Impact factor: 3.609

2.  Measurement of the blood-brain barrier permeability and leakage space using dynamic MR imaging. 1. Fundamental concepts.

Authors:  P S Tofts; A G Kermode
Journal:  Magn Reson Med       Date:  1991-02       Impact factor: 4.668

3.  Inversion recovery EPI of bolus transit in rat myocardium using intravascular and extravascular gadolinium-based MR contrast media: dose effects on peak signal enhancement.

Authors:  M F Wendland; M Saeed; K K Yu; T P Roberts; K Lauerma; N Derugin; J Varadarajan; A D Watson; C B Higgins
Journal:  Magn Reson Med       Date:  1994-09       Impact factor: 4.668

4.  Measurement of the arterial concentration of Gd-DTPA using MRI: a step toward quantitative perfusion imaging.

Authors:  T Fritz-Hansen; E Rostrup; H B Larsson; L Søndergaard; P Ring; O Henriksen
Journal:  Magn Reson Med       Date:  1996-08       Impact factor: 4.668

5.  Measurement of cardiac output by cine computed tomography.

Authors:  J S Garrett; P Lanzer; W Jaschke; E Botvinick; R Sievers; C B Higgins; M J Lipton
Journal:  Am J Cardiol       Date:  1985-10-01       Impact factor: 2.778

6.  Pharmacokinetics of GdDTPA/dimeglumine after intravenous injection into healthy volunteers.

Authors:  H J Weinmann; M Laniado; W Mützel
Journal:  Physiol Chem Phys Med NMR       Date:  1984

7.  Recirculatory pharmacokinetic models of markers of blood, extracellular fluid and total body water administered concomitantly.

Authors:  T C Krejcie; T K Henthorn; C U Niemann; C Klein; D K Gupta; W B Gentry; C A Shanks; M J Avram
Journal:  J Pharmacol Exp Ther       Date:  1996-09       Impact factor: 4.030

8.  Dynamic Gd-DTPA enhanced MRI measurement of tissue cell volume fraction.

Authors:  K M Donahue; R M Weisskoff; D J Parmelee; R J Callahan; R A Wilkinson; J B Mandeville; B R Rosen
Journal:  Magn Reson Med       Date:  1995-09       Impact factor: 4.668

9.  Advantages of continuous measurement of cardiac output 24 h a day.

Authors:  J P Montani; H L Mizelle; B N Van Vliet; T H Adair
Journal:  Am J Physiol       Date:  1995-08

10.  Variation of the relaxographic "shutter-speed" for transcytolemmal water exchange affects the CR bolus-tracking curve shape.

Authors:  Thomas E Yankeelov; William D Rooney; Xin Li; Charles S Springer
Journal:  Magn Reson Med       Date:  2003-12       Impact factor: 4.668

View more
  22 in total

1.  Simulation-based comparison of two approaches frequently used for dynamic contrast-enhanced MRI.

Authors:  Stefan Zwick; Gunnar Brix; Paul S Tofts; Ralph Strecker; Annette Kopp-Schneider; Hendrik Laue; Wolfhard Semmler; Fabian Kiessling
Journal:  Eur Radiol       Date:  2009-09-01       Impact factor: 5.315

Review 2.  The promise of dynamic contrast-enhanced imaging in radiation therapy.

Authors:  Yue Cao
Journal:  Semin Radiat Oncol       Date:  2011-04       Impact factor: 5.934

3.  Precision analysis of kinetic modelling estimates in dynamic contrast enhanced MRI.

Authors:  Dieter De Naeyer; Yves De Deene; Wim P Ceelen; Patrick Segers; Pascal Verdonck
Journal:  MAGMA       Date:  2011-01-08       Impact factor: 2.310

4.  A model-constrained Monte Carlo method for blind arterial input function estimation in dynamic contrast-enhanced MRI: II. In vivo results.

Authors:  Matthias C Schabel; Edward V R DiBella; Randy L Jensen; Karen L Salzman
Journal:  Phys Med Biol       Date:  2010-08-03       Impact factor: 3.609

5.  A model-constrained Monte Carlo method for blind arterial input function estimation in dynamic contrast-enhanced MRI: I. Simulations.

Authors:  Matthias C Schabel; Jacob U Fluckiger; Edward V R DiBella
Journal:  Phys Med Biol       Date:  2010-08-03       Impact factor: 3.609

6.  Variations of dynamic contrast-enhanced magnetic resonance imaging in evaluation of breast cancer therapy response: a multicenter data analysis challenge.

Authors:  Wei Huang; Xin Li; Yiyi Chen; Xia Li; Ming-Ching Chang; Matthew J Oborski; Dariya I Malyarenko; Mark Muzi; Guido H Jajamovich; Andriy Fedorov; Alina Tudorica; Sandeep N Gupta; Charles M Laymon; Kenneth I Marro; Hadrien A Dyvorne; James V Miller; Daniel P Barbodiak; Thomas L Chenevert; Thomas E Yankeelov; James M Mountz; Paul E Kinahan; Ron Kikinis; Bachir Taouli; Fiona Fennessy; Jayashree Kalpathy-Cramer
Journal:  Transl Oncol       Date:  2014-02-01       Impact factor: 4.243

7.  Bolus arrival time and its effect on tissue characterization with dynamic contrast-enhanced magnetic resonance imaging.

Authors:  Alireza Mehrtash; Sandeep N Gupta; Dattesh Shanbhag; James V Miller; Tina Kapur; Fiona M Fennessy; Ron Kikinis; Andriy Fedorov
Journal:  J Med Imaging (Bellingham)       Date:  2016-03-01

8.  Variability in Quantitative DCE-MRI: Sources and Solutions.

Authors:  Harrison Kim
Journal:  J Nat Sci       Date:  2018

Review 9.  The role of magnetic resonance imaging biomarkers in clinical trials of treatment response in cancer.

Authors:  Thomas E Yankeelov; Lori R Arlinghaus; Xia Li; John C Gore
Journal:  Semin Oncol       Date:  2011-02       Impact factor: 4.929

10.  Sensitivity of quantitative metrics derived from DCE MRI and a pharmacokinetic model to image quality and acquisition parameters.

Authors:  Yue Cao; Diana Li; Zhou Shen; Daniel Normolle
Journal:  Acad Radiol       Date:  2010-04       Impact factor: 3.173

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.