Literature DB >> 8084239

Studies of Gd-DTPA relaxivity and proton exchange rates in tissue.

K M Donahue1, D Burstein, W J Manning, M L Gray.   

Abstract

The image intensity in many contrast agent perfusion studies is designed to be a function of bulk tissue T1, which is, in turn, a function of the compartmental (vascular, interstitial, and cellular) T1s, and the rate of proton exchange between the compartments. The goal of this study was to characterize the compartmental tissue Gd-DTPA relaxivities and to determine the proton exchange rate between the compartments. Expressing [Gd-DTPA] as mmol/liter tissue water, the relaxivities at 8.45 T and room temperature were: saline, 3.87 +/- 0.06 (mM.s)-1 (mean +/- SE; n = 29); plasma, 3.98 +/- 0.05 (mM.s)-1 (n = 6); and control cartilage (primarily an interstitium), 4.08 +/- 0.08 (mM.s)-1 (n = 17), none of which are significantly different. The relaxivity of cartilage did not change with compression, trypsinization, or equilibration in plasma, suggesting relaxivity is not influenced by interstitial solid matrix density, charge, or the presence of plasma proteins. T1 relaxation studies on isolated perfused hearts demonstrated that the cellular-interstitial water exchange rate is between 8 and 27 Hz, while the interstitial-vascular water exchange rate is less than 7 Hz. Thus, for Gd-DTPA concentrations, which would be used clinically, the T1 relaxation rate behavior of intact hearts can be modeled as being in the fast exchange regime for cellular-interstitial exchange but slow exchange for interstitial-vascular exchange. A measured relaxivity of 3.82 +/- 0.05 (mM.s)-1 (n = 8) for whole blood (red blood cells and plasma) and 4.16 +/- 0.02 (mM.s)-1 (n = 3) for frog heart tissue (cells and interstitium) (with T1 and Gd-DTPA concentration defined from the total tissue water volume) supports the conclusion of fast cellular-extracellular exchange. Knowledge of the Gd-DTPA relaxivity and maintaining Gd-DTPA concentration in the range so as to maintain fast cellular-interstitial exchange allows for calculation of bulk Gd-DTPA concentration from bulk tissue T1 within a calculable error due to slow vascular exchange.

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Year:  1994        PMID: 8084239     DOI: 10.1002/mrm.1910320110

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


  61 in total

Review 1.  Cardiac MRI for assessment of myocardial perfusion: current status and future perspectives.

Authors:  T Laddis; W J Manning; P G Danias
Journal:  J Nucl Cardiol       Date:  2001 Mar-Apr       Impact factor: 5.952

2.  Determination of in vivo rat muscle Gd-DTPA relaxivity at 6.3 T.

Authors:  T H Rozijn; B P van der Sanden; A Heerschap; J H Creyghton; W M Boveé
Journal:  MAGMA       Date:  1999-10       Impact factor: 2.310

3.  Modeling of Look-Locker estimates of the magnetic resonance imaging estimate of longitudinal relaxation rate in tissue after contrast administration.

Authors:  Ramesh Paudyal; Hassan Bagher-Ebadian; Tavarekere N Nagaraja; Joseph D Fenstermacher; James R Ewing
Journal:  Magn Reson Med       Date:  2011-05-31       Impact factor: 4.668

4.  Measurement of skeletal muscle perfusion during postischemic reactive hyperemia using contrast-enhanced MRI with a step-input function.

Authors:  Richard B Thompson; Ronnier J Aviles; Anthony Z Faranesh; Venkatesh K Raman; Victor Wright; Robert S Balaban; Elliot R McVeigh; Robert J Lederman
Journal:  Magn Reson Med       Date:  2005-08       Impact factor: 4.668

5.  Measurement of kinetic parameters in skeletal muscle by magnetic resonance imaging with an intravascular agent.

Authors:  Anthony Z Faranesh; Dara L Kraitchman; Elliot R McVeigh
Journal:  Magn Reson Med       Date:  2006-05       Impact factor: 4.668

6.  Water exchange-minimizing DCE-MRI protocol to detect changes in tumor vascular parameters: effect of bevacizumab/paclitaxel combination therapy.

Authors:  Wenlian Zhu; Yoshinori Kato; Dmitri Artemov
Journal:  MAGMA       Date:  2013-06-27       Impact factor: 2.310

7.  Quantitative assessment of macromolecular concentration during direct infusion into an agarose hydrogel phantom using contrast-enhanced MRI.

Authors:  Xiaoming Chen; Garrett W Astary; Hector Sepulveda; Thomas H Mareci; Malisa Sarntinoranont
Journal:  Magn Reson Imaging       Date:  2008-06-25       Impact factor: 2.546

8.  A model for MRI contrast enhancement using T1 agents.

Authors:  E T Ahrens; U Rothbächer; R E Jacobs; S E Fraser
Journal:  Proc Natl Acad Sci U S A       Date:  1998-07-21       Impact factor: 11.205

9.  A quantitative comparison of the influence of individual versus population-derived vascular input functions on dynamic contrast enhanced-MRI in small animals.

Authors:  Mary E Loveless; Jane Halliday; Carsten Liess; Lei Xu; Richard D Dortch; Jennifer Whisenant; John C Waterton; John C Gore; Thomas E Yankeelov
Journal:  Magn Reson Med       Date:  2011-06-17       Impact factor: 4.668

10.  In vivo study of microcirculation in canine myocardium using the IVIM method.

Authors:  Virginie Callot; Eric Bennett; Ulrich K M Decking; Robert S Balaban; Han Wen
Journal:  Magn Reson Med       Date:  2003-09       Impact factor: 4.668

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