Literature DB >> 7500882

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

K M Donahue1, R M Weisskoff, D J Parmelee, R J Callahan, R A Wilkinson, J B Mandeville, B R Rosen.   

Abstract

A new technique for measuring tissue cellular volume fraction, based on an improved modeling of the dynamic distribution of Gd-DTPA and the effect of proton exchange, is described. This technique uses peak T1 enhancement and blood Gd-DTPA concentration to compute tissue cellular volume fraction. The feasibility of this technique is demonstrated with computer simulations that explore the limits of the simplifying assumptions (small vascular space, slow vascular-extravascular proton exchange), and by direct comparison of MR and radionuclide cell fraction measurements made in muscle, liver, and tumor tissue in a rat model. The computer simulations demonstrate that with slow to intermediate vascular proton exchange and vascular fractions less than 10% the error in our cell fraction measurements typically remains less than 10%. Consistent with this prediction, a direct comparison between MR and radionuclide measurements of cell fraction demonstrates mean percent differences of less than 10%:1.9% in muscle (n = 4); 9% in liver (n = 1) and 9.5% in tumor (n = 4). Similarly, for all rats studied, the MR-measured cell fractions (muscle (0.92 +/- 0.04, n = 20); liver (0.76 +/- 0.11, n = 9); whole tumor (0.69 +/- 0.15, n = 22)) agree with the cell fraction values reported in the literature. In general, the authors' results demonstrate the feasibility of a simple method for measuring tissue cell fraction that is robust across a broad range of vascular volume, flow, and exchange conditions. Consequently, this method may prove to be an important means for evaluating the response of tumors to therapy.

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Year:  1995        PMID: 7500882     DOI: 10.1002/mrm.1910340320

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


  24 in total

1.  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

Review 2.  Causes and effects of heterogeneous perfusion in tumors.

Authors:  R J Gillies; P A Schornack; T W Secomb; N Raghunand
Journal:  Neoplasia       Date:  1999-08       Impact factor: 5.715

3.  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

4.  Incorporating the effects of transcytolemmal water exchange in a reference region model for DCE-MRI analysis: theory, simulations, and experimental results.

Authors:  Thomas E Yankeelov; Jeffrey J Luci; Laura M DeBusk; P Charles Lin; John C Gore
Journal:  Magn Reson Med       Date:  2008-02       Impact factor: 4.668

5.  Evaluation of the effect of transcytolemmal water exchange analysis for therapeutic response assessment using DCE-MRI: a comparison study.

Authors:  Chunhao Wang; Ergys Subashi; Xiao Liang; Fang-Fang Yin; Zheng Chang
Journal:  Phys Med Biol       Date:  2016-06-08       Impact factor: 3.609

Review 6.  Intraoperative perfusion magnetic resonance imaging: Cutting-edge improvement in neurosurgical procedures.

Authors:  Stephan Ulmer
Journal:  World J Radiol       Date:  2014-08-28

7.  Comparison of dynamic contrast-enhanced MRI and quantitative SPECT in a rat glioma model.

Authors:  Jack T Skinner; Thomas E Yankeelov; Todd E Peterson; Mark D Does
Journal:  Contrast Media Mol Imaging       Date:  2012 Nov-Dec       Impact factor: 3.161

8.  A comparison of individual and population-derived vascular input functions for quantitative DCE-MRI in rats.

Authors:  David A Hormuth; Jack T Skinner; Mark D Does; Thomas E Yankeelov
Journal:  Magn Reson Imaging       Date:  2014-01-07       Impact factor: 2.546

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

Authors:  Cheng Yang; Gregory S Karczmar; Milica Medved; Aytekin Oto; Marta Zamora; Walter M Stadler
Journal:  Magn Reson Med       Date:  2009-04       Impact factor: 4.668

10.  A dedicated automated injection system for dynamic contrast-enhanced MRI experiments in mice.

Authors:  Jan Sedlacik; Adrianne Myers; Ralf B Loeffler; Regan F Williams; Andrew M Davidoff; Claudia M Hillenbrand
Journal:  J Magn Reson Imaging       Date:  2012-09-21       Impact factor: 4.813

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