Literature DB >> 9702711

Quantification of myocardial perfusion by MRI after coronary occlusion.

J P Vallée1, H D Sostman, J R MacFall, T R DeGrado, J Zhang, L Sebbag, F R Cobb, T Wheeler, L W Hedlund, T G Turkington, C E Spritzer, R E Coleman.   

Abstract

The objectives of this study were to define the relationship between the first order constant of Gd-DTPA transfer (K1) and the myocardial blood flow (MBF) at rest and to compare it with an equivalent relationship obtained for positron emission tomography (PET). In a canine model of permanent coronary occlusion (n = 4), myocardial and blood time concentration curves obtained by 13N-ammonia PET and Gd-DTPA-enhanced MRI were fitted by a one-compartment model to determine K1. A linear relationship was observed between MRI-derived K1 and MBF measured by microspheres (K1 = 0.88 x flow -0.015, R = 0.95), which compares favorably with the equivalent relationship derived from PET (K1 = 0.74 x flow +0.16, R = 0.88). The results of this preliminary study suggest that, at rest and distal to a permanently occluded coronary artery, myocardial perfusion quantification by MRI is possible and can challenge PET.

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Year:  1998        PMID: 9702711     DOI: 10.1002/mrm.1910400215

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


  7 in total

1.  Development of a theory for generating regional cardiac perfusion images during coronary angiography in the coronary angiography lab.

Authors:  Takuya Sakaguchi; Takashi Ichihara; Jeffrey C Trost; Omair Yousuf; Joao A C Lima; Jingwu Yao; Richard T George
Journal:  Int J Cardiovasc Imaging       Date:  2013-10-12       Impact factor: 2.357

2.  Development of a method for automated and stable myocardial perfusion measurement using coronary X-ray angiography images.

Authors:  Takuya Sakaguchi; Takashi Ichihara; Takahiro Natsume; Jingwu Yao; Omair Yousuf; Jeffrey C Trost; Joao A C Lima; Richard T George
Journal:  Int J Cardiovasc Imaging       Date:  2015-04-17       Impact factor: 2.357

3.  Comparison of myocardial perfusion estimates from dynamic contrast-enhanced magnetic resonance imaging with four quantitative analysis methods.

Authors:  Nathan A Pack; Edward V R DiBella
Journal:  Magn Reson Med       Date:  2010-07       Impact factor: 4.668

4.  A fast and effective method of quantifying myocardial perfusion by magnetic resonance imaging.

Authors:  Giovanni Donato Aquaro; Giancarlo Todiere; Gianluca Di Bella; Letizia Guiducci; Alessandro Pingitore; Vincenzo Lionetti
Journal:  Int J Cardiovasc Imaging       Date:  2013-04-21       Impact factor: 2.357

5.  Comparison of the Diagnostic Performance of Four Quantitative Myocardial Perfusion Estimation Methods Used in Cardiac MR Imaging: CE-MARC Substudy.

Authors:  John D Biglands; Derek R Magee; Steven P Sourbron; Sven Plein; John P Greenwood; Aleksandra Radjenovic
Journal:  Radiology       Date:  2014-12-18       Impact factor: 11.105

6.  Automatic in-line quantitative myocardial perfusion mapping: Processing algorithm and implementation.

Authors:  Hui Xue; Louise A E Brown; Sonia Nielles-Vallespin; Sven Plein; Peter Kellman
Journal:  Magn Reson Med       Date:  2019-08-23       Impact factor: 4.668

7.  Estimating myocardial perfusion from dynamic contrast-enhanced CMR with a model-independent deconvolution method.

Authors:  Nathan A Pack; Edward V R DiBella; Thomas C Rust; Dan J Kadrmas; Christopher J McGann; Regan Butterfield; Paul E Christian; John M Hoffman
Journal:  J Cardiovasc Magn Reson       Date:  2008-11-12       Impact factor: 5.364

  7 in total

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