Literature DB >> 16941620

Absolute quantification of myocardial perfusion under adenosine stress.

Christian Ritter1, Anita Brackertz, Jörn Sandstede, Meinrad Beer, Dietbert Hahn, Herbert Köstler.   

Abstract

The prebolus technique allows one to quantify perfusion in the human heart with a low variability by means of MRI. In this study the prebolus technique was used to determine quantitative perfusion values in the human heart under adenosine stress and to measure the myocardial perfusion reserve (MPR). Twelve healthy volunteers were examined using the multislice prebolus technique with 1/4 cc Gd-BOPTA. Signal intensity (SI) time courses were evaluated in 288 manually segmented sectors at rest and stress. Myocardial perfusion was determined by deconvolution of the SI time courses with the arterial input function (AIF) from the prebolus scan. The mean stress perfusion value was 1.78 +/- 0.53 cc/g/min, and the mean rest perfusion was 0.52 +/- 0.11 cc/g/min, resulting in a mean MPR of 3.59 +/- 1.26. The measured values correlate well with data from animal models and human positron emission tomography (PET) studies.

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Year:  2006        PMID: 16941620     DOI: 10.1002/mrm.21020

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


  10 in total

1.  Quantitative myocardial distribution volume from dynamic contrast-enhanced MRI.

Authors:  Nathan A Pack; Edward V R Dibella; Brent D Wilson; Christopher J McGann
Journal:  Magn Reson Imaging       Date:  2008-02-20       Impact factor: 2.546

2.  Quantitative pixelwise myocardial perfusion maps from first-pass perfusion MRI.

Authors:  A M Weng; C O Ritter; M Beer; D Hahn; H Köstler
Journal:  Br J Radiol       Date:  2014-05-14       Impact factor: 3.039

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

Review 4.  Cardiovascular Imaging Techniques to Assess Microvascular Dysfunction.

Authors:  Roshin C Mathew; Jamieson M Bourque; Michael Salerno; Christopher M Kramer
Journal:  JACC Cardiovasc Imaging       Date:  2019-10-11

5.  Development of a universal dual-bolus injection scheme for the quantitative assessment of myocardial perfusion cardiovascular magnetic resonance.

Authors:  Masaki Ishida; Andreas Schuster; Geraint Morton; Amedeo Chiribiri; Shazia Hussain; Matthias Paul; Nico Merkle; Henning Steen; Dirk Lossnitzer; Bernhard Schnackenburg; Khaled Alfakih; Sven Plein; Eike Nagel
Journal:  J Cardiovasc Magn Reson       Date:  2011-05-24       Impact factor: 5.364

6.  Automatic postprocessing for the assessment of quantitative human myocardial perfusion using MRI.

Authors:  Andreas Max Weng; Christian Oliver Ritter; Joachim Lotz; Meinrad Joachim Beer; Dietbert Hahn; Herbert Köstler
Journal:  Eur Radiol       Date:  2009-12-17       Impact factor: 5.315

7.  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

8.  Quantification of myocardial perfusion with self-gated cardiovascular magnetic resonance.

Authors:  Devavrat Likhite; Ganesh Adluru; Nan Hu; Chris McGann; Edward DiBella
Journal:  J Cardiovasc Magn Reson       Date:  2015-02-12       Impact factor: 5.364

Review 9.  Cardiovascular magnetic resonance physics for clinicians: Part II.

Authors:  John D Biglands; Aleksandra Radjenovic; John P Ridgway
Journal:  J Cardiovasc Magn Reson       Date:  2012-09-20       Impact factor: 5.364

10.  A spatially-distributed computational model to quantify behaviour of contrast agents in MR perfusion imaging.

Authors:  A N Cookson; J Lee; C Michler; R Chabiniok; E Hyde; D Nordsletten; N P Smith
Journal:  Med Image Anal       Date:  2014-07-18       Impact factor: 8.545

  10 in total

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