Literature DB >> 23825774

Variability in quantitative cardiac magnetic resonance perfusion analysis.

K Bratis1, Eike Nagel.   

Abstract

By taking advantage of its high spatial resolution, noninvasive and nontoxic nature first-pass perfusion cardiovascular magnetic resonance (CMR) has rendered an indispensable tool for the noninvasive detection of reversible myocardial ischemia. A potential advantage of perfusion CMR is its ability to quantitatively assess perfusion reserve within a myocardial segment, as expressed semi- quantitatively by myocardial perfusion reserve index (MPRI) and fully- quantitatively by absolute myocardial blood flow (MBF). In contrast to the high accuracy and reliability of CMR in evaluating cardiac function and volumes, perfusion CMR is adversely affected by multiple potential reasons during data acquisition as well as post-processing. Various image acquisition techniques, various contrast agents and doses as well as variable blood flow at rest as well as variable reactions to stress all influence the acquired data. Mechanisms underlying the variability in perfusion CMR post processing, as well as their clinical significance, are yet to be fully elucidated. The development of a universal, reproducible, accurate and easily applicable tool in CMR perfusion analysis remains a challenge and will substantially enforce the role of perfusion CMR in improving clinical care.

Entities:  

Keywords:  Stress cardiac magnetic resonance (CMR) imaging; quantitative analysis; reproducibility

Year:  2013        PMID: 23825774      PMCID: PMC3698280          DOI: 10.3978/j.issn.2072-1439.2013.06.08

Source DB:  PubMed          Journal:  J Thorac Dis        ISSN: 2072-1439            Impact factor:   2.895


  21 in total

1.  Quantitative magnetic resonance first-pass perfusion analysis: inter- and intraobserver agreement.

Authors:  O M Mühling; M E Dickson; A Zenovich; Y Huang; B V Wilson; R F Wilson; I S Anand; R T Seethamraju; M Jerosch-Herold; N M Wilke
Journal:  J Cardiovasc Magn Reson       Date:  2001       Impact factor: 5.364

2.  Quantitative magnetic resonance perfusion imaging detects anatomic and physiologic coronary artery disease as measured by coronary angiography and fractional flow reserve.

Authors:  Marco A Costa; Steven Shoemaker; Hideki Futamatsu; Chris Klassen; Dominick J Angiolillo; Minh Nguyen; Alan Siuciak; Paul Gilmore; Martin M Zenni; Luis Guzman; Theodore A Bass; Norbert Wilke
Journal:  J Am Coll Cardiol       Date:  2007-07-23       Impact factor: 24.094

3.  Reproducibility of first-pass cardiovascular magnetic resonance myocardial perfusion.

Authors:  Abdulghani M Larghat; Neil Maredia; John Biglands; John P Greenwood; Stephen G Ball; Michael Jerosch-Herold; Aleksandra Radjenovic; Sven Plein
Journal:  J Magn Reson Imaging       Date:  2013-01-18       Impact factor: 4.813

4.  Magnetic resonance quantification of the myocardial perfusion reserve with a Fermi function model for constrained deconvolution.

Authors:  M Jerosch-Herold; N Wilke; A E Stillman
Journal:  Med Phys       Date:  1998-01       Impact factor: 4.071

5.  Adenosine stress myocardial contrast echocardiography for the detection of coronary artery disease: a comparison with coronary angiography and cardiac magnetic resonance.

Authors:  J Ranjit Arnold; Theodoros D Karamitsos; Tammy J Pegg; Jane M Francis; Robert Olszewski; Nick Searle; Roxy Senior; Stefan Neubauer; Harald Becher; Joseph B Selvanayagam
Journal:  JACC Cardiovasc Imaging       Date:  2010-09

6.  MR-IMPACT: comparison of perfusion-cardiac magnetic resonance with single-photon emission computed tomography for the detection of coronary artery disease in a multicentre, multivendor, randomized trial.

Authors:  Juerg Schwitter; Christian M Wacker; Albert C van Rossum; Massimo Lombardi; Nidal Al-Saadi; Hakan Ahlstrom; Thorsten Dill; Henrik B W Larsson; Scott D Flamm; Moritz Marquardt; Lars Johansson
Journal:  Eur Heart J       Date:  2008-01-21       Impact factor: 29.983

7.  Relationship between regional myocardial oxygenation and perfusion in patients with coronary artery disease: insights from cardiovascular magnetic resonance and positron emission tomography.

Authors:  Theodoros D Karamitsos; Lucia Leccisotti; Jayanth R Arnold; Alejandro Recio-Mayoral; Paul Bhamra-Ariza; Ruairidh K Howells; Nick Searle; Matthew D Robson; Ornella E Rimoldi; Paolo G Camici; Stefan Neubauer; Joseph B Selvanayagam
Journal:  Circ Cardiovasc Imaging       Date:  2009-11-17       Impact factor: 7.792

Review 8.  Hyperpolarized magnetic resonance: a novel technique for the in vivo assessment of cardiovascular disease.

Authors:  Marie A Schroeder; Kieran Clarke; Stefan Neubauer; Damian J Tyler
Journal:  Circulation       Date:  2011-10-04       Impact factor: 29.690

9.  Reproducibility of adenosine stress cardiovascular magnetic resonance in multi-vessel symptomatic coronary artery disease.

Authors:  Sharon Chih; Peter S Macdonald; Michael P Feneley; Matthew Law; Robert M Graham; Jane A McCrohon
Journal:  J Cardiovasc Magn Reson       Date:  2010-07-21       Impact factor: 5.364

10.  Quantification of absolute myocardial perfusion in patients with coronary artery disease: comparison between cardiovascular magnetic resonance and positron emission tomography.

Authors:  Geraint Morton; Amedeo Chiribiri; Masaki Ishida; Shazia T Hussain; Andreas Schuster; Andreas Indermuehle; Divaka Perera; Juhani Knuuti; Stacey Baker; Erik Hedström; Paul Schleyer; Michael O'Doherty; Sally Barrington; Eike Nagel
Journal:  J Am Coll Cardiol       Date:  2012-09-19       Impact factor: 24.094

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  2 in total

1.  Improved diagnosis and prognosis using Decisions Informed by Combining Entities (DICE): results from the NHLBI-sponsored Women's Ischemia Syndrome Evaluation (WISE).

Authors:  Mark Doyle; Gerald M Pohost; C Noel Bairey Merz; Leslee J Shaw; George Sopko; William J Rogers; Barry L Sharaf; Carl J Pepine; Diane A Vido-Thompson; Geetha Rayarao; Lindsey Tauxe; Sheryl F Kelsey; Douglas Mc Nair; Robert W Biederman
Journal:  Cardiovasc Diagn Ther       Date:  2013-12

2.  Use of bio-informatics assessment schema (BIAS) to improve diagnosis and prognosis of myocardial perfusion data: results from the NHLBI-sponsored women's ischemia syndrome evaluation (WISE).

Authors:  Mark Doyle; Gerald M Pohost; C Noel Bairey Merz; Leslee J Shaw; George Sopko; William J Rogers; Barry L Sharaf; Carl J Pepine; Diane V Thompson; Geetha Rayarao; Lindsey Tauxe; Sheryl F Kelsey; Robert W W Biederman
Journal:  Cardiovasc Diagn Ther       Date:  2016-10
  2 in total

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