Literature DB >> 19132546

Myocardial perfusion cardiac magnetic resonance for the diagnosis of coronary artery disease: do we need rest images?

Rungroj Krittayaphong1, Thananya Boonyasirinant, Pairash Saiviroonporn, Supaporn Nakyen, Prajak Thanapiboonpol, Ahthit Yindeengam, Suthipol Udompunturak.   

Abstract

Adenosine stress cardiovascular magnetic resonance (CMR) has been reported to be useful for the diagnosis of coronary artery disease (CAD). Most studies use rest and stress perfusion images. The objectives of this study were to determine (Barkhausen et al. in J Magn Reson Imaging 19(6):750-757, 1) the accuracy of visual assessment and myocardial perfusion reserve index (MPRI) in the diagnosis of CAD and (Rieber et al. in Fur Heart J 27(12):1465-1471, 2) the accuracy of analysis based on rest-stress and stress images. We enrolled patients with suspected CAD and referred them for coronary angiography (CAG). All the patients underwent adenosine stress CMR before CAG. Rest and stress perfusion images were analyzed by calculation of MPRI and visual assessment separately. Visual assessment was performed separately by using rest and stress images and by using only stress images. CAG was considered the gold standard. Sensitivity, specificity, and accuracy of both methods were calculated and compared. A total of 66 patients (mean age, 61.3 +/- 11.7 years) were studied. Thirty-eight patients (57.6%) were diagnosed with CAD. The sensitivity and specificity for the diagnosis of CAD (> or =50% stenosis) were 89.5 and 78.6% for MPRI, 76.3 and 75% for stress-rest visual method, and 86.8 and 75% for stress visual method, respectively. CMR perfusion had a relatively lower accuracy in patients with left ventricular systolic dysfunction, high left ventricular mass, or presence of late gadolinium enhancement than in patients without those CMR findings. Visual assessment of stress image of CMR perfusion is accurate and comparable to MPRI for the detection of CAD.

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Year:  2009        PMID: 19132546     DOI: 10.1007/s10554-008-9410-5

Source DB:  PubMed          Journal:  Int J Cardiovasc Imaging        ISSN: 1569-5794            Impact factor:   2.357


  21 in total

1.  Improved detection of coronary artery disease by stress perfusion cardiovascular magnetic resonance with the use of delayed enhancement infarction imaging.

Authors:  Igor Klem; John F Heitner; Dipan J Shah; Michael H Sketch; Victor Behar; Jonathan Weinsaft; Peter Cawley; Michele Parker; Michael Elliott; Robert M Judd; Raymond J Kim
Journal:  J Am Coll Cardiol       Date:  2006-03-27       Impact factor: 24.094

Review 2.  Standardized myocardial segmentation and nomenclature for tomographic imaging of the heart. A statement for healthcare professionals from the Cardiac Imaging Committee of the Council on Clinical Cardiology of the American Heart Association.

Authors:  Manuel D Cerqueira; Neil J Weissman; Vasken Dilsizian; Alice K Jacobs; Sanjiv Kaul; Waren K Laskey; Dudley J Pennell; John A Rumberger; Thomas Ryan; Mario S Verani
Journal:  Int J Cardiovasc Imaging       Date:  2002-02       Impact factor: 2.357

3.  Noninvasive assessment of blood flow based on magnetic resonance global coherent free precession.

Authors:  Igor Klem; Wolfgang G Rehwald; John F Heitner; Anja Wagner; Timothy Albert; Michele A Parker; Enn-Ling Chen; Raymond J Kim; Robert M Judd
Journal:  Circulation       Date:  2005-02-21       Impact factor: 29.690

4.  Cardiac magnetic resonance perfusion imaging for the functional assessment of coronary artery disease: a comparison with coronary angiography and fractional flow reserve.

Authors:  Johannes Rieber; Armin Huber; Isabelle Erhard; Silvia Mueller; Michael Schweyer; Andreas Koenig; Thomas M Schiele; Karl Theisen; Uwe Siebert; Stefan O Schoenberg; Maximilian Reiser; Volker Klauss
Journal:  Eur Heart J       Date:  2006-05-23       Impact factor: 29.983

5.  Noninvasive diagnosis of ischemia-induced wall motion abnormalities with the use of high-dose dobutamine stress MRI: comparison with dobutamine stress echocardiography.

Authors:  E Nagel; H B Lehmkuhl; W Bocksch; C Klein; U Vogel; E Frantz; A Ellmer; S Dreysse; E Fleck
Journal:  Circulation       Date:  1999-02-16       Impact factor: 29.690

6.  Myocardial first-pass perfusion magnetic resonance imaging: a multicenter dose-ranging study.

Authors:  S D Wolff; J Schwitter; R Coulden; M G Friedrich; D A Bluemke; R W Biederman; E T Martin; A J Lansky; F Kashanian; T K F Foo; P E Licato; C R Comeau
Journal:  Circulation       Date:  2004-08-02       Impact factor: 29.690

Review 7.  Diagnostic performance of stress cardiac magnetic resonance imaging in the detection of coronary artery disease: a meta-analysis.

Authors:  Kiran R Nandalur; Ben A Dwamena; Asim F Choudhri; Mohan R Nandalur; Ruth C Carlos
Journal:  J Am Coll Cardiol       Date:  2007-09-17       Impact factor: 24.094

8.  Incidence and prognostic implication of unrecognized myocardial scar characterized by cardiac magnetic resonance in diabetic patients without clinical evidence of myocardial infarction.

Authors:  Raymond Y Kwong; Hamid Sattar; Henry Wu; Gabriel Vorobiof; Vijay Gandla; Kevin Steel; Samuel Siu; Kenneth A Brown
Journal:  Circulation       Date:  2008-08-25       Impact factor: 29.690

Review 9.  Myocardial perfusion scintigraphy: the evidence.

Authors:  S R Underwood; C Anagnostopoulos; M Cerqueira; P J Ell; E J Flint; M Harbinson; A D Kelion; A Al-Mohammad; E M Prvulovich; L J Shaw; A C Tweddel
Journal:  Eur J Nucl Med Mol Imaging       Date:  2004-02       Impact factor: 9.236

10.  Cardiovascular magnetic resonance perfusion imaging at 3-tesla for the detection of coronary artery disease: a comparison with 1.5-tesla.

Authors:  Adrian S H Cheng; Tammy J Pegg; Theodoros D Karamitsos; Nick Searle; Michael Jerosch-Herold; Robin P Choudhury; Adrian P Banning; Stefan Neubauer; Matthew D Robson; Joseph B Selvanayagam
Journal:  J Am Coll Cardiol       Date:  2007-06-11       Impact factor: 24.094

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  5 in total

1.  Prognostic value of combined magnetic resonance myocardial perfusion imaging and late gadolinium enhancement.

Authors:  Rungroj Krittayaphong; Vithaya Chaithiraphan; Adisak Maneesai; Suthipol Udompanturak
Journal:  Int J Cardiovasc Imaging       Date:  2011-04-10       Impact factor: 2.357

Review 2.  Diagnostic performance of stress myocardial perfusion imaging for coronary artery disease: a systematic review and meta-analysis.

Authors:  Marcus C de Jong; Tessa S S Genders; Robert-Jan van Geuns; Adriaan Moelker; M G Myriam Hunink
Journal:  Eur Radiol       Date:  2012-04-19       Impact factor: 5.315

Review 3.  Diagnostic performance of semi-quantitative and quantitative stress CMR perfusion analysis: a meta-analysis.

Authors:  R van Dijk; M van Assen; R Vliegenthart; G H de Bock; P van der Harst; M Oudkerk
Journal:  J Cardiovasc Magn Reson       Date:  2017-11-27       Impact factor: 5.364

4.  Data on diagnostic performance of stress perfusion cardiac magnetic resonance for coronary artery disease detection at the vessel level.

Authors:  Apostolos Kiaos; Ioannis Tziatzios; Stavros Hadjimiltiades; Charalambos Karvounis; Theodoros D Karamitsos
Journal:  Data Brief       Date:  2017-12-07

5.  Clinical assessment of adenosine stress and rest cardiac magnetic resonance T1 mapping for detecting ischemic and infarcted myocardium.

Authors:  Sirilak Yimcharoen; Shuo Zhang; Yodying Kaolawanich; Prajak Tanapibunpon; Rungroj Krittayaphong
Journal:  Sci Rep       Date:  2020-09-07       Impact factor: 4.379

  5 in total

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