Literature DB >> 20815059

Negative predictive value of normal adenosine-stress cardiac MRI in the assessment of coronary artery disease and correlation with semiquantitative perfusion analysis.

Guenter Pilz1, Susanne Eierle, Tobias Heer, Markus Klos, Eman Ali, Roland Scheck, Michael Wild, Peter Bernhardt, Berthold Hoefling.   

Abstract

PURPOSE: To prospectively determine the negative predictive value of normal adenosine stress cardiac MR (CMR) in routine patients referred for evaluation of coronary artery disease (CAD), predominantly with intermediate to high pretest risk.
MATERIALS AND METHODS: Consecutive patients referred for coronary angiography were examined in a 1.5 Tesla whole-body scanner before catheterization. A total of 158 patients with normal CMR on qualitative assessment were included, and semiquantitative perfusion analysis was performed. Significant CAD was regarded as luminal narrowing of >or=70% in coronary angiography.
RESULTS: In the 158 study patients, negative predictive value of normal adenosine-stress CMR for significant CAD was 96.2% (for stenosis >or=90%: 98.1%). True-negative and false-negative patients were comparable regarding clinical presentation, risk factors, and CMR findings. Semiquantitative perfusion analysis gave significantly prolonged arrival time index and peak time index in the false-negative group. Using cutoff values >1.8 for arrival time index or >1.2 for peak time index, the CMR negative predictive value increased to 98.7% (for stenosis >or=90%: to 100%).
CONCLUSION: The very high negative predictive value for CAD supports CMR-based decision making for the indication to coronary angiography. Semiquantitative perfusion analysis seems promising to identify the small group of CAD patients not detectable by qualitative CMR assessment.

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Year:  2010        PMID: 20815059     DOI: 10.1002/jmri.22289

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  8 in total

1.  Adenosine stress cardiovascular magnetic resonance-observation unit management of patients at intermediate risk for acute coronary syndrome: a possible strategy for reducing healthcare-related costs.

Authors:  Michael E Hall; Chadwick D Miller; W Gregory Hundley
Journal:  Curr Treat Options Cardiovasc Med       Date:  2012-02

2.  Stress cardiovascular MR in routine clinical practice: referral patterns, accuracy, tolerance, safety and incidental findings.

Authors:  J P Khoo; B J Grundy; C D Steadman; E P Sonnex; R A Coulden; G P McCann
Journal:  Br J Radiol       Date:  2012-03-28       Impact factor: 3.039

3.  Prognostic value of stress cardiac magnetic resonance imaging in patients with known or suspected coronary artery disease: a systematic review and meta-analysis.

Authors:  Michael J Lipinski; Courtney M McVey; Jeffrey S Berger; Christopher M Kramer; Michael Salerno
Journal:  J Am Coll Cardiol       Date:  2013-05-30       Impact factor: 24.094

4.  Influence of small caliber coronary arteries on the diagnostic accuracy of adenosine stress cardiac magnetic resonance imaging.

Authors:  Günter Pilz; Tobias Heer; Maximilian Graw; Eman Ali; Markus Klos; Roland Scheck; Uwe Zeymer; Berthold Höfling
Journal:  Clin Res Cardiol       Date:  2010-09-24       Impact factor: 5.460

5.  Prognostic value of normal regadenoson stress perfusion cardiovascular magnetic resonance.

Authors:  Benjamin H Freed; Akhil Narang; Nicole M Bhave; Peter Czobor; Victor Mor-Avi; Emily R Zaran; Kristen M Turner; Kevin P Cavanaugh; Sonal Chandra; Sara M Tanaka; Michael H Davidson; Roberto M Lang; Amit R Patel
Journal:  J Cardiovasc Magn Reson       Date:  2013-12-21       Impact factor: 5.364

6.  Fully quantitative cardiovascular magnetic resonance myocardial perfusion ready for clinical use: a comparison between cardiovascular magnetic resonance imaging and positron emission tomography.

Authors:  Henrik Engblom; Hui Xue; Shahnaz Akil; Marcus Carlsson; Cecilia Hindorf; Jenny Oddstig; Fredrik Hedeer; Michael S Hansen; Anthony H Aletras; Peter Kellman; Håkan Arheden
Journal:  J Cardiovasc Magn Reson       Date:  2017-10-19       Impact factor: 5.364

7.  Diagnosis of Microvascular Angina Using Cardiac Magnetic Resonance.

Authors:  Alexander Liu; Rohan S Wijesurendra; Joanna M Liu; John C Forfar; Keith M Channon; Michael Jerosch-Herold; Stefan K Piechnik; Stefan Neubauer; Rajesh K Kharbanda; Vanessa M Ferreira
Journal:  J Am Coll Cardiol       Date:  2018-03-06       Impact factor: 24.094

8.  Cardiac Magnetic Resonance Versus Single-Photon Emission Computed Tomography for Detecting Coronary Artery Disease and Myocardial Ischemia: Comparison with Coronary Angiography.

Authors:  Fotios Laspas; Theodoros Pipikos; Emmanouil Karatzis; Nikolaos Georgakopoulos; Vasileios Prassopoulos; John Andreou; Lia A Moulopoulos; Achilleas Chatziioannou; Peter G Danias
Journal:  Diagnostics (Basel)       Date:  2020-03-29
  8 in total

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