Literature DB >> 22264595

Myocardial perfusion magnetic resonance imaging using sliding-window conjugate-gradient highly constrained back-projection reconstruction for detection of coronary artery disease.

Heng Ma1, Jun Yang, Jing Liu, Lan Ge, Jing An, Qing Tang, Han Li, Yu Zhang, David Chen, Yong Wang, Jiabin Liu, Zhigang Liang, Kai Lin, Lixin Jin, Xiaoming Bi, Kuncheng Li, Debiao Li.   

Abstract

Myocardial perfusion magnetic resonance imaging (MRI) with sliding-window conjugate-gradient highly constrained back-projection reconstruction (SW-CG-HYPR) allows whole left ventricular coverage, improved temporal and spatial resolution and signal/noise ratio, and reduced cardiac motion-related image artifacts. The accuracy of this technique for detecting coronary artery disease (CAD) has not been determined in a large number of patients. We prospectively evaluated the diagnostic performance of myocardial perfusion MRI with SW-CG-HYPR in patients with suspected CAD. A total of 50 consecutive patients who were scheduled for coronary angiography with suspected CAD underwent myocardial perfusion MRI with SW-CG-HYPR at 3.0 T. The perfusion defects were interpreted qualitatively by 2 blinded observers and were correlated with x-ray angiographic stenoses ≥50%. The prevalence of CAD was 56%. In the per-patient analysis, the sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of SW-CG-HYPR was 96% (95% confidence interval 82% to 100%), 82% (95% confidence interval 60% to 95%), 87% (95% confidence interval 70% to 96%), 95% (95% confidence interval 74% to100%), and 90% (95% confidence interval 82% to 98%), respectively. In the per-vessel analysis, the corresponding values were 98% (95% confidence interval 91% to 100%), 89% (95% confidence interval 80% to 94%), 86% (95% confidence interval 76% to 93%), 99% (95% confidence interval 93% to 100%), and 93% (95% confidence interval 89% to 97%), respectively. In conclusion, myocardial perfusion MRI using SW-CG-HYPR allows whole left ventricular coverage and high resolution and has high diagnostic accuracy in patients with suspected CAD.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22264595     DOI: 10.1016/j.amjcard.2011.11.051

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  5 in total

1.  Improved quantification of myocardial blood flow using highly constrained back projection reconstruction.

Authors:  David Chen; Behzad Sharif; Rohan Dharmakumar; Louise E J Thomson; C Noel Bairey Merz; Daniel S Berman; Debiao Li
Journal:  Magn Reson Med       Date:  2013-10-01       Impact factor: 4.668

2.  Adenosine stress cardiovascular magnetic resonance with variable-density spiral pulse sequences accurately detects coronary artery disease: initial clinical evaluation.

Authors:  Michael Salerno; Angela Taylor; Yang Yang; Sujith Kuruvilla; Michael Ragosta; Craig H Meyer; Christopher M Kramer
Journal:  Circ Cardiovasc Imaging       Date:  2014-04-23       Impact factor: 7.792

Review 3.  Cardiac MRI assessment of myocardial perfusion.

Authors:  Yasmin S Hamirani; Christopher M Kramer
Journal:  Future Cardiol       Date:  2014-05

Review 4.  Sparse Reconstruction Techniques in Magnetic Resonance Imaging: Methods, Applications, and Challenges to Clinical Adoption.

Authors:  Alice C Yang; Madison Kretzler; Sonja Sudarski; Vikas Gulani; Nicole Seiberlich
Journal:  Invest Radiol       Date:  2016-06       Impact factor: 6.016

5.  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 in total

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