Cardiovascular magnetic resonance perfusion imaging at 3-Tesla for the detection of coronary artery disease - A comparison with 1.5-Tesla

被引:156
作者
Cheng, Adrian S. H.
Pegg, Tammy J.
Karamitsos, Theodoros D.
Searle, Nick
Jerosch-Herold, Michael
Choudhury, Robin P.
Adrian, P. Banning
Neubauer, Stefan
Robson, Matthew D.
Selvanayagam, Joseph B.
机构
[1] Univ Oxford, Dept Cardiovasc Med, Oxford, England
[2] Univ Oxford, Ctr Clin Magnet Resonance Res, Oxford, England
[3] John Radcliffe Hosp, Dept Radiol, Oxford OX3 9DU, England
[4] John Radcliffe Hosp, Dept Cardiol, Oxford OX3 9DU, England
[5] Oregon Hlth & Sci Univ, Adv Imaging Res Ctr, Portland, OR USA
基金
英国医学研究理事会;
关键词
D O I
10.1016/j.jacc.2007.03.028
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Objectives This study was designed to establish the diagnostic accuracy of cardiovascular magnetic resonance (CMR) perfusion imaging at 3-Tesla (T) in suspected coronary artery disease (CAD). Background Myocardial perfusion imaging is considered one of the most compelling applications for CMR at 3-T. The 3-T systems provide increased signal-to-noise ratio and contrast enhancement (compared with 1.5-T), which can potentially improve spatial resolution and image quality. Methods Sixty-one patients (age 64 +/- 8 years) referred for elective diagnostic coronary angiography (CA) for investigation of exertional chest pain were studied (before angiogram) with first-pass perfusion CMR at both 1.5- and 3-T and at stress (140 mu g,/kg/min intravenous adenosine, Adenoscan, Sanofi Synthelabo, Guildford, United Kingdom) and rest. Four short-axis images were acquired during every heartbeat using a saturation recovery fast-gradient echo sequence and 0.04 mmol/kg Gd-DTPA bolus injection. Quantitative CA served as the reference standard. Perfusion deficits were interpreted visually by 2 blinded observers. We defined CAD angiographically as the presence of >= 1 stenosis of >= 50% diameter in any of the main epicardial coronary arteries or their branches with a diameter of >= 2 mm. Results The prevalence of CAD was 66%. All perfusion images were found to be visually interpretable for diagnosis. We found that 3-T CMR perfusion imaging provided a higher diagnostic accuracy (90% vs. 82%), sensitivity (98% vs. 90%), specificity (76% vs. 67%), positive predictive value (89% vs. 84%), and negative predictive value (94% vs. 78%) for detection of significant coronary stenoses compared with 1.5-T. The diagnostic performance of 3-T perfusion imaging was significantly greater than that of 1.5-T in identifying both single-vessel disease (area under receiver-operator characteristic [ROC] curve: 0.89 +/- 0.05 vs. 0.70 +/- 0.08; p < 0.05) and multivessel disease (area under ROC curve: 0.95 +/- 10.03 vs. 0.82 +/- 0.06; p < 0.05). There was no difference between field strengths for the overall detection of coronary disease (area under ROC curve: 0.87 +/- 0.05 vs. 0.78 +/- 0.06; p = 0.23). Conclusions Our study showed that 3-T CMR perfusion imaging is superior to 15-T for prediction of significant single- and mutt vessel coronary disease, and 3-T may become the preferred CMR field strength for myocardial perfusion assessment in clinical practice. (J Am Coll Cardiol 2007;49:2440-9) (c) 2007 by the American College of Cardiology Foundation.
引用
收藏
页码:2440 / 2449
页数:10
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