We have developed and validated a series of quantitative perfusion methods including a dual bolus protocol (Christian TF et al. Radiology. 2004; 232(3):677-84). We demonstrated that all of the conclusions from the pre-clinical studies were applicable and relevant in people (Hsu L et al. J Magn Reson Imaging 2006; 23(3):315-22). One problem common to prior quantitative perfusion analyses (including our own work) has been reliance on region of interest analysis or sector-based analysis. These types of sector-based analyses are equivalent to degrading the image resolution by a factor of 10-50 and result in rather blocky representations of myocardial perfusion. Since physicians generally interpret perfusion images by watching a series of images played in a digital video loop at full resolution, we hypothesized that MRI could evaluate fully quantitative myocardial blood flow (MBF) at a pixel level based on contrast-enhanced first-pass cardiac magnetic resonance (CMR) imaging in dogs and patients. We found that myocardial blood flow could be quantified at the pixel level (32 microliters of myocardium) on CMR perfusion images and results compared well with microsphere measurements (Hsu L et al. JACC CV Imaging 2012). Furthermore, high-resolution pixel-wise CMR perfusion maps could detect transmural perfusion gradients. These methods may improve the objectivity of diagnosing CAD in patients. We have studied the consequences of imperfect surface coil intensity corrections on quantification of myocardial perfusion (Miller CA et al. JCMR 2015). We have also developed substantially better proton density weighted methods to improve the accuracy with which these surface coil intensity corrections can be applied during the calibration steps necessary for perfusion quantification (Nielles-Vallespin et al. JCMR 2015). Since 2015, we validated individual components of an automatic system for quantifying myocardial perfusion. This culminated in a paper summarizing the diagnostic accuracy of fully automatic stress perfusion CMR (Hsu 2018). These methods have also provided insight that may be useful for differentiating artifacts from true perfusion defects.

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Project End
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Budget End
Support Year
8
Fiscal Year
2018
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Indirect Cost
Name
U.S. National Heart Lung and Blood Inst
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Lu, Minjie; Wang, Shuli; Sirajuddin, Arlene et al. (2018) Dynamic stress computed tomography myocardial perfusion for detecting myocardial ischemia: A systematic review and meta-analysis. Int J Cardiol 258:325-331
Rief, Matthias; Chen, Marcus Y; Vavere, Andrea L et al. (2018) Coronary Artery Disease: Analysis of Diagnostic Performance of CT Perfusion and MR Perfusion Imaging in Comparison with Quantitative Coronary Angiography and SPECT-Multicenter Prospective Trial. Radiology 286:461-470
Ta, Allison D; Hsu, Li-Yueh; Conn, Hannah M et al. (2018) Fully quantitative pixel-wise analysis of cardiovascular magnetic resonance perfusion improves discrimination of dark rim artifact from perfusion defects associated with epicardial coronary stenosis. J Cardiovasc Magn Reson 20:16
Arai, Andrew E (2018) Quantitative Stress Perfusion Cardiac Magnetic Resonance Improves Prognostication: Crossroads for Increased Use of This Powerful Technology. JACC Cardiovasc Imaging 11:695-696
Hsu, Li-Yueh; Jacobs, Matthew; Benovoy, Mitchel et al. (2018) Diagnostic Performance of Fully Automated Pixel-Wise Quantitative Myocardial Perfusion Imaging by Cardiovascular Magnetic Resonance. JACC Cardiovasc Imaging 11:697-707
Khan, Tina Z; Hsu, Li-Yueh; Arai, Andrew E et al. (2017) Apheresis as novel treatment for refractory angina with raised lipoprotein(a): a randomized controlled cross-over trial. Eur Heart J 38:1561-1569
Sachdev, Vandana; Sidenko, Stanislav; Wu, Melinda D et al. (2017) Skeletal and myocardial microvascular blood flow in hydroxycarbamide-treated patients with sickle cell disease. Br J Haematol 179:648-656
Chen, Marcus Y; Rochitte, Carlos E; Arbab-Zadeh, Armin et al. (2017) Prognostic Value of Combined CT Angiography and Myocardial Perfusion Imaging versus Invasive Coronary Angiography and Nuclear Stress Perfusion Imaging in the Prediction of Major Adverse Cardiovascular Events: The CORE320 Multicenter Study. Radiology 284:55-65
Zhao, Chen; Sathya, Bharath; Nadal Rios, Rosa et al. (2017) Catheter-related right atrial thrombus in sickle cell disease. Clin Case Rep 5:1898-1900
Benovoy, Mitchel; Jacobs, Matthew; Cheriet, Farida et al. (2017) Robust universal nonrigid motion correction framework for first-pass cardiac MR perfusion imaging. J Magn Reson Imaging 46:1060-1072

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