Harvard Catalyst Profiles

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Raymond Yan-Kit Kwong, M.D.

Co-Author

This page shows the publications co-authored by Raymond Kwong and Marcelo Di Carli.
Connection Strength

2.529
  1. Diagnostic Accuracy of Advanced Imaging in Cardiac Sarcoidosis. Circ Cardiovasc Imaging. 2019 06; 12(6):e008975.
    View in: PubMed
    Score: 0.211
  2. Myocardial blood flow quantification for evaluation of coronary artery disease by positron emission tomography, cardiac magnetic resonance imaging, and computed tomography. Curr Cardiol Rep. 2014 May; 16(5):483.
    View in: PubMed
    Score: 0.148
  3. Cardiac positron emission tomography enhances prognostic assessments of patients with suspected cardiac sarcoidosis. J Am Coll Cardiol. 2014 Feb 04; 63(4):329-36.
    View in: PubMed
    Score: 0.143
  4. Stress cardiac magnetic resonance imaging provides effective cardiac risk reclassification in patients with known or suspected stable coronary artery disease. Circulation. 2013 Aug 06; 128(6):605-14.
    View in: PubMed
    Score: 0.140
  5. Insights into left ventricular remodeling through noninvasive measures of myocardial matrix expansion with cardiovascular magnetic resonance. Circulation. 2012 Sep 04; 126(10):1179-81.
    View in: PubMed
    Score: 0.132
  6. Stress myocardial perfusion imaging by CMR provides strong prognostic value to cardiac events regardless of patient's sex. JACC Cardiovasc Imaging. 2011 Aug; 4(8):850-61.
    View in: PubMed
    Score: 0.122
  7. Incremental prognostic value of gated Rb-82 positron emission tomography myocardial perfusion imaging over clinical variables and rest LVEF. JACC Cardiovasc Imaging. 2009 Jul; 2(7):846-54.
    View in: PubMed
    Score: 0.106
  8. Quantitative relationship between coronary calcium content and coronary flow reserve as assessed by integrated PET/CT imaging. Eur J Nucl Med Mol Imaging. 2009 Oct; 36(10):1603-10.
    View in: PubMed
    Score: 0.104
  9. Interrelation of coronary calcification, myocardial ischemia, and outcomes in patients with intermediate likelihood of coronary artery disease: a combined positron emission tomography/computed tomography study. Circulation. 2008 Apr 01; 117(13):1693-700.
    View in: PubMed
    Score: 0.097
  10. Relationship between CT coronary angiography and stress perfusion imaging in patients with suspected ischemic heart disease assessed by integrated PET-CT imaging. J Nucl Cardiol. 2007 Nov-Dec; 14(6):799-809.
    View in: PubMed
    Score: 0.094
  11. Value of vasodilator left ventricular ejection fraction reserve in evaluating the magnitude of myocardium at risk and the extent of angiographic coronary artery disease: a 82Rb PET/CT study. J Nucl Med. 2007 Mar; 48(3):349-58.
    View in: PubMed
    Score: 0.090
  12. Diagnostic accuracy of rubidium-82 myocardial perfusion imaging with hybrid positron emission tomography/computed tomography in the detection of coronary artery disease. J Am Coll Cardiol. 2007 Mar 13; 49(10):1052-8.
    View in: PubMed
    Score: 0.090
  13. Right ventricular dysfunction assessed by cardiovascular magnetic resonance imaging predicts poor prognosis late after myocardial infarction. J Am Coll Cardiol. 2007 Feb 27; 49(8):855-62.
    View in: PubMed
    Score: 0.090
  14. Characterization of the peri-infarct zone by contrast-enhanced cardiac magnetic resonance imaging is a powerful predictor of post-myocardial infarction mortality. Circulation. 2006 Jul 04; 114(1):32-9.
    View in: PubMed
    Score: 0.086
  15. A Policy Statement on Cardiovascular Test Substitution and Authorization: Principles of Patient-Centered Noninvasive Testing. J Am Coll Cardiol. 2021 Sep 28; 78(13):1385-1389.
    View in: PubMed
    Score: 0.062
  16. Multimodality imaging to distinguish between benign and malignant cardiac masses. J Nucl Cardiol. 2021 Sep 02.
    View in: PubMed
    Score: 0.062
  17. Improved Quantification of Cardiac Amyloid Burden in Systemic Light Chain Amyloidosis: Redefining Early Disease? JACC Cardiovasc Imaging. 2020 06; 13(6):1325-1336.
    View in: PubMed
    Score: 0.056
  18. ACCF/ASNC/ACR/AHA/ASE/SCCT/SCMR/SNM 2009 appropriate use criteria for cardiac radionuclide imaging: a report of the American College of Cardiology Foundation Appropriate Use Criteria Task Force, the American Society of Nuclear Cardiology, the American College of Radiology, the American Heart Association, the American Society of Echocardiography, the Society of Cardiovascular Computed Tomography, the Society for Cardiovascular Magnetic Resonance, and the Society of Nuclear Medicine. Circulation. 2009 Jun 09; 119(22):e561-87.
    View in: PubMed
    Score: 0.052
  19. Assessment of Cardiac Masses by Cardiac Magnetic Resonance Imaging: Histological Correlation and Clinical Outcomes. J Am Heart Assoc. 2019 01 08; 8(1):e007829.
    View in: PubMed
    Score: 0.051
  20. Sex Differences in Coronary Microvascular Function in Individuals With Type 2 Diabetes. Diabetes. 2019 03; 68(3):631-636.
    View in: PubMed
    Score: 0.051
  21. Relative Apical Sparing of Myocardial Longitudinal Strain Is Explained by Regional Differences in Total Amyloid Mass Rather Than the Proportion of Amyloid Deposits. JACC Cardiovasc Imaging. 2019 07; 12(7 Pt 1):1165-1173.
    View in: PubMed
    Score: 0.050
  22. Complementary Value of Cardiac Magnetic Resonance Imaging and Positron Emission Tomography/Computed Tomography in the Assessment of Cardiac Sarcoidosis. Circ Cardiovasc Imaging. 2018 01; 11(1):e007030.
    View in: PubMed
    Score: 0.048
  23. Defining Quality in Cardiovascular Imaging: A Scientific Statement From the American Heart Association. Circ Cardiovasc Imaging. 2017 Dec; 10(12).
    View in: PubMed
    Score: 0.047
  24. Plasminogen Activator Inhibitor-1 and Pericardial Fat in Individuals with Type 2 Diabetes Mellitus. Metab Syndr Relat Disord. 2017 08; 15(6):269-275.
    View in: PubMed
    Score: 0.046
  25. Presence of Late Gadolinium Enhancement by Cardiac Magnetic Resonance Among Patients With Suspected Cardiac Sarcoidosis Is Associated With Adverse Cardiovascular Prognosis: A Systematic Review and Meta-Analysis. Circ Cardiovasc Imaging. 2016 Sep; 9(9):e005001.
    View in: PubMed
    Score: 0.043
  26. Increased microvascularization and vessel permeability associate with active inflammation in human atheromata. Circ Cardiovasc Imaging. 2014 Nov; 7(6):920-9.
    View in: PubMed
    Score: 0.038
  27. Mineralocorticoid receptor blockade improves coronary microvascular function in individuals with type 2 diabetes. Diabetes. 2015 Jan; 64(1):236-42.
    View in: PubMed
    Score: 0.038
  28. Feasibility study of electrocardiographic and respiratory gated, gadolinium enhanced magnetic resonance angiography of pulmonary veins and the impact of heart rate and rhythm on study quality. J Cardiovasc Magn Reson. 2014 Jun 19; 16:43.
    View in: PubMed
    Score: 0.037
  29. Comparison of the use of downstream tests after exercise treadmill testing by cardiologists versus noncardiologists. Am J Cardiol. 2014 Jul 15; 114(2):305-11.
    View in: PubMed
    Score: 0.037
  30. Yield of downstream tests after exercise treadmill testing: a prospective cohort study. J Am Coll Cardiol. 2014 Apr 08; 63(13):1264-1274.
    View in: PubMed
    Score: 0.036
  31. Detection of obstructive coronary artery disease using regadenoson stress and 82Rb PET/CT myocardial perfusion imaging. J Nucl Med. 2013 Oct; 54(10):1748-54.
    View in: PubMed
    Score: 0.035
  32. Aldosterone and myocardial extracellular matrix expansion in type 2 diabetes mellitus. Am J Cardiol. 2013 Jul 01; 112(1):73-8.
    View in: PubMed
    Score: 0.034
  33. Cardiomyopathy of uncertain etiology: Complementary role of multimodality imaging with cardiac MRI and 18FDG PET. J Nucl Cardiol. 2010 Apr; 17(2):328-32.
    View in: PubMed
    Score: 0.028
  34. Multimodality imaging of an unusual case of cardiac paraganglioma. J Nucl Cardiol. 2009 Jul-Aug; 16(4):644-7.
    View in: PubMed
    Score: 0.026
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.