Leaning heavily on PET myocardial perfusion for prognosis

JACC: Cardiovascular Imaging

Volumn 7, Issue 3, 2014, Pages 288-291

  Flachskampf, Frank A ^a   Dilsizian, Vasken ^b  

^a UPPSALA UNIVERSITY HOSPITAL   (Sweden)

^b UNIVERSITY OF MARYLAND SCHOOL OF MEDICINE   (United States)

Author keywords

cardiac death; obesity; positron emission tomography; prognosis

Indexed keywords

RUBIDIUM 82;

CARDIAC IMAGING; CARDIOVASCULAR MAGNETIC RESONANCE; CORONARY ARTERY DISEASE; CORONARY RISK; DIAGNOSTIC IMAGING; HUMAN; MYOCARDIAL PERFUSION IMAGING; NOTE; PATIENT CARE; POSITRON EMISSION TOMOGRAPHY; PRIORITY JOURNAL; PROGNOSIS; SINGLE PHOTON EMISSION COMPUTER TOMOGRAPHY; STRESS ECHOCARDIOGRAPHY; COMPLICATION; CORONARY ARTERY BLOOD FLOW; FEMALE; HEART MUSCLE ISCHEMIA; MALE; OBESITY; PROCEDURES; SCINTISCANNING;

CORONARY CIRCULATION; FEMALE; HUMANS; MALE; MYOCARDIAL ISCHEMIA; MYOCARDIAL PERFUSION IMAGING; OBESITY; POSITRON-EMISSION TOMOGRAPHY;

EID: 84896517200     PISSN: 1936878X     EISSN: 18767591     Source Type: Journal    
DOI: 10.1016/j.jcmg.2014.01.006     Document Type: Editorial

References (24)

1. Flegal KM, Carroll MD, Ogden CL, et al. Prevalence and trends in obesity among US adults 1999-2008. JAMA 2010;303:235-41.
2. Apovian CM, Gokce N. Obesity and cardiovascular disease. Circulation 2012;125:1178-82.
3. Schindler TH, Cardenas J, Prior JO, et al. Relationship between increasing body weight, insulin resistance, inflammation, adipocytokine leptin, and coronary circulatory function. J Am Coll Cardiol 2006;47:1188-95.
4. Quercioli A, Pataky Z, Montecucco F, et al. Coronary vasomotor control in obesity and morbid obesity: contrasting flow responses with endocannabinoids, leptin, and inflammation. J Am Coll Cardiol Img 2012;5:805-15.
5. Valenta I, Dilsizian V, Schelbert HR, Schindler TH. The influence of insulin-resistance, obesity and diabetes mellitus on vascular tone and myocardial blood flow. Curr Cardiol Rep 2012;14:217-25.
6. Valenta I, Dilsizian V, Querciolo A, Ambrosio G, Wahl R, Schindler TH. Impact of obesity and bariatric surgery on metabolism and coronary circulatory function. Curr Cardiol Rep 2014;16:433.
7. Laskey WK, Feinendegen LE, Neumann RD, Dilsizian V. Low-level ionizing radiation from non-invasive cardiac imaging: can we extrapolate estimated risks from epidemiologic data to the clinical setting? J Am Coll Cardiol Img 2010;3:517-24.
8. Dilsizian V, Bacharach SL, Beanlands SR, et al. ASNC imaging guidelines for nuclear cardiology procedures: PET myocardial perfusion and metabolism clinical imaging. J Nucl Card 2009;16:651.
9. Schindler TH, Schelbert HR, Quercioli A, Dilsizian V. Cardiac PET imaging for the detection and monitoring of coronary artery disease and microvascular health. J Am Coll Cardiol Img 2010;3:623-40.
10. Dilsizian V, Taillefer R. Journey in evolution of nuclear cardiology: will there be another quantum leap with the F-18 labeled myocardial perfusion tracers? J Am Coll Cardiol Img 2012;5:1269-84.
11. Dorbala S, Di Carli MF, Beanlands RS, et al. Prognostic value of stress myocardial perfusion positron emission tomography: results from a multicenter observational registry. J Am Coll Cardiol 2013;61:176-84.
12. Chow BJW, Dorbala S, Di Carli MF, et al. Prognostic value of PET myocardial perfusion imaging in obese patients. J Am Coll Cardiol Img 2014;7:278-87.
13. Duvall WL, Croft LB, Corriel, et al. SPECT myocardial perfusion imaging in morbidly obese patients: image quality, hemodynamic response to pharmacologic stress, and diagnostic and prognostic value. J Nucl Cardiol 2006;13:202-9.
14. Marwick TH. The future of echocardiography. Eur J Echocardiogr 2009;10:594-601.
15. Dewey M, Vavere AL, Arbab-Zadeh A, et al. Patient characteristics as predictors of image quality and diagnostic accuracy of MDCT compared with conventional coronary angiography for detecting coronary artery stenoses: CORE-64 Multicenter International Trial. AJR Am J Roentgenol 2010;194:93-102.
16. Leschka S, Stinn B, Schmid F, et al. Dual source CT coronary angiography in severely obese patients: trading off temporal resolution and image noise. Invest Radiol 2009;44:720-7.
17. Pencina MJ, D' Agostino RB Sr., D'Agostino RB Jr., Vasan RS. Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond. Stat Med 2008;27:157-72. (Pubitemid 351193639)
18. Cook NR, Ridker PM. Advances in measuring the effect of individual predictors of cardiovascular risk: the role of reclassification measures. Ann Intern Med 2009;150:795-802.
19. Pencina MJ, D' Agostino RB Sr., Steyerberg EW. Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers. Stat Med 2011;30:11-21.
20. Cook NR, Paynter NP. Comments on "Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers" by M. J. Pencina, R. B. D'Agostino, Sr. and E. W. Steyerberg. Stat Med 2012;31:93-5.
21. Mühlenbruch K, Heraclides A, Steyerberg EW, Joost HG, Boeing H, Schulze MB. Assessing improvement in disease prediction using net reclassification improvement: impact of risk cut-offs and number of risk categories. Eur J Epidemiol 2013;28:25-33.
22. Lavie CJ, Milani RV, Ventura HO. Obesity and cardiovascular disease: risk factor, paradox, and impact of weight loss. J Am Coll Cardiol 2009;53:1925-32.
23. Tobias DK, Pan A, Jackson CL, et al. Body-mass index and mortality among adults with incident type 2 diabetes. N Engl J Med 2014;370:233-44.
24. Dilsizian V, Chandrashekhar Y, Narula J. Introduction of new tests: low are the mountains, high the expectations. J Am Coll Cardiol Img 2010;3:117-9.