1. Hasani WSR, Muhamad NA, Hanis TM & et al. The global estimate of premature cardiovascular mortality: a systematic review and meta-analysis of age-standardized mortality rate. BMC Public Health 2023; 16; 23(1): 1561. [
DOI]
2. Srikanthan P, Horwich TB, Calfon Press M & et al. Sex Differences in the Association of Body Composition and Cardiovascular Mortality. J Am Heart Assoc 2021; 10(5): e017511. [
DOI]
3. Bashar H, Kobo O, Khunti K & et al. Impact of Social Vulnerability on Diabetes-Related Cardiovascular Mortality in the United States. J Am Heart Assoc 2023; 12(21): e029649. [
DOI]
4. Heo R, Nakazato R, Kalra D & et al. Noninvasive imaging in coronary artery disease. Semin Nucl Med 2014; 44(5): 398-409. [
DOI]
5. Henzlova MJ, Duvall WL, Einstein AJ & et al. ASNC Imaging Guidelines for SPECT Nuclear Cardiology Procedures: Stress, Protocols, and Tracers. J Nucl Cardiol 2016; 23(3): 606-639. [
DOI]
6. Hellsten Y, Nyberg M, Jensen LG & et al. Vasodilator interactions in skeletal muscle blood flow regulation. J Physiol 2012; 590(24): 6297-305. [
DOI]
7. Leppo JA. Dipyridamole myocardial perfusion imaging. J Nucl Med 1994; 35(4): 730-3. [
Article]
8. AlJaroudi W, Campagnoli T, Fughhi I & et al. Prognostic value of heart rate response during regadenoson stress myocardial perfusion imaging in patients with end stage renal disease. J Nucl Cardiol 2016; 23(3): 560-9. [
DOI]
9. Abidov A, Hachamovitch R, Hayes SW & et al. Prognostic impact of hemodynamic response to adenosine in patients older than age 55 years undergoing vasodilator stress myocardial perfusion study. Circulation 2003; 107(23): 2894-9. [
DOI]
10. Hage FG, Dean P, Iqbal F & et al. A blunted heart rate response to regadenoson is an independent prognostic indicator in patients undergoing myocardial perfusion imaging. J Nucl Cardiol 2011; 18(6): 1086-94. [
DOI]
11. Aaty A, Al Fattah AA, Allam AH. Each Nuclear Cardiology lab should have its own lower limit of normal for functional parameters: True or False?. J Nucl Cardiol 2018; 25(2): 661–664. [
DOI]
12. Cortigiani L, Carpeggiani C, Meola L & et al. Reduced Sympathetic Reserve Detectable by Heart Rate Response after Dipyridamole in Anginal Patients with Normal Coronary Arteries. J Clin Med 2022; 11(1): 52. [
DOI]
13. Bhatheja R, Francis GS, Pothier CE & et al. Heart Rate Response during Dipyridamole Stress as a Predictor of Mortality in Patients with Normal Myocardial Perfusion and Normal Electrocardiograms. Am J Cardiol 2005; 95(10): 1159-64. [
DOI]
14. Gebhard C, Messerli M, Lohmann C & et al. Sex and age differences in the association of heart rate responses to adenosine and myocardial ischemia in patients undergoing myocardial perfusion imaging. J Nucl Cardiol 2020; 27(1): 159-70. [
DOI]
15. Maleki F, Ghaedian T. Correlation of heart rate response to dipyridamole stress during SPECT myocardial perfusion imaging with clinical factors. Iranian Journal of Nuclear Medicine 2024; 32(1): 33-39. [
DOI]
16. Choi S, Baudot M, Vivas O & et al. Slowing down as we age: aging of the cardiac pacemaker’s neural control. GeroScience 2022; 44(1): 1–17. [
DOI]
17. Nappi C, Assante R, Zampella E & et al. Relationship between heart rate response and cardiac innervation in patients with suspected or known coronary artery disease. J Nucl Cardiol 2021; 28(6): 2676-83. [
DOI]
18. Kamal A, Hassan E, Azab S & et al. Reduced Heart Rate Response during Drug-Induced Stress Is Related to the Severity of Perfusion Defect. WJCD 2021; 11(11): 539- 51. [
DOI]
19. Aaty AA, El-DeenZaky AT, Lotfy MI & et al. Heart Rate Response to Dypiridamole Stress in Relation to Perfusion and Function during Gated Technecium Tc99 M Sestamibi SPECT Study. JCCR 2015; 2(3): 00063. [
DOI]
20. Palatini P. Resting heart rate as a cardiovascular risk factor in hypertensive patients: an update. Am J Hypertens 2021; 34(4): 307–17. [
DOI]
21. Omlor AJ, Trudzinski FC, Alqudrah M & et al. Time-updated resting heart rate predicts mortality in patients with COPD. Clin Res Cardiol 2020; 109(6): 776–86. [
DOI]
22. Kamimura D, Tamura K. Resting heart rate as a possible biomarker and target to prevent future cardiovascular disease in type 2 diabetes patients (HTR-2023-0066.R2). Hypertens Res 2023; 46(5): 1160- 1162. [
DOI]
23. Ghaedian T, Mirzaei M, Ghaedian MM. Relationship between Baseline ECG Abnormalities and Quantitative Perfusion Parameters of Myocardial Perfusion Findings. Iran South Med J 2020; 22(6): 381-91. [
Article]
24. Bajaj NS, Singh S, Farag A & et al. The prognostic value of non-perfusion variables obtained during vasodilator stress myocardial perfusion imaging. J. Nucl Cardiol 2016; 23(3): 390-413. [
DOI]
25. Katsikis A, Theodorakos A, Papaioannou S & et al. Adenosine stress myocardial perfusion imaging in octogenarians: Safety, tolerability, and long-term prognostic implications of hemodynamic response and SPECTrelated variables 2019; J Nucl Cardiol 26(1): 250-62. [
DOI]
26. Bian J, Herzog CA, Rangaswami J & et al. Lung sestamibi uptake on myocardial perfusion imaging and outcomes in chronic kidney disease. Cardiorenal Medicine 2021; 11(1): 67-76. [
DOI]
27. Xu J, Cai F, Geng C & et al. Diagnostic Performance of CMR, SPECT, and PET Imaging for the Identification of Coronary Artery Disease: A Meta-Analysis. Front Cardiovasc Med 2021; 8: 621389. [
DOI]
28. Patel M, Bui L, Kirkeeide R. et al. Imaging Microvascular Dysfunction and Mechanisms for Female-Male Differences in CAD. JACC Cardiovasc Imaging 2016; 9(4): 465-82. [
DOI]
29. Imoto A, Tateishi E, Murakawa K & et al. Lung-to-heart ratio analysis using virtual planar images obtained from myocardial perfusion SPECT data: A phantom and clinical studies. J Nucl Cardiol 2023; 30(5): 1959-67. [
DOI]
30. Erol M, Tezcan H, Duran M & et al. The role of myocardial perfusion imaging in predicting myocardial ischemia in patients diagnosed with long COVID. Int J Cardiovasc Imaging 2023; 39(11): 2279-84. [
DOI]