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For: Moody JB, Lee BC, Corbett JR, Ficaro EP, Murthy VL. Precision and accuracy of clinical quantification of myocardial blood flow by dynamic PET: A technical perspective. J Nucl Cardiol 2015;22:935-51. [PMID: 25868451 DOI: 10.1007/s12350-015-0100-0] [Cited by in Crossref: 53] [Cited by in F6Publishing: 36] [Article Influence: 6.6] [Reference Citation Analysis]
Number Citing Articles
1 Siekkinen R, Han C, Maaniitty T, Teräs M, Knuuti J, Saraste A, Teuho J. A retrospective evaluation of Bayesian-penalized likelihood reconstruction for [(15)O]H(2)O myocardial perfusion imaging. J Nucl Cardiol 2023. [PMID: 36656496 DOI: 10.1007/s12350-022-03164-5] [Reference Citation Analysis]
2 Kamani CH, Prior J. Are we good enough in the evaluation of MPI using Rubidium82 with PMT PET/CT? A comparison to SiPM PET/CT. J Nucl Cardiol 2022;29:213-215. [DOI: 10.1007/s12350-020-02169-2] [Reference Citation Analysis]
3 Marengo M, Martin CJ, Rubow S, Sera T, Amador Z, Torres L. Radiation Safety and Accidental Radiation Exposures in Nuclear Medicine. Semin Nucl Med 2021:S0001-2998(21)00093-3. [PMID: 34916044 DOI: 10.1053/j.semnuclmed.2021.11.006] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 1.5] [Reference Citation Analysis]
4 Siekkinen R, Kirjavainen AK, Koskensalo K, Smith NAS, Fenwick A, Saunavaara V, Tolvanen T, Iida H, Saraste A, Teräs M, Teuho J. Assessment of a digital and an analog PET/CT system for accurate myocardial perfusion imaging with a flow phantom. J Nucl Cardiol 2021. [PMID: 33948894 DOI: 10.1007/s12350-021-02631-9] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.5] [Reference Citation Analysis]
5 Soares Junior J. Cardiac PET Procedure: Perfusion, Coronary Flow, Viability, Inflammation, and PET/MR. Nuclear Cardiology 2021. [DOI: 10.1007/978-3-030-62195-7_1] [Reference Citation Analysis]
6 Sciagrà R, Lubberink M, Hyafil F, Saraste A, Slart RHJA, Agostini D, Nappi C, Georgoulias P, Bucerius J, Rischpler C, Verberne HJ; Cardiovascular Committee of the European Association of Nuclear Medicine (EANM). EANM procedural guidelines for PET/CT quantitative myocardial perfusion imaging. Eur J Nucl Med Mol Imaging 2021;48:1040-69. [PMID: 33135093 DOI: 10.1007/s00259-020-05046-9] [Cited by in Crossref: 27] [Cited by in F6Publishing: 14] [Article Influence: 9.0] [Reference Citation Analysis]
7 Renaud JM, Moody JB, Ficaro EP. Letter to the editor: Lassen et al. 3D PET/CT 82Rb PET myocardial blood flow quantification: comparison of half-dose and full-dose protocols. Eur J Nucl Med Mol Imaging 2020;47:2729-2730. [DOI: 10.1007/s00259-020-04950-4] [Cited by in Crossref: 1] [Article Influence: 0.3] [Reference Citation Analysis]
8 Slomka PJ, Moody JB, Miller RJH, Renaud JM, Ficaro EP, Garcia EV. Quantitative clinical nuclear cardiology, part 2: Evolving/emerging applications. J Nucl Med 2021;62:168-76. [PMID: 33067339 DOI: 10.2967/jnumed.120.242537] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.7] [Reference Citation Analysis]
9 Slomka PJ, Moody JB, Miller RJH, Renaud JM, Ficaro EP, Garcia EV. Quantitative clinical nuclear cardiology, part 2: Evolving/emerging applications. J Nucl Cardiol 2021;28:115-27. [PMID: 33067750 DOI: 10.1007/s12350-020-02337-4] [Cited by in Crossref: 6] [Cited by in F6Publishing: 8] [Article Influence: 2.0] [Reference Citation Analysis]
10 Zuo Y, Badawi RD, Foster CC, Smith T, López JE, Wang G. Multiparametric Cardiac 18F-FDG PET in Humans: Kinetic Model Selection and Identifiability Analysis. IEEE Trans Radiat Plasma Med Sci 2020;4:759-67. [PMID: 33778234 DOI: 10.1109/trpms.2020.3031274] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 1.3] [Reference Citation Analysis]
11 Siekkinen R, Teuho J, Smith NAS, Fenwick A, Kirjavainen AK, Koskensalo K, Saraste A, Teräs M. Study of the Effect of Reconstruction Parameters for Myocardial Perfusion Imaging in PET With a Novel Flow Phantom. Front Phys 2020;8. [DOI: 10.3389/fphy.2020.00148] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
12 Pryma DA. Current Status and Future Directions of PET in Clinical Practice. Advances in PET 2020. [DOI: 10.1007/978-3-030-43040-5_2] [Reference Citation Analysis]
13 Armstrong IS, Memmott MJ. A tale of two phases: Can the worst of scans become the best of scans with motion correction? J Nucl Cardiol 2019;26:1930-1933. [DOI: 10.1007/s12350-018-1305-9] [Reference Citation Analysis]
14 Poitrasson-Rivière A, Murthy VL. Optimizing accuracy and precision with motion correction of PET myocardial blood flow measurements. J Nucl Cardiol 2021;28:1726-9. [PMID: 31646472 DOI: 10.1007/s12350-019-01927-1] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
15 Siekkinen R, Teuho J, Kirjavainen AK, Koskensalo K, Saraste A, Teras M. Study of Repeatability of a Novel PET Flow Phantom. 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) 2019. [DOI: 10.1109/nss/mic42101.2019.9060065] [Reference Citation Analysis]
16 Armstrong IS, Memmott MJ, Saint KJ, Saillant A, Hayden C, Arumugam P. Assessment of motion correction in dynamic rubidium-82 cardiac PET with and without frame-by-frame adjustment of attenuation maps for calculation of myocardial blood flow. J Nucl Cardiol 2021;28:1334-46. [DOI: 10.1007/s12350-019-01834-5] [Cited by in Crossref: 12] [Cited by in F6Publishing: 10] [Article Influence: 3.0] [Reference Citation Analysis]
17 Pelletier-galarneau M, Ruddy TD. The potential for PET-guided revascularization of coronary artery disease. Eur J Nucl Med Mol Imaging 2019;46:1218-1221. [DOI: 10.1007/s00259-019-04316-5] [Cited by in Crossref: 1] [Article Influence: 0.3] [Reference Citation Analysis]
18 von Felten E, Giannopoulos AA. Myocardial Creep: we can now look it in the eye without framewise PET-CT registration for myocardial blood flow quantification. J Nucl Cardiol 2019;26:747-8. [PMID: 30919270 DOI: 10.1007/s12350-019-01695-y] [Reference Citation Analysis]
19 Moody JB, Hiller KM, Lee BC, Poitrasson-rivière A, Corbett JR, Weinberg RL, Murthy VL, Ficaro EP. The utility of 82Rb PET for myocardial viability assessment: Comparison with perfusion-metabolism 82Rb-18F-FDG PET. J Nucl Cardiol 2019;26:374-86. [DOI: 10.1007/s12350-019-01615-0] [Cited by in Crossref: 15] [Cited by in F6Publishing: 15] [Article Influence: 3.8] [Reference Citation Analysis]
20 Koenders SS, van Dijk JD, Jager PL, Ottervanger JP, Slump CH, van Dalen JA. How to detect and correct myocardial creep in myocardial perfusion imaging using Rubidium-82 PET? J Nucl Cardiol 2019;26:729-34. [PMID: 30788759 DOI: 10.1007/s12350-019-01650-x] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.3] [Reference Citation Analysis]
21 Klein R, deKemp RA. <sup>82</sup>Rb is the Best Flow Tracer for High-volume Sites. Annals of Nuclear Cardiology 2019;5:53-62. [DOI: 10.17996/anc.19-00105] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 0.8] [Reference Citation Analysis]
22 Rimoldi O. Striving to improve 82Rubidium PET MPI accuracy. J Nucl Cardiol 2019;26:1943-5. [DOI: 10.1007/s12350-018-1419-0] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.2] [Reference Citation Analysis]
23 Han S, Kim Y, Ahn J, Kang S, Oh JS, Shin E, Sung C, Chae SY, Park S, Grimberg G, Kovalski G, Moon DH. Feasibility of dynamic stress 201Tl/rest 99mTc-tetrofosmin single photon emission computed tomography for quantification of myocardial perfusion reserve in patients with stable coronary artery disease. Eur J Nucl Med Mol Imaging 2018;45:2173-80. [DOI: 10.1007/s00259-018-4057-5] [Cited by in Crossref: 23] [Cited by in F6Publishing: 15] [Article Influence: 4.6] [Reference Citation Analysis]
24 Saraste A, Ukkonen H, Knuuti J. Protection of coronary circulation: Evaluation by PET perfusion imaging. J Nucl Cardiol 2018;25:897-899. [DOI: 10.1007/s12350-016-0765-z] [Reference Citation Analysis]
25 Piccinelli M, Votaw JR, Garcia EV. Motion Correction and Its Impact on Absolute Myocardial Blood Flow Measures with PET. Curr Cardiol Rep 2018;20:34. [PMID: 29574494 DOI: 10.1007/s11886-018-0977-8] [Cited by in Crossref: 15] [Cited by in F6Publishing: 9] [Article Influence: 3.0] [Reference Citation Analysis]
26 Shi X, Li N, Ding H, Dang Y, Hu G, Liu S, Cui J, Zhang Y, Li F, Zhang H, Huo L. Comparison among Reconstruction Algorithms for Quantitative Analysis of 11C-Acetate Cardiac PET Imaging. Contrast Media Mol Imaging 2018;2018:9193403. [PMID: 29681784 DOI: 10.1155/2018/9193403] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.2] [Reference Citation Analysis]
27 Klein R. Initial Steps to Tracer Kinetic Modeling and MBF Quantification. Annals of Nuclear Cardiology 2018;4:68-73. [DOI: 10.17996/anc.18-00052] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.4] [Reference Citation Analysis]
28 Murthy VL, Bateman TM, Beanlands RS, Berman DS, Borges-Neto S, Chareonthaitawee P, Cerqueira MD, deKemp RA, DePuey EG, Dilsizian V, Dorbala S, Ficaro EP, Garcia EV, Gewirtz H, Heller GV, Lewin HC, Malhotra S, Mann A, Ruddy TD, Schindler TH, Schwartz RG, Slomka PJ, Soman P, Di Carli MF; SNMMI Cardiovascular Council Board of Directors., ASNC Board of Directors. Clinical Quantification of Myocardial Blood Flow Using PET: Joint Position Paper of the SNMMI Cardiovascular Council and the ASNC. J Nucl Med 2018;59:273-93. [PMID: 29242396 DOI: 10.2967/jnumed.117.201368] [Cited by in Crossref: 101] [Cited by in F6Publishing: 102] [Article Influence: 16.8] [Reference Citation Analysis]
29 Murthy VL, Bateman TM, Beanlands RS, Berman DS, Borges-neto S, Chareonthaitawee P, Cerqueira MD, deKemp RA, Depuey EG, Dilsizian V, Dorbala S, Ficaro EP, Garcia EV, Gewirtz H, Heller GV, Lewin HC, Malhotra S, Mann A, Ruddy TD, Schindler TH, Schwartz RG, Slomka PJ, Soman P, Di Carli MF, Einstein A, Russell R, Corbett JR. Clinical Quantification of Myocardial Blood Flow Using PET: Joint Position Paper of the SNMMI Cardiovascular Council and the ASNC. J Nucl Cardiol 2018;25:269-97. [DOI: 10.1007/s12350-017-1110-x] [Cited by in Crossref: 117] [Cited by in F6Publishing: 120] [Article Influence: 19.5] [Reference Citation Analysis]
30 O' Doherty J, Chalampalakis Z, Schleyer P, Nazir MS, Chiribiri A, Marsden PK. The effect of high count rates on cardiac perfusion quantification in a simultaneous PET-MR system using a cardiac perfusion phantom. EJNMMI Phys 2017;4:31. [PMID: 29230607 DOI: 10.1186/s40658-017-0199-y] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 1.3] [Reference Citation Analysis]
31 Votaw JR, Packard RRS. Technical aspects of acquiring and measuring myocardial blood flow: Method, technique, and QA. J Nucl Cardiol 2018;25:665-70. [PMID: 28864981 DOI: 10.1007/s12350-017-1049-y] [Cited by in Crossref: 13] [Cited by in F6Publishing: 13] [Article Influence: 2.2] [Reference Citation Analysis]
32 Saraste A, Knuuti J. SPECT but not PET remains as the working horse of the state of the art nuclear cardiac imaging laboratory: Con. J Nucl Cardiol 2018;25:198-202. [PMID: 28762094 DOI: 10.1007/s12350-017-1003-z] [Reference Citation Analysis]
33 Lassen ML, Muzik O, Beyer T, Hacker M, Ladefoged CN, Cal-González J, Wadsak W, Rausch I, Langer O, Bauer M. Reproducibility of Quantitative Brain Imaging Using a PET-Only and a Combined PET/MR System. Front Neurosci 2017;11:396. [PMID: 28769742 DOI: 10.3389/fnins.2017.00396] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 0.8] [Reference Citation Analysis]
34 Lee JS, Kovalski G, Sharir T, Lee DS. Advances in imaging instrumentation for nuclear cardiology. J Nucl Cardiol 2019;26:543-56. [DOI: 10.1007/s12350-017-0979-8] [Cited by in Crossref: 13] [Cited by in F6Publishing: 14] [Article Influence: 2.2] [Reference Citation Analysis]
35 Klein R, Ocneanu A, deKemp RA. Time-frame sampling for 82Rb PET flow quantification: Towards standardization of clinical protocols. J Nucl Cardiol 2017;24:1530-4. [PMID: 28687966 DOI: 10.1007/s12350-017-0981-1] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 1.0] [Reference Citation Analysis]
36 Lee BC, Moody JB, Weinberg RL, Corbett JR, Ficaro EP, Murthy VL. Optimization of temporal sampling for 82rubidium PET myocardial blood flow quantification. J Nucl Cardiol 2017;24:1517-29. [PMID: 28508271 DOI: 10.1007/s12350-017-0899-7] [Cited by in Crossref: 19] [Cited by in F6Publishing: 13] [Article Influence: 3.2] [Reference Citation Analysis]
37 Saraste A, Knuuti J. PET imaging in heart failure: the role of new tracers. Heart Fail Rev 2017;22:501-11. [DOI: 10.1007/s10741-017-9620-9] [Cited by in Crossref: 12] [Cited by in F6Publishing: 8] [Article Influence: 2.0] [Reference Citation Analysis]
38 Ziadi MC. Myocardial flow reserve (MFR) with positron emission tomography (PET)/computed tomography (CT): clinical impact in diagnosis and prognosis. Cardiovasc Diagn Ther 2017;7:206-18. [PMID: 28540215 DOI: 10.21037/cdt.2017.04.10] [Cited by in Crossref: 34] [Cited by in F6Publishing: 36] [Article Influence: 5.7] [Reference Citation Analysis]
39 AlJaroudi WA, Lloyd SG, Chaudhry FA, Hage FG. Multi-modality imaging: Bird's eye view from the 2016 American Heart Association Scientific Sessions. J Nucl Cardiol 2017;24:946-51. [PMID: 28205073 DOI: 10.1007/s12350-017-0822-2] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 0.7] [Reference Citation Analysis]
40 Case J. Accurate myocardial blood flow measurements: Quality from start to finish is key to success. J Nucl Cardiol 2018;25:942-6. [DOI: 10.1007/s12350-016-0690-1] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.3] [Reference Citation Analysis]
41 Taqueti VR, Di Carli MF. Clinical significance of noninvasive coronary flow reserve assessment in patients with ischemic heart disease. Current Opinion in Cardiology 2016;31:662-9. [DOI: 10.1097/hco.0000000000000339] [Cited by in Crossref: 29] [Cited by in F6Publishing: 31] [Article Influence: 4.1] [Reference Citation Analysis]
42 Moncayo VM, Garcia EV. Prompt-gamma compensation in Rb-82 myocardial perfusion 3D PET/CT: Effect on clinical practice. J Nucl Cardiol 2018;25:606-8. [PMID: 27659456 DOI: 10.1007/s12350-016-0672-3] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 0.6] [Reference Citation Analysis]
43 deKemp RA, Klein R, Beanlands RS. (82)Rb PET imaging of myocardial blood flow-have we achieved the 4 "R"s to support routine use? EJNMMI Res 2016;6:69. [PMID: 27650281 DOI: 10.1186/s13550-016-0225-4] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 0.4] [Reference Citation Analysis]
44 Armstrong IS, Memmott MJ, Tonge CM, Arumugam P. The impact of prompt gamma compensation on myocardial blood flow measurements with rubidium-82 dynamic PET. J Nucl Cardiol 2018;25:596-605. [PMID: 27624818 DOI: 10.1007/s12350-016-0583-3] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 0.9] [Reference Citation Analysis]
45 Slomka PJ, Alessio AM, Germano G. How to reconstruct dynamic cardiac PET data? J Nucl Cardiol 2017;24:291-3. [PMID: 27473215 DOI: 10.1007/s12350-016-0608-y] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.1] [Reference Citation Analysis]
46 Yoshinaga K, Manabe O, Tamaki N. Absolute quantification of myocardial blood flow. J Nucl Cardiol 2018;25:635-51. [DOI: 10.1007/s12350-016-0591-3] [Cited by in Crossref: 19] [Cited by in F6Publishing: 14] [Article Influence: 2.7] [Reference Citation Analysis]
47 O' Doherty J, McGowan DR, Abreu C, Barrington S. Effect of Bayesian-penalized likelihood reconstruction on [13N]-NH3 rest perfusion quantification. J Nucl Cardiol 2017;24:282-90. [PMID: 27435278 DOI: 10.1007/s12350-016-0554-8] [Cited by in Crossref: 10] [Cited by in F6Publishing: 11] [Article Influence: 1.4] [Reference Citation Analysis]
48 Sciagrà R, Passeri A, Bucerius J, Verberne HJ, Slart RH, Lindner O, Gimelli A, Hyafil F, Agostini D, Übleis C, Hacker M; Cardiovascular Committee of the European Association of Nuclear Medicine (EANM). Clinical use of quantitative cardiac perfusion PET: rationale, modalities and possible indications. Position paper of the Cardiovascular Committee of the European Association of Nuclear Medicine (EANM). Eur J Nucl Med Mol Imaging 2016;43:1530-45. [PMID: 26846913 DOI: 10.1007/s00259-016-3317-5] [Cited by in Crossref: 40] [Cited by in F6Publishing: 30] [Article Influence: 5.7] [Reference Citation Analysis]
49 Nesterov SV, Lee BC, Moody JB, Slomka P, Han C, Knuuti JM. The Status and Future of PET Myocardial Blood Flow Quantification Software. Annals of Nuclear Cardiology 2016;2:106-110. [DOI: 10.17996/anc.02.01.106] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 1.3] [Reference Citation Analysis]