Skip to main content
Erschienen in: Journal of Nuclear Cardiology 6/2019

19.11.2018 | Editorial

Myocardial blood flow measures using cardiac positron emission tomography: Software comparisons

verfasst von: Navkaranbir S. Bajaj, MD, MPH, Fadi G. Hage, MD, Jonathan McConathy, MD, PhD, Pradeep Bhambhvani, MD

Erschienen in: Journal of Nuclear Cardiology | Ausgabe 6/2019

Einloggen, um Zugang zu erhalten

Excerpt

Assessment of myocardial perfusion under stress and rest conditions using various imaging modalities is the mainstay in the workup of coronary artery disease. Traditionally, the presence of relative regional perfusion defects has been the central concept behind myocardial perfusion imaging. Regional perfusion analysis is imperfect due to its relative nature, because the presence, severity, and extent of perfusion defects do not account for possible differences in absolute myocardial blood flow (MBF) at rest or stress. For example, if absolute flow is impaired globally (e.g., triple vessel disease), a comparison of the best and worst perfused regions will underestimate the severity of flow-limiting disease. Hence, information about absolute MBF and myocardial flow reserve (MFR) is desirable.1 Single-photon emission computerized tomography-myocardial perfusion imaging (SPECT-MPI) has traditionally been the workhorse for relative perfusion imaging, but several studies have shown that relative perfusion imaging may underestimate extent of disease.2,3 Furthermore, the 99mTc flow tracers available for SPECT-MPI are limited by a relatively low first-pass extraction fraction at high flow rates, thus limiting the precision and accuracy of these tracers for estimation of myocardial perfusion especially during stress.4
Literatur
1.
Zurück zum Zitat Bengel FM. Leaving relativity behind: quantitative clinical perfusion imaging. J Am Coll Cardiol 2011;58:749-51.CrossRef Bengel FM. Leaving relativity behind: quantitative clinical perfusion imaging. J Am Coll Cardiol 2011;58:749-51.CrossRef
2.
Zurück zum Zitat Lima RS, Watson DD, Goode AR, et al. Incremental value of combined perfusion and function over perfusion alone by gated SPECT myocardial perfusion imaging for detection of severe three-vessel coronary artery disease. J Am Coll Cardiol 2003;42:64-70.CrossRef Lima RS, Watson DD, Goode AR, et al. Incremental value of combined perfusion and function over perfusion alone by gated SPECT myocardial perfusion imaging for detection of severe three-vessel coronary artery disease. J Am Coll Cardiol 2003;42:64-70.CrossRef
3.
Zurück zum Zitat Berman DS, Kang X, Slomka PJ, et al. Underestimation of extent of ischemia by gated SPECT myocardial perfusion imaging in patients with left main coronary artery disease. J Nucl Cardiol 2007;14:521-8.CrossRef Berman DS, Kang X, Slomka PJ, et al. Underestimation of extent of ischemia by gated SPECT myocardial perfusion imaging in patients with left main coronary artery disease. J Nucl Cardiol 2007;14:521-8.CrossRef
4.
Zurück zum Zitat Watson DD, Glover DK. Overview of tracer kinetics and cellular mechanisms of uptake. Clinical Nuclear Cardiology. 4th ed. Philadelphia: Mosby; 2010. p. 3-13.CrossRef Watson DD, Glover DK. Overview of tracer kinetics and cellular mechanisms of uptake. Clinical Nuclear Cardiology. 4th ed. Philadelphia: Mosby; 2010. p. 3-13.CrossRef
5.
Zurück zum Zitat Bajaj NS, Osborne MT, Gupta A, et al. Coronary Microvascular Dysfunction and Cardiovascular Risk in Obese Patients. J Am Coll Cardiol 2018;72:707-17.CrossRef Bajaj NS, Osborne MT, Gupta A, et al. Coronary Microvascular Dysfunction and Cardiovascular Risk in Obese Patients. J Am Coll Cardiol 2018;72:707-17.CrossRef
6.
Zurück zum Zitat Osborne MT, Bajaj NS, Taqueti VR, et al. Coronary microvascular dysfunction identifies patients at high risk of adverse events across cardiometabolic diseases. J Am Coll Cardiol 2017;70:2835-7.CrossRef Osborne MT, Bajaj NS, Taqueti VR, et al. Coronary microvascular dysfunction identifies patients at high risk of adverse events across cardiometabolic diseases. J Am Coll Cardiol 2017;70:2835-7.CrossRef
7.
Zurück zum Zitat Bravo PE, Bergmark BA, Vita T, et al. Diagnostic and prognostic value of myocardial blood flow quantification as non-invasive indicator of cardiac allograft vasculopathy. Eur Heart J 2018;39:316-23.CrossRef Bravo PE, Bergmark BA, Vita T, et al. Diagnostic and prognostic value of myocardial blood flow quantification as non-invasive indicator of cardiac allograft vasculopathy. Eur Heart J 2018;39:316-23.CrossRef
8.
Zurück zum Zitat Gupta A, Taqueti VR, van de Hoef TP, et al. Integrated Noninvasive Physiological Assessment of Coronary Circulatory Function and Impact on Cardiovascular Mortality in Patients With Stable Coronary Artery Disease. Circulation 2017;136:2325-36.CrossRef Gupta A, Taqueti VR, van de Hoef TP, et al. Integrated Noninvasive Physiological Assessment of Coronary Circulatory Function and Impact on Cardiovascular Mortality in Patients With Stable Coronary Artery Disease. Circulation 2017;136:2325-36.CrossRef
9.
Zurück zum Zitat Murthy VL, Bateman TM, Beanlands RS, et al. 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.CrossRef Murthy VL, Bateman TM, Beanlands RS, et al. 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.CrossRef
10.
Zurück zum Zitat Sherif HM, Nekolla SG, Saraste A, et al. Simplified quantification of myocardial flow reserve with flurpiridaz F 18: Validation with microspheres in a pig model. J Nucl Med 2011;52:617-24.CrossRef Sherif HM, Nekolla SG, Saraste A, et al. Simplified quantification of myocardial flow reserve with flurpiridaz F 18: Validation with microspheres in a pig model. J Nucl Med 2011;52:617-24.CrossRef
11.
Zurück zum Zitat Lortie M, Beanlands RS, Yoshinaga K, Klein R, Dasilva JN, DeKemp RA. Quantification of myocardial blood flow with 82Rb dynamic PET imaging. Eur J Nucl Med Mol Imaging 2007;34:1765-74.CrossRef Lortie M, Beanlands RS, Yoshinaga K, Klein R, Dasilva JN, DeKemp RA. Quantification of myocardial blood flow with 82Rb dynamic PET imaging. Eur J Nucl Med Mol Imaging 2007;34:1765-74.CrossRef
12.
Zurück zum Zitat Renaud JM, DaSilva JN, Beanlands RS, DeKemp RA. Characterizing the normal range of myocardial blood flow with (8)(2)rubidium and (1)(3)N-ammonia PET imaging. J Nucl Cardiol 2013;20:578-91.CrossRef Renaud JM, DaSilva JN, Beanlands RS, DeKemp RA. Characterizing the normal range of myocardial blood flow with (8)(2)rubidium and (1)(3)N-ammonia PET imaging. J Nucl Cardiol 2013;20:578-91.CrossRef
13.
Zurück zum Zitat Nienaber CA, Ratib O, Gambhir SS, et al. A quantitative index of regional blood flow in canine myocardium derived noninvasively with N-13 ammonia and dynamic positron emission tomography. J Am Coll Cardiol 1991;17:260-9.CrossRef Nienaber CA, Ratib O, Gambhir SS, et al. A quantitative index of regional blood flow in canine myocardium derived noninvasively with N-13 ammonia and dynamic positron emission tomography. J Am Coll Cardiol 1991;17:260-9.CrossRef
14.
Zurück zum Zitat Schelbert HR, Phelps ME, Hoffman E, Huang SC, Kuhl DE. Regional myocardial blood flow, metabolism and function assessed noninvasively with positron emission tomography. Am J Cardiol 1980;46:1269-77.CrossRef Schelbert HR, Phelps ME, Hoffman E, Huang SC, Kuhl DE. Regional myocardial blood flow, metabolism and function assessed noninvasively with positron emission tomography. Am J Cardiol 1980;46:1269-77.CrossRef
15.
Zurück zum Zitat Nesterov SV, Deshayes E, Sciagrà R, et al. Quantification of Myocardial Blood Flow in Absolute Terms u27sing (82)Rb PET Imaging: Results of RUBY-10—a multicenter study comparing ten computer analysis programs. JACC Cardiovasc imaging 2014;7:1119-27.CrossRef Nesterov SV, Deshayes E, Sciagrà R, et al. Quantification of Myocardial Blood Flow in Absolute Terms u27sing (82)Rb PET Imaging: Results of RUBY-10—a multicenter study comparing ten computer analysis programs. JACC Cardiovasc imaging 2014;7:1119-27.CrossRef
16.
Zurück zum Zitat Dekemp RA, Declerck J, Klein R, et al. Multisoftware reproducibility study of stress and rest myocardial blood flow assessed with 3D dynamic PET/CT and a 1-tissue-compartment model of 82Rb kinetics. J Nucl Med 2013;54:571-7.CrossRef Dekemp RA, Declerck J, Klein R, et al. Multisoftware reproducibility study of stress and rest myocardial blood flow assessed with 3D dynamic PET/CT and a 1-tissue-compartment model of 82Rb kinetics. J Nucl Med 2013;54:571-7.CrossRef
17.
Zurück zum Zitat Slomka PJ, Alexanderson E, Jacome R, et al. Comparison of clinical tools for measurements of regional stress and rest myocardial blood flow assessed with 13 N-ammonia PET/CT. J Nucl Med 2012;53:171-81.CrossRef Slomka PJ, Alexanderson E, Jacome R, et al. Comparison of clinical tools for measurements of regional stress and rest myocardial blood flow assessed with 13 N-ammonia PET/CT. J Nucl Med 2012;53:171-81.CrossRef
18.
Zurück zum Zitat Tahari AK, Lee A, Rajaram M, et al. Absolute myocardial flow quantification with (82)Rb PET/CT: Comparison of different software packages and methods. Eur J Nucl Med Mol Imaging 2014;41:126-35.CrossRef Tahari AK, Lee A, Rajaram M, et al. Absolute myocardial flow quantification with (82)Rb PET/CT: Comparison of different software packages and methods. Eur J Nucl Med Mol Imaging 2014;41:126-35.CrossRef
19.
Zurück zum Zitat Ather S, Iskandrian AE, Hage FG. Sources of variability in the measurement of perfusion defect size using commercially available software programs: Are there gender differences? J Nucl Cardiol 2017;24:1089-93.CrossRef Ather S, Iskandrian AE, Hage FG. Sources of variability in the measurement of perfusion defect size using commercially available software programs: Are there gender differences? J Nucl Cardiol 2017;24:1089-93.CrossRef
20.
Zurück zum Zitat Ather S, Iqbal F, Gulotta J, et al. Comparison of three commercially available softwares for measuring left ventricular perfusion and function by gated SPECT myocardial perfusion imaging. J Nucl Cardiol 2014;21:673-81.CrossRef Ather S, Iqbal F, Gulotta J, et al. Comparison of three commercially available softwares for measuring left ventricular perfusion and function by gated SPECT myocardial perfusion imaging. J Nucl Cardiol 2014;21:673-81.CrossRef
21.
Zurück zum Zitat Alexiou S, Georgoulias P, Angelidis G, et al. Myocardial perfusion and left ventricular quantitative parameters obtained using gated myocardial SPECT: Comparison of three software packages. J Nucl Cardiol 2018;25:911-24.CrossRef Alexiou S, Georgoulias P, Angelidis G, et al. Myocardial perfusion and left ventricular quantitative parameters obtained using gated myocardial SPECT: Comparison of three software packages. J Nucl Cardiol 2018;25:911-24.CrossRef
Metadaten
Titel
Myocardial blood flow measures using cardiac positron emission tomography: Software comparisons
verfasst von
Navkaranbir S. Bajaj, MD, MPH
Fadi G. Hage, MD
Jonathan McConathy, MD, PhD
Pradeep Bhambhvani, MD
Publikationsdatum
19.11.2018
Verlag
Springer International Publishing
Erschienen in
Journal of Nuclear Cardiology / Ausgabe 6/2019
Print ISSN: 1071-3581
Elektronische ISSN: 1532-6551
DOI
https://doi.org/10.1007/s12350-018-01525-7

Weitere Artikel der Ausgabe 6/2019

Journal of Nuclear Cardiology 6/2019 Zur Ausgabe

Update Kardiologie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.