Abstract
Dynamic acquisition allows absolute quantification of myocardial perfusion and flow reserve, offering an alternative to overcome the potential limits of relative quantification, especially in patients with balanced multivessel coronary artery disease. SPECT myocardial perfusion is widely available, at lower cost than PET. Dynamic cardiac SPECT is now feasible and has the potential to be the next step of comprehensive perfusion imaging. In order to help nuclear cardiologists potentially interested in using dynamic perfusion SPECT, we sought to review the different steps of acquisition, processing, and reporting of dynamic SPECT studies in order to enlighten the potentially critical pitfalls and artifacts. Both patient-related and technical artifacts are discussed. Key parameters of the acquisition include pharmacological stress, radiopharmaceuticals, and injection device. When it comes to image processing, attention must be paid to image-derived input function, patient motion, and extra-cardiac activity. This review also mentions compartment models, cameras, and attenuation correction. Finally, published data enlighten some facets of dynamic cardiac SPECT while several issues remain. Harmonizing acquisition and quality control procedures will likely improve its performance and clinical strength.
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.Abbreviations
- CZT:
-
Cadmium zinc telluride
- CAT:
-
Coronary artery disease
- FFR:
-
Fractional flow reserve
- MBF:
-
Myocardial blood flow
- MFR:
-
Myocardial flow reserve
- AC:
-
Attenuation correction
- MC:
-
Motion correction
- MC:
-
Motion correction
- SC:
-
Scatter correction
- na:
-
Non available
References
Zavadovsky KV, Mochula AV, Maltseva AN, et al. The current status of CZT SPECT myocardial blood flow and reserve assessment: Tips and tricks. J Nucl Cardiol 2021. https://doi.org/10.1007/s12350-021-02620-y.
Imbert L, Poussier S, Franken PR, et al. Compared performance of high-sensitivity cameras dedicated to myocardial perfusion SPECT: A comprehensive analysis of phantom and human images. J Nucl Med 2012;53:1897‐903. https://doi.org/10.2967/jnumed.112.107417.
Wells RG, Marvin B. Measuring SPECT myocardial blood flow at the University of Ottawa Heart Institute. J Nucl Cardiol 2021;28:1298‐303. https://doi.org/10.1007/s12350-020-02102-7.
Acampa W, Assante R, Mannarino T, et al. Low-dose dynamic myocardial perfusion imaging by CZT-SPECT in the identification of obstructive coronary artery disease. Eur J Nucl Med Mol Imaging 2020;47:1705‐12. https://doi.org/10.1007/s00259-019-04644-6.
Freitag MT, Bremerich J, Wild D, et al. Quantitative myocardial perfusion 82Rb-PET assessed by hybrid PET/coronary-CT: Normal values and diagnostic performance. J Nucl Cardiol 2022;29:464‐73. https://doi.org/10.1007/s12350-020-02264-4.
Renaud JM, DaSilva JN, Beanlands RSB, DeKemp RA. Characterizing the normal range of myocardial blood flow with 82rubidium and 13N-ammonia PET imaging. J Nucl Cardiol 2013;20:578‐91. https://doi.org/10.1007/s12350-013-9721-3.
Goudarzi B, Fukushima K, Bravo P, et al. Comparison of the myocardial blood flow response to regadenoson and dipyridamole: A quantitative analysis in patients referred for clinical 82Rb myocardial perfusion PET. Eur J Nucl Med Mol Imaging 2011;38:1908‐16. https://doi.org/10.1007/s00259-011-1853-6.
Brana Q, Thibault F, Courtehoux M, et al. Regadenoson versus dipyridamole: Evaluation of stress myocardial blood flow response on a CZT-SPECT camera. J Nucl Cardiol 2022;29:113‐22. https://doi.org/10.1007/s12350-020-02271-5.
Glover DK, Ruiz M, Yang JY, et al. Myocardial 99mTc-tetrofosmin uptake during adenosine-induced vasodilatation with either a critical or mild coronary stenosis: Comparison with 201Tl and regional myocardial blood flow. Circulation 1997;96:2332‐8. https://doi.org/10.1161/01.cir.96.7.2332.
Wells RG, Timmins R, Klein R, et al. Dynamic SPECT measurement of absolute myocardial blood flow in a porcine model. J Nucl Med 2014;55:1685‐91. https://doi.org/10.2967/jnumed.114.139782.
Swanson TN, Troung DT, Paulsen A, et al. Adsorption of 99mTc-sestamibi onto plastic syringes: Evaluation of factors affecting the degree of adsorption and their impact on clinical studies. J Nucl Med Technol 2013;41:247‐52. https://doi.org/10.2967/jnmt.113.132159.
Reynolds SN, Kikut J. Adherence of Tc-99 sestamibi to plastic syringes could complicate efforts in dose reduction in MPI SPECT. J Nucl Cardiol 2016;23:256‐64. https://doi.org/10.1007/s12350-015-0137-0.
Wells RG, Marvin B. Measuring SPECT myocardial blood flow at the University of Ottawa Heart Institute. J Nucl Cardiol 2020. https://doi.org/10.1007/s12350-020-02102-7.
Hunter CRRN, Klein R, Beanlands RS, deKemp RA. Patient motion effects on the quantification of regional myocardial blood flow with dynamic PET imaging. Med Phys 2016;43:1829. https://doi.org/10.1118/1.4943565.
Koenders SS, van Dijk JD, Jager PL, et al. Impact of regadenoson-induced myocardial creep on dynamic rubidium-82 PET myocardial blood flow quantification. J Nucl Cardiol 2019;26:719‐28. https://doi.org/10.1007/s12350-019-01649-4.
Wells RG, Marvin B, Poirier M, et al. Optimization of SPECT measurement of myocardial blood flow with corrections for attenuation, motion, and blood binding compared with PET. J Nucl Med 2017;58:2013‐9. https://doi.org/10.2967/jnumed.117.191049.
Bailly M, Thibault F, Courtehoux M, et al. Impact of attenuation correction for CZT-SPECT measurement of myocardial blood flow. J Nucl Cardiol 2020. https://doi.org/10.1007/s12350-020-02075-7.
Giubbini R, Bertoli M, Durmo R, et al. Comparison between N13NH3-PET and 99mTc-Tetrofosmin-CZT SPECT in the evaluation of absolute myocardial blood flow and flow reserve. J Nucl Cardiol 2021;28:1906‐18. https://doi.org/10.1007/s12350-019-01939-x.
Poitrasson-Rivière A, Moody JB, Renaud JM, et al. Impact of residual subtraction on myocardial blood flow and reserve estimates from rapid dynamic PET protocols. J Nucl Cardiol 2021. https://doi.org/10.1007/s12350-021-02837-x.
Agostini D, Roule V, Nganoa C, et al. First validation of myocardial flow reserve assessed by dynamic 99mTc-sestamibi CZT-SPECT camera: Head to head comparison with 15O-water PET and fractional flow reserve in patients with suspected coronary artery disease. The WATERDAY study. Eur J Nucl Med Mol Imaging 2018;45:1079‐90. https://doi.org/10.1007/s00259-018-3958-7.
Oliveira JB, Sen YM, Wechalekar K. Intersoftware variability impacts classification of cardiac PET exams. J Nucl Cardiol 2019;26:2007‐12. https://doi.org/10.1007/s12350-018-1444-z.
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. https://doi.org/10.2967/jnumed.112.112219.
Nesterov SV, Sciagrà R, Orozco LEJ, et al. One-tissue compartment model for myocardial perfusion quantification with N-13 ammonia PET provides matching results: A cross-comparison between Carimas, FlowQuant, and PMOD. J Nucl Cardiol 2021. https://doi.org/10.1007/s12350-021-02741-4.
Harms HJ, Nesterov SV, Han C, et al. Comparison of clinical non-commercial tools for automated quantification of myocardial blood flow using oxygen-15-labelled water PET/CT. Eur Heart J Cardiovasc Imaging 2014;15:431‐41. https://doi.org/10.1093/ehjci/jet177.
Wells RG, Radonjic I, Clackdoyle D, et al. Test-retest precision of myocardial blood flow measurements with 99mTc-tetrofosmin and solid-state detector single photon emission computed tomography. Circ Cardiovasc Imaging 2020;13:e009769. https://doi.org/10.1161/CIRCIMAGING.119.009769.
Renaud JM, Poitrasson-Rivière A, Hagio T, et al. Myocardial flow reserve estimation with contemporary CZT-SPECT and 99mTc-tracers lacks precision for routine clinical application. J Nucl Cardiol 2021. https://doi.org/10.1007/s12350-021-02761-0.
Danai K, Johnson NP, Roby AE, et al. Routine clinical quantitative rest stress myocardial perfusion for managing coronary artery disease. JACC Cardiovasc Imaging 2017;10:565‐77. https://doi.org/10.1016/j.jcmg.2016.09.019.
Van Tosh A, Cao JJ, Votaw JR, et al. Clinical implications of compromised 82Rb PET data acquisition. J Nucl Cardiol 2021. https://doi.org/10.1007/s12350-021-02774-9.
Sciagrà R, Lubberink M, Hyafil F, et al. EANM procedural guidelines for PET/CT quantitative myocardial perfusion imaging. Eur J Nucl Med Mol Imaging 2021;48:1040‐69. https://doi.org/10.1007/s00259-020-05046-9.
Shiraishi S, Sakamoto F, Tsuda N, et al. Prediction of left main or 3-vessel disease using myocardial perfusion reserve on dynamic thallium-201 single-photon emission computed tomography with a semiconductor gamma camera. Circ J 2015;79:623‐31. https://doi.org/10.1253/circj.CJ-14-0932.
Nkoulou R, Fuchs TA, Pazhenkottil AP, et al. Absolute myocardial blood flow and flow reserve assessed by gated SPECT with cadmium-zinc-telluride detectors using 99mTc-tetrofosmin: head-to-head comparison with 13N-ammonia PET. J Nucl Med 2016;57:1887‐92. https://doi.org/10.2967/jnumed.115.165498.
Han S, Kim Y-H, Ahn J-M, et al. 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. https://doi.org/10.1007/s00259-018-4057-5.
Zavadovsky KV, Mochula AV, Boshchenko AA, et al. Absolute myocardial blood flows derived by dynamic CZT scan vs invasive fractional flow reserve: Correlation and accuracy. J Nucl Cardiol 2021;28:249‐59. https://doi.org/10.1007/s12350-019-01678-z.
de Souza AC do AH, Gonçalves BKD, Tedeschi AL, Lima RSL. Quantification of myocardial flow reserve using a gamma camera with solid-state cadmium-zinc-telluride detectors: Relation to angiographic coronary artery disease. J Nucl Cardiol 2019. https://doi.org/10.1007/s12350-019-01775-z.
Zavadovsky KV, Mochula AV, Maltseva AN, et al. The diagnostic value of SPECT CZT quantitative myocardial blood flow in high-risk patients. J Nucl Cardiol 2020. https://doi.org/10.1007/s12350-020-02395-8.
Shiraishi S, Tsuda N, Sakamoto F, et al. Clinical usefulness of quantification of myocardial blood flow and flow reserve using CZT-SPECT for detecting coronary artery disease in patients with normal stress perfusion imaging. J Cardiol 2020;75:400‐9. https://doi.org/10.1016/j.jjcc.2019.09.006.
Pang Z, Wang J, Li S, et al. Diagnostic analysis of new quantitative parameters of low-dose dynamic myocardial perfusion imaging with CZT SPECT in the detection of suspected or known coronary artery disease. Int J Cardiovasc Imaging 2021;37:367‐78. https://doi.org/10.1007/s10554-020-01962-x.
Acknowledgements
Alain Manrique is supported by a Grant from the GCS G4 as part of the FHU-CARNAVAL, labeled by AVIESAN.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Disclosures
Florian Mallet: no conflict of interest. Alexis Poitrasson-Rivière: Employee of INVIA Medical Imaging Solutions. Denis Mariano Goulart: no conflict of interest. Denis Agostini: Scientific consultant, Spectrum Dynamics, Israel. Alain Manrique: no conflict of interest.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
All editorial decisions for this article, including selection of reviewers and the final decision, were made by guest editor Randy Thompson, MD.
The authors of this article have provided a PowerPoint file, available for download at SpringerLink, which summarizes the contents of the paper and is free for re-use at meetings and presentations. Search for the article DOI on SpringerLink.com.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Mallet, F., Poitrasson-Rivière, A., Mariano-Goulart, D. et al. Measuring myocardial blood flow using dynamic myocardial perfusion SPECT: artifacts and pitfalls. J. Nucl. Cardiol. 30, 2006–2017 (2023). https://doi.org/10.1007/s12350-022-03165-4
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12350-022-03165-4