Skip to main content
Log in

Effect of reduced photon count levels and choice of normal data on semi-automated image assessment in cardiac SPECT

  • Original Article
  • Published:
Journal of Nuclear Cardiology Aims and scope

Abstract

Background

The SMARTZOOM multifocal collimator from Siemens Healthcare was developed to improve the γ-photon sensitivity in myocardial perfusion imaging without truncating the field of view. As part of the IQ-SPECT package, it may be used to reduce radiopharmaceutical dose to patients, as well as acquisition time. The aim of this study was twofold: (1) to evaluate the influence of dose reduction in semi-automated MPI scoring, with focus on different strategies for the choice of normal data (count-matched, full-count), and (2) to evaluate the effect of dose reduction afforded by Siemens’ IQ-SPECT package.

Methods

50 patients underwent Tc-99m-sestamibi one-day stress/rest SPECT/CT. Multiple levels of count reduction were generated using binomial thinning. Using Corridor 4DM, summed stress score (SSS) was calculated using either count-matched or full-count normal data. Studies were classified as low-risk (SSS < 4) or intermediate/high-risk (SSS ≥ 4).

Results

Count reduction using count-matched normal data increases false-normal rate and decreases sensitivity. With full-count normal data, count reduction increases false-hypoperfusion rate, leading to decreased specificity. Altogether, rate of reclassification was significant at roughly 67% dose and below.

Conclusion

Significant bias results from count level of normal data relative to actual patient data. Compared to standard LEHR, IQ-SPECT should allow for significant dose reduction.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7

Similar content being viewed by others

Notes

  1. As noted above, reducing dose is not strictly the same as imaging time, as physiological factors such as tracer kinetics and patient motion will differ between the two cases. Nevertheless, from the perspective of counts acquired, the two processes may be considered equivalent.

  2. For example, Caobelli et al46 had a time interval of approximately three minutes between the SPECTs, which should render tracer kinetics to be negligible.

Abbreviations

MPI:

Myocardial perfusion imaging

TPD:

Total perfusion deficit

SSS:

Summed stress score

SRS:

Summed rest score

AT:

Acquisition time

IT:

Imaging time

CPP:

Counts per pixel

References

  1. Zheng ZJ, Croft JB, Giles WH, Mensah GA. Sudden cardiac death in the United States, 1989 to 1998. Circulation. 2001;104:2158–63.

    CAS  Google Scholar 

  2. Hachamovitch R, Berman DS, Shaw LJ, Kiat H, Cohen I, Cabico JA, et al. Incremental prognostic value of myocardial perfusion single photon emission computed tomography for the prediction of cardiac death: differential stratification for risk of cardiac death and myocardial infarction. Circulation. 1998;97:535–43.

    CAS  Google Scholar 

  3. Underwood SR, Anagnostopoulos C, Cerqueira M, Ell PJ, Flint EJ, Harbinson M, et al. Myocardial perfusion scintigraphy: the evidence. Eur J Nucl Med Mol Imaging. 2004;31:261–91.

    CAS  Google Scholar 

  4. Hendel RC, Berman DS, Di Carli MF, Heidenreich PA, Henkin RE, Pellikka PA, et al. Appropriate use criteria for cardiac radionuclide imaging. J Am Coll Cardiol. 2009;53:2201–29.

    Google Scholar 

  5. Hutton B. The origins of SPECT and SPECT/CT. Eur J Nucl Med Mol Imaging. 2014;41:3–16.

    Google Scholar 

  6. Okada RD, Glover D, Gaffney T, Williams S. Myocardial kinetics of technetium-99m-hexakis-2-methoxy-2-methylpropyl-isonitrile. Circulation. 1988;77:491–8.

    CAS  Google Scholar 

  7. Dorbala S, Di Carli MF, Delbeke D, Abbara S, DePuey EG, Dilsizian V, et al. SNMMI/ASNC/SCCT guideline for cardiac SPECT/CT and PET/CT 1.0. J Nucl Med. 2013;54:1485–507.

    Google Scholar 

  8. Hesse B, Tagil K, Cuocolo A, Anagnostopoulos C, Bardies M, Bax J, et al. EANM/ESC procedural guidelines for myocardial perfusion imaging in nuclear cardiology. Eur J Nucl Med Mol Imaging. 2005;32:855–97.

    CAS  Google Scholar 

  9. de Jong MC, Genders TS, van Geuns R-J, Moelker A, Hunink MM. Diagnostic performance of stress myocardial perfusion imaging for coronary artery disease: a systematic review and meta-analysis. Eur Radiol. 2012;22:1881–95.

    Google Scholar 

  10. Lindner O, Bengel FM, Hacker M, Schäfer W, Burchert W. Use of myocardial perfusion imaging and estimation of associated radiation doses in Germany from 2005 to 2012. Eur J Nucl Med Mol Imaging. 2014;41:963–71.

    CAS  Google Scholar 

  11. Duvall WL, Croft L, Godiwala T, Ginsberg E, George T, Henzlova M. Reduced isotope dose with rapid SPECT MPI imaging: Initial experience with a CZT SPECT camera. J Nucl Cardiol. 2010;17:1009–14.

    Google Scholar 

  12. Bocher M, Blevis IM, Tsukerman L, Shrem Y, Kovalski G, Volokh L. A fast cardiac gamma camera with dynamic SPECT capabilities: design, system validation and future potential. Eur J Nucl Med Mol Imaging. 2010;37:1887–902.

    Google Scholar 

  13. DePuey EG. Advances in SPECT camera software and hardware: currently available and new on the horizon. J Nucl Cardiol. 2012;19:551–81.

    Google Scholar 

  14. Vija AH, Malmin R, Yahil A, Zeintl J, Bhattacharya M, Rempel TD et al. A method for improving the efficiency of myocardial perfusion imaging using conventional SPECT and SPECT/CT imaging systems. In: Nuclear Science Symposium Conference Record (NSS/MIC), 2010 IEEE; 2010. p. 3433-7.

  15. Zeintl J, Rempel TD, Bhattacharya M, Malmin RE, Vija AH. Performance characteristics of the SMARTZOOM collimator. In: Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2011 IEEE; 2011. p. 2426-9.

  16. Erwin WD, Jessop AC, Mar MV, Macapinlac HA, Mawlawi OR. Qualitative and quantitative comparison of gated blood pool single photon emission computed tomography using low-energy high-resolution and SMARTZOOM collimation. Nucl Med Commun. 2017;38:35–43.

    Google Scholar 

  17. Pirich C, Keinrath P, Barth G, Rendl G, Rettenbacher L, Rodrigues M. Diagnostic accuracy and functional parameters of myocardial perfusion scintigraphy using accelerated cardiac acquisition with IQ SPECT technique in comparison to conventional imaging. Q J Nucl Med Mol Imaging. 2017;61:102–7.

    Google Scholar 

  18. Caobelli F, Pizzocaro C, Paghera B, Guerra UP. Evaluation of patients with coronary artery disease. IQ-SPECT protocol in myocardial perfusion imaging: Preliminary results. Nuklearmedizin. 2013;52:178–85.

    CAS  Google Scholar 

  19. Lyon MC, Foster C, Ding X, Dorbala S, Spence D, Bhattacharya M, et al. Dose reduction in half-time myocardial perfusion SPECT-CT with multifocal collimation. J Nucl Cardiol. 2016;23:657–67.

    Google Scholar 

  20. Havel M, Kolacek M, Kaminek M, Dedek V, Kraft O, Sirucek P. Myocardial perfusion imaging parameters: IQ-SPECT and conventional SPET system comparison. Hell J Nucl Med. 2014;17:200–3.

    Google Scholar 

  21. Novak M, Grancorvitz A, Johnson C. Comparison of IQ-SPECT/CT with conventional SPECT/CT for myocardial perfusion imaging. J Nucl Med. 2012;53:2712.

    Google Scholar 

  22. Erwin W, Jessop A, Peirsol W, Mar M, Jones S, Macapinlac H, et al. Qualitative and quantitative comparison of gated blood pool SPECT using low-energy high-resolution and SMARTZOOM collimation. J Nucl Med. 2014;55:1736.

    Google Scholar 

  23. Matsuo S, Nakajima K, Onoguchi M, Wakabayash H, Okuda K, Kinuya S. Nuclear myocardial perfusion imaging using thallium-201 with a novel multifocal collimator SPECT/CT: IQ-SPECT versus conventional protocols in normal subjects. Ann Nucl Med. 2015;29:452–9.

    Google Scholar 

  24. Du Y, Bhattacharya M, Frey EC. Simultaneous Tc-99m/I-123 dual-radionuclide myocardial perfusion/innervation imaging using Siemens. Phys Med Biol. 2014;59:2813.

    Google Scholar 

  25. Henzlova MJ, Duvall WL, Einstein AJ, Travin MI, Verberne HJ. ASNC imaging guidelines for SPECT nuclear cardiology procedures: Stress, protocols, and tracers. J Nucl Cardiol. 2016;23:606–39.

    Google Scholar 

  26. Holly TA, Abbott BG, Al-Mallah M, Calnon DA, Cohen MC, DiFilippo FP, et al. Single photon-emission computed tomography. J Nucl Cardiol. 2010;17:941–73.

    Google Scholar 

  27. Bundesamt für Strahlenschutz. Bekanntmachung der aktualisierten diagnostischen Referenzwerte für nuklearmedizinische Untersuchungen [National Regulation]. Bundesanzeiger. 2012;19(10):2012.

    Google Scholar 

  28. Verberne HJ, Acampa W, Anagnostopoulos C, Ballinger J, Bengel F, De Bondt P, et al. EANM procedural guidelines for radionuclide myocardial perfusion imaging with SPECT and SPECT/CT: 2015 revision. Eur J Nucl Med Mol Imaging. 2015;42:1929–40.

    CAS  Google Scholar 

  29. Slomka P, Germano G. Optimizing radiation dose and imaging time with conventional myocardial perfusion SPECT: Technical aspects. J Nucl Cardiol. 2017;24:888–91.

    Google Scholar 

  30. Ficaro EP, Lee BC, Kritzman JN, Corbett JR. Corridor4DM: The Michigan method for quantitative nuclear cardiology. J Nucl Cardiol. 2007;14:455–65.

    Google Scholar 

  31. Germano G, Kiat H, Kavanagh PB, Moriel M, Mazzanti M, Su HT, et al. Automatic quantification of ejection fraction from gated myocardial perfusion SPECT. J Nucl Med. 1995;36:2138–47.

    CAS  Google Scholar 

  32. Germano G, Kavanagh PB, Slomka PJ, Van Kriekinge SD, Pollard G, Berman DS. Quantitation in gated perfusion SPECT imaging: The Cedars-Sinai approach. J Nucl Cardiol. 2007;14:433–54.

    Google Scholar 

  33. Germano G, Kavanagh PB, Waechter P, Areeda J, Van Kriekinge S, Sharir T, et al. A new algorithm for the quantitation of myocardial perfusion SPECT. I: Technical principles and reproducibility. J Nucl Med. 2000;41:712–9.

    CAS  Google Scholar 

  34. Garcia EV, Faber TL, Cooke CD, Folks RD, Chen J, Santana C. The increasing role of quantification in clinical nuclear cardiology: The Emory approach. J Nucl Cardiol. 2007;14:420–32.

    Google Scholar 

  35. Slomka PJ, Nishina H, Berman DS, Akincioglu C, Abidov A, Friedman JD, et al. Automated quantification of myocardial perfusion SPECT using simplified normal limits. J Nucl Cardiol. 2005;12:66–77.

    Google Scholar 

  36. Rubeaux M, Xu Y, Germano G, Berman DS, Slomka PJ. Normal databases for the relative quantification of myocardial perfusion. Curr Cardiovasc Imaging Rep. 2016;9:22.

    Google Scholar 

  37. Slomka PJ, Fish MB, Lorenzo S, Nishina H, Gerlach J, Berman DS, et al. Simplified normal limits and automated quantitative assessment for attenuation-corrected myocardial perfusion SPECT. J Nucl Cardiol. 2006;13:642–51.

    Google Scholar 

  38. Nakajima K, Matsumoto N, Kasai T, Matsuo S, Kiso K, Okuda K. Normal values and standardization of parameters in nuclear cardiology: Japanese Society of Nuclear Medicine working group database. Ann Nucl Med. 2016;30:188–99.

    Google Scholar 

  39. Sharir T, Pinskiy M, Pardes A, Rochman A, Prokhorov V, Kovalski G, et al. Comparison of the diagnostic accuracies of very low stress-dose with standard-dose myocardial perfusion imaging: Automated quantification of one-day, stress-first SPECT using a CZT camera. J Nucl Cardiol. 2016;23:11–20.

    Google Scholar 

  40. Esteves FP, Galt JR, Folks RD, Verdes L, Garcia EV. Diagnostic performance of low-dose rest/stress Tc-99m tetrofosmin myocardial perfusion SPECT using the 530c CZT camera: quantitative vs visual analysis. J Nucl Cardiol. 2014;21:158–65.

    Google Scholar 

  41. Nakazato R, Berman DS, Hayes SW, Fish M, Padgett R, Xu Y, et al. Myocardial perfusion imaging with a solid-state camera: simulation of a very low dose imaging protocol. J Nucl Med. 2013;54:373–9.

    CAS  Google Scholar 

  42. Siemens Molecular Imaging. IQ-SPECT Hints and Tips Software Version VA60A [Manufacturer’s White Paper]; 2011.

  43. Lindner O, Bengel F, Burchert W, Hacker M, Schäfer W, Schäfers M et al. DGN-Handlungsempfehlung (S1-Leitlinie): Myokard-Perfusions-Szintigraphie [National Guideline]; 2012.

  44. Berman DS, Kang X, Van Train KF, Lewin HC, Cohen I, Areeda J, et al. Comparative prognostic value of automatic quantitative analysis versus semiquantitative visual analysis of exercise myocardial perfusion single-photon emission computed tomography. J Am Coll Cardiol. 1998;32:1987–95.

    CAS  Google Scholar 

  45. Lecchi M, Martinelli I, Zoccarato O, Maioli C, Lucignani G, Del Sole A. Comparative analysis of full-time, half-time, and quarter-time myocardial ECG-gated SPECT quantification in normal-weight and overweight patients. J Nucl Cardiol. 2017;24:876–87.

    CAS  Google Scholar 

  46. Caobelli F, Thackeray JT, Soffientini A, Bengel FM, Pizzocaro C, Guerra UP. Feasibility of one-eighth time gated myocardial perfusion SPECT functional imaging using IQ-SPECT. Eur J Nucl Med Mol Imaging. 2015;42:1–9.

    Google Scholar 

  47. Meden J, Ficaro E, Corbett J. Clinical comparison of four minute IQ-SPECT imaging with conventional parallel hole collimated SPECT/CT. J Nucl Med Meeting Abstracts 2011;52:1132

  48. Matsutomo N, Nagaki A, Sasaki M. Performance of myocardial perfusion imaging using multi-focus fan beam collimator with resolution recovery reconstruction in a comparison with conventional SPECT. Asia Ocean J Nucl Med Biol. 2014;2:111–9.

    Google Scholar 

  49. Agostini D, Pineau S, Manrique A, Desmonts C. Assessment of myocardial perfusion and function by IQ-SPECT in comparison with LEHR-SPECT in patients suspected of coronary artery disease: Preliminary results. J Nucl Med Meeting Abstracts 2014;55:1717

Download references

Acknowledgements

The present work was performed in (partial) fulfillment of the requirements for obtaining the degree “Dr. med.”

Disclosure

Matthias Wetzl has nothing to declare. James C. Sanders has been supported in the past by a collaboration agreement with Siemens Molecular Imaging that is not directly related to this project. Torsten Kuwert has received honoraria for lectures on behalf of Siemens Molecular Imaging. Torsten Kuwert and Philipp Ritt: the Clinic of Nuclear Medicine in Erlangen has a research cooperation with Siemens on the field of SPECT/CT, but not related to the data contained in this manuscript.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Philipp Ritt PhD.

Additional information

The authors of this article have provided a PowerPoint file, available for download at SpringerLink, which summarises the contents of the paper and is free for re-use at meetings and presentations. Search for the article DOI on SpringerLink.com.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (PPTX 255 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wetzl, M., Sanders, J.C., Kuwert, T. et al. Effect of reduced photon count levels and choice of normal data on semi-automated image assessment in cardiac SPECT. J. Nucl. Cardiol. 27, 1469–1482 (2020). https://doi.org/10.1007/s12350-018-1272-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12350-018-1272-1

Key Words

Navigation