Diagnostic Accuracy of Cadmium Zinc Tellurite (CZT) Detector-Based Dynamic Single Photon Emission Computed Tomography (D-SPECT) Myocardial Perfusion Imaging (MPI) in the Evaluation of Coronary Artery Disease (CAD)

Authors

  • Husnain Saleem Department of Nuclear Medicine, Armed Forces Institute of Pathology, Rawalpindi/National University of Medical Sciences (NUMS) Pakistan
  • Muhammad Inamullah Nouman Department of Nuclear Medicine, Armed Forces Institute of Pathology, Rawalpindi/National University of Medical Sciences (NUMS) Pakistan
  • Zaigham Salim Dar Department of Nuclear Medicine, Armed Forces Institute of Pathology, Rawalpindi/National University of Medical Sciences (NUMS) Pakistan
  • Muhammad Adil Department of Nuclear Medicine, Armed Forces Institute of Pathology, Rawalpindi/National University of Medical Sciences (NUMS) Pakistan
  • Mehdi Raza Department of Nuclear Medicine, Armed Forces Institute of Pathology, Rawalpindi/National University of Medical Sciences (NUMS) Pakistan
  • Muhammad Atif Department of Nuclear Medicine, Armed Forces Institute of Pathology, Rawalpindi/National University of Medical Sciences (NUMS) Pakistan

DOI:

https://doi.org/10.51253/pafmj.v76iSUPPL-8.13354

Keywords:

Coronary artery disease, dynamic SPECT MPI, myocardial flow reserve, coronary angiography, diagnostic accuracy

Abstract

Objective: To assess the diagnostic accuracy of CZT detector-based dynamic SPECT MPI for detecting coronary artery disease (CAD), using coronary angiography as the reference standard.

Study Design: Cross-sectional Observational Study.

Place & Duration of Study: Department of Nuclear Cardiology, AFIC/NIHD, Rawalpindi, Pakistan, from Jan to Jun 2024.

Methodology: A total of 198 patients who underwent coronary angiography within three months of a D-SPECT MPI were included. Dynamic SPECT MPI was performed using a CZT detector-based camera following 99mTc-Sestamibi injection during rest and stress phases. Stress imaging incorporated Adenosine infusion. Myocardial blood flow (MBF) and myocardial flow reserve (MFR) values were calculated. An MFR value <2 indicated CAD. Coronary angiography, interpreted by two cardiologists.

Results: Of 198 patients, 167 (84.3%) were males and 31 (15.7%) were females, with a mean age of 56.03 ±11.83 years. D-SPECT MPI diagnosed CAD in 70 (35.4%) patients, while the actual number of patients having CAD as diagnosed by coronary angiography was 74 (37.4%). The calculated sensitivity, specificity, PPV, NPV, and diagnostic accuracy of D-SPECT MPI, keeping coronary angiography as the gold standard, were 87.8%, 95.9%, 92.8%, 92.9%, and 92.9%, respectively.

Conclusion: This single-center study demonstrates that CZT-based dynamic SPECT MPI offers shorter imaging time, less radiation exposure, and cost-effectiveness, making it a valuable non-invasive diagnostic modality. The system’s enhanced resolution and faster imaging acquisition contribute to its clinical utility.

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Author Biography

  • Muhammad Adil, Department of Nuclear Medicine, Armed Forces Institute of Pathology, Rawalpindi/National University of Medical Sciences (NUMS) Pakistan

     

References

1. Shiraishi S, Tsuda N, Sakamoto F, Ogasawara K, Tomiguchi S, Tsujita K, 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(4): 400–409.

https://doi:10.1016/j.jjcc.2019.09.006

2. Mallet F, Poitrasson-Rivière A, Mariano-Goulart D, Agostini D, Manrique A. Measuring myocardial blood flow using dynamic myocardial perfusion SPECT: artifacts and pitfalls. J Nucl Cardiol 2023; 30(5): 2006–2017.

https://doi:10.1007/s12350-022-03165-4

3. Pang Z, Wang J, Li S, Chen Y, Wang X, Li J. 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(1): 367–378.

https://doi:10.1007/s10554-020-01962-x

4. Fang Z, Cai W, Chen B, Li C, Zhao J, Tian Z, et al. Association between CZT SPECT myocardial blood flow and coronary stenosis: A cross-sectional study. Exp Ther Med 2023; 26(1): 350.

https://doi:10.3892/etm.2023.12049

5. Bailly M, Thibault F, Metrard G, Courtehoux M, Angoulvant D, Ribeiro MJ. Precision of myocardial blood flow and flow reserve measurement during CZT SPECT perfusion imaging processing: Intra- and interobserver variability. J Nucl Med 2023; 64(2): 260–265.

https://doi:10.2967/jnumed.122.264454

6. Czaja M, Wygoda Z, Duszańska A, Szczerba D, Głowacki J, Gąsior M, et al. Interpreting myocardial perfusion scintigraphy using single-photon emission computed tomography. Part 1. Kardiochir Torakochirurgia Pol.2017; 3: 192–199.

https://doi:10.5114/kitp.2017.70534

7. Bailly M, Thibault F, Courtehoux M, Metrard G, Angoulvant D, Ribeiro MJ. Myocardial flow reserve measurement during CZT-SPECT perfusion imaging for coronary artery disease screening: correlation with clinical findings and invasive coronary angiography—the CFR-OR study. Front Med 2021; 4(8): 1-12.

https://doi:10.3389/fmed.2021.691893

8. Ralapanawa U, Sivakanesan R. Epidemiology and the magnitude of coronary artery disease and acute coronary syndrome: a narrative review. J Epidemiol Glob Health 2021; 11(2): 169-177. https://doi:10.2991/jegh.k.201217.001

9. Jafar TH, Jafary FH, Jessani S, Chaturvedi N. Heart disease epidemic in Pakistan: women and men at equal risk. Am Heart J 2005; 150(2): 221–226. https://doi:10.1016/j.ahj.2004.09.025

10. Bateman TM, Heller GV, Beanlands R, et al. Practical Guide for Interpreting and Reporting Cardiac PET Measurements of Myocardial Blood Flow: An Information Statement from the American Society of Nuclear Cardiology, and the Society of Nuclear Medicine and Molecular Imaging. J Nucl Med 2021; 62(11): 1599-1615. https://doi:10.2967/jnumed.121.261989

11. 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(2): 273-293.

https://doi:10.2967/jnumed.117.201368

12. Mach F, Baigent C, Catapano AL, Koskinas KC, Casula M, Badimon L, et al. 2019 ESC/EAS Guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk: the task force for the management of dyslipidaemias of the European Society of Cardiology (ESC) and European Atherosclerosis Society (EAS). Eur Heart J 2019; 41(1): 111–188. https://doi:10.1093/eurheartj/ehz455

13. Knuuti J, Wijns W, Saraste A, Capodanno D, Barbato E, Funck-Brentano C, et al. 2019 ESC Guidelines for the diagnosis and management of chronic coronary syndromes. Eur Heart J 2020; 41(3): 407–477. https://doi:10.1093/eurheartj/ehz425

14. Moras E, Zaid S, Gandhi K, Barman N, Birnbaum Y, Virani SS, et al. Pharmacotherapy for Coronary Artery Disease and Acute Coronary Syndrome in the Aging Population. Curr Atheroscler Rep 2024; 26(7): 231-248.

https://doi:10.1007/s11883-024-01203-9.

15. Pang ZK, Wang J, Chen Y, Chu HX, Zhang MY, Li JM. [Diagnostic efficiency and incremental value of myocardial blood flow quantification by CZT SPECT for patients with coronary artery disease] Zhonghua Xin Xue Guan Bing Za Zhi 2022; 50(5): 494-500.

https://doi:10.3760/cma.j.cn112148-20211124-01018

16. Panjer M, Dobrolinska M, Wagenaar NR, Slart RH. Diagnostic accuracy of dynamic CZT-SPECT in coronary artery disease. A systematic review and meta-analysis. J Nucl Cardiol 2022; 29(4): 1686-1697. https://doi.org/10.1007/s12350-021-02721-8

17. Cho SG, Lee SJ, Na MH, Choi YY, Bom HH. Comparison of diagnostic accuracy of PET-derived myocardial blood flow parameters: a meta-analysis. J Nucl Cardiol 2018; 27: 1955–1966. https://doi:10.1007/s12350-018-01476-z

18. Gupta A, Taqueti VR, van de Hoef TP, Bajaj NS, Bravo PE, Murthy VL, 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(24): 2325–2336.

https://doi:10.1161/CIRCULATIONAHA.117.029992

19. Agostini D, Roule V, Nganoa C, Roth N, Baavour R, Parienti JJ, et al. First validation of myocardial flow reserve assessed by dynamic (99m)Tc-sestamibi CZT-SPECT camera: head to head comparison with (15)O-water PET and fractional flow reserve in patients with suspected coronary artery disease. The WATERDAY study. Eur J Nucl Med Mol Imaging 2018; 45(7): 1079–1090. https://doi:10.1007/s00259-018-3958-7

20. Bailly M, Thibault F, Courtehoux M, Metrard G, Ribeiro MJ. Impact of attenuation correction for CZT-SPECT measurement of myocardial blood flow. J Nucl Cardiol 2021; 28(6): 2560-2568. https://doi:10.1007/s12350-020-02075-7

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Published

16-07-2026

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How to Cite

1.
Saleem H, Muhammad Inamullah Nouman, Zaigham Salim Dar, Muhammad Adil, Raza M, Muhammad Atif. Diagnostic Accuracy of Cadmium Zinc Tellurite (CZT) Detector-Based Dynamic Single Photon Emission Computed Tomography (D-SPECT) Myocardial Perfusion Imaging (MPI) in the Evaluation of Coronary Artery Disease (CAD). Pak Armed Forces Med J [Internet]. 2026 Jul. 16 [cited 2026 Aug. 12];76(SUPPL-8):S1250-S1255. Available from: https://www.pafmj.org/PAFMJ/article/view/13354