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Creation and characterization of normal myocardial perfusion imaging databases using the IQ·SPECT system

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Journal of Nuclear Cardiology Aims and scope

Abstract

Background

Image acquisition by short-time single-photon emission-computed tomography (SPECT) has been made feasible by IQ·SPECT. The aim of this study was to generate normal databases (NDBs) of thallium-201 (201Tl) myocardial perfusion imaging for IQ·SPECT, and characterize myocardial perfusion distribution.

Methods and results

We retrospectively enrolled 159 patients with a low likelihood of cardiac diseases from four hospitals in Japan. All patients underwent short-time 201Tl myocardial perfusion IQ·SPECT with or without attenuation and scatter correction (ACSC) in either supine or prone position. The mean myocardial counts were calculated using 17-segment polar maps. Three NDBs were derived from supine and prone images as well as supine images with ACSC. Differences between the supine and prone positions were observed in the uncorrected sex-segregated NDBs in the mid-inferolateral counts (p ≤ 0.016 for males and p ≤ 0.002 for females). Differences between IQ·SPECT and conventional SPECT were also observed in the mid-anterior, inferolateral, and apical lateral counts (p ≤ 0.009 for males and p ≤ 0.003 for females). Apical low counts attributed to myocardial thinning were observed in the apical anterior and apex segments in the supine IQ·SPECT NDB with ACSC.

Conclusions

There were significant differences between uncorrected supine and prone NDBs, between uncorrected supine NDB and supine NDB with ACSC, and between uncorrected supine NDB and conventional SPECT NDB. Understanding the pattern of normal distribution in IQ-SPECT short-time acquisitions with and without ACSC will be helpful for interpretation of imaging findings in patients with coronary artery disease (CAD) or low likelihood of CAD and the NDBs will aid in quantitative analysis.

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Abbreviations

201Tl:

Thallium-201

99mTc MIBI:

Technetium-99m methoxy-isobutyl-isonitrile

ACSC:

Attenuation and scatter correction

CAD:

Coronary artery disease

CZT:

Cadmium zinc telluride

FWHM:

Full width at half maximum

KeV:

Kilo electron volt

NDB:

Normal database

SPECT:

Single-photon emission-computed tomography

SSS:

Summed stress score

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Acknowledgements

The authors thank all patients who participated in the study for their contribution. The authors also thank nuclear medicine technologists Hitomi Nakamura, Tomoyuki Ohno (Fujita Health University Hospital), Takayuki Shibutani, and Hiroto Yoneyama (Kanazawa University Hospital) for their assistance; Don Spence and A. Hans Vija (Siemens Medical Solutions USA, Inc.) for optimizing acquisition/reconstruction conditions and data processing. The authors would also like to thank Editage (www.editage.jp) for English language editing. This study was partly funded by the JSPS KAKENHI Grants (Numbers 26861022 and 15K09947) as well as the Grants for Promoted Research from the Kanazawa Medical University (S2014-13 and S2016-6).

Disclosures

K Nakajima has a collaborative research work with Siemens Healthcare K.K., Tokyo, Japan. Additionally T. Shimizu is an employee of Siemens Healthcare K.K., Tokyo, Japan.

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Correspondence to Koichi Okuda PhD or Kenichi Nakajima MD.

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Okuda, K., Nakajima, K., Matsuo, S. et al. Creation and characterization of normal myocardial perfusion imaging databases using the IQ·SPECT system. J. Nucl. Cardiol. 25, 1328–1337 (2018). https://doi.org/10.1007/s12350-016-0770-2

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