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Evaluation of inter-departmental variability of ejection fraction and cardiac volumes in myocardial perfusion scintigraphy using simulated data
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2015 (English)In: EJNMMI Physics, ISSN 2197-7364, Vol. 2, no 1, 2Article in journal (Refereed) PublishedText
Abstract [en]

Background: Myocardial perfusion scintigraphy (MPS) is a clinically useful noninvasive imaging modality for diagnosing patients with suspected coronary artery disease. By utilizing gated MPS, the end diastolic volume (EDV) and end systolic volume (ESV) can be measured and the ejection fraction (EF) calculated, which gives incremental prognostic value compared with assessment of perfusion only. The aim of this study was to evaluate the inter-departmental variability of EF, ESV, and EDV during gated MPS in Sweden.

Methods: Seventeen departments were included in the study. The SIMIND Monte Carlo (MC) program together with the XCAT phantom was used to simulate three patient cases with different EDV, ESV, and EF. Individual simulations were performed for each department, corresponding to their specific method of performing MPS. Images were then sent to each department and were evaluated according to clinical routine. EDV, ESV, and EF were reported back.

Results: There was a large underestimation of EDV and ESV for all three cases. Mean underestimation for EDV varied between 26% and 52% and for ESV between 15% and 60%. EF was more accurately measured, but mean bias still varied between an underestimation of 24% to an overestimation of 14%. In general, the intra-departmental variability for EDV, ESV, and EF was small, whereas inter-departmental variability was larger.

Conclusions: Left ventricular volumes were generally underestimated, whereas EF was more accurately estimated. There was, however, large inter-departmental variability.

Place, publisher, year, edition, pages
2015. Vol. 2, no 1, 2
Keyword [en]
External quality assessment, Monte Carlo simulations, SPECT, Myocardial perfusion imaging
National Category
Radiology, Nuclear Medicine and Medical Imaging
URN: urn:nbn:se:umu:diva-124356DOI: 10.1186/s40658-014-0105-9ISI: 000379208500003PubMedID: 26501804OAI: diva2:1034481
Available from: 2016-10-12 Created: 2016-08-04 Last updated: 2016-10-12Bibliographically approved

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Riklund, Katrine
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Department of Radiation Sciences
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