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Erschienen in: Journal of Nuclear Cardiology 2/2017

01.04.2017 | Original Article

Accuracy of myocardial perfusion imaging in detecting multivessel coronary artery disease: A cardiac CZT study

verfasst von: Alessia Gimelli, MD, Riccardo Liga, MD, Valerio Duce, MD, Annette Kusch, RT, Alberto Clemente, MD, Paolo Marzullo, MD

Erschienen in: Journal of Nuclear Cardiology | Ausgabe 2/2017

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Abstract

Background

Myocardial perfusion imaging (MPI) performed on traditional single-photon emission computed-tomography cameras has been shown to have a sub-optimal accuracy in detecting multivessel coronary artery disease (CAD).

Methods

Six-hundred and ninety-five patients were submitted to MPI on a novel cadmium-zinc-telluride (CZT) camera and coronary angiography. A coronary stenosis >70% was considered obstructive. In every patient, the summed stress score (SSS) was computed. Moreover, the regional stress scores were also calculated for every coronary territory.

Results

Four-hundred and forty-one patients had obstructive CAD in one (28%), two (19%), or three (17%) vessels. At per-patient analysis, the SSS showed a significant accuracy in detecting obstructive CAD (AUC 0.87, P < .001). Specifically, its accuracy was maintained also in patients with double (AUC 0.83; P < .001) or triple-vessels disease (AUC 0.79, P < .001), where CZT was able to correctly identify CAD extent in 64% of patients. On a per-vessel basis, CZT confirmed its high accuracy in detecting obstructive CAD (AUC 0.88, P < .001), independently from the involved coronary vessel.

Conclusions

MPI performed on a CZT camera is highly accurate in detecting obstructive CAD, independently from the coronary artery involved and the overall disease burden.
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Metadaten
Titel
Accuracy of myocardial perfusion imaging in detecting multivessel coronary artery disease: A cardiac CZT study
verfasst von
Alessia Gimelli, MD
Riccardo Liga, MD
Valerio Duce, MD
Annette Kusch, RT
Alberto Clemente, MD
Paolo Marzullo, MD
Publikationsdatum
01.04.2017
Verlag
Springer US
Erschienen in
Journal of Nuclear Cardiology / Ausgabe 2/2017
Print ISSN: 1071-3581
Elektronische ISSN: 1532-6551
DOI
https://doi.org/10.1007/s12350-015-0360-8

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