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Current Cardiovascular Imaging Reports
Published in: Current Cardiovascular Imaging Reports 8/2016

01-08-2016 | Cardiac Nuclear Imaging (A Cuocolo, Section Editor)

Normal Databases for the Relative Quantification of Myocardial Perfusion

Authors: Mathieu Rubeaux, Yuan Xu, Guido Germano, Daniel S. Berman, Piotr J. Slomka

Published in: Current Cardiovascular Imaging Reports | Issue 8/2016

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Abstract

Purpose of Review

Myocardial perfusion imaging (MPI) with SPECT is performed clinically worldwide to detect and monitor coronary artery disease (CAD). MPI allows an objective quantification of myocardial perfusion at stress and rest. This established technique relies on normal databases to compare patient scans against reference normal limits. In this review, we aim to introduce the process of MPI quantification with normal databases and describe the associated perfusion quantitative measures that are used.

Recent Findings

New equipment and new software reconstruction algorithms have been introduced, which require the development of new normal limits. The appearance and regional count variations of normal MPI scans may differ between these new scanners and standard Anger cameras. Therefore, these new systems may require the determination of new normal limits to achieve optimal accuracy in relative myocardial perfusion quantification. Accurate diagnostic and prognostic results rivaling those obtained by expert readers can be obtained by this widely used technique.

Summary

Throughout this review, we emphasize the importance of the normal databases and the need for specific databases relative to distinct imaging procedures. Use of appropriate normal limits allows optimal quantification of MPI by taking into account subtle image differences due to the hardware and software used, and the population studied.
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Metadata
Title
Normal Databases for the Relative Quantification of Myocardial Perfusion
Authors
Mathieu Rubeaux
Yuan Xu
Guido Germano
Daniel S. Berman
Piotr J. Slomka
Publication date
01-08-2016
Publisher
Springer US
Published in
Current Cardiovascular Imaging Reports / Issue 8/2016
Print ISSN: 1941-9066
Electronic ISSN: 1941-9074
DOI
https://doi.org/10.1007/s12410-016-9385-x