Review of cardiovascular imaging in the journal
of nuclear cardiology in 2016: Part 2
of 2—myocardial perfusion imaging
Fadi G. Hage, MD, FASNC,
and Wael A. AlJaroudi, MD, FASNC
Division of Cardiovascular Disease, Department of Medicine, University of Alabama at
Birmingham, Birmingham, AL
Section of Cardiology, Birmingham Veterans Affairs Medical Center, Birmingham, AL
Division of Cardiovascular Medicine, Cardiovascular Imaging, Clemenceau Medical Center,
Received Mar 22, 2017; accepted Mar 22, 2017
In 2016, the Journal of Nuclear Cardiology published many high-quality articles. Similar to
previous years, we will summarize here a selection of the articles that were published in the
Journal in 2016 to provide a concise review of the main advancements that have recently
occurred in the ﬁeld. In the ﬁrst article of this two-part series we focused on publications
dealing with positron emission tomography, computed tomography, and magnetic resonance.
This review will place emphasis on myocardial perfusion imaging using single-photon emission-
computed tomography summarizing advances in the ﬁeld including in diagnosis, prognosis, and
appropriate use. (J Nucl Cardiol 2017;24:1190–9.)
Key Words: Myocardial perfusion imaging
Æ SPECT Æ phase analysis Æ dyssynchrony Æ
appropriateness Æ safety Æ regadenoson
AUC Appropriate use criteria
CAD Coronary artery disease
CCTA Coronary-computed tomography
DTS Duke Treadmill Score
LAD Left anterior descending
LVEF Left ventricular ejection fraction
MI Myocardial infarction
MPI Myocardial perfusion imaging
TID Transient ischemic dilation
This review is the second part of a 2-part series that
reviews key articles that were published in the Journal of
Nuclear Cardiology in 2016.
Similar to previous years’
we have dedicated a separate article for the
ﬁeld of myocardial perfusion imaging (MPI) using
SPECT since this is of particular interest to our readers.
PROGNOSTIC VALUE OF MPI
The prognostic value of MPI is well established.
Multiple studies published in the Journal of Nuclear
Cardiology in 2016 aimed at expanding the prognostic
data derived from MPI.
Cantoni et al. conducted a meta-analysis of 21 studies
(10 MPI and 11 coronary-computed tomography—
CCTA) including data on 25,258 patients with known or
Reprint requests: Fadi G. Hage, MD, FASNC, Division of Cardio-
vascular Disease, Department of Medicine, University of Alabama
at Birmingham, Birmingham, AL; firstname.lastname@example.org.
Copyright Ó 2017 American Society of Nuclear Cardiology.