Making the invisible visible: Phase dyssynchrony has potential as a new prognostic marker

Demystifying dyssynchrony for diagnosis and prognosis: Tips for measuring heterogeneous phase distribution

“…Both regionally decreased counts and a reduced amplitude of wall motion will increase relative noise, and the variability of phase values will be augmented. 5 This type of phase delay is more prevalent when some ischemic segments are severely hypokinetic, akinetic, and dyskinetic. Based on induced ischemia, patients with heart failure of ischemic and non-ischemic etiology could be differentiated by phase analysis.…”

“…Left ventricular volume, ejection fraction, and total counts during data acquisition affect phase variability even in healthy persons. 5,10 A physiological difference between male and female hearts could be considered. Moreover, because phase variation is relatively smaller in females, probably due to higher counts in the unit myocardium, and a smaller heart than in males, then careful analysis will be required if study groups contain different numbers of males and females.…”

Phase dyssynchrony and 123I-meta-iodobenzylguanidine innervation imaging towards standardization

“…However, all these parameters are influenced by the administrated tracer dose, body weight, statistical noise, sampling method over the myocardium, filtering, and the number of bins used for the histogram. 22 There are several commercial software programs available, including Emory Cardiac Toolbox (Emory University/Syntermed, Atlanta, GA, USA), QGS (Cedars Sinai Medical Center, Los Angeles, CA, USA), Corridor 4DM (INVIA Medical Imaging Solutions, Ann Arbor, MI, USA), cardioREPO (FUJIFILM RI Pharma, Tokyo, Japan), and Heart Function View (or Heart Risk View-F, Nihon MediPhysics, Tokyo, Japan). It is important to realize that normal values depend on software programs.…”

Quantitative analysis of gated myocardial perfusion SPECT

“…Segmentation algorithms and data representation methods are being elaborated and improved [Xu et al, 2009;Germano et al, 2016;Kotina and Ploskikh, 2012;Kotina and Pasechnaya, 2014]. Methods of construction of parametric images in cardiology based on Fourier and wavelet analysis are evolving [Chen et al, 2005;Chen et al, 2011;Hsu et al, 2013;Babin and Kotina, 2014;Ostroumov et al, 2015;Nakajima et al, 2017].…”