Literature DB >> 33398791

Comparison of left ventricle mechanical dyssynchrony parameters in ischemic and non-ischemic patients using 13N-NH3 PET/CT.

Angelica Mazzoletti1, Domenico Albano2, Francesco Bertagna2, Claudio Tinoco Mesquita3, Raffaele Giubbini2.   

Abstract

BACKGROUND-AIM: The relationship between perfusion pattern and stress-induced changes in Left Ventricular Mechanical Dyssynchrony (LVMD) has been previously described with controversial results using stress-rest perfusion imaging studies. The aim of this study was to assess the relationship between perfusion pattern and stress-induced changes in LVMD usingo regadenoson/rest13N-NH3 PET/CT.
METHODS: There were 74 patients who underwent stress-rest 13N-NH PET/CT from January 2014 to October 2018 excluding patients with left bundle branch block, ventricular pacing and myocardial necrosis. The patients were divided into those with reversible perfusion defects at stress (Ischemic group, n = 18) and patients without reversible perfusion defects (non-ischemic group, n = 56). The LVMD parameters included: phase standard deviation (PSD) and phase histogram bandwidth (PHB), after stress and at rest. The ΔPSD (post-stressPSD-restPSD) and ΔPHB (post-stressPHB-restPHB) were calculated to measure stress-induced changes in LVMD.
RESULTS: There were no significant differences in LVMD parameters between post-stress and at rest in both groups. The PSD post-stress, ΔPSD and PHB post-stress were significantly higher in the ischemic group.
CONCLUSIONS: Using a vasodilator as a stress, the PSD and PHB post-stress and ΔPSD were significantly higher in the ischemic patients than the non-ischemic group, while there were no significant differences in each cohort between stress and rest indices.
© 2021. The Author(s).

Entities:  

Keywords:  13N-NH3 PET/CT; Dyssynchrony; PET/CT; ammonia; myocardial blood flow; myocardial perfusion; regadenoson

Mesh:

Substances:

Year:  2021        PMID: 33398791      PMCID: PMC9163010          DOI: 10.1007/s12350-020-02466-w

Source DB:  PubMed          Journal:  J Nucl Cardiol        ISSN: 1071-3581            Impact factor:   3.872


Introduction

Left ventricular mechanical dyssynchrony (LVMD) is defined as the differences in the timing of onset of contraction between the different myocardial segments and it may have prognostic value for risk stratification.1,2 LVMD by phase analysis of gated myocardial perfusion imaging (MPI) has emerged as a robust, automated, and reproducible technique to quantify mechanical dispersion.3 13N-ammonia (13N-NH3) may be used in PET/TC imaging and allows quantification of coronary flow reserve (CFR), myocardial blood flow (MBF) LV perfusion, wall motion, LV function and LVMD in patients with Coronary artery disease (CAD). Previous studies4–6 with different radiotracers such as Rubidium-82 and 99mTc-sestamibi, demonstrated that stress-induced ischemia causes dyssynchronous contraction in the ischemic region, leading to worsening of LVMD, but no previous study has examined the use of 13N-NH3. The aim of this study was to evaluate the relationship between perfusion pattern and stress-induced changes in LVMD using 13N-NH3 PET/CT after regadenoson stress and at rest.

Methods

PET/CT Imaging and Interpretation

Patients were in fasting state for stress studies. Maximal vasodilatation was obtained after I.V. injection of 400 mg of regadenoson over 10 seconds in the right antecubital vein followed by a bolus administration of a standard dose of 370 MBq of 13NH3 40 seconds after the end of regadenoson injection. The PET studies were acquired in 3D and list mode for 10 minutes starting acquisition immediately before 13NH3 injection by a discovery PET/CT 690 (GE Healthcare, Milwaukee, h Wisconsin, USA). A low-dose CT attenuation correction (140 kV, 120-150 mA) was acquired for optimal imaging position on a CT scout scan and for attenuation correction. PET images were corrected for attenuation. The reconstruction was performed using iterative algorithms OSEM (Ordered-subset expectation maximization) with 3 iterations and 24 subsets, filter cut-off 6 mm and 128 × 128-pixel matrix). Gated images were reconstructed in 16 bins and the dynamic images and in 32 frames for both stress and rest (24 × 10s, 4 × 30s, 4 × 60s). The perfusion pattern was assessed after iterative reconstruction of tomographic slices and evaluated as recommended by the American Society of Nuclear Cardiology. The SDS was determined by 4-DM Corridor software package (INVIA, Ann Arbor, Michigan), using an Institutional gender-matched normal database. We calculated the SSS and the SRS as the sum of the respective scores of all 17 segments, and derived SDS as the difference between SSS and SRS, served as a measure of reversibility. A SDS ≤ 1 was considered as normal.7 Aminophylline was injected at the end of the stress part (240 mg in 10 mL). Stress examination was performed with continuous ECG monitoring to assess heart rate increase induced by regadenoson stimulation. Two hours after the stress examination, rest studies were acquired for 10 minutes in 3D and list mode after the injection of a standard dose of 370 MBq of 13N-NH3. Quantitative MBF and CFR were determined using the PMOD software package (PMOD Technologies Ltd., Zurich, Switzerland). The CFR was calculated as the ratio of hyperemic to resting MBF; CFR e” 2.5 was considered as normal. The SDS as well as the MBF and CRF was evaluated for the global left ventricle (LV) and for the three coronary territories using a 17-segment model according to the American Society of Nuclear Cardiology recommendations. The PMode software package provides automatically measures of rest, stress MBF, and CFR for global, segmental (according to the 17 segment model), and for the three main vascular territories, identified as anterior, anteroseptal, and apical segments for the left anterior descending coronary artery, inferior and infero-septal segments for the right coronary artery, and of lateral segments for the left circumflex, respectively.

Patient Features

Seventy-four patients (44 men; 30 women), average age 62 ± 12.,72 (range 36-89) who had stress-rest 13N-NH3 PET/CT from January 2014 to October 2018 at our department were enrolled. Patients with left bundle branch block, ventricular pacing, previous revascularization and myocardial necrosis were excluded from the study. Patients were divided into two groups accordingly MPI results: those with reversible myocardial perfusion defects at stress (ischemic group, n. 18) and those without reversible perfusion defects (non ischemic group, n. 56). In each group, we compared the demographics such as age, sex, smoke history, obesity (evaluated as BMI >30), history of hypertension, diabetes, hyperlipidemia and kidney failure. LVMD parameters included phase histogram bandwidth (PHB) and phase standard deviation (PSD). PHB represents the range of degrees of the cardiac cycle during which 95% of myocardium is starting to contract; PSD is the standard deviation of the range. The ΔPSD (evaluated as the difference between post- stress PSD and rest PSD) and ΔPHB (- the difference between post- stress PHB and PHB at rest) were calculated to measure stress-induced changes in LVMD.

Statistical Analysis

Statistical analyses were performed out using MedCalc Software version 18.1. The descriptive analysis of categorical variables are characterized by the calculation of simple and relative frequencies, while the numeric variables by median, mean, minimum and maximum values. Either student’s t test or Mann–Whitney test was used to compare quantitative data between different groups, when required. Chi square (χ2) test was used to compare proportions. A P value < 0.05 was considered to indicate statistical significance.

Results

The demographics are in Table 1. Non significant differences were observed between ischemic and non-ischemic groups except of sex and history of diabetes. The LVMD parameters are in Table 2. The LVMD parameters (PSD and PHB) were not significant differences between stress and rest in each group. All LVMD parameters were higher in the ischemic patients compared to non- ischemic ones, but only PSD post- stress—ΔPSD—and PHB post stress were statistically significant. The correlation matrix between LVMD and perfusion pattern is shown in Table 3. Examples from both groups are shown in Figures 1 and 2.
Table 1

Epidemiological and clinical parameters between ischemic and non-ischemic patients

Ischemic group (18)Non ischemic group (56)P Value
Average age67±1863 ± 13
Men15/1829/560.017
Women3/1827/56
Hypertension9/1834/560.29
Hyperlipidemia9/1828/560.5
Diabetes6/189/560.04
BMI>303/187/560.39
Kidney failure1/182/56
Smoke3/1814/560.68
Smoke in the past5/1816/560.45
Table 2

Left ventricle mechanical dyssynchrony parameters between ischemic and non-ischemic patients

Ischemic group (18)Non ischemic group (56)P Value
PSD stress6.01±6.574.16±2.680.003
PSD rest4.6±2.84.28±1.060.48
ΔPSD1.41±3.74− 0.11±1.620.003
PHB stress24.22±32.5217.46±7.070.008
PHB rest18.55±14.1415.67±5.650.09
ΔPHB5.66±18.381.78±1.410.07
MBF stress1.9±0.032.4±3.40.04
Table 3

Correlation between dyssynchrony parameters with perfusion parameters in different groups

Entire population n 74Ischemic group n 18Non-ischemic group n 56
Correlation coefficientP ValueCorrelation coefficientP ValueCorrelation coefficientP Value
PSD stress vs SSS0.2640.059− 0.0010.9980.2940.098
PHB stress vs SSS0.2270.064− 0.0360.8900.2760.056
ΔPSD vs SDS0.1340.2770.0210.934− 0.1740.224
ΔPHB vs SDS0.1780.1480.0800.7590.0640.657
ΔPSD vs CFR− 0.1340.252− 0.3720.1280.0830.536
ΔPHB vs CFR− 0.1200.306− 0.2210.377− 0.0120.928
Figure 1

A representative case of Ischemic Patient. Woman, 75- years old, without history of cardiovascular risk factors

Figure 2

A representative case of Non- Ischemic Patient. Man, 52 years old, without history of cardiovascular risk factors

Epidemiological and clinical parameters between ischemic and non-ischemic patients Left ventricle mechanical dyssynchrony parameters between ischemic and non-ischemic patients Correlation between dyssynchrony parameters with perfusion parameters in different groups A representative case of Ischemic Patient. Woman, 75- years old, without history of cardiovascular risk factors A representative case of Non- Ischemic Patient. Man, 52 years old, without history of cardiovascular risk factors

Discussion

Intraventricular dyssynchrony reflects inhomogeneous timing of contraction of different myocardial segments, caused by disturbed myocyte stimulation or impaired contractility.8,9 It is helpful to recognize that even structurally normal hearts exhibit some degree of non-uniformity in contraction due to its complex spatial and geometric architecture. Contraction movements depend on the complex distribution of myocardial fibers within the epicardial and endocardial regions as they are oriented longitudinally through the long axis of the heart and circumferentially within the mid-wall region. This arrangement allows for a complex contractile movement which involves both longitudinal and circumferential fibers from apex to base during systolic activation. Due to this complex fiber architecture and to the presence of His-Purkinje system, which allow electrical activation, systolic contraction can be well executed allowing efficient pump function. It is not surprising that in an ischemic heart abnormal temporal electrical activation of the complex myocardial fiber architecture reduces pump efficiency and cardiac performance.8 As a result of that abnormal activation loading, LVMD parameters increase and reflects a balance of forces, with the region that is activated early being unable to withstand the stress generated by the late-activated LV segments.10–12 The regional wall contractions are not effectively converted to pressure build-up in the left ventricle, but rather cause substantial blood volume shifts within the LV cavity. The overall result is a decrease in LV pumping efficiency.9–12 Several new imaging techniques are proving useful for diagnosis of LV dyssynchrony and PET/TC represents a useful method to quantify LVMD parameters. Different radiotracers allow the study of both myocardial perfusion and myocardial metabolism such as radioactive 13N-NH3, H2O15, 82Rb. While water is freely diffusible without being retained from myocardial tissue, ammonia and rubidium present different pharmacokinetic features and they are usually retained in the myocardial tissue depending on myocardial blood flow. While rubidium crosses the myocyte cell membrane mainly by active diffusion, ammonia crosses the myocyte cell membrane by passive diffusion. Unlike technetium radiotracers, ammonia-PET/CT images are acquired immediately after stress induction by regadenoson injection, at maximum peak of vascular dilatation and it allow for the evaluation of absolute myocardial perfusion and mechanical synchrony at real peak hyperemic stress. Myocardial extraction of the PET/TC radiotracers at rest is higher than the radiotracers used with SPECT and it depends on myocardial blood flow. When compared to adenosine, regadenoson has been shown to be non-inferior for identifying perfusion defects13 and providing prognostic data.14–19 Our study shows that LVMD is different in ischemic and non-ischemic patients though in each group they were comparable at rest and post stress. The study has limitations as it is retrospective and the ischemic group has small number of patients. However, it is a proof of principle that our protocol could be used to study LVMD in addition to other variables such as perfusion, function and MBF.

New Knowledge Gained

13N-NH3 PET/TC represent a reliable method for estimating myocardial dyssynchrony parameters. The presence of ischemia is confirmed by a non-synchronous contraction of myocardial tissue and a decrease of myocardial blood flow, parameters evaluated after pharmacological stress test conducted with the use of regadenoson. Below is the link to the electronic supplementary material. (PPT 3525 kb)
  19 in total

1.  Predictors and incremental prognostic value of left ventricular mechanical dyssynchrony response during stress-gated positron emission tomography in patients with ischemic cardiomyopathy.

Authors:  Wael AlJaroudi; M Chadi Alraies; Venu Menon; Richard C Brunken; Manuel D Cerqueira; Wael A Jaber
Journal:  J Nucl Cardiol       Date:  2012-06-13       Impact factor: 5.952

2.  Pathophysiological mechanisms underlying ventricular dyssynchrony.

Authors:  Alan Cheng; Robert H Helm; Theodore P Abraham
Journal:  Europace       Date:  2009-11       Impact factor: 5.214

Review 3.  SPECT myocardial perfusion imaging for the assessment of left ventricular mechanical dyssynchrony.

Authors:  Ji Chen; Ernest V Garcia; Jeroen J Bax; Ami E Iskandrian; Salvador Borges-Neto; Prem Soman
Journal:  J Nucl Cardiol       Date:  2011-08       Impact factor: 5.952

4.  Comparison between the summed difference score and myocardial blood flow measured by 13N-ammonia.

Authors:  Raffaele Giubbini; Alessia Peli; Elisa Milan; Roberto Sciagrà; Luca Camoni; Domenico Albano; Mattia Bertoli; Mattia Bonacina; Federica Motta; Massimo Statuto; Carlo Alberto Rodella; Antonio De Agostini; Raffaella Calabretta; Francesco Bertagna
Journal:  J Nucl Cardiol       Date:  2017-02-03       Impact factor: 5.952

5.  The prognostic value of regadenoson myocardial perfusion imaging.

Authors:  Fadi G Hage; Gopal Ghimire; Davis Lester; Joshua Mckay; Steven Bleich; Stephanie El-Hajj; Ami E Iskandrian
Journal:  J Nucl Cardiol       Date:  2015-02-14       Impact factor: 5.952

6.  Is there an association between hibernating myocardium and left ventricular mechanical dyssynchrony in patients with myocardial infarction?

Authors:  Feifei Zhang; Wei Yang; Yuetao Wang; Haipeng Tang; Jianfeng Wang; Xiaoliang Shao; Ziyi Wang; Xiaoying Zhang; Ling Yang; Xiaosong Wang; Weihua Zhou
Journal:  Hell J Nucl Med       Date:  2018-03-20       Impact factor: 1.102

Review 7.  Ventricular resynchronization: pathophysiology and identification of responders.

Authors:  David A Kass
Journal:  Rev Cardiovasc Med       Date:  2003       Impact factor: 2.930

Review 8.  Mechanical dyssynchrony in congestive heart failure: diagnostic and therapeutic implications.

Authors:  Sherif F Nagueh
Journal:  J Am Coll Cardiol       Date:  2008-01-01       Impact factor: 24.094

9.  Prognostic value of regadenoson myocardial single-photon emission computed tomography in patients with different degrees of renal dysfunction.

Authors:  Sabha Bhatti; Abdul Hakeem; Sunitha Dhanalakota; Gurunanthan Palani; Zehra Husain; Gordon Jacobsen; Karthik Ananthasubramaniam
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2014-04-03       Impact factor: 6.875

10.  The prognostic value of regadenoson SPECT myocardial perfusion imaging in patients with end-stage renal disease.

Authors:  Rami Doukky; Ibtihaj Fughhi; Tania Campagnoli; Marwan Wassouf; Amjad Ali
Journal:  J Nucl Cardiol       Date:  2015-11-18       Impact factor: 5.952

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