Available via license: CC BY-NC-SA 4.0
Content may be subject to copyright.
88 © 2019 Indian Journal of Nuclear Medicine | Published by Wolters Kluwer - Medknow
Address for correspondence:
Prof. Chetan Patel,
Department of Nuclear
Medicine, Cardiothoracic
Centre, All India Institute of
Medical Sciences, Ansari Nagar,
New Delhi ‑ 110 049, India.
E‑mail: cdpatel09@gmail.com
Access this article online
Website: www.ijnm.in
DOI: 10.4103/ijnm.IJNM_165_18
Quick Response Code:
Abstract
Purpose of the Study: The purpose of this study was to study the role of equilibrium radionuclide
angiography (ERNA) in the assessment of left ventricular (LV) mechanical dyssynchrony in
patients with dilated cardiomyopathy (DCM), by correlating the ndings with electrocardiographic
parameters and speckle‑tracking echocardiography (STE). Methods: This was a prospective
observational study.A total of 55 patients with a mean age 42.5 ± 11 years (range: 19–61 years)
diagnosedwithDCMunderwentERNAandechocardiographysequentially.OnERNA,phase images
of LV were obtained, and standard deviation of LV mean phase angle (SD LVmPA) was derived
to quantify intra‑LV mechanical dyssynchrony (ILVD). Similarly, on STE, “dyssynchrony index”
was calculated as the standard deviation of time‑to‑peak systolic circumferential strain (SDCS)
of the six mid‑LV segments. The cutoff values used to dene mechanical dyssynchrony were SD
LVmPA >13.2° (or >27.1 ms) and SDCS >74 ms on ERNA and STE, respectively. The results
obtained from the two modalities were then compared. Results: Speckle‑tracking analysis could be
doneonthe echocardiographic data ofonly42patients. Paired data from ERNAand STE studiesof
these42patients (26 males and16females) were compared, whichshowednosignicant difference
in the detection of ILVD (P = 0.125). The two modalities showed good agreement with Cohen’s
kappa value of 0.78 (P < 0.0001). SD LVmPA and SDCS values showed moderately strong linear
correlation(ρ =0.69; P <0.0001). No signicantassociationof mechanicaldyssynchronyon ERNA
orSTE was found withQRSdurationand with the presenceorabsence of left bundlebranchblock.
ILVD was also found to be negatively correlated with LV ejection fraction. Conclusion: ERNA is
comparableto STE fortheassessment of LVmechanicaldyssynchrony.
Keywords: Dilated cardiomyopathy, equilibrium radionuclide angiography, mechanical
dyssynchrony, speckle‑tracking echocardiography
Equilibrium Radionuclide Angiography in Evaluation of Left Ventricular
Mechanical Dyssynchrony in Patients with Dilated Cardiomyopathy:
Comparison with Electrocardiographic Parameters and Speckle‑Tracking
Echocardiography
Original Article
Abhinav Singhal1,2,
Bangkim Chandra
Khangembam1,2,
Sandeep Seth3,
Chetan Patel2
1Department of Nuclear
Medicine, Institute of Liver and
Biliary Sciences, Departments
of 2Nuclear Medicine and
3Cardiology, Cardiothoracic
Centre, All India Institute of
Medical Sciences, New Delhi,
India
How to cite this article: Singhal A, Khangembam BC,
Seth S, Patel C. Equilibrium radionuclide angiography
in evaluation of left ventricular mechanical
dyssynchrony in patients with dilated cardiomyopathy:
Comparison with electrocardiographic parameters and
speckle-tracking echocardiography. Indian J Nucl Med
2019;34:88-95.
Introduction
Cardiac resynchronization therapy (CRT)
has now become the standard of
care for drug refractory heart failure
patients.[1,2] The current clinical guidelines
mainly rely on QRS duration derived from
electrocardiogram (ECG) for the selection
of patients for CRT, with wide QRS
morphology (>120 ms) being regarded
as an essential criterion.[3] However, even
afterfollowingthe guidelines, 20%–30%of
patients fail to respond to CRT.[4‑6] Owing
to the high cost of CRT implantation and
possible procedural complications, it is
imperative to search for parameters which
can predict response to CRT with better
accuracy.
The presence of ventricular contractile
dyssynchronyis theoretically considered an
essentialsubstrate,whichcouldbecorrected
by CRT, leading to clinical improvement.
Conventionally, wide QRS duration has
been presumed to be a surrogate for
mechanical dyssynchrony of contractile
function.However,subsequent research has
pointedthat a wide QRS complex may just
be a marker of electrical dyssynchrony and
may not accurately reect the mechanical
dyssynchrony.[7] Emphasis has been
given to indentify the cardiac mechanical
dyssynchrony, which may be a better
predictor of response to device therapy.[8‑10]
Variousimagingtechniqueshavebeenused
to measure mechanical dyssynchrony
This is an open access journal, and arcles are
distributed under the terms of the Creave Commons
Aribuon‑NonCommercial‑ShareAlike 4.0 License, which
allows others to remix, tweak, and build upon the work
non‑commercially, as long as appropriate credit is given and
the new creaons are licensed under the idencal terms.
For reprints contact: reprints@medknow.com
[Downloaded free from http://www.ijnm.in on Thursday, May 2, 2019, IP: 91.234.79.75]
Singhal, et al.: Comparison of ERNA with echocardiography for left ventricular mechanical dyssynchrony
Indian Journal of Nuclear Medicine | Volume 34 | Issue 2 | April-June 2019 89
and response to CRT. These include echocardiography,
cardiac magnetic resonance, equilibrium radionuclide
angiography (ERNA), and gated myocardial perfusion
single‑photonemission computed tomography.[8‑16]
Echocardiography has been used most commonly
for this purpose as cardiologists are most familiar
with this method. Different echocardiography‑derived
dyssynchrony parameters have evolved over time,
with the tissue Doppler imaging (TDI) being the most
widely used technique. However, echocardiography is
largely operator dependent, so reproducibility is limited.
Moreover, data from PROSPECT trial do not support
the use of echocardiography‑derived dyssynchrony
parameters (including TDI) to be used in routine clinical
practice.[15] Speckle‑tracking echocardiography (STE) is
another novel technique which has shown promise in the
post‑PROSPECT era; however, the search for a more
reproducible method of measuring left ventricular (LV)
mechanicaldyssynchrony continues.
ERNA is a well‑established imaging modality to assess
ventricular function and wall motion.[17] Using phase
analysis, ERNA has also been investigated for the
assessmentofdyssynchronous cardiac contraction,anditis
proven to be highly reproducible.[18‑21] Being noninvasive,
highly reproducible, and relatively easy to perform, it
may be one of the most promising techniques to quantify
dyssynchrony.
Theprimary objective of our study was to evaluate ERNA
in the assessment of mechanical cardiac dyssynchrony in
patientsofdilatedcardiomyopathy(DCM)and compare its
resultswith STE.Thesecondaryobjectiveswere to testthe
associationof mechanical synchronyparametersderivedon
ERNAandSTEwithECGparametersofQRSduration and
morphology.
Methods
Fifty‑ve patients with DCM with low ejection
fraction (≤40%) were recruited in the study. Inclusion
criteria were (1) clinical heart failure with LV
ejection fraction (LVEF) ≤40%, (2) duration of
symptoms>1year,(3)age>12years,and(4)sinusrhythm.
Patients with a history of valvular heart disease and
arrhythmias were excluded. ERNA study was successfully
performed in all 55 patients. However, satisfactory
echocardiographic images required for speckle‑tracking
analysiscouldnotbe obtainedin13patients,due tolackof
properacousticwindowforimaging.Thus, 42 STE studies
wereavailablefor comparison withERNA.
Equilibrium radionuclide angiography acquisition and
processing
ERNA studies were done at rest with in vivo red
blood cell labeling with intravenous administration of
0.5–0.9mg(15µg/kgofbodyweight)ofstannouschloride,
followed 10–15 min later by 15–20 mCi (550–740 MBq)
of technetium‑99m pertechnetate. Acquisition was started
10–15 min later with a dual‑head gamma camera (Innia
Hawkeye 4; GE Medical Systems, Waukesha, WI, USA)
ttedwith alow‑energygeneral purposecollimator.Images
were acquired in left anterior oblique view (best septal
view). The projection was gated with the ECG to get 32
frames spanning the cardiac cycle. Images were acquired
in 64 × 64 matrix, with a zoom factor of 1.6; each view
acquiredfor approximately 500–600 kilo counts. The ECG
wasmonitoredcontinuouslyto ensureR‑wavegatingofthe
QRS complex. Elimination of ventricular premature beats
was obtained with a window threshold of 20% around the
meanR–R interval during acquisitionofprojections.
Images were analyzed using commercial
software (XT‑ERNA; GE Medical Systems, Waukesha,
WI, USA). Count‑based LVEF was then computed using
semiautomatic regions of interest (ROI) on two separate
regions (end diastolic and end systolic). ROI were drawn
automatically by the computer with adjustments of border
denition performed by the observer blinded to the state
of conduction. Phase images are computed using the rst
harmonic Fourier transform to display the mechanical
contraction time for all the ventricular pixels of the image
duringone composite cardiac cycle.
Phase image shows the areas of the heart whose change
in activity, on a pixel‑by‑pixel basis, occurs at the same
time. This, in effect, shows the progression of mechanical
systole through the heart over the R–R interval giving
information about the relative timing of contraction of
cardiac pixels, that is, the synchronicity. Phase images
weregeneratedforcardiac regionsusingacontinuouscolor
scale,corresponding tophaseangles from0°to360°.From
these histograms representing the distribution of the pixels
for each ventricle according to their phases, the mean
phaseand itsstandarddeviation werecalculated[Figure1].
Meanphaseangle(mPA)was computed for LVbloodpool
as the arithmetic mean of the phase angle for all pixels in
the corresponding ventricular ROI. The standard deviation
of the mPA of LV blood pool (SD LVmPA) represents
synchronicity of ventricular motion. SD LVmPA can be
expressed in units of degree/angle (°) or time, that is,
milliseconds (ms). Expressing SD of mPA in degrees is
considered more accurate for comparison across different
populations since it negates the effect of different heart
rates(andthus R–R interval) among individuals. However,
both units are analogous to each other and either can be
usedfor statistical analysis withinasample.
To dene intra‑LV mechanical dyssynchrony (ILVD),
we used cutoff values (mean + 2SD of SD LVmPA)
of ERNA which are already established in normal
Indian controls.[22] ILVD was thus diagnosed when SD
LVmPA value was >13.2° (or >27.1 ms), in the study
population.[22] Apart from quantitative analysis, qualitative
[Downloaded free from http://www.ijnm.in on Thursday, May 2, 2019, IP: 91.234.79.75]
Singhal, et al.: Comparison of ERNA with echocardiography for left ventricular mechanical dyssynchrony
90 Indian Journal of Nuclear Medicine | Volume 34 | Issue 2 | April-June 2019
visual assessment of the phase images was also done to
determineLVregionaldyssynchrony.
Speckle‑tracking echocardiography acquisition and
processing
Echocardiography was performed by an experienced
cardiologist in the left lateral decubitus position using
the commercially available equipment (Philips Inc.). Data
acquisition was performed with a 3‑MHz transducer at a
depthof15cmintheparasternalandapicalviews(standard
2‑ and 4‑chamber images). For speckle‑tracking analysis,
standard grayscale two‑dimensional (2D) images were
acquired in the parasternal short‑axis views at the level
of the papillary muscles. All of the images were recorded
with a frame rate of at least 50 fps to allow for reliable
operationof thesoftware(QLab; KoninklijkePhilipsN.V.).
Sector width was also adjusted to ensure that the whole
of the LV wall was included in the acquisition, while at
the same time, recording as narrow a sector as possible to
optimizetemporal resolution.
Ofine analysis was done on all the recordings, using the
vendor provided customized software package (QLab;
Koninklijke Philips N.V.). From an end‑systolic single
frame,ROIwere traced on the endocardial cavity interface
bya point‑and‑clickapproach.Then,anautomated tracking
algorithm followed the endocardium from this single
frame throughout the cardiac cycle. Further, adjustment
of the ROI was performed to ensure that all of the
myocardial regions were included. Next, acoustic markers,
the so‑called speckles, equally distributed in the ROI,
were followed throughout the entire cardiac cycle. The
distance between the speckles was measured as a function
of time, and parameters of myocardial deformation were
calculated. Circumferential strain (CS) was calculated
by dividing the myocardium into six segments, namely,
the mid‑anterior, mid‑anterolateral, mid‑inferolateral,
mid‑inferior, mid‑inferoseptal, and mid‑anteroseptal. The
different segments were color coded, and CS curves were
reconstitutedineachofthesixmid‑LVsegments[Figure2].
Parameters derived from speckle‑tracking
echocardiography
Using peak of the R wave as a reference, time to attain
the peak systolic CS was calculated for each segment. To
identifydyssynchrony,the“dyssynchronyindex” of the LV
was calculated as the standard deviation of time‑to‑peak
systolicCS(SDCS) of thesixsegments.
Tocalculate the upper limit of the normal value of SDCS,
STEwas preperformedon10apparently healthyvolunteers
with no history of cardiovascular symptoms and normal
ECGandroutine echocardiographic parameters. The cutoff
limit(mean+2SD) thus derived to dene ILVDfromSTE
wasSDCS >74 ms.
Each of the 55 patients rst underwent routine
2D echocardiographic examination. However, 2D
speckle‑tracking acquisition was only possible in
42 patients, in whom satisfactory and low‑noise LV
short‑axisimagescouldbeobtainedin theparasternalview.
Statistical analyses
Data are presented as mean with standard deviations or
median with ranges where appropriate. The Chi‑square
test/Fisher’s exact test was used for the comparison
of categorical (qualitative) data between groups. For
Figure 1: Results of Fourier phase analysis on equilibrium radionuclide
angiography study of a control participant showing synchronous
contraction. The phase image (a) and the phase histogram (b) are color
coded based on the phase angle of each pixel. R–R: R–R interval on
electrocardiogram, HR: Heart rate, SD: Standard deviation
ab
Figure 2: (a) Grayscale short‑axis image of the mid‑left ventricle at the
level of papillary muscles in a healthy control participant. Division of
myocardium into six segments is shown. (b) Software‑based strain
measurement by tracking of speckles. Amplitude of the strain is
color coded. (c) Circumferential strain curves of the six segments
traced over the cardiac cycle with the yellow dot placed at the nadir,
that is, peak strain. Standard deviation of the six time‑to‑peak strain
curves is below 74 ms, thus showing synchronous contraction. MA:
Mid‑anterior, MAL: Mid‑anterolateral, MIL: Mid‑inferolateral, MI: Mid‑inferior,
MIS: Mid‑inferoseptal, MAS: Mid‑anteroseptal
ab
c
[Downloaded free from http://www.ijnm.in on Thursday, May 2, 2019, IP: 91.234.79.75]
Singhal, et al.: Comparison of ERNA with echocardiography for left ventricular mechanical dyssynchrony
Indian Journal of Nuclear Medicine | Volume 34 | Issue 2 | April-June 2019 91
continuous variables, the Student’s t‑test/Mann–Whitney
U‑test was applied for comparison between the means
of two groups. Kappa analysis and McNemar’s test were
used to assess intermodality agreement. Pearson’s “r”/
Spearman’s ρ was used to assess the correlation between
quantitative variables where appropriate. Agreement
between representative quantitative measures of the two
imaging modalities was further tested by calculating
Cohen’skappa value and Bland–Altman analysis. P < 0.05
wasconsideredstatisticallysignicant.Allthedataanalyses
were performed using the statistical software packages
SPSS17(SPSS Inc., Chicago, Illinois, USA)andMedCalc
11.3(MedCalcSoftware,Mariakerke,Belgium).
Results
The baseline characteristics of the original sample of
55 patients who underwent ERNA and those of the
subset of 42 patients in whom STE acquisition could be
done for the comparison are summarized in Table 1. The
subset of 42 patients (26 males and 16 females) had a
mean age of 41.2 ± 10.5 years (range: 19–59 years). The
meanLVEF for the entire sample (n= 55) was 28% ± 8%
(range: 15%–40%) and that of the subset (n = 42) was
26%±7.7%(range:15%–40%).Theclinicalcharacteristics
of this subset (n = 42) were compared with the remaining
13 patients in whom STE could not be performed, and
no signicant differences were observed in age and
sex distribution, etiology of DCM, New York Heart
Association class, and presence of left bundle branch
block (LBBB) (P > 0.05 for all comparisons). However,
QRS duration was signicantly shorter (P = 0.01) and
LVEFrelativelybetter(P = 0.02) in patientsinwhomSTE
couldnot be performed.
Intermodality agreement
Since the reference upper limits to label dyssynchrony
for both modalities, that is, STE and ERNA were derived
fromtwoseparatecontrol groups,theirdemographicprole
was compared to the respective patient populations. No
signicantdifferencewasfoundinagedistributionsbetween
patients and STE controls (41.2 ± 10.5 vs. 41 ± 9 years,
P = 0.595) or patients and ERNA controls (42.5 ± 11 vs.
46.2±14.5 years, P = 0.109).
Using the above‑described cutoffs, out of 42 patients,
ILVD was found in 27 (64%) patients on speckle‑tracking
analysis and 31 (74%) patients on ERNA. ERNA identied
LV mechanical dyssynchrony in all 27 patients classied
as having dyssynchronous contraction on STE. The former
additionally detected dyssynchrony in four patients in
whom results of STE were normal. McNemar’s analysis
revealed no statistically signicant difference between
the mechanical dyssynchrony detection by STE and
ERNA (P = 0.125) [Table 2 and Figures 3, and 4]. The
results from the two modalities were further tested by
Cohen’s Kappa test for intermodality agreement. Kappa
value of 0.780 was derived (P < 0.0001), which indicated
goodagreement.
AShapiro–Wilktestshowedthatthequantitativeparameters
of dyssynchrony derived from ERNA (i.e., SD LVmPA)
and STE (i.e., SDCS) were not normally distributed in
the sample (test statistic 0.91; P < 0.05 and test statistic
0.94; P < 0.05, respectively). The association between the
two parameters was therefore tested by Spearman’s rank
correlation test. On analysis, the Spearman’s rho (ρ) value
wasderivedtobe0.690(P<0.0001),indicatingamoderately
strong linear correlation [Figure 5]. Bland–Altman plot
was also constructed to further test the agreement between
the above parameters, and the results are summarized in
Figure 6. The analysis revealed that differences between
almost all the paired measurements were contained within
two standard deviations of difference, indicating acceptable
agreement. Furthermore, a trend was observed that as the
Table 1: Patient characteristics
Clinical characteristics Value (n=55) Value (n=42)
Age(years) 42.5±11
(range:19‑61)
41.2±10.5
(range:19‑59)
Sex
Male 36(65.5) 26(61.9)
Female 19(34.5) 16(38.1)
LVEF(%) 28±8(range:
15‑40)
26±7.7(range:
15‑40)
NYHAclass
II 50(91) 38(90.4)
III 5(9) 4(9.6)
QRSduration(ms) 115±28.5
(range:72‑189)
121.4±30.0
(range:72‑189)
WideQRS(>120) 21(38) 20(47.6)
NarrowQRS(≤120) 34(62) 22(52.4)
LBBB
Present 11(20) 10(23.8)
Absent 44(80) 32(76.2)
DCM
Nonischemic(idiopathic) 43(78) 35(83.4)
Ischemic 12(22) 7(16.6)
Dataarepresentedasmean±SD(median,range),n(%).
LVEF:Leftventricularejectionfraction,NYHA:NewYorkHeart
Association,LBBB:Leftbundlebranchblock,DCM:Dilated
cardiomyopathy,SD:Standarddeviation
Table 2: Contingency table for comparison between
equilibrium radionuclide angiography and
speckle‑tracking echocardiography
ILVD on
ERNA absent
ILVD on
ERNA present
Total
ILVDonSTEabsent 11 4 15
ILVDonSTEpresent 0 27 27
Total 11 31 42
ERNA:Equilibriumradionuclideangiography,STE:Speckle‑tracking
echocardiography,ILVD: Intra‑LV mechanical dyssynchrony,
LV:Leftventricle
[Downloaded free from http://www.ijnm.in on Thursday, May 2, 2019, IP: 91.234.79.75]
Singhal, et al.: Comparison of ERNA with echocardiography for left ventricular mechanical dyssynchrony
92 Indian Journal of Nuclear Medicine | Volume 34 | Issue 2 | April-June 2019
absolutemagnitudeofdyssynchronyincreases,thedifference
betweenSTEand ERNAmeasurementsincreases,indicating
thatinhighly dyssynchronous LVcontractions,eitherERNA
underestimates or STE overestimates the dyssynchrony.The
validation and explanation of this later nding however
require further research in future studies with larger sample
sizes.
Electrocardiogram versus imaging for mechanical
dyssynchrony
Among the study population (n = 55), 21 patients (38%)
had wide QRS (duration >120 ms). Eleven out of
these (20% of total) had LBBB, and two had right bundle
branchblockpattern. The remainingeightpatients(14%of
total) were classied as having nonspecic intraventricular
conduction defects. In patients with wide QRS, the mean
QRS duration was 148 ± 18 ms (range: 122–189 ms). The
relationship of electrical with mechanical dyssynchrony
was compared between wide QRS and narrow QRS group
using both ERNA (n = 55) and STE (n = 42). While
assessed by ERNA, 5 out of 21 patients (20%) with
wide QRS duration on ECG did not show mechanical
intra‑LV dyssynchrony. On the other hand, 21 out of
34 patients (62%) with otherwise narrow QRS showed
intra‑LV mechanical dyssynchrony. The Chi‑square test
did not show a signicant association of QRS duration
and ILVD (P = 0.268). When assessed with STE, again
no signicant association of QRS duration was noted with
ILVD(P= 0.167).
Effect of LBBB on mechanical dyssynchrony was also
assessed using ERNA and STE. Nine out of 11 (82%)
patientswithLBBB showed ILVDon ERNA; however, 28
outof44(64%)patientswithout LBBBalsoshowedILVD.
Figure 5: Scatter plot showing linear correlation between standard
deviation of left ventricular mean phase angle (ms) and standard deviation
of time‑to‑peak systolic circumferential strain (ms). SD LVmPA: Standard
deviation of left ventricular mean phase angle, SDCS: Standard deviation
of time‑to‑peak systolic circumferential strain
Figure 6: Bland and Altman plot for standard deviation of time‑to‑peak
systolic circumferential strain (ms) and standard deviation of left ventricular
mean phase angle (ms). SD LVmPA: Standard deviation of left ventricular
mean phase angle, SDCS: Standard deviation of time‑to‑peak systolic
circumferential strain
Figure 3: (a) A 25‑year‑old patient with left bundle branch block (QRS = 189 ms)
and left ventricular ejection fraction = 20%. Equilibrium radionuclide
angiography based phase image shows signicant dyssynchrony (wide
variation in timing of contraction among pixels on color scale). Phase
histogram is wide, and standard deviation of left ventricular mean phase
angle value is 31°. (b) Speckle‑tracking echocardiography analysis of the
same patient. Standard deviation of time‑to‑peak strain is 166 ms, that is,
higher than the upper limit of normal (see wide scattering of yellow dots)
consistent with intraleft ventricular dyssynchrony. R–R: R–R interval on
electrocardiogram, HR: Heart rate, SD: Standard deviation
ab
Figure 4: (a) A 38‑year‑old patient with QRS = 149 ms (intraventricular
conduction defect) and left ventricular ejection fraction = 38%. In spite
of wide QRS, equilibrium radionuclide angiography shows the absence
of dyssynchrony. Value of standard deviation of left ventricular mean
phase angle is 8°. (b) Speckle‑tracking echocardiography too, done for
the same patient, showing absence of intraleft ventricular dyssynchrony
with standard deviation of time‑to‑peak systolic circumferential strain
value of 63 ms. R–R: R–R interval on electrocardiogram, HR: Heart rate,
SD: Standard deviation
ab
[Downloaded free from http://www.ijnm.in on Thursday, May 2, 2019, IP: 91.234.79.75]
Singhal, et al.: Comparison of ERNA with echocardiography for left ventricular mechanical dyssynchrony
Indian Journal of Nuclear Medicine | Volume 34 | Issue 2 | April-June 2019 93
Overall, no signicant association was found between
the presence or absence of LBBB and ILVD (P = 0.429;
Chi‑square test with continuity correction). Similar results
are found with STE (P = 0.117; Chi‑square test with
continuitycorrection).
We also found that patients with ILVD on ERNA had
lower LVEF (24.3% ±6%; median 23%, range 15%–36%)
compared to patients without ILVD (34.2% ± 7%; median
37.5%,range16%–40%)andthedifferencewasstatistically
signicant (P < 0.001).A moderately negative Spearman’s
correlation(ρ =−0.672)wasobservedbetween SDLVmPA
andLVEF(P < 0.01)[Figure7].
Discussion
ERNA is a well‑established modality for evaluating
both global and regional cardiac functions. It is accurate,
reproducible, and simple to perform. Various studies have
assessed the feasibility of ERNA in assessing mechanical
synchrony and have also validated the accuracy of the
method.[19‑22] However, to make this technique proceed
fromthe bench tothebedside,we compared andcorrelated
ERNA with the modality, the cardiologist is most familiar
with, that is, the echocardiography. To the best of our
knowledge, this is the rst study comparing ERNA and
STEforthe assessment ofLVmechanicaldyssynchrony.
Outof55patientswithnormalsinusrhythminwhomERNA
was successfully performed, adequate parasternal view
echocardiographic recording for ofine speckle‑tracking
analysis was possible in only 42 (76%) patients. This
was attributed to poor acoustic window in the remaining
patients owing to thick chest wall (obesity), rib crowding
artifacts, obstructive airway disease, etc., Ofine speckle
tracking on the images of these patients was visually
found to be inconsistent, with poor reproducibility.This is
consistent with several previous studies that have reported
that lack of adequate imaging window is a limitation of
echocardiography in general, even more relevant when
performing STE which requires images with high spatial
resolution.[23‑25] In comparison, image degradation due to
overlying soft‑tissue attenuation is unlikely during ERNA
acquisition. In a subgroup analysis, we found that among
the clinical characteristics, QRS duration was signicantly
shorterandLVEFrelativelybetterin patientsin whomSTE
could not be performed. This may occur because patients
with coexisting obesity or obstructive airway disease
are more likely to be symptomatic and seek consultation
in heart failure clinic at earlier stages with relatively
preservedcardiacfunction.ILVDwasthus seriallyassessed
by both modalities in the subsample of 42 patients and
the agreement analysis for the detection of mechanical
dyssynchrony showed strong agreement between the two
modalities.
Compared to STE, ERNA identied ILVD in four
additional patients. Visual analysis of the phase images of
thesepatients revealedthattheregion ofdyssynchronywas
conned to the apical/inferoapical region. The signicance
ofthisndingremainsuncertainbutmayreecttheinherent
limitation of 2D nature of speckle tracking which may not
providecoverage ofadequatelongitudinal lengthoftheLV,
while dyssynchrony in itself is a 3D phenomenon.[26,27] 3D
speckle‑tracking technology can overcome the limitations
of2Dsampling.[27]
Inthis study,theQRS duration and LBBB status were not
found to have strong correlation with ILVD. Literature
review shows conicting data on the exact relationship of
QRSdurationwith ILVD.Fauchieret al.[16]reportedhigher
valuesof SDLVmPAinDCMpatients withQRS>120 ms,
while Marcassa etal.[28] reported only a weak correlation
between QRS duration and SD LVmPA (r = 0.51).
However,inthestudiesbyGhio etal.[29] andHaraetal.,[30]
no signicant relation was found between ILVD and wide
QRS. Our study supports the later studies. Although 76%
ofour patients with wide QRS had ILVD,62% of patients
with narrow QRS also have ILVD. Other authors have
reported the presence of ILVD in up to 50% of patients
withnormal QRS duration.[28,31]
Interestingly, not all patients with wide QRS show ILVD.
Previous studies[28‑30] have reported that up to 42% of
patientswithwideQRSmay not have ILVD.In this study,
24% of the patients did not show ILVD despite having
QRS width >120 ms. This percentage is very similar to
the proportion of nonresponders in the various CRT trials,
givingimpetusto the hypothesis thatthepresenceofILVD
maybe a necessary factorbehindtheresponse to CRT.
Ventricular synchrony and function are closely related.
Dyssynchronous contraction may have a signicant
detrimentaleffecton mechanical pumping efciency of the
ventricles. This is reected as reduced global ventricular
systolic function. Studies by several workers in the past
have supported this theory. Fauchier etal.[16] reported in
103 patients with idiopathic DCM that a degradation of
Figure 7: Scatter diagram showing negative correlation between intraleft
ventricular mechanical dyssynchrony and left ventricular ejection fraction.
SD LVmPA: Standard deviation of left ventricular mean phase angle,
LVEF: Left ventricular ejection fraction
[Downloaded free from http://www.ijnm.in on Thursday, May 2, 2019, IP: 91.234.79.75]
Singhal, et al.: Comparison of ERNA with echocardiography for left ventricular mechanical dyssynchrony
94 Indian Journal of Nuclear Medicine | Volume 34 | Issue 2 | April-June 2019
thehemodynamicstatuswasassociatedwith an increase in
ILVD. Among 13 univariate predictors of cardiac events,
the only independent predictors were an increased SD
LV mPA ( P= 0.0004)andanincreased pulmonary capillary
wedge pressure (P = 0.009). Marcassa etal.[28] reported in
130 DCM patients, a signicant nonlinear inverse relation
of LVEF with ILVD (r = −0.68, P < 0.0001) concordant
withourstudy.
CRT, by means of correcting dyssynchrony, may help in
the improvement of LVEF which may be linked with the
overall clinical response. It is pertinent thus to investigate
the parameter of ventricular synchrony which has the
greatestimpact on ventricularfunctionmeasuredasLVEF.
The above ndings suggest that ILVD might be more
important than QRS duration in determining LV function
and the subsequent prognosis and should, therefore, be the
target of resynchronization therapy. The fact that ERNA
has high accuracy and reproducibility in the assessment of
ILVDunderlinesitspotentialapplicabilityintheassessment
of patients with heart failure who are potential candidates
forresynchronizationtherapy.
Conclusion
ERNA as a modality for the assessment of cardiac
mechanical dyssynchrony compares favorably with the
current standard of care echocardiographic technique for
this purpose, that is, STE. The former also overcomes
the inherent limitations of the latter in being operator
independent and thus being more reproducible and also in
beingapplicable to a widersubsetofpatients.
Financial support and sponsorship
Nil.
Conicts of interest
Thereare no conicts ofinterest.
References
1. Cleland JG, Daubert JC, Erdmann E, Freemantle N, Gras D,
Kappenberger L, et al. The effect of cardiac resynchronization
on morbidity and mortality in heart failure. N Engl J Med
2005;352:1539‑49.
2. Abraham WT, Fisher WG, Smith AL, Delurgio DB, LeonAR,
Loh E, et al. Cardiac resynchronization in chronic heart failure.
NEngl J Med2002;346:1845‑53.
3. Yancy CW, Jessup M, Bozkurt B, Butler J, Casey DE Jr.
Drazner MH, et al. 2013 ACCF/AHA guideline for the
management of heart failure: A report of the American College
ofCardiology Foundation/AmericanHeartAssociationtaskforce
onpractice guidelines. JAmCollCardiol 2013;62:e147‑239.
4. Fox DJ, Fitzpatrick AP, Davidson NC. Optimisation of
cardiac resynchronisation therapy: Addressing the problem of
“non‑responders”.Heart 2005;91:1000‑2.
5. Reuter S, Garrigue S, Barold SS, Jais P, Hocini M,
Haissaguerre M, et al. Comparison of characteristics in
responders versus nonresponders with biventricular pacing
for drug‑resistant congestive heart failure. Am J Cardiol
2002;89:346‑50.
6. Epstein AE, DiMarco JP, Ellenbogen KA, Estes NA 3rd,
FreedmanRA, GettesLS, et al.ACC/AHA/HRS2008 guidelines
for device‑based therapy of cardiac rhythm abnormalities:
Areport oftheAmerican CollegeofCardiology/American Heart
AssociationTaskforceonpracticeguidelines(Writingcommittee
to revise the ACC/AHA/NASPE 2002 guideline update for
implantationofcardiac pacemakers and antiarrhythmia devices):
Developed in collaboration with the American Association for
Thoracic Surgery and society of thoracic surgeons. Circulation
2008;117:e350‑408.
7. AuricchioA,YuCM.Beyondthe measurementofQRS complex
toward mechanical dyssynchrony: Cardiac resynchronisation
therapy in heart failure patients with a normal QRS duration.
Heart2004;90:479‑81.
8. Pitzalis MV, Iacoviello M, Romito R, Massari F, Rizzon B,
Luzzi G, et al. Cardiac resynchronization therapy tailored by
echocardiographic evaluation of ventricular asynchrony. J Am
CollCardiol 2002;40:1615‑22.
9. MukherjeeA,PatelCD, NaikN,Sharma G,RoyA.Quantitative
assessment of cardiac mechanical dyssynchrony and prediction
of response to cardiac resynchronization therapy in patients
with non‑ischaemic dilated cardiomyopathy using equilibrium
radionuclideangiography.Europace 2016;18:851‑7.
10. MukherjeeA,PatelCD, NaikN,Sharma G,RoyA.Quantitative
assessment of cardiac mechanical dyssynchrony and prediction
ofresponseto cardiac resynchronization therapy in patients with
nonischaemic dilated cardiomyopathy using gated myocardial
perfusionSPECT.Nucl Med Commun2015;36:494‑501.
11. Yu CM, Fung JW, Zhang Q, Chan CK, Chan YS, Lin H, et al.
Tissue Doppler imaging is superior to strain rate imaging and
postsystolic shortening on the prediction of reverse remodeling
in both ischemic and nonischemic heart failure after cardiac
resynchronizationtherapy.Circulation 2004;110:66‑73.
12. Koos R, Neizel M, Schummers G, Krombach GA, Stanzel S,
Günther RW, et al. Feasibility and initial experience of
assessment of mechanical dyssynchrony using cardiovascular
magnetic resonance and semi‑automatic border detection.
JCardiovasc Magn Reson2008;10:49.
13. Chen J, Garcia EV,Folks RD, Cooke CD, Faber TL, TauxeEL,
et al. Onset of left ventricular mechanical contraction as
determined by phase analysis of ECG‑gated myocardial
perfusionSPECTimaging: Development of a diagnostic tool for
assessment of cardiac mechanical dyssynchrony.J Nucl Cardiol
2005;12:687‑95.
14. Chen J, Henneman MM, Trimble MA, Bax JJ, Borges‑Neto S,
Iskandrian AE, et al. Assessment of left ventricular mechanical
dyssynchrony by phase analysis of ECG‑gated SPECT
myocardialperfusion imaging. JNucl Cardiol 2008;15:127‑36.
15. Chung ES, Leon AR, Tavazzi L, Sun JP, Nihoyannopoulos P,
Merlino J, et al. Results of the predictors of response to
CRT(PROSPECT)trial. Circulation2008;117:2608‑16.
16. Fauchier L, Marie O, Casset‑Senon D, Babuty D, Cosnay P,
Fauchier JP, et al. Interventricular and intraventricular
dyssynchrony in idiopathic dilated cardiomyopathy:
A prognostic study with Fourier phase analysis of radionuclide
angioscintigraphy.JAmCollCardiol 2002;40:2022‑30.
17. Strauss HW, Zaret BL, Hurley PJ, Natarajan TK, Pitt B.
A scintiphotographic method for measuring left ventricular
ejection fraction in man without cardiac catheterization. Am J
Cardiol1971;28:575‑80.
18. FraisM,Botvinick E,ShosaD,O’ConnellW,PachecoAlvarezJ,
Dae M, et al. Phase image characterization of localized and
generalized left ventricular contraction abnormalities. JAm Coll
[Downloaded free from http://www.ijnm.in on Thursday, May 2, 2019, IP: 91.234.79.75]
Singhal, et al.: Comparison of ERNA with echocardiography for left ventricular mechanical dyssynchrony
Indian Journal of Nuclear Medicine | Volume 34 | Issue 2 | April-June 2019 95
Cardiol1984;4:987‑98.
19. Vallejo E, Jiménez L, Rodríguez G, Roffe F, Bialostozky D.
Evaluation of ventricular synchrony with equilibrium
radionuclide angiography: Assessment of variability and
accuracy.ArchMedRes2010;41:83‑91.
20. Dormehl I, Burow R, Hugo N, Maree M, Van Zandwijk C,
Van Vuuren C, et al. Phase mapping from left ventricular
radionuclide ventriculograms: Interobserver reliability and
accuracyof the programme.Nucl Med Commun1987;8:805‑13.
21. Toussaint JF, Peix A, Lavergne T, Vicente FP, Froissart M,
Alonso C, et al. Reproducibility of the ventricular
synchronization parameters assessed by multiharmonic phase
analysis of radionuclide angiography in the normal heart. Int J
CardiovascImaging 2002;18:187‑94.
22. Singh H, Singhal A, Sharma P, Patel CD, Seth S, Malhotra A,
et al. Quantitative assessment of cardiac mechanical synchrony
using equilibrium radionuclide angiography. J Nucl Cardiol
2013;20:415‑25.
23. Suffoletto MS, Dohi K, Cannesson M, Saba S, Gorcsan J 3rd.
Novelspeckle‑trackingradialstrainfrom routineblack‑and‑white
echocardiographic images to quantify dyssynchrony and predict
response to cardiac resynchronization therapy. Circulation
2006;113:960‑8.
24. Gorcsan J 3rd, Tanabe M, Bleeker GB, Suffoletto MS,
Thomas NC, Saba S, et al. Combined longitudinal and
radial dyssynchrony predicts ventricular response after
resynchronizationtherapy.JAmColl Cardiol2007;50:1476‑83.
25. DelgadoV,YpenburgC,vanBommelRJ,TopsLF,MollemaSA,
Marsan NA, et al. Assessment of left ventricular dyssynchrony
by speckle tracking strain imaging comparison between
longitudinal, circumferential, and radial strain in cardiac
resynchronizationtherapy.JAmColl Cardiol2008;51:1944‑52.
26. Tanaka H, Hara H, Adelstein EC, Schwartzman D, Saba S,
GorcsanJ3rd, et al. Comparative mechanical activationmapping
of RV pacing to LBBB by 2D and 3D speckle tracking and
association with response to resynchronization therapy. JACC
CardiovascImaging 2010;3:461‑71.
27. Tanaka H, Hara H, Saba S, Gorcsan J 3rd. Usefulness
of three‑dimensional speckle tracking strain to quantify
dyssynchrony and the site of latest mechanical activation.Am J
Cardiol2010;105:235‑42.
28. Marcassa C, Campini R, Verna E, Ceriani L, Giannuzzi P.
Assessment of cardiac asynchrony by radionuclide phase
analysis: Correlation with ventricular function in patients
with narrow or prolonged QRS interval. Eur J Heart Fail
2007;9:484‑90.
29. GhioS,ConstantinC,KlersyC,SerioA,FontanaA,CampanaC,
et al. Interventricular and intraventricular dyssynchrony are
common in heart failure patients, regardless of QRS duration.
EurHeart J 2004;25:571‑8.
30. Hara H, Oyenuga OA, Tanaka H, Adelstein EC, Onishi T,
McNamara DM, et al. The relationship of QRS morphology
and mechanical dyssynchrony to long‑term outcome following
cardiacresynchronization therapy.Eur HeartJ2012;33:2680‑91.
31. BaderH, GarrigueS, LatteS,ReuterS,Jaïs P,HaïssaguerreM,
et al. Intra‑left ventricular electromechanical asynchrony.Anew
independent predictor of severe cardiac events in heart failure
patients.JAmColl Cardiol2004;43:248‑56.
[Downloaded free from http://www.ijnm.in on Thursday, May 2, 2019, IP: 91.234.79.75]