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Low septal to lateral wall 18F-FDG ratio is highly associated with mechanical dyssynchrony in non-ischemic CRT candidates

EJNMMI Research volume 9, Article number: 105 (2019) Cite this article

Abstract

Background

In order to better understand the concept of mechanical dyssynchrony, a promising hallmark of cardiac resynchronization therapy (CRT) response, we investigated its effect on regional myocardial metabolism and myocardial blood flow (MBF) in non-ischemic CRT candidates.

Results

Thirty consecutive non-ischemic CRT eligible patients underwent static 18F-FDG and resting dynamic 13N-NH3 PET/CT. 18F-FDG uptake and MBF for septal and lateral wall were analysed and septal-to-lateral wall ratios (SLR) were calculated. Based on the presence of mechanical dyssynchrony (septal flash and/or apical rocking) on echocardiography, patients were divided into 2 groups, with (n = 23) and without (n = 7) mechanical dyssynchrony.

Patients with mechanical dyssynchrony had significantly lower 18F-FDG SUVmean in the septum compared with the lateral wall (5.58 ± 2.65 vs 11.19 ± 4.10, p < 0.0001), while patients without mechanical dyssynchrony had a more homogeneous 18F-FDG distribution (7.33 ± 2.88 vs 8.31 ± 2.50, respectively, p = 0.30). Similarly, MBF was significantly different between the septal and lateral wall in the dyssynchrony group (0.57 ± 0.11 ml/g/min vs 0.92 ± 0.23 ml/g/min, respectively, p < 0.0001), whereas no difference was observed in the non-dyssynchrony group (0.61 ± 0.23 ml/g/min vs 0.77 ± 0.21 ml/g/min, respectively, p = 0.16). 18F-FDG SLR, but not MBF SLR, was associated with the presence of mechanical dyssynchrony and showed a significant inverse correlation with volumetric reverse remodeling after CRT (r = − 0.62, p = 0.001).

Conclusions

Non-ischemic heart failure patients with mechanical dyssynchrony demonstrate heterogeneous regional metabolism and MBF compared with patients without dyssynchrony. However, only 18F-FDG SLR appeared to be highly associated with the presence of mechanical dyssynchrony.

Trial registration

Clinicaltrials, NCT02537782. Registered 2 September 2015.

Introduction

During the last decade, ventricular conduction disturbances have been shown to be associated with adverse cardiac remodeling and to contribute to the development of heart failure (HF) and an increased risk of all-cause mortality [1]. Even though cardiac resynchronization therapy (CRT) is a promising therapy for patients with ventricular conduction abnormalities, 30–40% of patients do not respond to this treatment and therefore optimization of selection criteria for CRT candidates is still an active area of investigation [2]. Along with electrical dyssynchrony induced by inhomogeneous electrical activation of the left ventricle (LV), about 60–70% of patients also develop mechanical dyssynchrony, characterized by discoordinate myocardial deformation and inefficient contraction [3]. Septal flash (SF) and apical rocking (AR), surrogate markers of mechanical dyssynchrony, have been shown to be associated with favorable CRT response [3]. Deeper insights into pathophysiological processes related to mechanical dyssynchrony are needed, including changes in perfusion and metabolism, in order to better understand the adverse cardiac remodeling and to further improve patient selection for CRT.

Different non-invasive imaging techniques are currently available to evaluate regional changes in perfusion and metabolism and their interplay. 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography (PET) studies in patients with ventricular conduction abnormalities have shown regional changes in glucose metabolism with a relatively reduced glucose uptake in the septum compared with an increased uptake in the lateral wall [4, 5].

In contrast to the well-established changes in glucose uptake, data on myocardial perfusion in patients with ventricular dyssynchrony remain controversial. Experimental data have consistently shown a relative hypoperfusion in the septal wall compared with the lateral wall, while clinical studies predominantly reported a rather homogeneous perfusion across the LV, with only few studies showing septal hypoperfusion [4, 6, 7].

Despite several studies investigating myocardial metabolism and perfusion in patients with ventricular conduction abnormalities, data on the influence of mechanical dyssynchrony on these physiologic parameters are lacking.

The aim of our study was to investigate the effect of mechanical dyssynchrony on regional 18F-FDG uptake and absolute myocardial blood flow (MBF) (derived from 13N-NH3 kinetic models) in patients with non-ischemic cardiomyopathy, eligible for CRT.

Methods

Study population

Patients with non-ischemic HF referred for CRT implantation were recruited at the University Hospital Leuven and were part of the Leuven cohort of the WORK-CRT study (Clinical trials NCT02537782). Inclusion for CRT was based on the current ESC guidelines [8]. Coronary artery disease was excluded by late gadolinium enhancement cardiac magnetic resonance (CMR) and/or coronary angiography obtained no more than 3 months before CRT implantation and/or thorough evaluation of patient history and complaints by an experienced treating cardiologist. Exclusion criteria comprised the presence of a right bundle branch block, permanent atrial fibrillation/flutter or tachycardia (> 100 bpm), difficulties to obtain LV volumes by echocardiography, history and findings suggestive of ischemic myocardial disease, valve surgery within 90 days prior to enrolment, history of or listing for heart transplantation, implanted LV assist device, severe aortic stenosis, complex and uncorrected congenital heart disease, pregnant and breastfeeding women, and enrollment in one or more concurrent studies that would confound the results of this study. The study was approved by the institutional ethics committee and all patients gave written informed consent prior to inclusion and any study procedure.

Echocardiography

All patients underwent a standard two-dimensional echocardiography within 1 week before CRT implantation and approximately 12 months after CRT implantation using commercially available systems (Vivid E9 and E95, GE Vingmed Ultrasound, Horten, Norway). Acquired data were stored digitally and analysed off-line using an EchoPAC workstation (version 202, GE Vingmed Ultrasound). LV end-diastolic volume (EDV), end-systolic volume (ESV), and LV ejection fraction (LVEF) were measured using the modified biplane Simpson’s method. Volumetric reverse remodeling after CRT was assessed as the relative change in LV ESV between baseline and post-CRT (Δ LV ESV, %). Mechanical dyssynchrony was visually assessed by two independent readers (JD and MC) on pre-CRT echocardiography images. A third reader (JUV) blinded to previous readings was asked in case of disagreement. Patients were divided into 2 groups—one group with mechanical dyssynchrony defined by the presence of either AR or SF, or both, and another group without mechanical dyssynchrony (neither AR nor SF).

Additionally, pre-CRT echocardiography was used to calculate segmental myocardial work, using an 18 segment model and a method, previously described by our group [9]. In short, a dedicated, MATLAB-based (version 2017b, The MathWorks, Inc., Natick, MA, USA) research software (TVA version 22.00, JU Voigt, Leuven) was used to determine LV pressure estimates according to the method described by Russell [10]. LV segmental mid-wall curvature was dynamically estimated from full trace export of the speckle tracking software and used together with the segmental wall thickness measurements to estimate segmental wall stress according to the formula of Laplace. Segmental stress-strain loops were generated, the area of which was considered to represent myocardial work per volume-unit [9]. Regional myocardial work in the septum and lateral wall was calculated as average of the stress-strain loop areas of the basal, mid, and apical segments of the respective wall.

PET acquisition protocol

All patients underwent resting dynamic 13N-NH3 and static 18F-FDG PET studies (Biograph HiRez 16 PET/CT, Siemens, Erlangen, Germany) 1 week before CRT implantation (except for one patient who underwent a 99mTc-tetrofosmin perfusion scintigraphy). A scout acquisition followed by a low-dose CT (80 kVp, 11 mAs) was performed for optimal patient positioning and subsequent CT-based attenuation correction of the PET emission data.

For 13N-NH3 PET, a 30-min dynamic list-mode acquisition was started together with a slow bolus intravenous administration of 10 MBq/kg 13N-NH3. In case of a 1-day protocol, the 13N-NH3 scan always preceded the 18F-FDG scan with a minimum interval of 60 min between tracer administrations.

18F-FDG PET scan was performed using the hyperinsulinemic euglycemic clamp technique in accordance with the method of Lewis et al. [11]. After reaching a steady-state plasma glucose level, 4.25 MBq/kg 18F-FDG was administered intravenously and a 40-min acquisition was performed approximately 45 min after tracer administration.

Image processing

Before image reconstruction, alignment between PET and CT images was evaluated and manual realignment between both images was performed if deemed necessary by the investigator. All PET images were reconstructed using the ordered-subsets expectation maximization algorithms (4 iterations and 8 subsets), matrix size 256 × 256 and 5.0-mm Gaussian filter. Attenuation correction was performed using a low-dose CT scan.

18F-FDG PET static images were generated from the whole 40-min acquisition. 13N-NH3 list-mode file was rebinned into 22 frames (12 frames × 10 s, 4 frames × 30 s, 3 frames × 120 s, 1 frame × 180 s, 1 frame × 420 s, and 1 frame × 600 s).

PET image analysis

All reconstructed 13N-NH3 and 18F-FDG PET images were analysed using in-house developed software [12]. Briefly, each myocardial image was resampled into 16 radial slices and a 17 segment polar map was generated according to previously validated methods [12, 13]. LV polar map was divided into 4 regions corresponding to the septal, lateral, anterior, and inferior wall with exclusion of the apex (segment 17). Analysis of perfusion and metabolism was performed focusing on the septal and lateral wall.

Absolute quantification of MBF with 13N-NH3

Absolute quantification of MBF per region was performed by modelling the first 10-min emission data of 13N-NH3 using a two-tissue compartment model [14]. Estimated rate constants were calculated using a weighted least-square method and were corrected for spillover and partial volume effect, as previously reported [14]. Because the amount of 13N-NH3 metabolites is known to increase after the first 2 min after tracer administration, metabolite correction was performed [15]. In addition to regional absolute MBF, septal-to-lateral wall MBF ratio (SLR) was calculated by dividing mean MBF in the septum by mean MBF in the lateral wall.

Analysis of 18F-FDG uptake

Regional 18F-FDG uptake was expressed as mean standardized uptake value (SUVmean). Septal to lateral wall ratio (SLR) was calculated by dividing mean 18F-FDG uptake in the septum by mean uptake in the lateral wall.

Cardiac resynchronization therapy

CRT implantation was performed according to the guidelines [16]. In short, LV pacing leads were positioned, guided by coronary venography, preferably in the lateral and postero-lateral venous branches. After implantation, the device was set to bi-ventricular pacing in all patients.

Statistical analysis

Statistical analysis was performed using SPSS Statistics 20 (IBM, Chicago, IL, USA). Shapiro-Wilk test was used to check the normality of data distribution. Normally distributed continuous variables were expressed as mean ± standard deviation; otherwise, median and interquartile range was used. Categorical variables were represented as percentages. Paired and unpaired t test with Bonferroni correction was used for comparison of continuous variables, while contingency tables were used for categorical variables. The correlation between parameters was assessed with Pearson correlation coefficients for normally distributed data; otherwise, Spearman coefficient was used. Interobserver and intraobserver variability of echocardiographic measurements of mechanical dyssynchrony (SF, AR) was performed in the whole study population using Kappa statistics. All statistical tests were two-tailed. A p value of less than 0.05 was considered statistically significant.

Results

Patient characteristics

Thirty patients (mean age 68 ± 10 years, 16 (53%) males) were included in the study. Coronary artery disease was excluded by late gadolinium enhancement CMR in 23/30 patients, by coronary angiography in 2/30 patients and all patients underwent thorough evaluation of patient history and complaints by an experienced treating cardiologist.

All patients had echocardiography pre-CRT. Two patients died during the first 6 months of follow-up so post-CRT echocardiography was available in only 28 patients. On pre-CRT echocardiography, 23 (77%) patients had mechanical dyssynchrony, while 7 (23%) patients had no mechanical dyssynchrony. Among patients with mechanical dyssynchrony, 2 patients had only AR, 1 patient had only SF, and 20 patients had both AR or SF. The QRS morphology on surface ECG in patients with mechanical dyssynchrony was represented mainly by LBBB (91%), while QRS pattern in patients without mechanical dyssynchrony was represented by LBBB (57%), non-specific intraventricular conduction delay (29%), and right ventricular pacing (1%). Clinical characteristics of our study cohort are presented in Table 1.

Table 1 Clinical characteristics of patients
Full size table

Three patients had suboptimal quality of 18F-FDG scan and 1 patient underwent 99mTc-tetrofosmin perfusion scintigraphy instead of 13N-NH3 PET scan. After excluding these studies from the analysis, 27/30 and 29/30 patients have successfully completed respectively a 18F-FDG and 13N-NH3 PET scan. These scans were included in the further analysis independently of each other and were distributed between both patient groups as follows: 21 18F-FDG and 22 13N-NH3 scans belonged to the group of mechanical dyssynchrony while 6 18F-FDG and 7 13N-NH3 scans represented the group without mechanical dyssynchrony.

Regional 18F-FDG uptake

A significantly lower 18F-FDG SUVmean in the septum compared with the lateral wall was observed in the group with mechanical dyssynchrony (SUVmean 5.6 ± 2.7 vs 11.2 ± 4.1, respectively, p < 0.0001), while in the group without dyssynchrony, 18F-FDG distribution did not differ between septal and lateral wall (SUVmean 7.3 ± 2.9 vs 8.3 ± 2.5, respectively, p = 0.3) (Fig. 1a). 18F-FDG uptake in the lateral wall in patients with mechanical dyssynchrony was higher compared with those without, albeit not significantly (p = 0.1). Even though septal FDG uptake was lower in patients with mechanical dyssynchrony compared with patients without mechanical dyssynchrony, here there was no statistically significant difference between both groups (p = 0.22).

Fig. 1
figure 1

Regional glucose metabolism and myocardial blood flow (MBF). Regional glucose metabolism (18F-FDG uptake) (a) and MBF (b) in patients with and without mechanical dyssynchrony. SEPT, septum; LAT, lateral wall. ***p ≤ 0.0001

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Regional MBF

A significantly lower MBF in the septum compared with the lateral wall was observed in the group with mechanical dyssynchrony (0.6 ± 0.1 ml/g/min vs 0.9 ± 0.2 ml/g/min, respectively, p < 0.0001), while in the group without dyssynchrony, there was no statistical difference in the MBF between both walls (0.6 ± 0.2 ml/g/min vs 0.8 ± 0.2 ml/g/min, respectively, p = 0.16). No difference in regional MBF between both patient groups was observed (Fig. 1b).

Relation between regional metabolism, MBF, and myocardial work

In the group with mechanical dyssynchrony, a significantly lower myocardial work was observed in the septum compared with the lateral wall (370 ± 816 mmHg*% vs 3174 ± 1033 mmHg*%, respectively, p < 0.0001), whereas no regional differences in myocardial work were observed in the group without mechanical dyssynchrony (2017 ± 685 mmHg*% vs 2267 ± 572 mmHg*%, respectively, p = 0.26). There was significantly less work performed by the septum in the group of dyssynchrony compared with the non-dyssynchrony group (370 ± 816 mmHg*% vs 2017 ± 685 mmHg*%, respectively, p = 0.0007). Additionally, negative (wasted) work was observed in the septum of 40% of patients with mechanical dyssynchrony, but never in patients without dyssynchrony. The work performed by the lateral wall was borderline significantly higher (p = 0.05) in the group with dyssynchrony compared with the group without dyssynchrony (3174 ± 1033 mmHg*% vs 2267 ± 572 mmHg*%, respectively).

Both regional glucose metabolism and MBF linearly correlated with regional myocardial work (r = 0.65 and r = 0.5, respectively, p < 0.0001) (Fig. 2a, b). A representative example of the distribution of metabolism, perfusion, and work between septal and lateral wall in patients with and without mechanical dyssynchrony is shown in Fig. 3.

Fig. 2
figure 2

Correlation plots between myocardial work versus glucose metabolism and perfusion. Correlation between myocardial work and glucose metabolism (18F-FDG) (a) and myocardial work and MBF (b), measured in the septum and lateral wall in patients with and without mechanical dyssynchrony

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Fig. 3
figure 3

Representative example of the regional glucose metabolism, MBF, and workload. The figure shows lower septal compared with the lateral wall glucose metabolism, MBF, and workload in a patient with mechanical dyssynchrony and relatively homogeneous glucose metabolism, MBF, and workload in a patient without mechanical dyssynchrony

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Effect of mechanical dyssynchrony on 18F-FDG and MBF SLR and its relation to volumetric reverse remodeling

Patients with mechanical dyssynchrony demonstrated larger volumetric reverse remodeling 12 months after CRT compared with patients without mechanical dyssynchrony (Δ LV ESV 47 ± 14% vs − 3 ± 20%, p < 0.0001).

Patients with mechanical dyssynchrony compared with patients without mechanical dyssynchrony had a significantly lower 18F-FDG SLR (0.5 ± 0.1 vs 0.9 ± 0.2, respectively, p = 0.02). However, no differences between both groups were observed in MBF SLR (0.7 ± 0.2 vs 0.8 ± 0.2, respectively, p = 0.2). Pre-CRT 18F-FDG SLR showed a significant inverse correlation with volumetric reverse remodeling 12 months after CRT (r = − 0.62, p = 0.001) (Fig. 4a). Pre-CRT MBF SLR did not show a significant correlation with volumetric reverse remodeling (r = − 0.042, p = 0.8) (Fig. 4b).

Fig. 4
figure 4

Correlation plots between volumetric reverse remodeling versus 18F-FDG and MBF SLRs. Correlation plot between 18F-FDG SLR versus Δ LV ESV (a) and MBF SLR versus Δ LV ESV (b) in patients with and without mechanical dyssynchrony

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Reproducibility of assessment of mechanical dyssynchrony

Echocardiographic assessment of the presence of mechanical dyssynchrony demonstrated good intraobserver (κ = 0.85 (95% CI, 0.70–0.99), p < 0.0001) and interobserver (κ = 0.81 (95% CI, 0.64–0.98), p < 0.0001) agreement.

Discussion

The main finding of our study in non-ischemic CRT candidates is the regional heterogeneity of myocardial glucose metabolism and perfusion in the presence of LV mechanical dyssynchrony, which can be attributed to the regional differences in myocardial loading conditions. Low 18F-FDG SLR appeared to be highly associated with the presence of mechanical dyssynchrony and showed a good inverse correlation with volumetric reverse remodeling after CRT.

Regional myocardial 18F-FDG uptake

Our study showed that non-ischemic HF patients eligible for CRT, who present with mechanical dyssynchrony, have heterogeneous regional glucose metabolism with a twofold higher 18F-FDG uptake in the lateral wall compared with septum. In contrast, patients without mechanical dyssynchrony revealed an almost homogeneous metabolism.

Previous studies have demonstrated regional 18F-FDG uptake heterogeneity in the presence of ventricular conduction abnormalities. An experimental study of Ono et al. showed a significantly higher 18F-FDG uptake in the lateral wall compared with the septum (88.0 ± 5.2% versus 67.4 ± 12.1%) in right ventricular pacing [6]. Similar findings in patients with dilated cardiomyopathy and LBBB were reported by Nowak et al. [4]. However, regional glucose metabolism in the presence of mechanical dyssynchrony was not investigated in these studies; hence, a direct comparison with our findings cannot be performed.

Furthermore, Castro et al. showed marked overall LV 18F-FDG uptake heterogeneity in non-ischemic HF patients with mechanical dyssynchrony as evaluated by SPECT phase analysis [17]. This is in line with our findings, where patients with mechanical dyssynchrony showed pronounced differences in 18F-FDG uptake between septal and lateral wall, hence also overall LV heterogeneity. While in the study of Castro et al. all patients without mechanical dyssynchrony also demonstrated heterogeneity in LV metabolism, even though less pronounced, we could not confirm these findings in our study cohort. This discrepancy can be due to the small number of participants (n = 7) in our group of patients without dyssynchrony. However, our study population (23% without mechanical dyssynchrony) comes close to the real-world situation where about 30–35% CRT candidates do not present neither AR nor SF on echocardiography [3]. Additionally, the effect of using different modalities (SPECT vs. echocardiography) and approaches (automatic vs visual) for the assessment of mechanical dyssynchrony should not be neglected when comparing the results. Unfortunately, a more detailed comparison between both studies cannot be performed, as the study of Castro et al. did not explore LV metabolism per region.

Regional absolute MBF

Similar to 18F-FDG findings, regional differences in MBF were pronounced only in the dyssynchrony patients while no differences were observed in the group without mechanical dyssynchrony.

There is a lot of controversy on regional myocardial perfusion in patients with ventricular conduction abnormalities, which may be attributed to the use of different imaging modalities, radiopharmaceuticals, study protocols, and approaches for flow assessment. The study by Baller et al. showed a low absolute MBF in the septal and high MBF in the lateral wall using 11C-acetate, while the study of Koepfli et al. showed a more homogeneous perfusion at rest using 15O-water [18, 19]. In the latter study, regional perfusion inhomogeneity was observed only during stress imaging which could be explained by the fact that ‘stress’ increases the imbalance in regional mechanical work resulting in higher regional perfusion changes [20]. Masci et al. reported a homogeneous 13N-NH3 MBF between LV walls in patients with LBBB and dilated cardiomyopathy, which may be explained by the inclusion of patients without advanced disease when LV dyssynchrony was not pronounced enough to induce perfusion heterogeneities as well as by the simplified approach of myocardial perfusion assessment [21].

However, also here, a direct comparison with our results cannot be performed, as abovementioned studies were not focusing on MBF in the presence of mechanical dyssynchrony, but rather analysed an overall population with ventricular conduction abnormalities irrespective of mechanical dyssynchrony. On the other hand, findings in the literature should be mainly driven by patients with mechanical dyssynchrony, as about 65% of patients with ventricular conduction abnormalities have at least one echocardiographic sign of mechanical dyssynchrony (AR or SF) [3]. Hence, decreased perfusion in the septum compared with lateral wall as described by aforementioned studies is in line with the heterogeneous regional perfusion in the dyssynchrony group reported in our study.

Relation between regional metabolism, MBF, and myocardial work

Linear correlation between workload vs metabolism and workload vs MBF, demonstrated in our study, explains the different regional distribution patterns of both parameters between patients with and without mechanical dyssynchrony.

The patient group without mechanical dyssynchrony did not present any regional heterogeneity neither in myocardial work, nor in metabolism or MBF, suggesting that despite electrical dyssynchrony on ECG, all myocardial walls equally contribute to LV contraction, requiring comparable amount of energy and oxygen. In contrast, patients with mechanical dyssynchrony showed a pronounced regional heterogeneity in all three mentioned parameters with a clear shift of the septal values to the lower end and lateral wall towards the higher end of the spectrum. In this group of patients, septum does not significantly contribute to LV contraction, but rather wastes energy by stretching the opposite segments, whereas the lateral wall is the region which contributes the most to LV performance. The lateral wall, which is pre-stretched by the early-activated septum, contracts with a greater force (according to Frank-Starling law) and compensates for the zero external work of the septum. Such a redistribution of myocardial work, with unloading of the early-activated septum and a higher load in the late-activated lateral wall, causes a respective adaptation of regional energy and oxygen demand which explains the high metabolism and perfusion in the lateral wall and the low values in the septum observed in our study.

Effect of mechanical dyssynchrony on SLRs and its relation to volumetric reverse remodeling

Despite the regional differences in both glucose metabolism and perfusion in patients with mechanical dyssynchrony, only 18F-FDG SLR and not MBF SLR was associated with the presence of mechanical dyssynchrony.

Several studies have demonstrated that the presence of mechanical dyssynchrony is favorable for volumetric CRT response [3, 22, 23]. However, the inconsistent results in the literature, controversy around the definition of mechanical dyssynchrony, and the lack of randomized trials have so far prevented the general acceptance and inclusion of mechanical dyssynchrony in CRT guidelines. On the other hand, relatively simple markers of mechanical dyssynchrony, such as AR and SF, used in our study and validated earlier, have been shown to be reliable and reproducible as surrogates for mechanical dyssynchrony [24]. Interestingly, in our study almost all patients with SF and/or AR had LBBB QRS morphology on surface ECG, while QRS patterns of non-dyssynchrony patients were more diverse and consisted of LBBB, right ventricular pacing, and non-specific intraventricular conduction delay. These findings demonstrate that LBBB is often, but not always, associated with mechanical dyssynchrony. This might be one of the reasons why not all patients fulfilling the current criteria for CRT implantation successfully respond to this therapy and highlights the need to define other parameters that may better identify patients who will most likely benefit from CRT.

In contrast, low 18F-FDG SLR is associated with the presence of at least one of these echocardiographic markers of mechanical dyssynchrony. Furthermore, 18F-FDG SLR showed a good inverse correlation with volumetric reverse remodeling 12 months after CRT implantation. Interestingly, the majority of patients with good reverse remodeling belonged to the group of mechanical dyssynchrony. Our findings highlight the existing relation between mechanical dyssynchrony, 18F-FDG SLR, and volumetric reverse remodeling and may indicate a place for nuclear imaging in prediction of CRT response. Further studies are needed to explore this assumption further, especially in ischemic patients or patients with a QRS duration between 120 and 150 ms, who still remain a major challenge to improve the response rate to CRT.

Study limitations

Although ischemia was excluded in our patient cohort based on late gadolinium enhancement CMR and/or coronary angiography 3 months prior to CRT implantation and/or thorough clinical evaluation of patient history and complaints, one cannot completely rule out ischemia at the time of CRT implantation; however, these chances are negligible.

In the current study, clinically used reconstruction algorithms and software programs were applied without correcting for partial volume effect, which may lead to a slight underestimation of the true tracer concentration in the thinned LV walls.

We did not perform absolute quantification of cardiac glucose metabolism, but only glucose uptake defined by SUVmean was used in the current study. Quantification of glucose consumption as well as using other metabolic PET tracers such as 11C-acetate could help to better understand the pathophysiological mechanisms and metabolic adaptations during abnormal LV activation patterns.

Another limitation is the difference in LV segmentation models used for perfusion/metabolism (17 AHA model) and regional myocardial work (18 segment model). However, since regional values were represented as averages of corresponding segments and since the difference between both segmentation models is only the exclusion of the small apical region, we believe that the influence on the correlation between SLRs and work is negligible.

Conclusions

Non-ischemic HF patients with mechanical dyssynchrony demonstrate heterogeneous regional glucose metabolism and MBF, while patients without mechanical dyssynchrony do not, which can be attributed to alterations in regional myocardial workload between both groups. 18F-FDG SLR appeared to be highly associated with the presence of mechanical dyssynchrony and should be explored as a possible predictor for favorable CRT response.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on request

Abbreviations

AR:

Apical rocking

CRT:

Cardiac resynchronization therapy

18F-FDG:

18F-fluorodeoxyglucose

HF:

Heart failure

LBBB:

Left bundle branch block

LV:

Left ventricular

MBF:

Myocardial blood flow

PET:

Positron emission tomography

SF:

Septal flash

SLR:

Septal to lateral wall ratio

SUV:

Standardized uptake values

References

  1. Hesse B, Diaz LA, Snader CE, Blackstone EH, Lauer MS. Complete bundle branch block as an independent predictor of all-cause mortality: report of 7,073 patients referred for nuclear exercise testing. Am J Med. 2001;110:253–9.

    Article  CAS  Google Scholar 

  2. Ypenburg C, Westenberg JJ, Bleeker GB, Van de Veire N, Marsan NA, Henneman MM, et al. Noninvasive imaging in cardiac resynchronization therapy-part 1: selection of patients. Pace-Pacing Clin Electrophysiol 2008;31:1475–1499. doi:https://doi.org/10.1111/j.1540-8159.2008.01212.x.

    Article  Google Scholar 

  3. Stankovic I, Prinz C, Ciarka A, Daraban AM, Kotrc M, Aarones M, et al. Relationship of visually assessed apical rocking and septal flash to response and long-term survival following cardiac resynchronization therapy (PREDICT-CRT). Eur Heart J Cardiovasc Imaging. 2016;17:262–9. https://doi.org/10.1093/ehjci/jev288.

    Article  PubMed  Google Scholar 

  4. Nowak B, Sinha AM, Schaefer WM, Koch KC, Kaiser HJ, Hanrath P, et al. Cardiac resynchronization therapy homogenizes myocardial glucose metabolism and perfusion in dilated cardiomyopathy and left bundle branch block. J Am Coll Cardiol. 2003;41:1523–8. https://doi.org/10.1016/S0735-1097(03)00257-2.

    Article  PubMed  Google Scholar 

  5. Zanco P, Desideri A, Mobilia G, Cargnel S, Milan E, Celegon L, et al. Effects of left bundle branch block on myocardial FDG PET in patients without significant coronary artery stenoses. J Nucl Med. 2000;41:973–7.

    CAS  PubMed  Google Scholar 

  6. Ono S, Nohara R, Kambara H, Okuda K, Kawai C. Regional myocardial perfusion and glucose metabolism in experimental left bundle branch block. Circulation. 1992;85:1125–31.

    Article  CAS  Google Scholar 

  7. Nowak B, Stellbrink C, Schaefer WM, Sinha AM, Breithardt OA, Kaiser H-J, et al. Comparison of regional myocardial blood flow and perfusion in dilated cardiomyopathy and left bundle branch block: role of wall thickening. J Nucl Med. 2004;45:414–8.

    PubMed  Google Scholar 

  8. European Society of Cardiology (ESC), European Heart Rhythm Association (EHRA), Brignole M, Auricchio A, Baron-Esquivias G, Bordachar P, et al. 2013 ESC guidelines on cardiac pacing and cardiac resynchronization therapy: the task force on cardiac pacing and resynchronization therapy of the European Society of Cardiology (ESC). Developed in collaboration with the European Heart Rhythm Association. Europace. 2013;15:1070–118. https://doi.org/10.1093/europace/eut206.

    Article  Google Scholar 

  9. Cvijic M, Duchenne J, Unlü S, Michalski B, Aarones M, Winter S, et al. Timing of myocardial shortening determines left ventricular regional myocardial work and regional remodelling in hearts with conduction delays. Eur Heart J Cardiovasc Imaging. 2018;19:941–9. https://doi.org/10.1093/ehjci/jex325.

    Article  PubMed  Google Scholar 

  10. Russell K, Eriksen M, Aaberge L, Wilhelmsen N, Skulstad H, Remme EW, et al. A novel clinical method for quantification of regional left ventricular pressure–strain loop area: a non-invasive index of myocardial work. Eur Heart J. 2012;33:724–33. https://doi.org/10.1093/eurheartj/ehs016.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Lewis P, Nunan T, Dynes A, Maisey M. The use of low-dose intravenous insulin in clinical myocardial F-18 FDG PET scanning. Clin Nucl Med. 1996;21:15–8.

    Article  CAS  Google Scholar 

  12. Nuyts J, Suetens P, Oosterlinck A, De Roo M, Mortelmans L. Delineation of ECT images using global constraints and dynamic programming. IEEE Trans Med Imaging. 1991;10:489–98. https://doi.org/10.1109/42.108582.

    Article  CAS  PubMed  Google Scholar 

  13. Cerqueira MD, Weissman NJ, Dilsizian V, Jacobs AK, Kaul S, Laskey WK, et al. Standardized myocardial segmentation and nomenclature for tomographic imaging of the heart. A statement for healthcare professionals from the Cardiac Imaging Committee of the Council on Clinical Cardiology of the American Heart Association. Circulation. 2002;105:539–42.

    Article  Google Scholar 

  14. Hutchins GD, Schwaiger M, Rosenspire KC, Krivokapich J, Schelbert H, Kuhl DE. Noninvasive quantification of regional blood flow in the human heart using N-13 ammonia and dynamic positron emission tomographic imaging. J Am Coll Cardiol. 1990;15:1032–42.

    Article  CAS  Google Scholar 

  15. Bormans G, Maes A, Langendries W, Nuyts J, Vrolix M, Vanhaecke J, et al. Metabolism of nitrogen-13 labelled ammonia in different conditions in dogs, human volunteers and transplant patients. Eur J Nucl Med. 1995;22:116–21.

    Article  CAS  Google Scholar 

  16. Vardas PE, Auricchio A, Blanc J-J, Daubert J-C, Drexler H, Ector H, et al. Guidelines for cardiac pacing and cardiac resynchronization therapy. The task force for cardiac pacing and cardiac resynchronization therapy of the European Society of Cardiology. Developed in collaboration with the European Heart Rhythm Association. Europace. 2007;9:959–98. https://doi.org/10.1093/europace/eum189.

    Article  PubMed  Google Scholar 

  17. Castro P, Winter JL, Verdejo H, Orellana P, Quintana JC, Greig D, et al. Relationship between mechanical and metabolic dyssynchrony with left bundle branch block: evaluation by 18-fluorodeoxyglucose positron emission tomography in patients with non-ischemic heart failure. J Heart Lung Transplant. 2012;31:1096–101. https://doi.org/10.1016/j.healun.2012.07.002.

    Article  PubMed  Google Scholar 

  18. Baller D, Vogt J, Lindner O, Lamp B, Holzinger J, Kammeier A, et al. Myocardial oxygen consumption and perfusion before and after cardiac resynchronization therapy: experimental observations and clinical implications. Eur Heart J Suppl. 2004;6. https://doi.org/10.1016/j.ehjsup.2004.05.001.

    Article  Google Scholar 

  19. Koepfli P, Wyss CA, Gaemperli O, Siegrist PT, Klainguti M, Schepis T, et al. Left bundle branch block causes relative but not absolute septal underperfusion during exercise. Eur Heart J. 2009;30:2993–9. https://doi.org/10.1093/eurheartj/ehp372.

    Article  PubMed  Google Scholar 

  20. Stankovic I, Aarones M, Smith H-J, Vörös G, Kongsgaard E, Neskovic AN, et al. Dynamic relationship of left-ventricular dyssynchrony and contractile reserve in patients undergoing cardiac resynchronization therapy. Eur Heart J. 2014;35:48–55. https://doi.org/10.1093/eurheartj/eht294.

    Article  CAS  PubMed  Google Scholar 

  21. Masci PG, Marinelli M, Piacenti M, Lorenzoni V, Positano V, Lombardi M, et al. Myocardial structural, perfusion, and metabolic correlates of left bundle branch block mechanical derangement in patients with dilated cardiomyopathy: a tagged cardiac magnetic resonance and positron emission tomography study. Circ Cardiovasc Imaging. 2010;3:482–90. https://doi.org/10.1161/CIRCIMAGING.109.934638.

    Article  PubMed  Google Scholar 

  22. Tao N, Qiu Y, Tang H, Qian Z, Wu H, Zhu R, et al. Assessment of left ventricular contraction patterns using gated SPECT MPI to predict cardiac resynchronization therapy response. J Nucl Cardiol. 2018;25:2029–38. https://doi.org/10.1007/s12350-017-0949-1.

    Article  PubMed  Google Scholar 

  23. Mukherjee A, Patel CD, Naik N, Sharma G, Roy A. Quantitative assessment of cardiac mechanical dyssynchrony and prediction of response to cardiac resynchronization therapy in patients with nonischaemic dilated cardiomyopathy using gated myocardial perfusion SPECT. Nucl Med Commun. 2015;36:494–501. https://doi.org/10.1097/MNM.0000000000000282.

    Article  PubMed  Google Scholar 

  24. Beela AS, Ünlü S, Duchenne J, Ciarka A, Daraban AM, Kotrc M, et al. Assessment of mechanical dyssynchrony can improve the prognostic value of guideline-based patient selection for cardiac resynchronization therapy. Eur Hear J Cardiovasc Imaging. 2018:1–9. https://doi.org/10.1093/ehjci/jey029.

    Article  Google Scholar 

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Acknowledgements

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Disclosures

All authors report no relationships that could be construed as a conflict of interest.

Funding

This work was supported by a KU Leuven research grant [OT/12/084]. OG and JUV are senior clinical investigators of the Fund for Scientific Research Flanders (FWO).

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Authors and Affiliations

  1. Department of Imaging and Pathology, KU Leuven, Leuven, Belgium

    Ganna Degtiarova, Georg Schramm, Johan Nuyts & Olivier Gheysens

  2. Nuclear Medicine and Molecular Imaging, University Hospitals Leuven, Leuven, Belgium

    Ganna Degtiarova & Olivier Gheysens

  3. Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium

    Piet Claus, Jürgen Duchenne & Jens-Uwe Voigt

  4. Department of Cardiovascular Diseases, University Hospitals Leuven, Leuven, Belgium

    Jürgen Duchenne, Marta Cvijic & Jens-Uwe Voigt

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  1. Ganna Degtiarova
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  8. Olivier Gheysens
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Contributions

GD, PC, JD, JUV, and OG have made substantial contributions to the conception. GD, PC, and OG designed the work. GD, JD, MC, GS, and JN the acquired and analysed the data. GD, PC, and OG interpreted the data. JN created a new software used in the work. GD, PC, JD, MC, GS, JN, JUV, and OG have drafted the work or substantively revised it. GD, PC, JD, MC, GS, JN, JUV, and OG have approved the submitted version. GD, PC, JD, MC, GS, JN, JUV, and OG have agreed both to be personally accountable for the author’s own contributions and to ensure that questions related to the accuracy or integrity of any part of the work, even ones in which the author was not personally involved, are appropriately investigated, resolved, and the resolution documented in the literature. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Olivier Gheysens.

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The study was approved by UZ Leuven Medical Ethical Committee, study number S58235.

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Degtiarova, G., Claus, P., Duchenne, J. et al. Low septal to lateral wall 18F-FDG ratio is highly associated with mechanical dyssynchrony in non-ischemic CRT candidates. EJNMMI Res 9, 105 (2019). https://doi.org/10.1186/s13550-019-0575-9

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