Skip to main content
Download PDF

Comparative efficacy of image-guided techniques in cardiac resynchronization therapy: a meta-analysis

BMC Cardiovascular Disorders volume 21, Article number: 255 (2021) Cite this article

Abstract

Background

Several studies have illustrated the use of echocardiography, magnetic resonance imaging, and nuclear imaging to optimize left ventricular (LV) lead placement to enhance the response of cardiac resynchronization therapy (CRT) in heart failure patients. We aimed to conduct a meta-analysis to determine the incremental efficacy of image-guided CRT over standard CRT.

Methods

We searched PubMed, Cochrane library, and EMBASE to identify relevant studies. The outcome measures of cardiac function and clinical outcomes were CRT response, concordance of the LV lead to the latest sites of contraction (concordance of LV), heart failure (HF) hospitalization, mortality rates, changes of left ventricular ejection fraction (LVEF), and left ventricular end-systolic volume (LVESV).

Results

The study population comprised 1075 patients from eight studies. 544 patients underwent image-guided CRT implantation and 531 underwent routine implantation without imaging guidance. The image-guided group had a significantly higher CRT response and more on-target LV lead placement than the control group (RR, 1.33 [95% CI, 1.21 to 1.47]; p < 0.01 and RR, 1.39 [95% CI, 1.01 to 1.92]; p < 0.05, respectively). The reduction of LVESV in the image-guided group was significantly greater than that in the control group (weighted mean difference, − 12.46 [95% CI, − 18.89 to − 6.03]; p < 0.01). The improvement in LVEF was significantly higher in the image-guided group (weighted mean difference, 3.25 [95% CI, 1.80 to 4.70]; p < 0.01). Pooled data demonstrated no significant difference in HF hospitalization and mortality rates between two groups (RR, 0.89 [95% CI, 0.16 to 5.08]; p = 0.90, RR, 0.69 [95% CI, 0.37 to 1.29]; p = 0.24, respectively).

Conclusions

This meta-analysis indicates that image-guided CRT is correlated with improved CRT volumetric response and cardiac function in heart failure patients but not with lower hospitalization or mortality rate.

Peer Review reports

Background

Heart failure (HF) affects an approximate 37.7 million people worldwide [1]. Although drug therapy for HF has made significant progress in recent years [2, 3], most patients continue to suffer from poor prognosis and high fatality rate [4]. Cardiac resynchronization therapy (CRT) are now being widely accepted as a significant component of standard HF therapy. In most patients with appropriate indications, CRT reduces clinical symptoms, improves exercise tolerance, and reverses cardiac remodeling [5]. However, a substantial number of patients have a poor response to CRT [6]. Several studies have shown that the area of left ventricular (LV) with the most delayed mechanical activation is the ideal site for LV lead placement [7, 8]. Therefore, the target vessel position of the LV lead is an essential factor in determining CRT response. It remains technically challenging to locate the LV lead in this ideal area through coronary venography. Several image-guided methods have been proposed to locate this area, including echocardiography (ECHO) [9, 10], and cardiac magnetic resonance imaging (CMR) [11]. Speckle tracking ECHO (STE) provides myocardial strain measurement to distinguish zones of scarred myocardium, as well as vital features of dyssynchrony [12]. Phase analysis (PA) technique based on the single-photon emission computed tomography myocardial perfusion imaging (SPECT MPI) is another newly innovative imaging modality, with potential to identify LV mechanical dyssynchrony, latest-excited sites, and myocardial scar load [13]. The 13-segmentation polar map based on this PA technique is capable of displaying a mean phase angle, and thus allowing the identification of systolic dyssynchrony as well as the late contracting segments. To date, several studies, despite inconsistency in research strategies and reporting mechanisms, have reported that image-guided techniques were associated with improved CRT efficacy. The primary objective of this study was to evaluate the evidence surrounding this proposed efficacy improvement secondary to imaging guided CRT placement. To that end, we undertook a meta-analysis of the published literature pertaining to the documentation of clinical outcomes from image-guided CRT implantation in HF patients.

Methods

Eligibility and search strategy

A comprehensive literature search of the PubMed, Cochrane library, and EMBASE databases (from inception to November 2020) were conducted to identify primary studies reporting associations between image-guided LV lead placement and CRT efficacy. Keywords used for literature search included: “left ventricular lead placement”, “cardiac resynchronization therapy”, “image-guided”, “echocardiography-guided”, “multimodality imaging”, and “SPECT-guided”. Additionally, pertinent publications found by review of citation lists of identified publication were examined. The meta-analysis was subsequently performed in adherence to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement (Additional file 1: Table S1)[14].

Inclusion and exclusion criteria

Publications identified from abovementioned databases were individually screened by titles, abstracts, methods and results to meet the following inclusion criteria: (1) prospective, randomized controlled trials (RCTs) or observational (prospective or retrospective cohort) studies; (2) patients recruited with confirmed HF diagnoses; (3) patients received a CRT pacemaker (CRT-P) or a CRT defibrillator (CRT-D) device; (4) association between image-guided LV lead placement and CRT response reported; (5) CRT response used as a measure of outcome; (6) the period of follow-up was ≥ 6 months. The exclusion criteria applied were: (1) RCTs without treatment groups; (2) patients were treated with other interventions.

Quality assessment

The quality for the included RCTs was assessed based on the Cochrane Risk of Bias tool by Review Manager 5.1. Quality item was classified as high risk, low risk, or unclear risk. The assessment is divided into six parts (key points of quality assessment are listed in Table 1). The studies were regarded as high quality, low quality, or moderate quality with the following principles: (1) if both randomization and allocation concealment were evaluated as a low risk of bias, studies were regarded as high quality; (2) if either allocation concealment or randomization was evaluated as a high risk of bias, studies were regarded as low quality; (3) remaining studies were regarded as moderate quality. The quality of the included observational studies was evaluated using the Newcastle–Ottawa Scale based on the methods of selection (4 stars), comparability (2 stars), and outcome (3 stars).

Table 1 The methodological quality of RCTs based on the Cochrane handbook
Full size table

Data extraction

The following pre-determined findings were identified and recorded when provided from each of the eligible publications: (1) general information: publication year, lead author(s), and the origin of the population; (2) study characteristics: subject age and gender, numbers of cases, mean follow-up duration, study design, QRS duration, New York Heart Association (NYHA) grades, and types of intervention performed; (3) assessment of cardiac functions and clinical outcomes: mean and standard deviation (SD) of Left ventricular ejection fraction (LVEF) and Left ventricular end-systolic volume (LVESV), concordance of LV lead to the latest sites of contraction (concordance of LV), CRT response, HF-related hospitalization, and all-cause mortality. The data extraction was performed by two investigators independently. A consensus was reached for any disagreement based on discussions between two researchers or the involvement of a third independent investigator. The CRT response was defined as LV reverse remodeling (≥ 15% reduction in LVESV) at 6 months.

Statistical analysis

Statistical analysis was performed using Review Manager 5.3.5 (The Cochrane Collaboration, Oxford, England). The relative risk ratio (RR) and its 95% confidence interval (CI) were used to compare CRT response, concordance of LV, mortality and HF hospitalization rates between the image-guided CRT and the standard CRT groups. The weighted mean difference (WMD) and its 95% CI were calculated to assess the differences in LVESV and LVEF between both groups. The heterogeneity among the analyzed studies was tested by the Cochrane Q statistic and the I2 value. To investigate additional factors impacting these results, we conducted a subgroup analysis based on country, study design, as well as LVEF and LVESV ranges. P values were calculated between subgroups by the interaction test. To evaluate the robustness of pooled results, we performed sensitivity analysis by excluding low or specific studies. The fixed-effect model was used when no statistical heterogeneity between studies (P > 0.1, I2 < 50%) was detected and the random-effects model was used when heterogeneity was deemed significant. Publication bias was visually assessed using funnel plots. Statistical significance was defined as P < 0.05.

Results

Search Results

The search strategy generated 122 publications, of which 102 were excluded based on abstract review and titles. Two studies with inappropriately controlled groups were then excluded. Finally, eight studies (4 RCTs and 4 observational studies) were included [15,16,17,18,19,20,21,22]. The study population encompassed by the 8 publications identified as described above consisted of 1075 patients. Flow diagram for study selection is presented in Fig. 1.

Fig. 1
figure 1

Flow diagram for study selection

Full size image

Study characteristics

Baseline characteristics of included studies are shown in Table 2. The trials by Saba et al. [17] and Khan et al. [16] utlized STE, while Bai et al. [15] applied intracardiac ECHO coupled with vector velocity imaging (VVI). Bertini et al. [18] evaluated the role of CMR in CRT implantation. Sommer et al. [19] used multimodality imaging-guided (cardiac computed tomography, STE, and SPECT) techniques to guide LV lead placement to the ideal coronary sinus branch. In contrast, Salden et al. [20] assessed Real-time image-guided LV lead placement by fusion of fluoroscopy images with CMR images. The GUIDECRT trial by Zou et al. [21] validated the improvement of CRT efficacy guided by SPECT. Mele et al. [22] investigated the feasibility of LV lead placement directed by parametric two-dimensional STE with polar plots of the amplitude and timing of LV longitudinal strain. In total, 544 patients underwent image-guided CRT implantation and 531 underwent routine implantation without imaging guidance. Follow-up durations ranged from 6 months to 2 years. The outcome results of the individual study are shown in Table 3.

Table 2 Baseline characteristics of the included studies and patients
Full size table
Table 3 Outcomes of the included studies
Full size table

Quality assessment

One RCT reported the generation process of adequate random sequence and the allocation concealment [16]; therefore, it was regarded as high quality. Another three RCT studies were deemed moderate quality [17, 19, 21]. Based on the Newcastle–Ottawa Scale for risk-stratifying observational study biases, three studies received eight stars [15, 18, 20], and one study received seven stars [22]. Quality assessments of the included RCTs are presented in Table 1.

Meta-analysis

CRT response

Seven studies reported direct comparison of responses between image-guided CRT and standard CRT placements [15,16,17,18,19, 21, 22]. All seven studies showed that participants undergoing image-guided CRT had significantly higher CRT response rates. There was statistically a significant association between image-guided CRT placement and improved CRT responses (RR, 1.33 [95% CI, 1.21 to 1.47]; p < 0.01, Fig. 2), when compared to standard CRT treatment with null heterogeneity (P = 0.71; I2 = 0).

Fig. 2
figure 2

Forest plot of CRT response between groups. A fixed-effects model and Mantel–Haenszel method were used to pool data. Abbreviations: CI, confidence interval; CRT, Cardiac resynchronization therapy

Full size image

Improvement in LVEF

Seven studies with available LVEF data were included for this meta-analysis [15,16,17,18,19,20, 22]. Among them, five studies demonstrated significant increases in LVEF in the image-guided CRT treatment group when compared to that in the standard CRT group [15, 16, 18, 20, 22]. In a pooled analysis of all seven studies, a large degree of LVEF improvement was observed in the image-guided group (WMD, 3.25 [95% CI, 1.80 to 4.70]; p < 0.01, Fig. 3) with low heterogeneity (P = 0.15; I2 = 37%), when compared with the routine CRT implantation group.

Fig. 3
figure 3

Forest plot of change in LVEF between groups. A random-effects model and inverse variance (IV) method were used to pool data. Abbreviations: SD, standard deviation; other abbreviations as in Fig. 2

Full size image

Reduction in LVESV

Eight studies compared the changes from baseline to post-treatment LVESV in the image-guided group with the changes in the standard group [15,16,17,18,19,20,21,22]. Six studies [15,16,17,18, 20, 21] demonstrated that the decrease of LVESV was more prominent in the image-guided group. Pooled data illustrated the comparative results from this inter-group meta-analysis (WMD, − 12.46[95% CI, − 18.89 to − 6.03]; p < 0.01, Fig. 4). The homogeneity testing showed moderate differences between trials (P = 0.03; I2 = 56%).

Fig. 4
figure 4

Forest plot of change in LVESV between groups. A random-effects model and inverse variance (IV) method were used to pool data. Abbreviations as in Fig. 3

Full size image

HF hospitalization and mortality rate

Two studies directly compared HF hospitalization and mortality rates between the image-guided group and the standard group [17, 19]. Pooled data demonstrated no difference when both outcome measures were compared respectively between the two groups (HF Hospitalization: RR, 0.89 [95% CI, 0.16 to 5.08]; p = 0.90, Fig. 5a. Mortality rate: RR, 0.69 [95% CI, 0.37 to 1.29]; p = 0.24, Fig. 5b).

Fig. 5
figure 5

a Forest plot of a HF hospitalization between groups, b mortality rate between groups. A random-effects model and Mantel–Haenszel method were used to pool data. Abbreviations as in Fig. 2

Full size image

Concordance of LV

Three studies compared the concordance of LV in the image-guided group with that in the standard group [16, 17, 19]. Pooled data demonstrated significant difference in this parameter when the image-guided treatment group were compared with the control group (RR, 1.39 [95% CI, 1.01 to 1.92]; p < 0.05, Fig. 6). Meanwhile, there was medium heterogeneity (P = 0.11; I2 = 55%).

Fig. 6
figure 6

Forest plot of concordance of LV between groups. A random-effects model and Mantel–Haenszel method were used to pool data. Abbreviations as in Fig. 2

Full size image

Subgroup analysis

Subgroup analysis was performed across several different variables to determine the origin of this heterogeneity. The differences in CRT responses (Table 4) and the LVEF changes (Additional file 2: Table S2) between the image-guided group and the standard group demonstrated that statistically significant associations exist in all subgroups. In contrast, the level was affected by study design, country, baseline LVEF, and baseline LVESV. The reduction of LVESV (Additional file 3: Table S3) between groups showed a statistically significant association based on country and study quality.

Table 4 Subgroup analysis for the association of CRT response between groups for each variable
Full size table

Publication bias

Funnel plots did not suggest publication bias for any of the outcomes (CRT response, Fig. 7; Reduction in LVESV, Additional file 4: Figure S1, and Improvement in LVEF, Additional file 5: Figure S2).

Fig. 7
figure 7

Funnel plot of CRT response between groups

Full size image

Sensitivity analysis

Sensitivity analysis indicated that none of the exclusions of a specific study would change the direction or magnitude of the summary effect for the correlation of image-guided CRT treatment with CRT responses, as well as changes in LVESV and LVEF. Sommer et al. [19] showed that the changes in LVESV and LVEF between groups did not show a significant difference. Exclusion of this trial resulted in the heterogeneity of 0%. The heterogeneity of concordance of LV was inconsistent after sequentially excluding each study. Removal of study by Saba et al. [17] contributed to more homogeneous results (P = 0.44; I2 = 0).

Discussion

This study provides a meta-analysis of published literature in which imaging guidance was applied in CRT placement. Our findings illustrated that this technique is associated with an increase in CRT efficacy among HF patients. It is also associated with a more preferable concordance of LV, a greater reduction of LVESV, as well as a higher increase in LVEF, when compared to the standard CRT placement group. No differences in HF hospitalization and mortality rates were identified between both groups.

Our results were in agreement with a previously published meta-analysis on this topic [23]. It is worth noting that this previous meta-analysis included a much smaller subject pool totaling 500 patients to explore the effect of imaging techniques on the efficacy of CRT. Our study has a larger sample size. We also looked specifically at subgroups of HF patients and evaluated the concordance of LV between groups. Pooling showed that the image-guided group had a significantly higher concordance of LV than the standard group. Especially in the guided group, CRT significantly reduced LVESV and increased LVEF. Only one trial by Sommer et al. [19] could not show a favorable effect on reversing LV remodeling in the image-guided group. The discrepancy may be explained by differences in the study design and patient selection. Pooling could also benefit from the large sample size to decide whether imaging techniques has a significant association with this outcome.

Patient with appropriate indications for CRT remains a vital factor for achieving greater therapeutic responses. Maass et al. [24] applied the CAVIAR response score to predict the amount of reverse remodeling after CRT. Lower age, larger QRS area, longer interventricular mechanical delay, and presence of apical rocking were identified as independent predictors of response; all represented in the CAVIAR response score. This score may be used to improve patient selection and predict the clinical outcome before CRT implantation. Despite a volumetric improvement, we found that the imaging group showed no pronounced differences in major clinical outcomes such as hospitalization and mortality rates, when compared to the standard CRT group. This may be explained by the lack of contemporary data in HF hospitalization and mortality rates from limited number of clinical trials to date. Reverse ventricular remodeling, on the other hand, is commonly associated with clinical endpoints such as heart failure hospitalizations and all-cause mortality. Foley PW et al. [25] demonstrated that LV reverse remodeling was an independent predictor of morbidity and mortality for up to 5 years after CRT implantation and the authors demonstrated that pump failure was mainly responsible for this association. The CAVIAR response score were also shown to predict clinical events including all-cause mortality and HF hospitalizations [24]. It predicted the incidence with < 2% adverse clinical events with a CAVIAR score > 4 and more than 20% events if CAVIAR is < 2 in super-responders in the first year. It suggested that guiding LV lead placement to the latest activation site was not the only factor associated with clinical outcomes. Additional factors including non-ischemic cardiomyopathy, myocardial scar distribution, QRS duration, and LBBB QRS morphology may have added influences on the results [26].

In addition, concordance of LV could only be achieved in part of the patient in the image-guided group. According to the STARTER trial [17], only 30% of the recommended segments were consistent with the location of the LV lead. A considerable percentage of the image-guided group even made the LV lead placed in the scar. This LV lead position distinction was linked with poor clinical outcomes and may explain the disagreement in volumetric responses after CRT. The optimal placement of an LV lead into the coronary sinus (CS) may be impossible in some cases, and left phrenic nerve (LPN) stimulation may occur in a specific position. Due to these challenges, transseptal endocardial and surgical epicardial lead placement may become alternatives to conventional LV lead implantation [27]. Transseptal endocardial LV lead placement does bring some advantages: transvenous access, endocardial pacing, more lead placement sites, and there is less concern for compromising LPN stimulation or LV pacing threshold for positional stability. The surgical epicardial lead placement is typically used by either mini-thoracotomy or video-assisted thoracoscopy. In the future, large randomized trials are required to assess the prospective benefits of alternative LV pacing techniques to improve the rate of optimal lead positions.

Evaluating LV mechanical and electrical dyssynchrony is essential to determine CRT response [28]. The transmission of electrical activity is parallel to the mechanical activation, so the duration and morphology of QRS can reveal the dyssynchronization of LV electrical and mechanical activities. It can be used as an electrocardiographic indicator to predict the CRT response [29]. The level of LV electric delay is evaluated based on the interval of the surface (lead II) of the QRS at the first main peak (positive or negative) of LV, which is associated with reduced mitral regurgitation, leading to the development of a leading strategy for the LV to improve CRT response [30]. As compared to other sites on the myocardial wall, pacing in the most delayed mechanical activated site can shorten the total electromechanical activation time of LV [16]. Another study showed that the location of the latest activated regions varies, with 67% of patients located in the posterolateral myocardial wall and the remaining 33% in different regions [31].

It is a big challenge to place the LV lead in the targeted position through the coronary vein [16]. Imaging techniques have been assisted in determining this location, such as CMR imaging [11], ECHO [9, 10], and nuclear imaging [7, 32]. The ECHO can be intuitive to evaluate left ventricular synchrony, thus predict the efficacy of CRT treatment for heart failure patients accurately. Several clinical trials have incorporated ECHO and fluoroscopic venography to guide LV placement. In the TARGET trial [16], fluoroscopic venograms with a steep left anterior oblique (LAO) were aligned with the short axis parastnum ECHO using a two-dimensional visual correspondence approach in the guided group. The anatomy of the CS similar to the short-axis of ECHO was displayed by the LAO fluoroscopic venography image, which assisted operators to match the suitable vein with the ideal segment under the guidance of the ECHO. Consequently: 64%, 26%, and 10% of patients placed the LV lead in the recommended, suboptimal, and inappropriate locations, respectively. However, this technique relies heavily on the operator experience and has poor repeatability.

Programmed with stimulated echoes, CMR can deliver high-quality circumferential strain data to define the status of mechanical dyssynchrony. In combination with scar evaluation by late gadolinium enhancement, CMR can advance current criteria to determine optimal LV lead placement [33]. Salden et al. [20] assessed Real-time image-guided LV lead placement by fusion of fluoroscopy images with CMR images during CRT. Real-time visualization of the latest contracting area, scar location, and LPN position were identified on a custom-made treatment-guidance platform (CARTBox, CART-Tech B.V., Utrecht, The Netherlands) from pre-procedurally acquired CMR and computed tomography (CT) scans. Based on the delayed activation, location of the scar, and the LPN, a target area for LV lead implantation was chosen. After 3D image fusion of the 3D-treatment dataset with fluoroscopy, the LV lead targets and scar segments together with LPN and coronary ostium are visualized on live fluoroscopy during the LV lead implantation. Thus it could assist the cardiologist in achieving image-guided LV lead placement in a targeted area. However, CMR is not suitable for patients with a pacemaker, and the inspection time is relatively long.

Several studies have confirmed that SPECT can be used to better evaluate left ventricular dyssynchrony in recent years [34, 35], and it is much more reproducible than echocardiography. SPECT can measure mechanical dyssynchrony, myocardial activity, and LV function in one scan. Thus, SPECT MPI and positron emission tomography (PET) are regarded as the "one-stop-shop" for CRT guidance [7, 32, 36]. The GUIDECRT trial by Zou et al. [21] also validated the improvement of CRT efficacy guided by SPECT. Whether the exact LV lead concordance using image-guided techniques would lead to improved clinical outcomes after CRT remains to be confirmed. Merging of target segments by image-guided techniques with electrophysiological mapping may bring more promising outcomes in the future.

Several limitations of this study should be considered. Firstly, observational studies carry an inherent bias against the incidence of CRT response. Secondly, the definitions of responses in the enrolled studies are inconsistent among analyzed studies, which may further impact the extents of reported changes in LVESV and LVEF between groups. Lastly, although several CRT trials have yielded promising results, more randomized, prospective multicenter trials are needed to validate these new techniques before their widespread applications in standardized clinical practices.

Conclusions

This meta-analysis indicates that image-guided CRT is correlated with improved CRT volumetric response and cardiac function in heart failure patients but not with lower hospitalization or mortality rate. Further large randomized prospective clinical trials are required to prove a causal relationship between this innovative technique and overall clinical benefits.

Availability of data and materials

The datasets generated and analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

CRT:

Cardiac resynchronization therapy

CRT-P:

CRT pacemaker

CRT-D:

CRT defibrillator

LVEF:

Left ventricular ejection fraction

LVESV:

Left ventricular end-systolic volume

LV:

Left ventricular

HF:

Heart failure

RCTs:

Randomized controlled trials

CI:

Confidence interval

RR:

Risk ratio

SD:

Standard deviation

WMD:

Weighted mean difference

CMR:

Cardiac magnetic resonance

ECHO:

Echocardiography

STE:

Speckle tracking ECHO

PA:

Phase analysis

SPECT MPI:

Single-photon emission computed tomography myocardial perfusion imaging

VVI:

Vector velocity imaging

NYHA:

New York Heart Association

Concordance of LV:

Concordance of LV lead to the latest sites of contraction

LPN:

Left phrenic nerve

LAO:

Left anterior oblique

References

  1. Ziaeian B, Fonarow GC. Epidemiology and aetiology of heart failure. Nat Rev Cardiol. 2016;13:368–78.

    Article  Google Scholar 

  2. Solomon SD, Claggett B, Desai AS, Packer M, Zile M, Swedberg K, et al. Influence of ejection fraction on outcomes and efficacy of sacubitril/valsartan (LCZ696) in heart failure with reduced ejection fraction: the prospective comparison of ARNI with ACEI to determine impact on global mortality and morbidity in heart failure (PARADIGM-HF) Trial. Circ Heart Fail. 2016;9:e002744.

    Article  CAS  Google Scholar 

  3. Girerd N, Collier T, Pocock S, Krum H, McMurray JJ, Swedberg K, et al. Clinical benefits of eplerenone in patients with systolic heart failure and mild symptoms when initiated shortly after hospital discharge: analysis from the EMPHASIS-HF trial. Eur Heart J. 2015;36:2310–7.

    Article  CAS  Google Scholar 

  4. Mozaffarian D, Benjamin EJ, Go AS, Arnett DK, Blaha MJ, Cushman M, et al. Heart disease and stroke statistics—2015 update: a report from the American Heart Association. Circulation. 2015;131:e29-322.

    PubMed  Google Scholar 

  5. Anand IS, Carson P, Galle E, Song R, Boehmer J, Ghali JK, et al. Cardiac resynchronization therapy reduces the risk of hospitalizations in patients with advanced heart failure: results from the Comparison of Medical Therapy, Pacing and Defibrillation in Heart Failure (COMPANION) trial. Circulation. 2009;119:969–77.

    Article  Google Scholar 

  6. Daubert JC, Saxon L, Adamson PB, Auricchio A, Berger RD, Beshai JF, et al. 2012 EHRA/HRS expert consensus statement on cardiac resynchronization therapy in heart failure: implant and follow-up recommendations and management. Heart Rhythm. 2012;9:1524–76.

    Article  Google Scholar 

  7. Boogers MJ, Chen J, van Bommel RJ, Borleffs CJ, Dibbets-Schneider P, van der Hiel B, et al. Optimal left ventricular lead position assessed with phase analysis on gated myocardial perfusion SPECT. Eur J Nucl Med Mol Imaging. 2011;38:230–8.

    Article  Google Scholar 

  8. Ansalone G, Giannantoni P, Ricci R, Trambaiolo P, Fedele F, Santini M. Doppler myocardial imaging to evaluate the effectiveness of pacing sites in patients receiving biventricular pacing. J Am Coll Cardiol. 2002;39:489–99.

    Article  Google Scholar 

  9. Becker M, Franke A, Breithardt OA, Ocklenburg C, Kaminski T, Kramann R, et al. Impact of left ventricular lead position on the efficacy of cardiac resynchronisation therapy: a two-dimensional strain echocardiography study. Heart. 2007;93:1197–203.

    Article  Google Scholar 

  10. Becker M, Hoffmann R, Schmitz F, Hundemer A, Kühl H, Schauerte P, et al. Relation of optimal lead positioning as defined by three-dimensional echocardiography to long-term benefit of cardiac resynchronization. Am J Cardiol. 2007;100:1671–6.

    Article  Google Scholar 

  11. Kronborg MB, Kim WY, Mortensen PT, Nielsen JC. Non-contrast magnetic resonance imaging for guiding left ventricular lead position in cardiac resynchronization therapy. J Interv Card Electrophysiol. 2012;33:27–35.

    Article  Google Scholar 

  12. Kydd AC, McCormick LM, Dutka DP. Optimizing benefit from CRT: role of speckle tracking echocardiography, the importance of LV lead position and scar. Expert Rev Med Devices. 2012;9:521–36.

    Article  CAS  Google Scholar 

  13. Chen J, Garcia EV, Folks RD, Cooke CD, Faber TL, Tauxe EL, et al. Onset of left ventricular mechanical contraction as determined by phase analysis of ECG-gated myocardial perfusion SPECT imaging: development of a diagnostic tool for assessment of cardiac mechanical dyssynchrony. J Nucl Cardiol. 2005;12:687–95.

    Article  Google Scholar 

  14. Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;372:n71.

    Article  Google Scholar 

  15. Bai R, Di Biase L, Mohanty P, Hesselson AB, De Ruvo E, Gallagher PL, et al. Positioning of left ventricular pacing lead guided by intracardiac echocardiography with vector velocity imaging during cardiac resynchronization therapy procedure. J Cardiovasc Electrophysiol. 2011;22:1034–41.

    Article  Google Scholar 

  16. Khan FZ, Virdee MS, Palmer CR, Pugh PJ, O’Halloran D, Elsik M, et al. Targeted left ventricular lead placement to guide cardiac resynchronization therapy: the TARGET study: a randomized, controlled trial. J Am Coll Cardiol. 2012;59:1509–18.

    Article  Google Scholar 

  17. Saba S, Marek J, Schwartzman D, Jain S, Adelstein E, White P, et al. Echocardiography-guided left ventricular lead placement for cardiac resynchronization therapy: results of the Speckle Tracking Assisted Resynchronization Therapy for Electrode Region trial. Circ Heart Fail. 2013;6:427–34.

    Article  CAS  Google Scholar 

  18. Bertini M, Mele D, Malagu M, Fiorencis A, Toselli T, Casadei F, et al. Cardiac resynchronization therapy guided by multimodality cardiac imaging. Eur J Heart Fail. 2016;18:1375–82.

    Article  Google Scholar 

  19. Sommer A, Kronborg MB, Nørgaard BL, Poulsen SH, Bouchelouche K, Böttcher M, et al. Multimodality imaging-guided left ventricular lead placement in cardiac resynchronization therapy: a randomized controlled trial. Eur J Heart Fail. 2016;18:1365–74.

    Article  Google Scholar 

  20. Salden OAE, van den Broek HT, van Everdingen WM, Mohamed Hoesein FAA, Velthuis BK, Doevendans PA, et al. Multimodality imaging for real-time image-guided left ventricular lead placement during cardiac resynchronization therapy implantations. Int J Cardiovasc Imaging. 2019;35:1327–37.

    Article  Google Scholar 

  21. Zou J, Hua W, Su Y, Xu G, Zhen L, Liang Y, et al. SPECT-guided lv lead placement for incremental CRT efficacy: validated by a prospective, randomized, controlled study. JACC Cardiovasc Imaging. 2019;12:2580–3.

    Article  Google Scholar 

  22. Mele D, Nardozza M, Malagù M, Leonetti E, Fragale C, Rondinella A, et al. Left ventricular lead position guided by parametric strain echocardiography improves response to cardiac resynchronization therapy. J Am Soc Echocardiogr. 2017;30:1001–11.

    Article  Google Scholar 

  23. Jin Y, Zhang Q, Mao JL, He B. Image-guided left ventricular lead placement in cardiac resynchronization therapy for patients with heart failure: a meta-analysis. BMC Cardiovasc Disord. 2015;15:36.

    Article  Google Scholar 

  24. Maass AH, Vernooy K, Wijers SC, van’t Sant J, Cramer MJ, Meine M, et al. Refining success of cardiac resynchronization therapy using a simple score predicting the amount of reverse ventricular remodelling: results from the Markers and Response to CRT (MARC) study. Europace. 2018;20:e1–10.

    Article  Google Scholar 

  25. Foley PW, Chalil S, Khadjooi K, Irwin N, Smith RE, Leyva F. Left ventricular reverse remodelling, long-term clinical outcome, and mode of death after cardiac resynchronization therapy. Eur J Heart Fail. 2011;13:43–51.

    Article  Google Scholar 

  26. Killu AM, Grupper A, Friedman PA, Powell BD, Asirvatham SJ, Espinosa RE, et al. Predictors and outcomes of “super-response” to cardiac resynchronization therapy. J Card Fail. 2014;20:379–86.

    Article  Google Scholar 

  27. Mihalcz A, Kassai I, Geller L, Szili-Török T. Alternative techniques for left ventricular pacing in cardiac resynchronization therapy. Pacing Clin Electrophysiol. 2014;37:255–61.

    Article  Google Scholar 

  28. Bax JJ, Bleeker GB, Marwick TH, Molhoek SG, Boersma E, Steendijk P, et al. Left ventricular dyssynchrony predicts response and prognosis after cardiac resynchronization therapy. J Am Coll Cardiol. 2004;44:1834–40.

    Article  Google Scholar 

  29. Poole JE, Singh JP, Birgersdotter-Green U. QRS Duration or QRS morphology: what really matters in cardiac resynchronization therapy? J Am Coll Cardiol. 2016;67:1104–17.

    Article  Google Scholar 

  30. Chatterjee NA, Gold MR, Waggoner AD, Picard MH, Stein KM, Yu Y, et al. Longer left ventricular electric delay reduces mitral regurgitation after cardiac resynchronization therapy: mechanistic insights From the SMART-AV study (SmartDelay determined AV optimization: a comparison to other AV delay methods used in cardiac resynchronization therapy). Circ Arrhythm Electrophysiol. 2016;9:e004346.

    Article  CAS  Google Scholar 

  31. Van de Veire N, De Sutter J, Van Camp G, Vandervoort P, Lancellotti P, Cosyns B, et al. Global and regional parameters of dyssynchrony in ischemic and nonischemic cardiomyopathy. Am J Cardiol. 2005;95:421–3.

    Article  Google Scholar 

  32. Friehling M, Chen J, Saba S, Bazaz R, Schwartzman D, Adelstein EC, et al. A prospective pilot study to evaluate the relationship between acute change in left ventricular synchrony after cardiac resynchronization therapy and patient outcome using a single-injection gated SPECT protocol. Circ Cardiovasc Imaging. 2011;4:532–9.

    Article  Google Scholar 

  33. Bilchick KC, Kuruvilla S, Hamirani YS, Ramachandran R, Clarke SA, Parker KM, et al. Impact of mechanical activation, scar, and electrical timing on cardiac resynchronization therapy response and clinical outcomes. J Am Coll Cardiol. 2014;63:1657–66.

    Article  Google Scholar 

  34. Trimble MA, Velazquez EJ, Adams GL, Honeycutt EF, Pagnanelli RA, Barnhart HX, et al. Repeatability and reproducibility of phase analysis of gated single-photon emission computed tomography myocardial perfusion imaging used to quantify cardiac dyssynchrony. Nucl Med Commun. 2008;29:374–81.

    Article  Google Scholar 

  35. Lin X, Xu H, Zhao X, Folks RD, Garcia EV, Soman P, et al. Repeatability of left ventricular dyssynchrony and function parameters in serial gated myocardial perfusion SPECT studies. J Nucl Cardiol. 2010;17:811–6.

    Article  Google Scholar 

  36. Chen J, Boogers MJ, Bax JJ, Soman P, Garcia EV. The use of nuclear imaging for cardiac resynchronization therapy. Curr Cardiol Rep. 2010;12:185–91.

    Article  Google Scholar 

Download references

Acknowledgements

None.

Funding

This work was partially supported by a grant provided by the Science and Technology Department of Jiangsu Province (Grant No. BE2016764; principal investigator Jiangang Zou), China.

Author information

Authors and Affiliations

  1. Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, No.300, Guangzhou Road, Nanjing, 210029, China

    Xiao Hu, Shameer Raaj Avishkar Hassea, Zhiyong Qian, Yao Wang, Xinwei Zhang, Xiaofeng Hou & Jiangang Zou

  2. Department of Cardiology, The Affiliated Huaian No.1 People’s Hospital of Nanjing Medical University, Huaian, Jiangsu, China

    Xiao Hu

  3. Department of Cardiology, Staten Island University Hospital / Northwell Health, 475 Seaview Drive, Staten Island, NY, 10305, USA

    Hai Xu

Authors
  1. Xiao Hu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Hai Xu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Shameer Raaj Avishkar Hassea
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Zhiyong Qian
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Yao Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Xinwei Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Xiaofeng Hou
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Jiangang Zou
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

XH and JGZ have made substantial contributions to conception and design of the study; HASSEA, XHZ and HX searched literature, extracted data from the collected literature and analyzed the data; XFH, YW and ZYQ wrote the manuscript; JGZ revised the manuscript; All authors read and approved the final manuscript.

Corresponding author

Correspondence to Jiangang Zou.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1: Table S1.

PRSIMA checklist.

Additional file 2: Table S2.

Subgroup analysis for the association of changes in LVEF between groups for each variable.

Additional file 3: Table S3.

Subgroup analysis for the association of changes in LVESV between groups for each variable.

Additional file 4: Figure S1.

Funnel plot of reduction in LVESV between groups.

Additional file 5: Figure S2.

Funnel plot of improvement in LVEF between groups.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hu, X., Xu, H., Hassea, S.R.A. et al. Comparative efficacy of image-guided techniques in cardiac resynchronization therapy: a meta-analysis. BMC Cardiovasc Disord 21, 255 (2021). https://doi.org/10.1186/s12872-021-02061-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12872-021-02061-y

Keywords

BMC Cardiovascular Disorders

ISSN: 1471-2261

Contact us