Assessment of distribution and evolution of Mechanical dyssynchrony in a porcine model of myocardial infarction by cardiovascular magnetic resonance

  • Khaled Z Abd-Elmoniem1Email author,

    Affiliated with

    • Miguel Santaularia Tomas2, 3Email author,

      Affiliated with

      • Tetsuo Sasano2Email author,

        Affiliated with

        • Sahar Soleimanifard4,

          Affiliated with

          • Evert-Jan P Vonken2,

            Affiliated with

            • Amr Youssef2,

              Affiliated with

              • Harsh Agarwal4,

                Affiliated with

                • Veronica L Dimaano2,

                  Affiliated with

                  • Hugh Calkins2,

                    Affiliated with

                    • Matthias Stuber5,

                      Affiliated with

                      • Jerry L Prince4,

                        Affiliated with

                        • Theodore P Abraham2 and

                          Affiliated with

                          • M Roselle Abraham2Email author

                            Affiliated with

                            Journal of Cardiovascular Magnetic Resonance201214:1

                            DOI: 10.1186/1532-429X-14-1

                            Received: 23 August 2011

                            Accepted: 6 January 2012

                            Published: 6 January 2012



                            We sought to investigate the relationship between infarct and dyssynchrony post- myocardial infarct (MI), in a porcine model. Mechanical dyssynchrony post-MI is associated with left ventricular (LV) remodeling and increased mortality.


                            Cine, gadolinium-contrast, and tagged cardiovascular magnetic resonance (CMR) were performed pre-MI, 9 ± 2 days (early post-MI), and 33 ± 10 days (late post-MI) post-MI in 6 pigs to characterize cardiac morphology, location and extent of MI, and regional mechanics. LV mechanics were assessed by circumferential strain (eC). Electro-anatomic mapping (EAM) was performed within 24 hrs of CMR and prior to sacrifice.


                            Mean infarct size was 21 ± 4% of LV volume with evidence of post-MI remodeling. Global eC significantly decreased post MI (-27 ± 1.6% vs. -18 ± 2.5% (early) and -17 ± 2.7% (late), p < 0.0001) with no significant change in peri-MI and MI segments between early and late time-points. Time to peak strain (TTP) was significantly longer in MI, compared to normal and peri-MI segments, both early (440 ± 40 ms vs. 329 ± 40 ms and 332 ± 36 ms, respectively; p = 0.0002) and late post-MI (442 ± 63 ms vs. 321 ± 40 ms and 355 ± 61 ms, respectively; p = 0.012). The standard deviation of TTP in 16 segments (SD16) significantly increased post-MI: 28 ± 7 ms to 50 ± 10 ms (early, p = 0.012) to 54 ± 19 ms (late, p = 0.004), with no change between early and late post-MI time-points (p = 0.56). TTP was not related to reduction of segmental contractility. EAM revealed late electrical activation and greatly diminished conduction velocity in the infarct (5.7 ± 2.4 cm/s), when compared to peri-infarct (18.7 ± 10.3 cm/s) and remote myocardium (39 ± 20.5 cm/s).


                            Mechanical dyssynchrony occurs early after MI and is the result of delayed electrical and mechanical activation in the infarct.


                            Cardiac resynchronization therapy (CRT) relieves symptoms, induces reverse remodeling, reduces heart failure hospitalizations, and improves survival in symptomatic heart failure patients with left ventricular systolic dysfunction and conduction abnormality [14]. However, CRT is plagued by a high non-responder rate of ~30% [5]. Differences between ischemic and non-ischemic cardiomyopathy (CM) have generally been overlooked in the early discussions on CRT. However, there are several clinically relevant differences between these two groups. Patients with ischemic CM are more likely to have higher scar burden and be non-responders with lower rates of symptomatic improvement, reverse remodeling, and increment in left ventricular (LV) function [6]. Furthermore, recent data suggest that dyssynchrony in the setting of an acute myocardial infarction (MI) portends a poor prognosis and predicts LV remodeling [711].

                            These clinical observations intensify the need for a more detailed investigation of regional mechanics following MI. Such knowledge may potentially help explain the differences in response to CRT between ischemic and non-ischemic CM and could potentially assist in developing novel treatment strategies for dyssynchrony in the post-MI setting. To date, most physiologic, mechanical, cellular, and molecular data concerning CRT have been generated in a well-validated tachy-pacing model of heart failure [1214], but a similar thorough evaluation has been lacking in the setting of ischemic CM.

                            Cardiovascular magnetic resonance (CMR) is an attractive modality to study dyssynchrony because it permits simultaneous assessment of anatomy, scar burden, and myocardial deformation at high spatial and temporal resolution in experimental (small and large animal) models and patients. In this study, we used a well-characterized porcine model of MI [15] to determine the patterns and evolution of regional mechanics and dyssynchrony. Using CMR and electro-anatomic mapping, we found that mechanical dyssynchrony occurs early after acute MI and is due to delayed mechanical and electrical activation of the infarcted region. Hence, electrical CRT alone would not be expected to provide any benefit in this setting.


                            Animal Model

                            Our experimental protocol was approved by the Institutional Animal Care and Use Committee.

                            Creation of myocardial infarction

                            Ten young farm pigs weighing 25 to 35 kg were subjected to percutaneous occlusion of the left anterior descending artery as was previously described [15]. Animals were imaged pre-MI, 9 ± 2d (early post-MI) and 33 ± 10d (late post-MI) post-MI. Please see supplemental data section for details.

                            Cardiac Magnetic Resonance

                            Studies were performed using a clinical Philips 3.0T Achieva MR scanner (Philips Medical Systems, Best, NL) equipped with a six-channel cardiac phased array surface coil. Animals were mechanically ventilated, anaesthetized, and paralyzed for the duration of imaging. Cine, contrast-enhanced and tagged images [16] were obtained. Please see the additional file 1 for the surgical procedure, imaging protocols, and image analysis details. Additional file 2 demonstrates the notations used in this study for different myocardial segments.

                            Image Analysis

                            LV mass and volumes, late gadolinium enhancement (LGE), and circumferential strain (eC) were measured using a custom-built software tool developed using Matlab® ver. 7.6 (Mathworks, Natick, MA). Please see additional file 1 for details.

                            Dyssynchrony index was calculated as the standard deviation of time to peak eC (TTP) for 16 segments per animal, where time to peak strain was measured from the QRS complex. This index has been previously used to assess dyssynchrony in experimental and clinical studies [12, 13, 1720]. The primary comparisons were made between infarct, peri-infarct, and normal segments at three time-points, namely, pre-MI (baseline), early (7-11 days), and late (30-40 days) post-MI.

                            Electroanatomical Mapping (EAM)

                            EAM was performed using the CARTO system (CARTO XP, Biosense-Webster Inc.) in all 6 pigs within 24 hrs of CMR and prior to sacrifice. Please see additional file 1 for details.

                            Statistical Analysis

                            All data were analyzed using JMP version 9 software (SAS Inc, Cary NC). Continuous variables are expressed as mean ± SD. Differences between regions and time points were tested using two way repeated measures ANOVA and a paired t test. A p value < 0.05 was considered significant. Inter-observer reproducibility was tested in 63 randomly selected segments, at the early and late post-MI time-points.


                            Of 10 animals, 4 died due to incessant ventricular fibrillation (1 intra-operatively during balloon occlusion and 3 in the immediate post operative period) leaving 6 animals for the study. We analyzed a total of 96 segments at baseline and 95 normal, 57 peri-MI and 33 MI segments at the early and late post-MI time-points. There was no significant difference in heart rate between the baseline, early and late post-MI time-points (Table 1).
                            Table 1

                            Baseline and Post-Infarct Remodeling


                            Baseline (n = 6)

                            Early (n = 6)

                            Late (n = 6)


                            Days after MI


                            10 ± 2

                            34 ± 10


                            Heart rate (bpm)

                            89 ± 8

                            74 ± 9

                            77 ± 15


                            LVEF (%)

                            52 ± 5

                            44 ± 7

                            45 ± 4

                            < 0.01

                            LVEDD (mm)

                            38 ± 2

                            40 ± 3

                            41 ± 3


                            RVEDD (mm)

                            24 ± 2

                            26 ± 2

                            27 ± 2


                            LVEDV (mL)

                            42 ± 7

                            56 ± 10

                            65 ± 9

                            < 0.01

                            LVESV (mL)

                            20 ± 5

                            31 ± 7

                            36 ± 12

                            < 0.01

                            MI segment thickness (mm)


                            6 ± 1

                            5 ± 1

                            < 0.01

                            Normal segment thickness (mm)

                            9 ± 1

                            10 ± 0

                            12 ± 2


                            Late gadolinium enhancement %


                            21 ± 4

                            20 ± 6


                            EF = ejection fraction; EDD = end diastolic dimension; EDV and ESV = end-diastolic and end-systolic volumes, respectively. All p-values relate to early and late versus baseline except where baseline values are absent.

                            Regional myocardial contractility was assessed by segmental eC and eR. We were able to obtain adequate quality of eC and eR tracings from 283 (98%) and 172 (60%) of 288 total segments, respectively, at all 3 time-points. Since the yield was low and signal quality was unreliable for eR, we restricted all analysis to segmental eC only.

                            Characterization of the infarct

                            Cine and LGE images were used to characterize the infarct. Infarction was located in the apical to mid-anterior wall and anterior septum. All MI segments had LGE of ≥ 90% of myocardial wall thickness and were transmural. Mean infarct volume was 21 ± 4% and 20 ± 6% of the LV myocardial volume at early and late time-points, respectively (p = NS; Table 1, Figures 1, 3).
                            Figure 1

                            Representative voltage and activation maps from 1 animal using the CARTO system (CARTO XP, Biosense-Webster Inc.). The infarcted region was characterized by low voltage (< 0.5 mV) and delayed activation.

                            Post-infarct remodeling in the wall and ventricular chamber was confirmed by the following findings: 1) wall thickness was lower in the MI segments compared to the normal segments at the early time-point, and further decreased at the late post-MI time-point (Table 1). 2) end-diastolic and end-systolic LV volumes increased and EF decreased from baseline to early/late post-MI time-points (Table 1). However, left and right ventricular diameters, calculated at the mid-ventricular level did not change significantly between pre-MI, early and late post-MI time-points, which is probably because of the apical location of the infarct.

                            In the late post-MI period, EKG revealed normal sinus rhythm without evidence of bundle branch block. Electro-anatomic mapping late post-MI revealed low voltage and fractionated, low-amplitude electrograms in the anterior septum and mid/apical anterior wall during sinus rhythm in all animals, suggestive of scar (Figure 1). We found earliest ventricular activation in the anterior septum and septal to lateral activation in all animals; the infarct was the latest activated region (Figure 1). Figure 2A illustrates the isochrone map corresponding to voltage activation maps in Figure 1 demonstrating reduced conduction velocity in the infarct region. Conduction velocity was very low in the infarct (5.7 ± 2.4 cm/s) and intermediate in the infarct border-zone region (18.7 ± 10.3 cm/s; p < 0.001 infarct vs. IBZ), when compared to remote myocardium (39 ± 20.5 cm/s; p < 0.001 infarct vs remote; p = 0.02 for IBZ vs. remote)- Figure 2B.
                            Figure 2

                            A. Representative isochrone map (corresponding to voltage/activation maps in Figure 1) from 1 animal using the CARTO system (CARTO XP, Biosense-Webster Inc.) reveals crowding of isochrones indicative of greatly reduced conduction velocity in the infarct. B. Summary of conduction of velocities in the infarct, border-zone and remote myocardium derived from all pigs (n = 6), using the CARTO system. Conduction velocity was very low in the infarct and intermediate in the infarct border-zone region, when compared to remote myocardium.

                            Figure 3

                            Representative left ventricular short-axis CMR images illustrating absence of LGE pre-infarct. (A) with normal color-coded strain display (B) and strain tracings showing synchronized mechanical activity with all segments peaking near simultaneously (C); Early post-MI images show LGE in the septum (D, arrow) with low strain in the septum (E) and strain traces showing mechanical dyssynchrony from early stretching (dyskinesis) and late hypokinesis of the infarcted segment (F). Late post- MI images show persistent LGE in the septum (G, arrow) with low strain in the septum (H) and strain traces showing mechanical dyssynchrony from early stretching (dyskinesis) and late hypokinesis of the infarcted segment (I). Representative 3-dimensional reconstruction of the area of delayed enhancement illustrating the extent of infarction (J).

                            Global and Regional Mechanics

                            We compared the evolution of eC in MI, peri-MI and normal segments, separately and globally as an average of all 16 segments at each time point. Figure 3 illustrates LGE pattern, color-coded strain maps on zHARP tagged images [16, 21], and strain tracings during one cardiac cycle from one animal. Synchronized mechanical activity with all segments peaking near simultaneously is evident pre-MI (Figure 3C). In the first week post-MI, low strain (Figure 3D), mechanical dyssynchrony, early stretching (dyskinesis) and late hypokinesis, are evident in the strain traces (Figure 3E) in the infarct segment. Similar findings were observed late post-MI (Figure 3H and 3I). Global peak eC (average eC for 16 segments) decreased significantly from pre-MI to early and late post MI (-27 ± 1.6% vs -18 ± 2.5% and -17 ± 2.7%, respectively, p value < 0.0001). There was no significant decrease in peak eC between early and late post MI (-18 ± 2.5% vs. -17 ± 2.7%, respectively, p = 0.55; Table 2).
                            Table 2

                            Global Mechanics





                            p value

                            Global peak eC

                            -27 ± 2

                            -18 ± 3

                            -17 ± 3

                            < 0.0001*

                            SD16 segments (dyssynchrony index)

                            28 ± 7

                            50 ± 10

                            54 ± 19




                            Peak eC Normal

                            -27 ± 2

                            -24 ± 4

                            -21 ± 2


                            TTP Normal

                            300 ± 46

                            329 ± 40

                            321 ± 40




                            Peak eC Peri-MI

                            -27 ± 2

                            -18 ± 2

                            -17 ± 1

                            < 0.0001*

                            TTP Peri-MI

                            300 ± 46

                            332 ± 36

                            355 ± 61




                            Peak eC MI

                            -27 ± 2

                            -6 ± 2

                            -8 ± 2

                            < 0.0001*

                            TTP MI

                            300 ± 46

                            440 ± 40

                            442 ± 63


                            * No significant difference between early and late post-MI. SD16 = mean standard deviation of time to peak strain in 16 segments; MI = myocardial infarction

                            Analysis by time point

                            ANOVA displayed variation of Peak eC between three time points (p < 0.0001). Peak eC in normal segments decreased non-significantly from pre-MI to early post-MI (-27 ± 1.6% to -24 ± 3.7%, p = 0.5) but decreased significantly between pre-MI and late post-MI (-27 ± 1.6% to -21 ± 1.7%, p = 0.0008). There was a non-significant trend towards decrease in peak eC between early and late post MI (-24 ± 3.7% to -21 ± 1.7%, p = 0.06). However, despite these statistical differences, eC values at all 3 time-points were within normal range (Figure 4).
                            Figure 4

                            Scatter plots illustrating peak strain (eC) and time to peak strain (TTP) at baseline, early and late post-MI time-points for normal, peri-MI and MI segments. MI segments demonstrate low strain and delayed mechanical activation at early and late post-MI time-points. Peri-MI segments demonstrate reduction in eC with no significant delay in TTP at both time-points.

                            Peak eC significantly decreased from pre-MI to early and late post MI in peri-MI (-27 ± 1.6%, -18 ± 2.4%, -17 ± 1.5%, p = 0.0001) and MI segments (-27 ± 1.6%, -5.9 ± 1.7%, -7.7 ± 1.8%, p = 0.0001). There was no significant decrease in peak eC in peri-MI and MI segments between early and late post MI (-18 ± 2.4%, -17 ± 1.5%, p = 0.24 and -5.9 ± 1.7%, -7.7 ± 1.8%, p = 0.11; Table 2, Figure 4).

                            Analysis by region

                            ANOVA showed variation of Peak eC between MI, peri-MI, and normal regions (p = 0.0003). Peak segmental eC decreased significantly in normal, peri-MI, and MI segments between early (-24 ± 3.7, -18 ± 2.4 and -6 ± 1.7%, respectively; p < 0.001) and late MI time points (-21 ± 1.7, -17 ± 1.5 and -8 ± 2%, respectively; p < 0.001; Table 3, Figure 4).
                            Table 3

                            Evolution of Regional Mechanics





                            p value

                            Peak eC Early

                            -24 ± 4

                            -18 ± 2

                            -6 ± 2

                            < 0.0001

                            TTP Early

                            329 ± 40

                            332 ± 36

                            440 ± 40


                            Peak eC Late

                            -21 ± 2

                            -17 ± 1

                            -8 ± 2

                            < 0.0001

                            TTP Late

                            321 ± 40

                            355 ± 61

                            442 ± 63


                            * No significant difference between normal and peri-MI

                            Mechanical Dyssynchrony

                            Analysis by region

                            TTP between MI, peri-MI and normal regions varied significantly as assessed by ANOVA (p < 0.0001). The mean TTP for all 16 segments was 300 ± 28 ms at baseline. There were no statistically significant differences in TTP between normal and peri-MI segments at the early (329 ± 40 ms and 332 ± 36 ms; p = 0.92) and late post-MI (321 ± 40 ms and 355 ± 61 ms; p = 0.31) time-points. In contrast, TTP was significantly longer in MI segments compared to normal and peri-MI segments at the early (440 ± 40 vs. 329 ± 40 and 332 ± 36 ms, respectively; p = 0.0002) and late post-MI time-points (442 ± 63 vs. 321 ± 40, 355 ± 61, respectively; p = 0.012; Table 3, Figure 4).

                            Analysis by time point

                            TTP in normal segments did not change significantly from pre-MI to early to late post MI (300 ± 46 ms, 329 ± 40 ms, 321 ± 40 ms, p = 0.24, 0.39 and 0.74, respectively). TTP in peri-MI segments did not change significantly from pre-MI to early to late post MI (300 ± 46 ms, 332 ± 36 ms, 355 ± 61 ms, p = 0.07, 0.28 and 0.43, respectively). TTP in MI segments increased significantly from pre-MI to early and late post MI (300 ± 46 ms, 440 ± 40 ms, 442 ± 63 ms, p = 0.0002). There was no significant increase in TTP between early and late post MI (440 ± 40, 442 ± 63, p = 0.92; Table 2, Figure 4).

                            Standard deviation (Dyssynchrony Index)

                            The SD16 [19, 20] significantly increased from 28 ± 7 ms at baseline to 50 ± 10 ms at early (p = 0.012) and 54 ± 19 ms (p = 0.004) at late post-MI time-points, respectively. However, there was no significant difference in SD16 between early and late post-MI time-points (p = 0.56), suggesting that significant dyssynchrony occurs early after MI without significant worsening in the ensuing weeks (Table 2).

                            To specifically address whether longer time-points would alter our observations, we performed similar analysis on 2 animals at 135 days after MI. Although statistical analysis is not feasible at this sample size, the TTP results in the MI segments between early, late and 135-day studies were similar. Our findings were: Animal # 1) 472 ms (early), 460 ms (30 days) and 483 ms (135 days); Animal # 2) 492 ms (early), 512 ms (30 days) and 450 ms (135 days). These 2 case examples appear to support our earlier observations concerning the lack of significant additional dyssynchrony between 1 and 4 weeks of post-MI.

                            We found no relationship between regional strain and dyssynchrony when considering normal segments (R2 = 0.01, p = 0.14), peri-MI (R2 = 0.02, p = 0.3) and MI segments (R2 = 0.02, p = 0.4).

                            Inter-observer reproducibility of TTP was tested in 63 random segments at late post-MI. Mean TTP was 304 ± 48 ms and 313 ± 55 ms for observer 1 and 2, respectively, with a mean difference of 9 ms (coefficient of variation 3%).


                            In a closed-chest porcine model, mechanical dyssynchrony, as evidenced by the standard deviation in TTP, occurs early after MI and does not significantly worsen in the near term. Dyssynchrony originates primarily from delayed electrical and mechanical activation of the infarcted region.

                            Myocardial infarction and its common consequence, heart failure, present a significant health problem in the United States and the world [22]. Despite strong clinical gains from CRT in the overall heart failure population, results in ischemic CM have been underwhelming [23]. Areas of infarction have delayed mechanical activation due to local conduction abnormalities, delays in electro-mechanical coupling, and myocardial dysfunction. However, the mechanical relationship between infarct areas and peri-infarct myocardium is unclear [24]. Moreover, the mechanical behavior of the peri-infarct zone with respect to dyssynchrony is unclear. To address this knowledge gap we studied regional mechanics early and late post-MI in an extensively characterized porcine model of MI [15, 24, 25]. We selected a closed-chest approach to avoid the confounding influence of sternotomy and pericardiectomy that are known to affect myocardial mechanics. This model exhibited all the classic features of morphologic and functional remodeling seen in clinical and experimental MI. Additionally, using high resolution ex vivo CMR in this animal model, Ashikaga et al [26] have demonstrated a complex 3D structure of the scar: they found a thin rim of viable myocardium on the endocardial aspects of the scar (endocardial border-zone) and islands of viable myocardium within transmural-appearing scar that would result in fragmented electrograms and delayed activation of the infarcted region (by endocardial mapping).

                            Our model allows us to reliably characterize the distribution and extent of infarct by LGE. Similarly, we were able to evaluate the time course of changes in regional contractility and dyssynchrony following MI using CMR tagging. Unlike echocardiography, tagged CMR allows evaluation of myocardial strain at high spatial resolution and reproducibility. Strain, which evaluates regional myocardial deformation, is more reflective of myocardial mechanics than displacement mapping using parameters such as tissue velocity which are prone to artifacts from translational motion and tethering [27]. These artifacts may lead to high variability in tissue velocity-based indices of dyssynchrony [28]. This advantage of strain over velocity mapping is more pronounced in regional pathologies such as myocardial infarction [27]. The dyssynchrony index used in this study has been previously validated in CMR based studies of dyssynchrony [19, 20]. It offers the best snapshot of the mechanical behavior of individual segments relative to the entire heart provides a numerically expression for the temporal dispersion in mechanical activity in the heart. One potential advantage of CMR based zHARP assessment of dyssynchrony is that the multiple peaks, often noted in echo-based tissue velocity traces, were not observed in this study. However, this observation may require a wider population to be confirmed.

                            Our study demonstrates significant mechanical dyssynchrony within days of an MI, which is in concordance with previously published work using echocardiography in clinical populations [11]. Echocardiographic tissue velocity-based dyssynchrony indices suggest a standard deviation of time to peak displacement of approximately 30 ms represents significant mechanical dyssynchrony [28, 29]. Although we cannot directly extrapolate these echo-based results, it is noteworthy that our index of global dyssynchrony (SD16) was significantly abnormal at 1 week post-MI (50 ms). Our data show that dyssynchrony occurs early and provide insights into why echo-based evaluation of dyssynchrony days after MI was highly predictive of long term outcomes [8, 10]. However, since different imaging methodologies and indices were used in our study versus the previous echocardiography-based studies, wider, direct comparisons between our data and previous echo-based data are difficult. Furthermore, the subjects are not exactly the same, since patients may have more extensive disease and larger MIs, including acute on chronic ischemia and multi-vessel disease, compared to the well-circumscribed, relatively small apical MI in our model. We did not evaluate longitudinal displacement as done by Zhang et al [8] and decided not to use radial strain, as done by Mollema et al. [10], since we were unable to obtain adequate quality εR tracings by CMR. Recent data questioning the reliability and therefore usefulness of echo-based dyssynchrony indices also need to be considered when comparing our results to these previous publications [28]

                            Another important finding of our study is that delayed mechanical activation is not linked to reduced regional function per se. Regional contractility and conduction velocity were lowest in MI segments and intermediate in peri-MI segments, unlike the study by Klemm et al. [30] in patients with ischemic cardiomyopathy, which found viability and increased CV in areas with slow wall motion. We did not find mechanical delays in the peri-MI zones despite reduced regional function at 1 week post MI. Whether this is due to mechanical tethering of the peri-MI segments to the normal segment or a true lack of regional dyssynchrony could not be assessed by our study.

                            Conduction velocity was significantly lower in the infarct and infarct border-zone (IBZ) when compared to the remote myocardium. The infarct was the latest activated region because of very slow conduction, indicating that reduction in wave propagation velocity is the most important contributor to the time delay in regional contraction that we observed. Impulse propagation in the heart is dependent on active membrane properties determined by the ion channel composition, cell size, gap junction function and distribution [31]. Previous work [32] has demonstrated that surviving myocytes in the healed IBZ have normal resting membrane potential and normal action potential morphologies. However, CV can be reduced in the IBZ due to distortion of myocyte alignment (non-uniform anisotropy), interstitial fibrosis, and/or gap junction remodeling [32, 33]. This may explain the reduction in CV without significant change in TTP in the IBZ. Alterations in Ca2+handling and Ca2+ transients that have been previously reported in infarct border-zone myocytes [34], in combination with non-uniform anisotropy in the IBZ could manifest as reduced peak systolic strain.

                            Another possible explanation for lack of a relationship between delayed mechanical activation and reduced regional function is infarct expansion, although we did not see an increase in the number of delayed-enhancement segments late post-MI, suggesting this was not a dominant mechanism in our study. Lastly, differences may be due to segment definition, compared to previous studies: a peri-MI segment in our study was a segment adjacent to an MI segment (Figure 1) and was not a partial thickness MI. We used this definition as in our model of a well-circumscribed MI, there were few if any segments with partial thickness LGE.

                            There are several clinical implications of our findings for CRT in patients with ischemic CM. Our data indicate that 1) delayed electrical and mechanical activation of the infarct is the main cause of dyssynchrony; 2) despite adverse remodeling of the left ventricle post-MI, further worsening of mechanical dyssynchrony does not occur. Hence, assessment of dyssynchrony one week post-MI or before discharge from the hospital, should be adequate to assess the consequences of MI on mechanical synchrony. The one week time point was chosen for logistical reasons in this animal study. However, based on the evolution of myocardial infarction, imaging any time in the first week post-MI should suffice. While the relationship between scar burden and lack of response to CRT in patients with ischemic CM has been reported before [35, 36], the underlying mechanism has not been completely elucidated. Based on our results, the current standard practice of pacing the lateral wall is unlikely to substantially change global dyssynchrony unless the infarct is in the paced region. Additionally, pacing a normal region may in fact worsen cardiac mechanics in ischemic CM by bypassing the His-Purkinje system and relying on cell-cell electrical propagation. Simply placing the LV lead in an infarcted territory may also not be the best option [6] since these segments would be unable to respond mechanically because of inadequate viable myocardium. Hence, despite the presence of mechanical dyssynchrony, patients with transmural infarcts may not respond to traditional CRT post-MI when the late activated region corresponds to the infarct. Also, beta blockers that reduce adverse remodeling and improve mechanical dyssynchrony in non-ischemic cardiomyopathy may not be effective in reducing dyssynchrony post-MI, because dyssynchrony [37] was caused by massive loss of myocytes in the infarcted region and was not the result of adverse remodeling. Based on our results, this type of dyssynchrony would be most amenable to strategies that promote regeneration of viable myocardium and improvement of conduction in the infarcted region [38].

                            Limitations of the study

                            The sample size is relatively small. However, power calculations and our results suggest that it is adequate for this analysis. Larger MIs resulted in significant animal mortality so we limited the size of the MI to approximately 20%. Hence, we are unable to assess the relationship between infarct size and dyssynchrony. Additionally, we did not study changes in regional mechanics beyond 4 weeks; a longer term study is logistically challenging and prohibitively expensive. Since this is not an intervention study we cannot assess the response of ischemic CM to CRT or medications like beta blockers. Furthermore, due to poor radial strain quality we were unable to examine the relative value of eR and eC. However, the low feasibility of eR suggests it may not be as useful in this model. Lastly, due to logistic difficulties we were unable to perform concomitant echocardiography evaluation of dyssynchrony in this study that would have allowed better comparisons to published echo-based data. Conduction velocity measurements using EAM are sensitive to mapping density as well as underlying myocardial architecture (uniform anisotropy), with longitudinal CV being significantly greater than transverse CV in normal myocardium. This could have resulted in the large variation in CV observed in normal myocardium. Lastly, we did not isolate myocytes for cellular studies which could have provided insights into the electrical and mechanical changes that we observed.


                            Mechanical dyssynchrony occurs early after acute MI with non-significant changes in the near term. Delayed mechanical activation is noted primarily in the MI segments. Further imaging and cellular studies are needed to investigate dyssynchrony and the effects of interventions such as beta blockers, stem cell therapy and CRT in ischemic cardiomyopathy.

                            List of abbreviations used


                            cardiac resynchronization therapy


                            left ventricle




                            myocardial infarction


                            cardiovascular magnetic resonance


                            z-encoding harmonic phase imaging


                            Electroanatomical Mapping


                            Circumferential Strain


                            Radial strain


                            Time to peak strain


                            Ejection Fraction


                            Infarct border-zone


                            Conduction velocity



                            We thank John Terrovitis, MD for help with designing the imaging protocol, Michael Schär, PhD for kindly providing the technical expertise for critical portions of the CMR imaging, Kevin Mills, BS and Mohammed Zauher, BS for help with animal studies. This work was supported by the Donald W. Reynolds Foundation. We would also like to thank Ronnie Abbo and Biosense Webster for providing us the catheters and the CARTO XP system used in this study. We are grateful to Dr. Henry Halperin for use of his research EP laboratory.

                            Authors’ Affiliations

                            Biomedical and Metabolic Imaging Branch, National Institute of Diabetes and Digestive and Kidney Diseases, NIH
                            Department of Medicine, Division of Cardiology, Johns Hopkins University
                            Department of Medicine, Division of Cardiology, Hospital Español de Mexico
                            Department of Electrical and Computer Engineering, Johns Hopkins University
                            Department of Radiology, Division of Magnetic Resonance Research, Johns Hopkins University


                            1. Cleland JG, Daubert JC, Erdmann E, Freemantle N, Gras D, Kappenberger L, Tavazzi L: The effect of cardiac resynchronization on morbidity and mortality in heart failure. N Engl J Med 2005, 352:1539–1549.PubMedView Article
                            2. Young JB, Abraham WT, Smith AL, Leon AR, Lieberman R, Wilkoff B, Canby RC, Schroeder JS, Liem LB, Hall S, Wheelan K: Combined cardiac resynchronization and implantable cardioversion defibrillation in advanced chronic heart failure: the MIRACLE ICD Trial. JAMA 2003, 289:2685–2694.PubMedView Article
                            3. Abraham WT: Cardiac resynchronization therapy for the management of chronic heart failure. Am Heart Hosp J 2003, 1:55–61.PubMedView Article
                            4. Cazeau S, Leclercq C, Lavergne T, Walker S, Varma C, Linde C, Garrigue S, Kappenberger L, Haywood GA, Santini M, et al.: Effects of multisite biventricular pacing in patients with heart failure and intraventricular conduction delay. N Engl J Med 2001, 344:873–880.PubMedView Article
                            5. Aranda JM Jr, Woo GW, Schofield RS, Handberg EM, Hill JA, Curtis AB, Sears SF, Goff JS, Pauly DF, Conti JB: Management of heart failure after cardiac resynchronization therapy: integrating advanced heart failure treatment with optimal device function. J Am Coll Cardiol 2005, 46:2193–2198.PubMedView Article
                            6. Bleeker GB, Kaandorp TA, Lamb HJ, Boersma E, Steendijk P, de Roos A, van der Wall EE, Schalij MJ, Bax JJ: Effect of posterolateral scar tissue on clinical and echocardiographic improvement after cardiac resynchronization therapy. Circulation 2006, 113:969–976.PubMedView Article
                            7. Mollema SA, Nucifora G, Bax JJ: Prognostic value of echocardiography after acute myocardial infarction. Heart 2009, 95:1732–1745.PubMedView Article
                            8. Zhang Y, Yip GW, Chan AK, Wang M, Lam WW, Fung JW, Chan JY, Sanderson JE, Yu CM: Left ventricular systolic dyssynchrony is a predictor of cardiac remodeling after myocardial infarction. Am Heart J 2008, 156:1124–1132.PubMedView Article
                            9. Penicka M, Bartunek J, Lang O, Medilek K, Tousek P, Vanderheyden M, De Bruyne B, Maruskova M, Widimsky P: Severe left ventricular dyssynchrony is associated with poor prognosis in patients with moderate systolic heart failure undergoing coronary artery bypass grafting. J Am Coll Cardiol 2007, 50:1315–1323.PubMedView Article
                            10. Mollema SA, Liem SS, Suffoletto MS, Bleeker GB, van der Hoeven BL, van de Veire NR, Boersma E, Holman ER, van der Wall EE, Schalij MJ, et al.: Left ventricular dyssynchrony acutely after myocardial infarction predicts left ventricular remodeling. J Am Coll Cardiol 2007, 50:1532–1540.PubMedView Article
                            11. Zhang Y, Chan AK, Yu CM, Lam WW, Yip GW, Fung WH, So NM, Wang M, Sanderson JE: Left ventricular systolic asynchrony after acute myocardial infarction in patients with narrow QRS complexes. Am Heart J 2005, 149:497–503.PubMedView Article
                            12. Aiba T, Hesketh GG, Barth AS, Liu T, Daya S, Chakir K, Dimaano VL, Abraham TP, O'Rourke B, Akar FG, et al.: Electrophysiological consequences of dyssynchronous heart failure and its restoration by resynchronization therapy. Circulation 2009, 119:1220–1230.PubMedView Article
                            13. Chakir K, Daya SK, Aiba T, Tunin RS, Dimaano VL, Abraham TP, Jaques-Robinson KM, Lai EW, Pacak K, Zhu WZ, et al.: Mechanisms of enhanced beta-adrenergic reserve from cardiac resynchronization therapy. Circulation 2009, 119:1231–1240.PubMedView Article
                            14. Chakir K, Daya SK, Tunin RS, Helm RH, Byrne MJ, Dimaano VL, Lardo AC, Abraham TP, Tomaselli GF, Kass DA: Reversal of global apoptosis and regional stress kinase activation by cardiac resynchronization. Circulation 2008, 117:1369–1377.PubMedView Article
                            15. Sasano T, McDonald AD, Kikuchi K, Donahue JK: Molecular ablation of ventricular tachycardia after myocardial infarction. Nat Med 2006, 12:1256–1258.PubMedView Article
                            16. Abd-Elmoniem KZ, Osman NF, Prince JL, Stuber M: Three-dimensional magnetic resonance myocardial motion tracking from a single image plane. Magn Reson Med 2007, 58:92–102.PubMedView Article
                            17. Barth AS, Aiba T, Halperin V, DiSilvestre D, Chakir K, Colantuoni C, Tunin RS, Dimaano VL, Yu W, Abraham TP, et al.: Cardiac resynchronization therapy corrects dyssynchrony-induced regional gene expression changes on a genomic level. Circ Cardiovasc Genet 2009, 2:371–378.PubMedView Article
                            18. Miyazaki C, Redfield MM, Powell BD, Lin GM, Herges RM, Hodge DO, Olson LJ, Hayes DL, Espinosa RE, Rea RF, et al.: Dyssynchrony indices to predict response to cardiac resynchronization therapy: a comprehensive prospective single-center study. Circ Heart Fail 2010, 3:565–573.PubMedView Article
                            19. Helm RH, Leclercq C, Faris OP, Ozturk C, McVeigh E, Lardo AC, Kass DA: Cardiac dyssynchrony analysis using circumferential versus longitudinal strain: implications for assessing cardiac resynchronization. Circulation 2005, 111:2760–2767.PubMedView Article
                            20. Lardo AC, Abraham TP, Kass DA: Magnetic resonance imaging assessment of ventricular dyssynchrony: current and emerging concepts. J Am Coll Cardiol 2005, 46:2223–2228.PubMedView Article
                            21. Abd-Elmoniem KZ, Stuber M, Prince JL: Direct three-dimensional myocardial strain tensor quantification and tracking using zHARP. Med Image Anal 2008, 12:778–786.PubMedView Article
                            22. Hunt SA: ACC/AHA 2005 guideline update for the diagnosis and management of chronic heart failure in the adult: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (Writing Committee to Update the 2001 Guidelines for the Evaluation and Management of Heart Failure). J Am Coll Cardiol 2005, 46:e1–82.PubMedView Article
                            23. Chung EH, Mounsey JP: Delayed dyssynchronous LV contraction in patients with ischemic cardiomyopathy and narrow QRS complexes is not accompanied by delayed electrical activation: an explanation for lack of CRT success in this group? J Cardiovasc Electrophysiol 2010, 21:78–80.PubMedView Article
                            24. Lautamaki R, Schuleri KH, Sasano T, Javadi MS, Youssef A, Merrill J, Nekolla SG, Abraham MR, Lardo AC, Bengel FM: Integration of infarct size, tissue perfusion, and metabolism by hybrid cardiac positron emission tomography/computed tomography: evaluation in a porcine model of myocardial infarction. Circ Cardiovasc Imaging 2009, 2:299–305.PubMedView Article
                            25. Sasano T, Kelemen K, Greener ID, Donahue JK: Ventricular tachycardia from the healed myocardial infarction scar: validation of an animal model and utility of gene therapy. Heart Rhythm 2009, 6:S91–97.PubMedView Article
                            26. Ashikaga H, Sasano T, Dong J, Zviman MM, Evers R, Hopenfeld B, Castro V, Helm RH, Dickfeld T, Nazarian S, et al.: Magnetic resonance-based anatomical analysis of scar-related ventricular tachycardia: implications for catheter ablation. Circ Res 2007, 101:939–947.PubMedView Article
                            27. Urheim S, Edvardsen T, Torp H, Angelsen B, Smiseth OA: Myocardial strain by Doppler echocardiography. Validation of a new method to quantify regional myocardial function. Circulation 2000, 102:1158–1164.PubMed
                            28. Chung ES, Leon AR, Tavazzi L, Sun JP, Nihoyannopoulos P, Merlino J, Abraham WT, Ghio S, Leclercq C, Bax JJ, et al.: Results of the Predictors of Response to CRT (PROSPECT) trial. Circulation 2008, 117:2608–2616.PubMedView Article
                            29. Yu CM, Fung JW, Zhang Q, Chan CK, Chan YS, Lin H, Kum LC, Kong SL, Zhang Y, Sanderson JE: 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 resynchronization therapy. Circulation 2004, 110:66–73.PubMedView Article
                            30. Klemm HU, Krause KT, Ventura R, Schneider C, Aydin MA, Johnsen C, Boczor S, Meinertz T, Morillo CA, Kuck KH: Slow wall motion rather than electrical conduction delay underlies mechanical dyssynchrony in postinfarction patients with narrow QRS complex. J Cardiovasc Electrophysiol 2010, 21:70–77.PubMedView Article
                            31. Gardner PI, Ursell PC, Fenoglio JJ Jr, Wit AL: Electrophysiologic and anatomic basis for fractionated electrograms recorded from healed myocardial infarcts. Circulation 1985, 72:596–611.PubMedView Article
                            32. Ursell PC, Gardner PI, Albala A, Fenoglio JJ Jr, Wit AL: Structural and electrophysiological changes in the epicardial border zone of canine myocardial infarcts during infarct healing. Circ Res 1985, 56:436–451.PubMed
                            33. de Bakker JM, van Capelle FJ, Janse MJ, Tasseron S, Vermeulen JT, de Jonge N, Lahpor JR: Slow conduction in the infarcted human heart. 'Zigzag' course of activation. Circulation 1993, 88:915–926.PubMed
                            34. Licata A, Aggarwal R, Robinson RB, Boyden P: Frequency dependent effects on Cai transients and cell shortening in myocytes that survive in the infarcted heart. Cardiovasc Res 1997, 33:341–350.PubMedView Article
                            35. Chalil S, Foley PW, Muyhaldeen SA, Patel KC, Yousef ZR, Smith RE, Frenneaux MP, Leyva F: Late gadolinium enhancement-cardiovascular magnetic resonance as a predictor of response to cardiac resynchronization therapy in patients with ischaemic cardiomyopathy. Europace 2007, 9:1031–1037.PubMedView Article
                            36. White JA, Yee R, Yuan X, Krahn A, Skanes A, Parker M, Klein G, Drangova M: Delayed enhancement magnetic resonance imaging predicts response to cardiac resynchronization therapy in patients with intraventricular dyssynchrony. J Am Coll Cardiol 2006, 48:1953–1960.PubMedView Article
                            37. Takemoto Y, Hozumi T, Sugioka K, Takagi Y, Matsumura Y, Yoshiyama M, Abraham TP, Yoshikawa J: Beta-blocker therapy induces ventricular resynchronization in dilated cardiomyopathy with narrow QRS complex. J Am Coll Cardiol 2007, 49:778–783.PubMedView Article
                            38. Bonios M, Chang CY, Pinheiro A, Dimaano VL, Higuchi T, Melexopoulou C, Bengel F, Terrovitis J, Abraham TP, Abraham MR: Cardiac resynchronization by cardiosphere-derived stem cell transplantation in an experimental model of myocardial infarction. J Am Soc Echocardiogr 2011, 24:808–814.PubMedView Article


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