Cardiac resynchronization therapy guided by cardiovascular magnetic resonance
© Leyva; licensee BioMed Central Ltd. 2010
Received: 4 June 2010
Accepted: 9 November 2010
Published: 9 November 2010
Cardiac resynchronization therapy (CRT) is an established treatment for patients with symptomatic heart failure, severely impaired left ventricular (LV) systolic dysfunction and a wide (> 120 ms) complex. As with any other treatment, the response to CRT is variable. The degree of pre-implant mechanical dyssynchrony, scar burden and scar localization to the vicinity of the LV pacing stimulus are known to influence response and outcome. In addition to its recognized role in the assessment of LV structure and function as well as myocardial scar, cardiovascular magnetic resonance (CMR) can be used to quantify global and regional LV dyssynchrony. This review focuses on the role of CMR in the assessment of patients undergoing CRT, with emphasis on risk stratification and LV lead deployment.
European Society of Cardiology guidelines for cardiac resynchronization therapy (2010 Update).*
CRT preferentially by CRT-D is recommended to reduce morbidity or to prevent disease progression
NYHA class II
LVEF ≤ 35%, QRS ≥ 150 ms
CRT-P/CRT-D is recommended to reduce morbidity and mortality
NYHA class III/IV
LVEF ≤ 35%, QRS ≥ 120 ms
Optimal medical therapy
CRT-P/CRT-D should be considered to reduce morbidity
NYHA class III/IV
LVEF ≤ 35%, QRS ≥ 130 ms
Permanent dependency induced by AV nodal ablation
CRT-P/CRT-D should be considered to reduce morbidity
NYHA class III/IV
LVEF ≤ 35%, QRS ≥ 130 ms
Slow ventricular rate and frequent pacing
Concomitant Class I pacemaker indication
CRT-P/CRT-D is recommended to reduce morbidity
NYHA class III/IV
LVEF ≤ 35%, QRS ≥ 120 ms
CRT-P/CRT-D is recommended to reduce morbidity
NYHA class III/IV
LVEF ≤ 35%, QRS < 120 ms
CRT-P/CRT-D is recommended to reduce morbidity
NYHA class II
LVEF ≤ 35%, QRS < 120 ms
American College of Cardiology/American Heart Association/Heart Rhythm Society guidelines for cardiac resynchronization therapy (2008).*
NYHA Class III/IV
LVEF ≤ 35%, SR
QRS ≥ 120 ms
Optimal medical therapy
NYHA Class III/IV
LVEF ≤ 35%,
Optimal medical therapy
Frequent dependence on
NYHA Class III/IV
LVEF ≤ 35%
QRS ≥ 120 ms
Optimal medical therapy
NYHA Class I or II
LVEF ≤ 35%
Optimal medical therapy
Dvice implant with anticipated
frequent ventricular pacing
Appropriate diagnosis and management of heart failure not only involves an accurate assessment of myocardial and valvular function, but also of heart failure etiology. Additional aspects that are relevant to CRT are mechanical dyssynchrony, scar burden and scar localization in the vicinity of the LV pacing stimulus. With its ability to provide a one-stop assessment of all these aspects of cardiac structure and function, cardiovascular magnetic resonance (CMR) is gaining credence as a routine imaging modality for patients undergoing CRT. This review focuses on the available evidence for using CMR in the diagnostic work-up and implantation in patients undergoing CRT. The potential for further development is also explored.
Responders and non-responders to CRT
The terms 'responder' and 'non-responder' are frequently used in relation to CRT. Yet, there is no consensus on what should be considered a response . Some authors use clinical variables, such as an improvement in NYHA class or walking distance, whereas others use composite measures, such as freedom from hospitalizations or left ventricular reverse remodelling. Whilst the notion of response is conceptually attractive, we should consider the response rate to pharmacological therapy for heart failure. For example, an improvement in ≥ 1 NYHA classes is only observed in 46.7% of patients treated with enalapril,  21% of patients treated with bisoprolol and 41% of patients treated with spirinolactone . In relation to placebo, the responder rates with these drugs are 24.9% for enalapril, 6% for bisoprolol and 8% for spironolactone.
If we are to use 'response' in managing patients undergoing CRT, composite measures are probably the most useful. The combination of changes in NYHA class and LV reverse remodelling, for example, is easily quantifiable and clinically useful. We should consider, however, that the lack of a symptomatic benefit does not necessarily imply absence of a prognostic benefit.
Dyssynchrony as the target in CRT
Conducting tissue disturbances give way to conduction through the slower-conducting myocardium, delays in ventricular activation, wasted work,  a reduction in cardiac output  and LV end-systolic dilatation . According to the most popular paradigm of CRT, cardiac dyssynchrony arising from such disturbances contributes to the syndrome of heart failure and its correction leads to a clinical benefit. This paradigm, which dictates that pre-implant dyssynchrony is a sine qua non for a benefit from CRT, has driven the unrelenting search for a dyssynchrony measure as a predictor of response to and outcome of CRT.
In the pursuit for a reliable CMR measure of dyssynchrony, we must consider the extensive body of evidence in relation to dyssynchrony and CRT provided by echocardiography. Amongst the earliest and the simplest echocardiographic measures of dyssynchrony to emerge was the septal-to-posterior wall motion delay,  which is the absolute time difference between peak septal and peak posterior wall motion towards the centre of the LV. Amongst the most complex is the absolute difference or the standard deviation of the time-to-peak systolic wall motion on tissue Doppler imaging in various (usually 12) myocardial segments . These and multiple other measures raised great expectations as predictors of response to and outcome of CRT in early single-centre studies [18, 20, 21]. Their utility were further tested in the Predictors of Response to CRT (PROSPECT) trial, a multicentre study in which 12 echocardiographic parameters of dyssynchrony were assessed by a blinded core laboratory in 498 patients with standard CRT indications . In this study, the ability of echocardiographic measures to predict clinical response varied widely, with sensitivities ranging from 6% to 74% and receiver-operator characteristics curves of ≤ 0.62. Importantly, the interobserver coefficient of variation for these measures were as high as 72.1% for the septal-to-posterior wall motion delay and 33.7% for the standard deviation of the time-to-peak systolic wall motion of 12 myocardial segments on tissue Doppler imaging . Essentially, the PROSPECT study found that no single echocardiographic measure of dyssynchrony improved patient selection for CRT beyond current guidelines. In CARE-HF,  the first and only randomized controlled study of CRT to include measures of dyssynchrony in patients selection, no single echocardiographic measure of dyssychrony emerged as a clinically applicable predictor of outcome. After much expectation, echocardiographic measures of dyssynchrony have not gained credence in selecting patients for CRT [23–26].
Normal QRS duration
The purist view is that there is no treatable dyssynchrony at a QRS < 120 ms and an LVEF > 35%. Dyssynchrony, however, is a biological phenomenon and as such, is expected to behave as a continuous rather than as a dichotomous variable [27, 28]. Not surprisingly, therefore, cardiac dyssynchrony is detectable in patients with a QRS ≤ 120 ms [29–35] and higher LVEFs [36, 37]. Using CMR, we have shown that up to 91% of patients with a QRS < 120 have radial dyssychrony . (Additional File 1; Movie 1) It seems reasonable to suppose, therefore, that at least some patients with a QRS < 120 ms might benefit from CRT. Although several observational studies have reported a benefit in patients with a QRS < 120 ms, [39–41] the recently reported Resynchronization Therapy in Narrow QRS (RethinQ) study, a randomized controlled trial, showed no benefit in terms of peak oxygen consumption . This study, however did not use an implantation technique that avoids pacing LV scar. Whether or not CMR-guided CRT (avoiding scar) is effective in patients with a QRS < 120 ms remains to be explored.
Does the magnitude of pre-implant dyssynchrony affect the CRT response?
Assessing dyssynchrony with CMR
Except for the UK NICE,  no guideline group has adopted a criterion of mechanical dyssynchrony in relation to CRT. Importantly, NICE has not specified which measure of mechanical dyssynchrony should be adopted, nor what cut-off to apply. In the absence of a consensus, therefore, measures of mechanical dyssynchrony cannot be used to decide on eligibility for CRT, even in the UK. The question remains, however, as to whether measures of mechanical dyssynchrony can be used for risk stratification and for guiding LV lead deployment.
Steady-state free precession (SSFP)
To accurately assess myocardial displacement and deformation (strain and strain rate), the imaging region of interest must be tracked through the cardiac cycle. In CMR, tacking can be achieved using myocardial tagging techniques which, in effect, label areas of myocardium. Essentially, tags, which are created by manipulating magnetization. , act as fiducial markers that conform to the myocardium in which they are placed. This not only permits accurate quantification of myocardial displacement, but also of strain and strain rate . Commonly used sequences include spatial modulation of magnetization (SPAMM) and complimentary spatial modulation of magnetization (CSPAMM). The latter is more time-consuming, but it allows tags to be analysed in diastole as well as in systole.
Three-dimensional motion and strain
Various CMR techniques can be used to assess dyssynchrony from myocardial velocity measurements. In this respect, we should note the limitations of velocity-based measurements in the assessment of dyssynchrony, as demonstrated by echocardiographic studies [23, 58].
Velocity-encoded CMR has shown some promise in the assessment of dyssynchrony . In a small study, Marsan et al found a strong correlation between tissue Doppler imaging and velocity-encoded CMR with respect to longitudinal myocardial peak systolic and diastolic velocities and time to peak systolic velocity at the level of left ventricular septum and lateral walls. (r = 0.97, p < 0.001)  Similar findings emerged from a study of patients with idiopathic dilated cardiomyopathy .
Strain-encoded (SENC) CMR has recently emerged as a technique for directly imaging strain without the need for post-processing . It uses a standard tagging sequence that tags myocardium at end-diastole with a sinusoidal tag pattern which modulates the longitudinal magnetization orthogonal to the imaging plane. Myocardial deformation leads to changes in the local frequency of the tag pattern in proportion to strain. As well as providing real-time quantitative strain measures, SENC has a higher spatial resolution than standard tagging and allows acquisition of both circumferential and longitudinal myocardial strain data. So far, however, this promising technique has not been applied to CRT.
Atrioventricular and interventricular dyssynchrony
The above CMR techniques are useful for the assessment of intraventricular dyssynchrony. Interventricular dyssynchrony, however, is also relevant in CRT. In a study of 45 patients undergoing CRT, Muellerleile et al found that the interventricular mechanical delay, derived from velocity-encoded CMR, was comparable to pulsed-wave echocardiography in predicting responders to CRT .
The role of atrioventricular dyssynchrony in predicting the response to CRT has not been studied. Arguably, correction of atrioventricular dyssynchrony should relate to a favourable response. Whilst atrioventricular dyssynchrony is easily measured with echocardiography, this is still challenging for CMR.
Dyssynchrony and LV pacing site
Several studies have shown that the anatomical position of the LV lead during CRT, assessed using fluoroscopy, has no bearing on the response to and outcome of CRT [64–66]. Small echocardiographic studies using tissue Doppler imaging,  tissue synchronization imaging (TSI),  three-dimensional echocardiography,  and speckle tracking,  however, have shown that a better response to CRT can be achieved if the LV lead is deployed in the area of latest activation or contraction. There is, nevertheless, a wide interindividual variation with respect to the site of latest activation [67–70].
Using the combination of pressure-volume loops and myocardial tagging to assess the ideal LV position in pacing-induced failing canine hearts, Helm et al found that LV sites yielding 70% of the maximal dP/dtmax increase covered approx. 43% of the LV free wall . The distribution and size of these pacing sites correlated with the three-dimensional dyssynchrony mapping derived from myocardial tagging. Essentially, this study provided proof of concept that myocardial tagging can be used to locate the ideal site for LV lead deployment in CRT. Importantly, however, this animal model did not involve myocardial infarction. Rademakers et al, on the other hand, have recently devised an animal model of heart failure involving myocardial infarction . This model revealed that CRT can improve resynchronization and LV pump function to a similar degree in infarcted than non-infarcted hearts, but optimal lead positioning and timing of LV stimulation was crucial. In clinical practice, it is likely that combining three-dimensional myocardial tagging with an assessment of scar will be useful in guiding LV lead deployment.
If deploying the LV lead in an area of late activation or contraction is indeed important, it is in the interest of the CRT implanter to know how many areas there are and where they are. In this respect, we should consider that the myocardium is a complex anisotropic fibre structure, consisting of longitudinal, circumferential and oblique layers that form a mechanical link between remote areas of the myocardium [72–74]. The myocardium is also electrically heterogeneous from endocardium to mid-myocardium and epicardium . Conduction disturbances, superimposed on the inherent anatomical, functional and electrical heterogeneity of the myocardium is likely to lead to multiple areas of dyssynchrony [76, 77].
Additional file 3: Movie 3. Colour-coded endocardial wall motion throughout the cardiac cycle in a healthy subject, derived from SSFP imaging. Note the homogeneity of colour (early wall motion in blue and late wall motion in red) throughout the cardiac cycle. (WMV 748 KB)
Additional file 4: Movie 4. Colour-coded endocardial wall motion throughout the cardiac cycle in a patients with heart failure and a left bundle branch block, derived from SSFP imaging. Note the heterogeneity of colour (early wall motion in blue and late wall motion in red) throughout the cardiac cycle. (WMV 740 KB)
Myocardial scar and CRT
The effectiveness of almost all cardiac therapies is dependent on myocardial viability. Such is certainly the case for revascularization [79–84] and pharmacological therapy . With respect to CRT, the total amount of scar (scar burden), its location and relationship to the pacing stimulus have been shown to be important in determining response and outcome. It is by virtue of unique anatomical resolution and the contrast between scarred and non-scarred myocardium achievable[81, 86, 87] that CMR has become the gold-standard for the in vivo assessment of myocardial scarring.
Several studies have shown that scar burden relates to a poor response to and outcome from CRT. In a LGE-CMR study of 28 patients undergoing CRT, White et al found that scar burden was higher in the non-responders versus responders group (median 24.7% vs. 1.0%, respectively, p = 0.0022) . In a study of 45 patients with ischemic cardiomyopathy, we showed that scar burden correlated negatively with changes in 6-min walking distance (r = -0.54, p < 0.0001) and positively with changes in quality of life scores (r = 0.35, p = 0.028; high scores denote a poorer quality of life). The response (defined as survival for one year following implantation free of hospitalizations plus an improvement by ≥ 1 NYHA classes or by ≥ 25% in 6-min walking distance) in patients with < 33% scar was 2.3 times greater than in patients with ≥ 33% scar . In a further study of 62 patients undergoing CRT, we found that the presence of a LV free wall scar was as an independent predictor of the composite endpoints of cardiovascular death or hospitalization for worsening heart failure [HR: 3.06, P < 0.0001)] as well as the endpoint of cardiovascular death [HR: 2.63, P = 0.0016)] after a mean follow-up period of 2 years. These findings are in keeping with those of a study using 201Tl single photon emission computed tomography (SPECT),  in which scar burden was shown to correlate negatively with changes in LVEF after CRT (r = -0.53; P < 0.0001).
The cut-off of scar burden above which CRT becomes ineffective is difficult to identify from the various studies. This is partly due to the adoption of different criteria for response to CRT and the inclusion of varying proportion of patients with ischemic and non-ischemic cardiomyopathy. For example, in our study of only patients with ischemic cardiomyopathy,  a scar volume of 33% was the best cut-off for predicting a favourable response: the responder rate in patients with < 33% scar was 2.3 times greater than patients with ≥ 33% scar. In contrast, White et al, who studies patients with ischemic (52%) and non-ischemic cardiomyopathy, found a scar burden < 15% as the best cut-off for predicting a clinical response . Taken together, these studies of myocardial scarring and CRT support the hypothesis that there is a limit of scar burden above which resynchronization becomes ineffective.
Scar location and relationship to LV pacing site
Following the finding that pacing LV free wall scar is detrimental in CRT is the use of LGE-CMR to guide LV lead deployment has become standard practice in some centres. In the author's implanting experience, scarring over the entire LV free wall is a rare occurrence and it is unusual not to have coronary sinus tributaries over non-scarred myocardium.
Heart failure is a complex syndrome that can hardly be quantified in terms of a single parameter. Accordingly, it is perhaps folly to consider that one single parameter can be used to predict the response and outcome of CRT. Clearly, the outcome of heart failure and CRT are intimately dependent on a panoply of factors, not all of which relate to hemodynamic or imaging parameters. It is this which provides the biological rationale for using composite predictors. The statistical attraction is that composite predictor tends to dampen the background noise of sampling error .
CMR and etiology of heart failure
Heart failure is not a diagnosis without qualification of etiology . The etiology of heart failure influences prognosis and the choice of therapy, including device therapy. In this respect, the 2007 UK National Institute of Clinical Excellence (NICE) guidance stipulated that CRT-D should only be considered if there is a history of a myocardial infarction, or 'a familial cardiac condition with a history of sudden death, including long QT syndrome, hypertrophic cardiomyopathy, Brugada syndrome or arrhythmogenic right ventricular dysplasia, or have undergone surgical repair of congenital heart disease' . Idiopathic dilated cardiomyopathy, which accounts for most cases of non-ischemic cardiomyopathy, was not considered by NICE and therefore, falls under the guidance for CRT-P. In the UK, therefore, etiology is particularly important in choosing between CRT-P or CRT-D. Importantly, however, an ischemic etiology does not imply reduced prognostic benefit from CRT .
The diagnosis of ischemic cardiomyopathy has traditionally been made on the basis of a history of a myocardial infarction,  the finding of coronary artery stenoses on coronary angiography or of a regional wall motion abnormalities on echocardiography. It is well recognized, however, that myocardial infarctions can be silent (28% in men, 35% in women),  that coronary angiography can be normal after a myocardial infarction (8%) [109, 110] and that wall motion abnormalities are not exclusive to ischemic cardiomyopathy .
The sequences used to quantify T2* have proven to be unique in the identification and management of iron overload cardiomyopathy,  Sequences using T2-weighting have also been used to identify myocardial oedema, [116, 117] which may be useful in the assessment of myocarditis and acute coronary syndromes [110, 87].
CMR device compatibility
As discussed above, the principal role of imaging in CRT is in selecting patients and in guiding device implantation. Potential aspects of imaging after device implantation, such as residual dyssynchrony and relationship of myocardial scarring to the implanted LV lead may help identifying the reasons for a lack of response.
Several factors preclude the use of CMR in patients with devices . Radiofrequency-induced heating of the pacing leads has been shown to lead to temperatures as high as 60° in experimental settings . On the other hand, radiofrequency and magnetic gradients induce currents within the device generator  and these can interfere with detection and pacing algorithms. In addition, they can induce arrhythmias and alter pacemaker settings. These factors have indeed implicated in the reported deaths. Despite these concerns, several centres have recently reported favourably on the safety of CMR in patients with pacemakers [121, 122]. Continuous ECG, blood pressure and oxygen saturation monitoring during the scan, turning off the device in non device-dependent patients, setting the leads to a bipolar configuration and using low field, gradient and radiofrequency settings are among the precautionary measures taken. With regard to CRT-D and ICDs, experience is more limited. In balance, the strength of the evidence for a role of CMR in CRT is insufficient to justify scanning after implantation.
This year has seen the launch of the first CMR-safe pacemaker (Medtronic Inc, Minneapolis, US). The development of CMR-safe CRT-P and CRT-D devices would permit assessment of cardiac function, dyssynchorny and myocardial viability after device implantation. This is not only likely to help in clinical management but it will undoubtedly further our understanding of the mechanisms underlying CRT.
Intraoperative CMR in CRT
Recently, Schwatzman have shown how myocardial scar, imaged pre-operatively using LGE-CMR, can be fused with electroanatomic mapping data to guide LV lead implantation . Using this technique, activation time and virtual venography was used to target LV lead positions, and the electroanatomic mapping system was used to assist in lead manipulation. Further studies, however, are needed to determine whether other CMR-derived data, relating to coronary sinus anatomy,  mechanical activation, [125, 34] perfusion and viability can also be 'fused' with real-time CMR or conventional fluoroscopy to guide LV lead deployment.
This decade is likely to see an exponential growth in the use of CRT for patients with heart failure. CMR not only provides unparalleled quality of imaging for cardiac structure and function but it is also unique in differentiating between the various causes of LV dysfunction. It is on this basis that CMR is already considered as an ideal 'one-stop' investigation for patients with heart failure. In addition, perhaps the most clinically applicable aspect of CMR to CRT per se is its ability to precisely localise myocardial scar, which is known to be crucial in LV lead deployment. For these reasons, CMR has a clear role in the diagnostic and implantation pathway of patients undergoing CRT. Further studies are needed to clarify the utility of fusion imaging in guiding LV lead deployment. On the part of scanner manufacturers, further software development and validation is required, so as to make analysis of dyssynchrony, tagging and LGE data more accessible to the clinician. With the development of CMR-compatible devices, the use of CMR in CRT device optimization may one day become a reality.
Conflict of interests
The authors declare that they have no competing interests.
- Cazeau S, Ritter P, Bachdach S, Lazarus A, Limousin M, Henao L, Mundler O, Daubert JC, Mugica J: Four chamber pacing in dilated cardiomyopathy. Pacing Clin Electrophysiol. 1994, 17 (11 Pt 2): 1974-1979. 10.1111/j.1540-8159.1994.tb03783.x.PubMedGoogle Scholar
- Leclercq C, Cazeau S, Le Breton H, Ritter P, Mabo P, Gras D, Pavin D, Lazarus A, Daubert JC: Acute hemodynamic effects of biventricular DDD pacing in patients with end stage heart failure. J Am Coll Cardiol. 1998, 32 (7): 1825-1831. 10.1016/S0735-1097(98)00492-6.PubMedGoogle Scholar
- Auricchio A, Stellbrink C, Block M, Sack S, Vogt J, Bakker P, Klein H, Karmer A, Ding J, Salo R, et al: Effect of pacing chamber and atrioventricular delay on acute systolic function of paced patients with congestive heart failure. Circulation. 1999, 99: 2993-3001.PubMedGoogle Scholar
- Cazeau S, Leclercq C, Lavergene 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 interventricular conduction delay. N Engl J Med. 2001, 344: 873-880. 10.1056/NEJM200103223441202.PubMedGoogle Scholar
- Cleland JGF, Daubert JC, Erdmann E, Freemantle N, Gras D, Kappenberger L, Tavazzi L: for the Cardiac Resynchronization-Heart Failure (CARE-HF) study investigators. The effect of cardiac resynchronization on morbidity and mortality in heart failure. N Eng J Med. 2005, 352: 1539-1549. 10.1056/NEJMoa050496.Google Scholar
- Bristow MR, Saxon LA, Boehmer J, Krueger S, Kass D, De Marco T, Carson P, DiCarlo L, DeMets D, White BG, et al: for the Comparison of Medical Therapy, Pacing and Defibrillation in Heart Failure (COMPANION) Investigators. Cardiac resynchronization therapy with or without an implantable defibrillator in advanced heart failure. N Eng J Med. 2004, 350: 2140-2150. 10.1056/NEJMoa032423.Google Scholar
- Moss AJ, Hall WJ, Cannom DS, Klein H, Brown MW, Daubert JP, Estes NA, Foster E, Greenberg H, Higgins SL, et al: Cardiac-resynchronization therapy for the prevention of heart-failure events. N Engl J Med. 2009, 361 (14): 1329-1338. 10.1056/NEJMoa0906431.PubMedGoogle Scholar
- Daubert C, Gold MR, Abraham WT, Ghio S, Hassager C, Goode G, Szili-Torok T, Linde C: Prevention of disease progression by cardiac resynchronization therapy in patients with asymptomatic or mildly symptomatic left ventricular dysfunction: insights from the European cohort of the REVERSE (Resynchronization Reverses Remodeling in Systolic Left Ventricular Dysfunction) trial. J Am Coll Cardiol. 2009, 54 (20): 1837-1846. 10.1016/j.jacc.2009.08.011.PubMedGoogle Scholar
- Funck RC, Blanc JJ, Mueller HH, Schade-Brittinger C, Bailleul C, Maisch B: Biventricular stimulation to prevent cardiac desynchronization: rationale, design, and endpoints of the 'Biventricular Pacing for Atrioventricular Block to Prevent Cardiac Desynchronization (BioPace)' study. Europace. 2006, 8 (8): 629-635. 10.1093/europace/eul075.PubMedGoogle Scholar
- Holzmeister J, Hurlimann D, Steffel J, Ruschitzka F: Cardiac resynchronization therapy in patients with a narrow QRS. Current heart failure reports. 2009, 6 (1): 49-56. 10.1007/s11897-009-0009-5.PubMedGoogle Scholar
- Foley PW, Leyva F, Frenneaux MP: What is treatment success in cardiac resynchronization therapy?. Europace. 2009, 11 (Suppl 5): v58-65. 10.1093/europace/eup308.PubMed CentralPubMedGoogle Scholar
- Effects of enalapril on mortality in severe congestive heart failure. Results of the Cooperative North Scandinavian Enalapril Survival Study (CONSENSUS). The CONSENSUS Trial Study Group. N Engl J Med. 1987, 316 (23): 1429-1435. 10.1056/NEJM198706043162301.Google Scholar
- A randomized trial of beta-blockade in heart failure. The Cardiac Insufficiency Bisoprolol Study (CIBIS). CIBIS Investigators and Committees. Circulation. 1994, 90 (4): 1765-1773.Google Scholar
- Pitt B, Zannad F, Remme WJ, for the Randomized Aldactone Evaluation Study Investigators, et al: The effect of spironolactone on morbidity and mortality in patients with severe heart failure. N Engl J Med. 1999, 341: 709-717. 10.1056/NEJM199909023411001.PubMedGoogle Scholar
- Prinzen FW, Augustijn CH, Arts T, Allessie MA, Reneman RS: Redistribution of myocardial fiber strain and blood flow by asynchronous activation. Am J Physiol. 1990, 259: H300-H308.PubMedGoogle Scholar
- Park RC, Little WC, O'Rourke RA: Effect of alteration of left ventricular activation sequence on the left ventricular end-systolic pressure-volume relation in closed-chest dogs. Circ Res. 1985, 57 (5): 706-717.PubMedGoogle Scholar
- Burkhoff D, Oikawa RY, Sagawa K: Influence of pacing site on canine left ventricular contraction. Am J Physiol. 1986, 251: H428-H435.PubMedGoogle Scholar
- Pitzalis MV, Iacoviello M, Romito R, Guida P, De Tomasi E, Luzzi G, Anaclerio M, Forleo C, Rizzon P: Cardiac resynchronization therapy tailored by echocardiographic evaluation of ventricular asynchrony. J Am Col Cardiol. 2002, 40: 1615-1622. 10.1016/S0735-1097(02)02337-9.Google Scholar
- Yu CM, Zhang Q, Chan YS, Chan CK, Yip GW, Kum LC, Wu EB, Lee PW, Lam YY, Chan S, et al: Tissue Doppler velocity is superior to displacement and strain mapping in predicting left ventricular reverse remodelling response after cardiac resynchronisation therapy. Heart. 2006, 92 (10): 1452-1456. 10.1136/hrt.2005.083592.PubMed CentralPubMedGoogle Scholar
- Yu CM, Fung WH, Lin H, Zhang Q, Sanderson JE, Lau CP: Predictors of left ventricular reverse remodeling after cardiac resynchronization therapy for heart failure secondary to idiopathic dilated or ischemic cardiomyopathy. Am J Cardiol. 2003, 91 (6): 684-688. 10.1016/S0002-9149(02)03404-5.PubMedGoogle Scholar
- Bax JJ, Bleeker GB, Marwick TH, Molhoek SG, Boersma E, Steendijk P, Van der Wall EE, Schalij MJ: Left ventricular dyssynchrony predicts response and prognosis after cardiac resynchronization therapy. J Am Col Cardiol. 2004, 44: 1834-1840. 10.1016/j.jacc.2004.08.016.Google Scholar
- Chung E, Leon A, Tavazzi L, Sun J, Nihoyannopoulos P, Merlino J, Abraham W, Guio S, Leclerq C, Bax J, et al: Results of the Predictors of Response to CRT (PROSPECT) Trial. Circulation. 2008, 117 (20): 2608-2616. 10.1161/CIRCULATIONAHA.107.743120.PubMedGoogle Scholar
- Hawkins NM, Petrie MC, Burgess MI, McMurray JJ: Selecting patients for cardiac resynchronization therapy: the fallacy of echocardiographic dyssynchrony. J Am Coll Cardiol. 2009, 53 (21): 1944-1959. 10.1016/j.jacc.2008.11.062.PubMedGoogle Scholar
- Marwick T: Hype and hope in the use of echocardiography for selection for cardiac resynchronization therapy: the tower of Babel revisited. Circulation. 2008, 117: 2573-2576. 10.1161/CIRCULATIONAHA.108.772475.PubMedGoogle Scholar
- Conca C, Faletra FF, Miyazaki C, Oh J, Mantovani A, Klersy C, Sorgente A, Pedrazzini GB, Pasotti E, Moccetti T, et al: Echocardiographic parameters of mechanical synchrony in healthy individuals. Am J Cardiol. 2009, 103 (1): 136-142. 10.1016/j.amjcard.2008.08.039.PubMedGoogle Scholar
- Fornwalt BK, Sprague WW, BeDell P, Suever JD, Gerritse B, Merlino JD, Fyfe DA, Leon AR, Oshinski JN: Agreement Is Poor Among Current Criteria Used to Define Response to Cardiac Resynchronization Therapy. Circulation. 2010, 121 (18): 1985-1991. 10.1161/CIRCULATIONAHA.109.910778.PubMed CentralPubMedGoogle Scholar
- Kass D: An epidemic of dyssynchrony. J Am Coll Cardiol. 2008, 51: 12-17. 10.1016/j.jacc.2007.09.027.PubMedGoogle Scholar
- Nagueh S: Mechanical dyssynchrony in congestive heart failure. J Am Coll Cardiol. 2008, 51: 18-22. 10.1016/j.jacc.2007.08.052.PubMedGoogle Scholar
- Yu CM, Yang H, Lau CP, Wang Q, Wang S, Lam L, Sanderson JE: Regional left ventricle mechanical asynchrony in patients with heart disease and normal QRS duration: implication for biventricular pacing therapy. Pacing Clin Electrophysiol. 2003, 26 (2 Pt 1): 562-570. 10.1046/j.1460-9592.2003.00095.x.PubMedGoogle Scholar
- Yu CM, Lin H, Zhang Q, Sanderson JE: High prevalence of left ventricular systolic and diastolic asynchrony in patients with congestive heart failure and normal QRS duration. Heart. 2003, 89: 54-60. 10.1136/heart.89.1.54.PubMed CentralPubMedGoogle Scholar
- Haghjoo M, Bagherzadeh A, Fazelifar A, Haghighi Z, Esmaielzadeh M, Alizadeh A, Emkanjoo Z, Sadeghpour A, Samiei N, Farahani M, et al: Prevalence of mechanical dyssynchrony in heart failure patients with different QRS durations. Pacing Clin Electrophysiol. 2007, 30: 616-622. 10.1111/j.1540-8159.2007.00722.x.PubMedGoogle Scholar
- Takemoto Y, Hozumi T, Sugioka K, Takagi Y, Matsumura Y, Yoshiyama M, Abraham T, Yoshikawa J: Beta-blocker therapy induces ventricular resynchronization in dilated cardiomyopathy with narrow QRS complex. J Am Coll Cardiol. 2007, 49: 778-783. 10.1016/j.jacc.2006.05.081.PubMedGoogle Scholar
- Marcassa C, Campini R, Verna E, Ceriani L, Giannuzzi P: Assessment of cardiac asynchrony by radionuclide phase analysis: correlation with ventricular function in patients with narrow or prolonged QRS interval. Eur J Heart Fail. 2007, 9: 484-490. 10.1016/j.ejheart.2007.01.002.PubMedGoogle Scholar
- Chalil S, Stegemann B, Muhyaldeen S, Khadjooi K, Smith R, Jordan P, Leyva F: Intraventricular Dyssynchrony Predicts Mortality and Morbidity Following Cardiac Resynchronization Therapy: A Study Using Cardiovascular Magnetic Resonance Tissue Synchronization Imaging. J Am Coll Cardiol. 2007, 50: 243-252. 10.1016/j.jacc.2007.03.035.PubMedGoogle Scholar
- Turner M, Bleasdale R, Vinereanu D, Mumford C, Paul V, Fraser A, Frenneaux M: Electrical and mechanical components of dyssynchrony in heart failure patients with normal QRS duration and left bundle-branch block: impact of left and biventricular pacing. Circulation. 2004, 109: 2544-2549. 10.1161/01.CIR.0000131184.40893.40.PubMedGoogle Scholar
- Wang J, Kurrelmeyer K, Torre-Amione G, Nagueh S: Systolic and diastolic dyssynchrony in patents with diastolic heart failure and the effect of medical therapy. J Am Coll Cardiol. 2007, 49: 88-96. 10.1016/j.jacc.2006.10.023.PubMedGoogle Scholar
- Chan CP, Zhang Q, Yip GW, Fung JW, Lam YY, Lee PW, Wu EB, Shang Q, Liang Y, Yu CM: Relation of left ventricular systolic dyssynchrony in patients with heart failure to left ventricular ejection fraction and to QRS duration. Am J Cardiol. 2008, 102 (5): 602-605. 10.1016/j.amjcard.2008.04.032.PubMedGoogle Scholar
- Foley PW, Khadjooi K, Ward JA, Smith RE, Stegemann B, Frenneaux MP, Leyva F: Radial dyssynchrony assessed by cardiovascular magnetic resonance in relation to left ventricular function, myocardial scarring and QRS duration in patients with heart failure. J Cardiovasc Magn Reson. 2009, 11 (1): 50-56. 10.1186/1532-429X-11-50.PubMed CentralPubMedGoogle Scholar
- Achilli A, Sassara M, Ficili S, Pontillo D, Achilli P, Alessi C, De Spirito S, Guerra R, Patruno N, Serra F: Long-term effectiveness of cardiac resynchronization therapy in patients with refractory heart failure and "narrow" QRS. J Am Coll Cardiol. 2003, 42: 2117-2124. 10.1016/j.jacc.2003.08.024.PubMedGoogle Scholar
- Yu CM, Chan Y, Zhang Q, Yip G, Chan C, Kum L, Wu L, Lee A, Lam Y, Fung J: Benefits of cardiac resynchronization therapy for heart failure patients with narrow QRS complexes and coexisting systolic asynchrony by echocardiography. J Am Coll Cardiol. 2006, 48: 2251-2257. 10.1016/j.jacc.2006.07.054.PubMedGoogle Scholar
- Gasparini M, Mantica M, Galimberti P, Marconi M, Genovese L, Faletra F, Simonini S, Klersy C, Coates R, Gronda E: Beneficial effects of biventricular pacing in patients with a "narrow" QRS. Pacing Clin Electrophysiol. 2003, 26 (1 Pt 2): 169-174. 10.1046/j.1460-9592.2003.00010.x.PubMedGoogle Scholar
- Beshai J, Grimm R, Nagueh S, Baker J, Beau S, Greenberg S, Pires L, Tchou P, for the RethinQ Study Investigators: Cardiac-resynchronization therapy in heart failure with narrow QRS complexes. N Eng J Med. 2007, 357: 2461-2471. 10.1056/NEJMoa0706695.Google Scholar
- Auricchio A, Leyva F: Inclusion and exclusion criteria for CRT. Heart Rhythm. 2009, 6 (8): 1235-1237. 10.1016/j.hrthm.2009.03.053.PubMedGoogle Scholar
- Barnett D, Phillips S, Longson C: Cardiac resynchronisation therapy for the treatment of heart failure: NICE technology appraisal guidance. Heart. 2007, 93: 1134-1135. 10.1136/hrt.2007.127563.PubMed CentralPubMedGoogle Scholar
- Koos R, Neizel M, Schummers G, Krombach GA, Stanzel S, Gunther RW, Kelm M, Kuhl HP: Feasibility and initial experience of assessment of mechanical dyssynchrony using cardiovascular magnetic resonance and semi-automatic border detection. J Cardiovasc Magn Reson. 2008, 10 (1): 49-10.1186/1532-429X-10-49.PubMed CentralPubMedGoogle Scholar
- Fornwalt BK, Gonzales PC, Delfino JG, Eisner R, Leon AR, Oshinski JN: Quantification of left ventricular internal flow from cardiac magnetic resonance images in patients with dyssynchronous heart failure. J Magn Reson Imaging. 2008, 28 (2): 375-381. 10.1002/jmri.21446.PubMedGoogle Scholar
- Axel L, Dougherty L: MR imaging of motion with spatial modulation of magnetization. Radiology. 1989, 171 (3): 841-845.PubMedGoogle Scholar
- Shehata ML, Cheng S, Osman NF, Bluemke DA, Lima JA: Myocardial tissue tagging with cardiovascular magnetic resonance. J Cardiovasc Magn Reson. 2009, 11 (1): 55-10.1186/1532-429X-11-55.PubMed CentralPubMedGoogle Scholar
- Kraitchman DL, Sampath S, Castillo E, Derbyshire JA, Boston RC, Bluemke DA, Gerber BL, Prince JL, Osman NF: Quantitative ischemia detection during cardiac magnetic resonance stress testing by use of FastHARP. Circulation. 2003, 107 (15): 2025-2030. 10.1161/01.CIR.0000062684.47526.47.PubMedGoogle Scholar
- Nelson GS, Curry CW, Wyman BT, Kramer A, Declerck J, Talbot M, Douglas MR, Berger RD, McVeigh ER, Kass DA: Predictors of systolic augmentation from left ventricular pre excitation in patients with dilated cardiomyopathy and intraventricular conduction delay. Circulation. 2000, 101 (23): 2703-2709.PubMedGoogle Scholar
- Wyman BT, Hunter WC, Prinzen FW, Faris OP, McVeigh ER: Effects of single-and biventricular pacing on temporal and spatial dynamics of ventricular contraction. Am J Physiol Heart Circ Physiol. 2002, 282: H372-H379.PubMedGoogle Scholar
- Helm RH, Lecquercq C, Faris Q, Ozturk C, McVeigh E, Lardo AC, Kass D: Cardiac dyssynchrony analysis using circumferential versus longitudinal strain: Implications for assessing cardiac resynchronization. Circulation. 2005, 111: 2760-2767. 10.1161/CIRCULATIONAHA.104.508457.PubMed CentralPubMedGoogle Scholar
- Leclercq C, Fairs O, Tunin R, Johnson J, Kato R, Evans F, Spinelli J, Halperin H, McVeigh E, Kass DA: Systolic improvement and mechanical resynchronization does not require electrical synchrony in the dilated failing heart with left bundle branch block. Circulation. 2002, 106: 1760-1763. 10.1161/01.CIR.0000035037.11968.5C.PubMedGoogle Scholar
- Helm RH, Byrne M, Helm PA, Daya SK, Osman NF, Tunin R, Halperin HR, Berger RD, Kass DA, Lardo AC: Three-dimensional mapping of optimal left ventricular pacing site for cardiac resynchronization. Circulation. 2007, 115 (8): 953-961. 10.1161/CIRCULATIONAHA.106.643718.PubMedGoogle Scholar
- Bilchick KC, Dimaano V, Wu KC, Helm RH, Weiss RG, Lima JA, Berger RD, Tomaselli GF, Bluemke DA, Halperin HR, et al: Cardiac magnetic resonance assessment of dyssynchrony and myocardial scar predicts function class improvement following cardiac resynchronization therapy. Jacc. 2008, 1 (5): 561-568.PubMed CentralPubMedGoogle Scholar
- Sengupta PP, Khandheria BK, Narula J: Twist and untwist mechanics of the left ventricle. Heart failure clinics. 2008, 4 (3): 315-324. 10.1016/j.hfc.2008.03.001.PubMedGoogle Scholar
- Xu C, Pilla J, Isaac G, Gorman J, Blom A, Gorman R, Ling Z, Dougherty L: Deformation analysis of 3D tagged cardiac images using an optical flow method. J Cardiovasc Magn Reson. 2010, 12 (1): 19-25. 10.1186/1532-429X-12-19.PubMed CentralPubMedGoogle Scholar
- Miyazaki C, Powell BD, Bruce CJ, Espinosa RE, Redfield MM, Miller FA, Hayes DL, Cha YM, Oh JK: Comparison of echocardiographic dyssynchrony assessment by tissue velocity and strain imaging in subjects with or without systolic dysfunction and with or without left bundle-branch block. Circulation. 2008, 117 (20): 2617-2625. 10.1161/CIRCULATIONAHA.107.733675.PubMedGoogle Scholar
- Constable RT, Rath KM, Sinusas AJ, Gore JC: Development and evaluation of tracking algorithms for cardiac wall motion analysis using phase velocity MR imaging. Magn Reson Med. 1994, 32 (1): 33-42. 10.1002/mrm.1910320106.PubMedGoogle Scholar
- Marsan NA, Bleeker GB, van Bommel RJ, Ypenburg C, Delgado V, Borleffs CJ, Holman ER, van der Wall EE, Schalij MJ, Bax JJ: Comparison of time course of response to cardiac resynchronization therapy in patients with ischemic versus nonischemic cardiomyopathy. Am J Cardiol. 2009, 103 (5): 690-694. 10.1016/j.amjcard.2008.11.008.PubMedGoogle Scholar
- Westenberg JJM, Lamb H, van der Geest RJ, Bleeker GA, Holman ER, Schalij MJ, de Roos A, Van der Wall EE, Reiber JHC, Bax JJ: Assessment of left ventricular dyssynchrony in patients with conduction delay and idiopathic dilated cardiomyopathy:head-to-head comparison between tissue Doppler imaging and velocity-encoded magnetic resonance imaging. J Am Coll Cardiol. 2006, 47: 2042-2048. 10.1016/j.jacc.2006.01.058.PubMedGoogle Scholar
- Osman NF, Sampath S, Atalar E, Prince JL: Imaging longitudinal cardiac strain on short-axis images using strain-encoded MRI. Magn Reson Med. 2001, 46 (2): 324-334. 10.1002/mrm.1195.PubMedGoogle Scholar
- Muellerleile K, Baholli L, Groth M, Barmeyer AA, Koopmann K, Ventura R, Koester R, Adam G, Willems S, Lund GK: Interventricular mechanical dyssynchrony: quantification with velocity-encoded MR imaging. Radiology. 2009, 253 (2): 364-371. 10.1148/radiol.2532090145.PubMedGoogle Scholar
- Gasparini M, Mantica M, Galimberti P, Bocciolone M, Genovese L, Mangiavacchi M, Marchesina UL, Faletra F, Klersy C, Coates R, et al: Is the left ventricular lateral wall the best lead implantation site for cardiac resynchronization therapy?. Pacing Clin Electrophysiol. 2003, 26 (1 Pt 2): 162-168. 10.1046/j.1460-9592.2003.00009.x.PubMedGoogle Scholar
- Rossillo A, Verma A, Saad EB, Corrado A, Gasparini G, Marrouche NF, Golshayan AR, McCurdy R, Bhargava M, Khaykin Y, et al: Impact of coronary sinus lead position on biventricular pacing: mortality and echocardiographic evaluation during long-term follow-up. J Cardiovasc Electrophysiol. 2004, 15 (10): 1120-1125. 10.1046/j.1540-8167.2004.04089.x.PubMedGoogle Scholar
- Kronborg MB, Albertsen AE, Nielsen JC, Mortensen PT: Long-term clinical outcome and left ventricular lead position in cardiac resynchronization therapy. Europace. 2009, 11 (9): 1177-1182. 10.1093/europace/eup202.PubMedGoogle Scholar
- Ansalone G, Giannantoni P, Ricci R, et al: Doppler myocardial imaging in patients with heart failure receiving biventricular pacing treatment. Am Heart J. 2001, 142: 881-896. 10.1067/mhj.2001.117324.PubMedGoogle Scholar
- Murphy RT, Sigurdsson G, Mulamalla S, Agler D, Popovic ZB, Starling RC, Wilkoff BL, Thomas JD, Grimm RA: Tissue synchronization imaging and optimal left ventricular pacing site in cardiac resynchronization therapy. Am J Cardiol. 2006, 97 (11): 1615-1621. 10.1016/j.amjcard.2005.12.054.PubMedGoogle Scholar
- Becker M, Hoffmann R, Schmitz F, Hundemer A, Kuhl H, Schauerte P, Kelm M, Franke A: Relation of optimal lead positioning as defined by three-dimensional echocardiography to long-term benefit of cardiac resynchronization. Am J Cardiol. 2007, 100 (11): 1671-1676. 10.1016/j.amjcard.2007.07.019.PubMedGoogle Scholar
- Becker M, Franke A, Breithardt OA, Ocklenburg C, Kaminski T, Kramann R, Knackstedt C, Stellbrink C, Hanrath P, Schauerte P, et al: Impact of left ventricular lead position on the efficacy of cardiac resynchronisation therapy: a two-dimensional strain echocardiography study. Heart. 2007, 93 (10): 1197-1203. 10.1136/hrt.2006.095612.PubMed CentralPubMedGoogle Scholar
- Rademakers L, VanKerckhoven R, vanDeursen C, Strik M, vanHunnik A, Kuiper M, Lampert A, Klersy C, Leyva F, Auricchio A, et al: Myocardial Infarction Does Not Preclude Electrical and Hemodynamic Benefits of CRT in Dyssynchronous Canine Hearts. Circ Arrhythm Electrophysiol. 2010Google Scholar
- Torrent-Guasp F, Kocica MJ, Corno AF, Komeda M, Carreras-Costa F, Flotats A, Cosin-Aguillar J, Wen H: Towards new understanding of the heart structure and function. Eur J Cardiothorac Surg. 2005, 27: 191-201. 10.1016/j.ejcts.2004.11.026.PubMedGoogle Scholar
- Greenbaum RA, Ho SY, Gibson DG, Becker AE, Anderson RH: Left ventricular fibre architecture in man. Br Heart J. 1981, 45 (3): 248-263. 10.1136/hrt.45.3.248.PubMed CentralPubMedGoogle Scholar
- Yettram A, Vinson CA, Gibson DG: Effect of myocardial fibre architecture on the behaviour of the human left ventricle in diastole. J Biomed Eng. 1983, 5: 321-328. 10.1016/0141-5425(83)90008-0.PubMedGoogle Scholar
- Antzelevitch C, Fish J: Electrical heterogeneity within the ventricular wall. Basic Res Cardiol. 2001, 96: 517-527. 10.1007/s003950170002.PubMedGoogle Scholar
- Cassidy D, Vassallo J, Miller J, Poll D, Buxton A, Marchinski F, Josephson M: Endocardial catheter mapping in patients in sinus rhythm: relationship to underlying heart disease and ventricular arrhythmias. Circulation. 1986, 73: 645-652.PubMedGoogle Scholar
- Tournoux F, Donal E, Leclercq C, De Place C, Crocq C, Solnon A, Cohen-Solal A, Mabo P, Daubert JC: Concordance Between Mechanical and Electrical Dyssynchrony in Heart Failure Patients: A Function of the Underlying Cardiomyopathy?. J Cardiovasc Electrophysiol. 2007, 18: 1022-1027. 10.1111/j.1540-8167.2007.00900.x.PubMedGoogle Scholar
- Leclercq C, Gadler F, Kranig W, Ellery S, Gras D, Lazarus A, Clémenty J, Boulogne E, Daubert J, TRIP-HF (Triple Resynchronization In Paced Heart Failure Patients) Study Group: A randomized comparison of triple-site versus dual-site ventricular stimulation in patients with congestive heart failure. J Am Coll Cardiol. 2008, 51: 1455-1462. 10.1016/j.jacc.2007.11.074.PubMedGoogle Scholar
- Allman KC, Shaw LJ, Hachamovitch R, Udelson JE: Myocardial viability testing and impact of revascularization on prognosis in patients with coronary artery disease and left ventricular dysfunction: a meta-analysis. J Am Coll Cardiol. 2002, 39: 1151-1158. 10.1016/S0735-1097(02)01726-6.PubMedGoogle Scholar
- Wu E, Judd RM, Vargas JD, Klocke FJ, Bonow RO, Kin RJ: Visualisation of presence, location and transmural extent of healed Q-wave and non-Q-wave myocardial infarction. Lancet. 2001, 357: 21-28. 10.1016/S0140-6736(00)03567-4.PubMedGoogle Scholar
- Kim RJ, Wu E, Rafael A, Chen EL, Parker MA, Simonetti O, Klocke FJ, Bonow RO, Judd RM: The use of contrast-enhanced magnetic resonance imaging to identify reversible myocardial dysfunction. N Engl J Med. 2000, 343: 1445-1453. 10.1056/NEJM200011163432003.PubMedGoogle Scholar
- Bellenger NG, Yousef Z, Kajappan K, Marber MS, Pennell DJ: Infarct viability influences ventricular remodelling after late recanalisation of an occluded infarct related artery. Heart. 2005, 91: 478-483. 10.1136/hrt.2004.034918.PubMed CentralPubMedGoogle Scholar
- Meluzin J, Cerny J, Frelich M, Stetka F, Spiranova F, Popelova J, Stipal R: Prognostic value of the amount of dysfunctional but viable myocardium in revascularized patients with coronary artery disease and left ventricular dysfunction. J Am Col Cardiol. 1998, 32: 912-920. 10.1016/S0735-1097(98)00324-6.Google Scholar
- Lee KS, Marwick TH, Cook SA, Go RT, Fix JS, James KB, Sapp SK, McIntyre WJ, Thomas JD: Prognosis of patients with left ventricular dysfunction, with and without viable myocardium after myocardial infarction. Relative efficacy of medical therapy and revascularization. Circulation. 1994, 90: 2687-2694.PubMedGoogle Scholar
- Bello D, Shah DJ, Farah GM, Di Luzio S, Parker MA, Johnson M, Cotts WG, Klocke FJ, Bonow RO, Judd RM, et al: Gadolinium cardiovascular magnetic resonance predicts myocardial dysfunction and remodelling in patients with heart failure undergoing beta-blocker therapy. Circulation. 2003, 108: 1945-1953. 10.1161/01.CIR.0000095029.57483.60.PubMedGoogle Scholar
- McCrohon JA, Moon JJC, Prasad SK, McKenna WJ, Lorenz CH, Coats AJS, Pennell DJ: Differentiation of heart failure related to dilated cardiomyopathy and coronary artery disease using gadolinium-enhanced cardiovascular magnetic resonance. Circulation. 2003, 108: 54-59. 10.1161/01.CIR.0000078641.19365.4C.PubMedGoogle Scholar
- Assomull RG, Prasad SK, Lyne J, Smith G, Burman ED, Khan M, Sheppard MN, Poole-Wilson PA, Pennell DJ: Cardiovascular magnetic resonance, fibrosis, and prognosis in dilated cardiomyopathy. J Am Coll Cardiol. 2006, 48 (10): 1977-1985. 10.1016/j.jacc.2006.07.049.PubMedGoogle Scholar
- 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 (10): 1953-1960. 10.1016/j.jacc.2006.07.046.PubMedGoogle Scholar
- Chalil S, Foley P, Muyhaldeen S, Patel K, Yousef Z, Smith R, Frenneaux M, 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. 10.1093/europace/eum133.PubMedGoogle Scholar
- Adelstein EC, Saba S: Scar burden by myocardial perfusion imaging predicts echocardiographic response to cardiac resynchronization therapy in ischemic cardiomyopathy. Am Heart J. 2007, 153 (1): 105-112. 10.1016/j.ahj.2006.10.015.PubMedGoogle Scholar
- Schwartzman D, Chang I, Michele JJ, Moritznik MS, Foster KR: Electrical impedance properties of normal and chronically infarcted ventricular myocardium. J Interv Card Electrophysiol. 1999, 3: 213-224. 10.1023/A:1009887306055.PubMedGoogle Scholar
- Reddy VY, Wrobleski D, Houghtaling C, Josephson ME, Ruskin JN: Combined Epicardial and Endocardial Electroanatomic Mapping in a Porcine Model of Healed Myocardial Infarction. Circulation. 2003, 107 (25): 3236-3242. 10.1161/01.CIR.0000074280.62478.E1.PubMedGoogle Scholar
- Tedrow U, Maisel W, Epstein L, Soejima K, Stevenson W: Feasibility of adjusting paced left ventricular activation by manipulating stimulus strength. J Am Coll Cardiol. 2004, 44: 2249-2251. 10.1016/j.jacc.2004.09.008.PubMedGoogle Scholar
- Breithardt OA, Stellbrink C, Kramer AP, Sinha AM, Franke A, Salo R, Schiffgens B, Huvelle E, Auricchio A, PATH-CHF Study Group: Echocardiographic quantification of left ventricular asynchrony predicts an acute hemodynamic benefit of cardiac resynchronization therapy. J Am Coll Cardiol. 2002, 40 (3): 536-545. 10.1016/S0735-1097(02)01987-3.PubMedGoogle Scholar
- Chalil S, Stegemann B, Muhyaldeen S, Khadjooi S, Foley P, Smith R, Leyva F: Effect of posterolateral left ventricular scar on mortality and morbidity following cardiac resynchronization therapy. Pacing Clin Electrophysiol. 2007, 10: 1201-1207. 10.1111/j.1540-8159.2007.00841.x.Google Scholar
- Moyé L: Statistical reasoning in medicine. 2006, New York, NY: SpringerGoogle Scholar
- Aaronson KD, Schwartz JS, Chen TM, Wong KL, Goin JE, Mancini DM: Development and prospective validation of a clinical index to predict survival in ambulatory patients referred for cardiac transplant evaluation. Circulation. 1997, 95 (12): 2660-2667.PubMedGoogle Scholar
- Lee DS, Austin PC, Rouleau JL, Liu PP, Naimark D, Tu JV: Predicting mortality among patients hospitalized for heart failure: derivation and validation of a clinical model. JAMA. 2003, 290 (19): 2581-2587. 10.1001/jama.290.19.2581.PubMedGoogle Scholar
- Anker S, Doehner W, Rauchhaus M, Sharma R, Francis D, Knosalla C, Davos C, Cicoira M, Shamim W, Kemp M, et al: Uric acid and survival in chronic heart failure: validation and application in metabolic, functional, and hemodynamic staging. Circulation. 2003, 107 (15): 1991-1997. 10.1161/01.CIR.0000065637.10517.A0.PubMedGoogle Scholar
- Leyva F, Foley PW, Stegemann B, Ward JA, Ng LL, Frenneaux MP, Regoli F, Smith RE, Auricchio A: Development and validation of a clinical index to predict survival after cardiac resynchronisation therapy. Heart. 2009, 95 (19): 1619-1625. 10.1136/hrt.2009.173880.PubMed CentralPubMedGoogle Scholar
- Dries DL, Exner DV, Domanski MJ, Greenberg B, Stevenson LW: The prognostic implications of renal insufficiency in asymptomatic and symptomatic patients with left ventricular systolic dysfunction. J Am Coll Cardiol. 2000, 35 (3): 681-689. 10.1016/S0735-1097(99)00608-7.PubMedGoogle Scholar
- Smilde TD, Hillege HL, Navis G, Boomsma F, de Zeeuw D, van Veldhuisen DJ: Impaired renal function in patients with ischemic and nonischemic chronic heart failure: association with neurohormonal activation and survival. Am Heart J. 2004, 148 (1): 165-172. 10.1016/j.ahj.2004.02.007.PubMedGoogle Scholar
- Hillege HL, Girbes AR, de Kam PJ, Boomsma F, de Zeeuw D, Charlesworth A, Hampton JR, van Veldhuisen DJ: Renal function, neurohormonal activation, and survival in patients with chronic heart failure. Circulation. 2000, 102 (2): 203-210.PubMedGoogle Scholar
- Levy WC, Mozaffarian D, Linker DT, Sutradhar SC, Anker SD, Cropp AB, Anand I, Maggioni A, Burton P, Sullivan MD, et al: The Seattle Heart Failure Model: prediction of survival in heart failure. Circulation. 2006, 113 (11): 1424-1433. 10.1161/CIRCULATIONAHA.105.584102.PubMedGoogle Scholar
- Patel K, Leyva F, Frenneaux M: Heart failure is not a diagnosis. Int J Clin Pract. 2008, 62: 526-528. 10.1111/j.1742-1241.2008.01720.x.PubMedGoogle Scholar
- Wikstrom G, Blomstrom-Lundqvist C, Andren B, Lonnerholm S, Blomstrom P, Freemantle N, Remp T, Cleland JG: The effects of aetiology on outcome in patients treated with cardiac resynchronization therapy in the CARE-HF trial. Eur Heart J. 2009, 30 (7): 782-788. 10.1093/eurheartj/ehn577.PubMed CentralPubMedGoogle Scholar
- Alpert JS, Thygesen K, Antman E, Bassand JP: Myocardial infarction redefined--a consensus document of The Joint European Society of Cardiology/American College of Cardiology Committee for the redefinition of myocardial infarction. J Am Coll Cardiol. 2000, 36: 959-969. 10.1016/S0735-1097(00)00804-4.PubMedGoogle Scholar
- Kannel WB: Silent myocardial ischemia and infarction: insights from the Framingham Study. Cardiology clinics. 1986, 4 (4): 583-591.PubMedGoogle Scholar
- McKenna WJ, Chew CY, Oakley CM: Myocardial infarction with normal coronary angiogram. Possible mechanism of smoking risk in coronary artery disease. Br Heart J. 1980, 43 (5): 493-498. 10.1136/hrt.43.5.493.PubMed CentralPubMedGoogle Scholar
- Assomull RG, Lyne JC, Keenan N, Gulati A, Bunce NH, Davies SW, Pennell DJ, Prasad SK: The role of cardiovascular magnetic resonance in patients presenting with chest pain, raised troponin, and unobstructed coronary arteries. Eur Heart J. 2007, 28 (10): 1242-1249. 10.1093/eurheartj/ehm113.PubMedGoogle Scholar
- Duncan AM, Francis DP, Gibson DG, Henein MY: Differentiation of ischemic from nonischemic cardiomyopathy during dobutamine stress by left ventricular long-axis function: additional effect of left bundle-branch block. Circulation. 2003, 108 (10): 1214-1220. 10.1161/01.CIR.0000087401.19332.B7.PubMedGoogle Scholar
- Kim RJ, Fieno DS, Parrish TB, Harris K, Chen EL, Simonetti O, Bundy J, Finn JP, Klocke FJ, Judd RM: Relationship of MRI delayed contrast enhancement to irreversible injury, infarct age, and contractile function. Circulation. 1999, 100 (19): 1992-2002.PubMedGoogle Scholar
- Carlsson M, Arheden H, Higgins CB, Saeed M: Magnetic resonance imaging as a potential gold standard for infarct quantification. Journal of electrocardiology. 2008, 41 (6): 614-620. 10.1016/j.jelectrocard.2008.06.010.PubMedGoogle Scholar
- Germans T, van Rossum AC: The use of cardiac magnetic resonance imaging to determine the aetiology of left ventricular disease and cardiomyopathy. Heart. 2008, 94 (4): 510-518. 10.1136/hrt.2007.122770.PubMedGoogle Scholar
- Modell B, Khan M, Darlison M, Westwood MA, Ingram D, Pennell DJ: Improved survival of thalassaemia major in the UK and relation to T2* cardiovascular magnetic resonance. J Cardiovasc Magn Reson. 2008, 10: 42-10.1186/1532-429X-10-42.PubMed CentralPubMedGoogle Scholar
- Giri S, Chung YC, Merchant A, Mihai G, Rajagopalan S, Raman SV, Simonetti OP: T2 quantification for improved detection of myocardial edema. J Cardiovasc Magn Reson. 2009, 11: 56-10.1186/1532-429X-11-56.PubMed CentralPubMedGoogle Scholar
- Raman SV, Simonetti OP, Winner MW, Dickerson JA, He X, Mazzaferri EL, Ambrosio G: Cardiac magnetic resonance with edema imaging identifies myocardium at risk and predicts worse outcome in patients with non-ST-segment elevation acute coronary syndrome. J Am Coll Cardiol. 55 (22): 2480-2488. 10.1016/j.jacc.2010.01.047.Google Scholar
- Levine GN, Gomes AS, Arai AE, Bluemke DA, Flamm SD, Kanal E, Manning WJ, Martin ET, Smith JM, Wilke N, et al: Safety of Magnetic Resonance Imaging in Patients With Cardiovascular Devices: An American Heart Association Scientific Statement From the Committee on Diagnostic and Interventional Cardiac Catheterization, Council on Clinical Cardiology, and the Council on Cardiovascular Radiology and Intervention: Endorsed by the American College of Cardiology Foundation, the North American Society for Cardiac Imaging, and the Society for Cardiovascular Magnetic Resonance. Circulation. 2007, 116 (24): 2878-2891. 10.1161/CIRCULATIONAHA.107.187256.PubMedGoogle Scholar
- Achenbach S, Moshage W, Diem B, Bieberle T, Schibgilla V, Bachmann K: Effects of magnetic resonance imaging on cardiac pacemakers and electrodes. Am Heart J. 1997, 134 (3): 467-473. 10.1016/S0002-8703(97)70083-8.PubMedGoogle Scholar
- Hayes DL, Holmes DR, Gray JE: Effect of 1.5 tesla nuclear magnetic resonance imaging scanner on implanted permanent pacemakers. J Am Coll Cardiol. 1987, 10 (4): 782-786. 10.1016/S0735-1097(87)80270-X.PubMedGoogle Scholar
- Pennell D: Cardiac magnetic resonance with a pacemaker in-situ: can it be done?. J Cardiovasc Magn Reson. 1999, 1: 72-Google Scholar
- Martin ET, Coman JA, Shellock FG, Pulling CC, Fair R, Jenkins K: Magnetic resonance imaging and cardiac pacemaker safety at 1.5-Tesla. J Am Coll Cardiol. 2004, 43 (7): 1315-1324. 10.1016/j.jacc.2003.12.016.PubMedGoogle Scholar
- Schwartzman D, Schelbert E, Adelstein E, Gorcsan J, Soman P, Saba S: Image-guided cardiac resynchronization. Europace. 12 (6): 877-880. 10.1093/europace/euq103.Google Scholar
- Chiribiri A, Kelle S, Gotze S, Kriatselis C, Thouet T, Tangcharoen T, Paetsch I, Schnackenburg B, Fleck E, Nagel E: Visualization of the cardiac venous system using cardiac magnetic resonance. Am J Cardiol. 2008, 101 (3): 407-412. 10.1016/j.amjcard.2007.08.049.PubMedGoogle Scholar
- Zwanenburg JJM, Gotte MJW, Kuijer JPA, Heethaar RM, van Rossum AC, Marcus JT: Timing of cardiac contraction in humans mapped by high-temporal-resolution MRI tagging: early onset and late peak of shortening in lateral wall. Am J Physiol Heart Circ Physiol. 2004, 286 (5): H1872-1880. 10.1152/ajpheart.01047.2003.PubMedGoogle Scholar
- Dickstein K, Vardas PE, Auricchio A, Daubert JC, Linde C, McMurray J, Ponikowski P, Priori SG, Sutton R, van Veldhuisen DJ, et al: 2010 Focused Update of ESC guidelines on device therapy in heart failure: An update of the 2008 ESC guidelines for the diagnosis and treatment of acute and chronic heart failure and the 2007 ESC guidelines for cardiac and resynchronization therapy Developed with the special contribution of the Heart Failure Association and the European Heart Rhythm Association. Eur Heart J.Google Scholar
- Epstein AE, DiMarco JP, Ellenbogen KA, Estes NA, Freedman RA, Gettes LS, Gillinov AM, Gregoratos G, Hammill SC, Hayes DL, et al: ACC/AHA/HRS 2008 Guidelines for Device-Based Therapy of Cardiac Rhythm Abnormalities: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (Writing Committee to Revise the ACC/AHA/NASPE 2002 Guideline Update for Implantation of Cardiac Pacemakers and Antiarrhythmia Devices) developed in collaboration with the American Association for Thoracic Surgery and Society of Thoracic Surgeons. J Am Coll Cardiol. 2008, 51 (21): e1-62. 10.1016/j.jacc.2008.02.032.PubMedGoogle Scholar
- Auricchio A, Abraham WT: Cardiac resynchronization therapy: Current state of the art: Cost versus benefit. Circulation. 2004, 109 (3): 300-307. 10.1161/01.CIR.0000115583.20268.E1.PubMedGoogle Scholar
- Lardo AC, Abraham TP, Kass DA: Magnetic Resonance Imaging Assessment of Ventricular Dyssynchrony: Current and Emerging Concepts. J Am Coll Cardiol. 2005, 46 (12): 2223-2228. 10.1016/j.jacc.2005.09.015.PubMedGoogle Scholar
- Leyva F, Foley PWX, Stegemann B, Ward JA, Ng LL, Frenneaux MP, Regoli F, Smith REA, Auricchio A: Development and validation of a clinical index to predict survival after cardiac resynchronisation therapy. Heart. 2009, 95 (19): 1619-1625. 10.1136/hrt.2009.173880.PubMed CentralPubMedGoogle Scholar
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