Donate Help Contact The AHA Sign In Home
American Heart Association
Circulation: Cardiovascular Imaging
Search: search_blue_button Advanced Search
Circulation: Cardiovascular Imaging. 2008;1:58-69
doi: 10.1161/CIRCIMAGING.108.792408
Free Article
This Article
Free upon publication Free Article
Right arrow Extract
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrowRequest Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Marwick, T. H.
Right arrow Articles by Schwaiger, M.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Marwick, T. H.
Right arrow Articles by Schwaiger, M.
Related Collections
Right arrow Echocardiography

Advances in Cardiovascular Imaging

The Future of Cardiovascular Imaging in the Diagnosis and Management of Heart Failure, Part 1

Tasks and Tools

Thomas H. Marwick, MD, PhD and Markus Schwaiger, MD, PhD

From the University of Queensland (T.H.M.), Brisbane, Australia, and Technische Universität of Munich (M.S.), Munich, Germany.

Correspondence to Professor T. Marwick, University of Queensland School of Medicine, Princess Alexandra Hospital, Brisbane, Qld 4102, Australia. E-mail t.marwick{at}uq.edu.au

Key Words: electrocardiography • heart failure • imaging


    Introduction
 Top
 Introduction
 Functional Measurements: The...
 Novel Structural Measurements in...
 Conclusions
 References
 
Radiographic, ultrasound, nuclear, and magnetic resonance methods have become indispensable in the management of heart failure (HF). Imaging is widely used in decision making in HF, not only in relation to left ventricular (LV) systolic and diastolic function but also in the selection of medical, device, and surgical therapy in HF and valvular heart disease. Future developments in the care of advanced heart disease, including stem cell therapy, device therapy to control remodeling, and percutaneous valve interventions, as well as the need to identify subclinical heart disease, are likely to expand this use. Moreover, the epidemic of diabesity (diabetes and obesity) will augment the existing epidemic of HF just when it appeared to have peaked.1 Large numbers of patients will need information from imaging to guide clinical decision making (Table 1). The sources of this information will need to be expeditious, inexpensive, and preferably objective and quantitative.2


View this table:
[in this window]
[in a new window]

 
Table 1. Established HF: What the Clinician Needs
 

    Functional Measurements: The Cornerstone of HF Management
 Top
 Introduction
 Functional Measurements: The...
 Novel Structural Measurements in...
 Conclusions
 References
 
Although some of the measurements in HF patients are structural (LV mass and geometry), the main components of an imaging assessment in HF will continue to be primarily functional (LV ejection fraction, size, filling pressures, filling characteristics, and right ventricular [RV] function). A number of new technologies will enhance the future accuracy and reliability of these measures.

LV Volumes and Ejection Fraction
Routine techniques (contrast ventriculography, 2D echocardiography) provide real-time imaging in standard imaging planes. The only traditional method that has escaped this limitation has been radionuclide ventriculography, in which the ejection fraction is calculated from scintigraphic counts, but this introduces the separate potential problems of attenuation and overlying chambers.

Limitations of 2D Imaging
Two-dimensional imaging approaches require expert acquisition and observers and have limited reliability in obtaining appropriate cut planes in sequential studies. The limitation of requiring imaging planes in the correct axis is particularly an issue for 2D echocardiography, which may be constrained by limited imaging windows; in the pursuit of optimization of the resolution of structures, images are often obtained off-axis (Figure 1). Portrayal of a 3D object in 2 dimensions has adverse consequences with regard to the reproducibility of LV measurements. The increasing sophistication of medical treatments for LV dysfunction has created the need for accurate and reproducible measurements of chamber dimensions. Variations of imaging planes especially may pose a problem for long-term follow-up of LV volume, mass, and ejection fraction, and the evolution of these measurements may have important treatment implications.


Figure 1792408
View larger version (99K):
[in this window]
[in a new window]
[Download PPT slide]
 
Figure 1. Limitations of 2D imaging for measurements of LV size. Top row illustrates 4-chamber views; the green line marks the plane of this view on the matching short-axis view on the bottom row. The view with optimal rotation (B) differs from off-axis cuts A and C by rotations of 10° to 20°; all would be considered acceptable acquisitions, but the difference between them could pose problems for sequential measurements.

 
Future Role of 3D Imaging
Because of these limitations of 2D imaging, 3D imaging (obtainable with 3D echocardiography [3DE], cardiac magnetic resonance [CMR], single photon emission CT [SPECT], and cardiac CT) is likely to become increasingly important in the provision of accurate measurement of global LV size and function in the assessment of HF. Multiple 2D images are used to reconstruct a 3D image with CMR and cardiac CT, but the imaging planes are not constrained by imaging windows. It appears to be predominantly the 3D display that drives the increased reliability of this method,3 rather than the nature of the imaging technique (Figure 2).


Figure 2792408
View larger version (60K):
[in this window]
[in a new window]
[Download PPT slide]
 
Figure 2. Techniques for 3D imaging of LV size and function. A, 3D echocardiography will be gathered in a simultaneous (some manufacturers provide a near-simultaneous) data set. Tracing the ventricular border is required in multiple (8 to 12) image planes (more with a nongeometric LV shape). B, MRI images may be combined into a 3D data set; measurements are usually made in sequential short-axis slices, but attention must be paid to the location of the mitral annulus in systole and diastole.

 
The establishment of 3D imaging as the standard imaging approach of the future will require further evolution in image acquisition, processing, and display. Although CMR images offer a clear distinction between blood and myocardium, this process may be difficult with 3DE. Nonetheless, in the 60% to 70% of patients with adequate images, a number of trials, including a recent multicenter study,4 have confirmed the accuracy of 3DE relative to CMR. When image quality poses a problem for echocardiography, echocardiographic contrast agents improve endocardial detection. The accuracy of 2D echocardiography is increased with contrast,5,6 and it appears likely that 3DE with contrast (perhaps using a highly stable microbubble) will be the optimal approach. A secondary goal of the move to 3D imaging will be to provide rapid acquisition of 3D data sets, even obtained remotely, with most of the processing being performed offline.

LV Filling Profiles
The LV filling profile has an established role as a prognostic component of the imaging report of the HF patient.7 LV filling can be measured by most imaging modalities, but 2 attributes are important: frame rate of the acquisition (which allows accurate assessment of isovolumic and deceleration time) and the ability to distinguish normal from pseudonormal filling patterns. Echocardiography is the best established technique for this evaluation, and its role has been strengthened by the echocardiographic estimation of filling pressure.8 This is derived from the ratio of passive filling and myocardial velocities (E/E'; Figure 3) and is likely to assume increasing importance in relation to new diagnostic criteria9 and application to patient care management.


Figure 3792408
View larger version (44K):
[in this window]
[in a new window]
[Download PPT slide]
 
Figure 3. Assessment of LV filling pressure. Measurements are made from pulsed-wave Doppler of transmitral flow (peak diastolic E velocity) and annular tissue Doppler (peak E'or Ea velocity). The resulting E/E' has been shown to correspond to pre-A pressure. Reprinted with permission from Circulation (Nagueh SF. Circulation. 1999;99:254–261. Copyright 1999 American Heart Association). Decel indicates deceleration; E vel, E-wave velocity; Em vel, early diastolic myocardial velocity; and LVEDP, LV end-diastolic pressure.

 
LV Morphology
The morphology of the LV, including its mass and shape, is an important component of the imaging evaluation of the failing heart, especially in the context of hypertension and hypertrophic cardiomyopathy. Mass is most accurately measured by CMR10 and 3DE,11 which should supersede M-mode echocardiography.

LV shape is a marker of the severity of HF and predicts outcome. This is most simply measured as the sphericity index (ratio of the maximum long- and short-axis dimensions), although this may be limited by regional problems, and a more global (perhaps 3D) measurement may be more useful.12 Both 3DE and CMR have been used in planning LV reconstruction13,14; more sophisticated measurements of curvature may become important for this purpose.

The shape of the heart in LV hypertrophy may also be important. Small hearts have low transmural stress. Current techniques assume wall stress is uniform for the entire LV; it is hoped that the availability of 3D measurements of curvature will enable regional assessment of wall stress in the future.

Mitral Regurgitation
Mitral regurgitation (MR) is associated with outcome in HF.15 Functional MR is common, especially in ischemic cardiomyopathy, accounting for 50% of postinfarction patients with HF, and ischemic MR increases mortality even when MR is mild.16 New surgical and percutaneous devices, as well as an extension of the indications for cardiac resynchronization to the control of LV remodeling and functional MR, are likely to increase the importance of MR evaluation in the future.

The evaluation of MR in the failing heart should include an assessment of severity and characterization of the mechanism. Functional MR severity may be difficult to assess because it may change during systole and because of the variability and complexity of jet morphology. Typically, the severity of MR is greatest in early systole and is reduced as the LV volume decreases and the mitral leaflets are pushed back into the annular plane.17 The largest jet size, or even the vena contracta dimension, may be misleading as a marker of MR severity, and volumetric methods may have some attraction for the calculation of regurgitant volume to avoid errors due to inhomogeneity of MR.

Understanding the mechanism of MR involves a consideration of both LV and mitral morphology. The major categories relate to disturbances in the inferoposterior wall (usually from infarction), LV enlargement, and dyssynchrony. The former results in displacement of the posterior papillary muscle, with tethering of the posterior leaflet, and posteriorly directed MR, whereas the second involves displacement of both papillary muscles due to LV remodeling, which leads to failure of coaptation of the mitral leaflets and a central MR jet (Figure 4). Mitral valve procedures may not be a good solution to what is a ventricular problem, and advances in this area are likely to address specific mechanisms of the process.


Figure 4792408
View larger version (29K):
[in this window]
[in a new window]
[Download PPT slide]
 
Figure 4. Characterization of MR mechanism. The first patient (4A) has predominantly posterior wall-motion abnormalities, restriction of the posterior mitral leaflet, and an anterior jet. The second patient (4B) has LV enlargement with diffuse wall-motion abnormalities (the posterior is best preserved), with restriction of both mitral leaflets and a central jet. Future LV interventions for these problems are likely to be quite different.

 
RV Function
RV function is an important correlate of survival in HF. The nongeometric nature of the RV has made the size and function of this chamber difficult to characterize by conventional methods. Nongeometric techniques, such as tissue Doppler, are the simplest approach.18 CMR avoids the dependence of standard echocardiography on standard imaging windows; RV evaluation with this technique has been shown to correlate with outcomes.19 Methods that allow the chamber to be portrayed in 3D (3DE, CMR) may circumvent the lack of a geometric shape and appear likely to be the future techniques of choice (Figure 5).


Figure 5792408
View larger version (62K):
[in this window]
[in a new window]
[Download PPT slide]
 
Figure 5. Assessment of RV volumes and ejection fraction with 3DE and CMR. Because the RV is such a nongeometric structure, it appears that 3D approaches will be the optimal measurement strategy.

 
Echocardiographic assessment of pulmonary artery systolic pressure is dependent on the estimation of right atrial pressure and the detection of a tricuspid regurgitant jet; the use of contrast often facilitates the detection of this signal even when it is difficult to identify on color Doppler. Pulmonary vascular resistance20 should be estimated, especially if RV stroke volume is reduced (Figure 6).


Figure 6792408
View larger version (79K):
[in this window]
[in a new window]
[Download PPT slide]
 
Figure 6. Estimation of pulmonary vascular resistance (PVR) from tricuspid regurgitation (VTR) and RV outflow tract spectral Doppler (VTIRVOT). Location of the RV outflow tract sample is critical.

 
Which Test?
The foregoing discussion would suggest that no single imaging test is clearly superior to all others for the basic evaluation of the failing LV. Current guidelines21 propose echocardiography as the initial test, and it is difficult to see how this is likely to change given the attractions of an inexpensive and widely available technique for a very common condition. The incorporation of echocardiographic contrast agents is important if images are suboptimal, and 3D techniques are likely to become routine for volume measurements. CMR and cardiac CT provide well-validated 3D information on cardiac morphology and function and may combine functional data with tissue characterization and eventually noninvasive coronary angiography. Future clinical research must address the cost-benefit ratio of truly tomographic functional imaging compared with standard 2D echocardiography.


    Novel Structural Measurements in the Diagnosis and Management of HF
 Top
 Introduction
 Functional Measurements: The...
 Novel Structural Measurements in...
 Conclusions
 References
 
Although major changes in the management of HF have occurred over the last 2 decades, it remains a malignant disease. Patients often present with extensive ventricular damage, and the solution may be to recognize and treat LV dysfunction at an earlier stage21 (Table 2). The use of accurate imaging techniques will be essential for the identification of subclinical disease.


View this table:
[in this window]
[in a new window]

 
Table 2. Stages in the Development of HF
 
Myocardial Properties
Imaging already plays a central role in the distinction of systolic and diastolic HF. Although much work has focused on the myocardial responses to HF, myocytes account for only one third of myocardial cells.22 Less attention has been paid to interstitial disease, but both myocyte and collagen compartments participate in the process of ischemic cardiomyopathy23 and very likely other cardiomyopathies. In the future, myocardial characterization will enable a more sophisticated distinction of these entities, play a role in HF diagnosis (and possibly its classification), and perhaps guide therapy.

Changes in the interstitium relate mainly to fibrosis. There is a major increment of interstitial and perivascular fibrous tissue in pathological hypertrophy. Fibrosis may be either reparative (a regional process that reflects healing and/or replacement by scar) or reactive (a diffuse process). In addition to an increment of the amount of this tissue, its nature is also abnormal, as evidenced by an increase in type 1 collagen. The consequences of this fibrosis include abnormal coronary flow reserve, probably related to perivascular fibrosis, as well as HF and arrhythmias. Myocardial fibrosis is believed to play a significant role in the abnormal diastolic function present in hypertension, diabetes, and the elderly and will likely become a specific target for medical therapy.

CMR Methods
After myocardial infarction, gadolinium late-enhancement CMR images identify regional fibrosis24 and infarct size and predict functional recovery. The detection of localized fibrosis is ideal for recognition by gadolinium enhancement, based on the relative comparison between the region and a reference normal segment, but the test is ineffective for identifying diffuse fibrosis. However, there is twice as much diffuse as there is regional fibrosis in ischemic cardiomyopathy,23 and this is difficult to appreciate from relative gadolinium uptake. This phenomenon may be more marked in dilated cardiomyopathy, in which midwall fibrosis is detected in {approx}30% of patients,25 despite the fact that probably 75% have evidence of fibrosis.

Other CMR methods may be useful in the detection of fibrosis. The T1 time is shortened by fibrosis, and T1 mapping is a potentially quantifiable marker of the extent and severity of fibrosis when validated against biopsy samples26 and applied in clinical settings associated with nonischemic fibrosis.27 Differences in transverse relaxation times of hydrogen protons (T2*) reveal differences in tissue water content, which may be attributable to fibrosis.28

Ultrasonic Integrated Backscatter
Ultrasound techniques have traditionally been the test of choice for myocardial tissue characterization. In addition to reflection of ultrasound to the transducer by acoustic interfaces, some reflection derives from the tissue. The acoustic density of this tissue determines the degree of reflection, which may be measured by calibrated integrated backscatter, describing myocardial acoustic density, which is increased by fibrosis (Figure 7). Integrated backscatter is abnormal in a variety of hypertrophic and endocrine conditions. However, the technique is subject to signal noise and may never become part of the standard imaging repertoire.


Figure 7792408
View larger version (83K):
[in this window]
[in a new window]
[Download PPT slide]
 
Figure 7. Measurement of integrated backscatter (IB) from an image in raw data format. Cyclic variation (CV) of IB (top) may be assessed in any segment but is subject to anisotropy. Calibrated IB (bottom), which compares reflectivity relative to a fixed reference such as pericardium or blood pool, is a potential marker of fibrosis.

 
Nuclear Cardiology Techniques
Scintigraphic methods have limited potential for characterizing myocardial fibrosis. The perfusable tissue index is obtainable with positron emission tomography (PET) imaging of H215O and C15O, which allows measurement of the perfusable tissue fraction. The perfusable tissue index is reduced in patients with dilated cardiomyopathy.29 Unfortunately, in addition to the cost and limited availability of PET, these techniques are technically challenging and are unlikely to be adopted for routine clinical use.

Myocardial Performance
Ejection fraction is load dependent and insensitive to subtle disturbances of myocardial performance. Radial thickening can be measured by techniques with good spatial and contrast resolution, such as CMR; however, because of the fiber architecture of the heart and the preferential involvement of different components of the heart (eg, endocardium) in some pathologies, reduction in thickening may be nonuniform. Techniques that examine deformation in multiple axes (especially the long axis) might be expected to be more sensitive than simply wall thickening.

Tagged CMR or echocardiography may be used to measure motion as velocity (which may be influenced by translation and tethering and is therefore not site-specific), strain (an index of deformation), or strain rate. Tissue Doppler-based measurements derive strain rate from color Doppler velocity, with high temporal resolution but potential limitations caused by signal noise. 2D strain (2DS) is based on speckle tracking at frame rates of 40 to 80 frames per second (Figure 8). The optimal technique varies according to the circumstances; high frame rates (eg, tissue-velocity imaging) are more important for measuring timing (eg, postsystolic thickening) and strain rate and at high heart rates. Lower frame rates (eg, 2DS, MR tagging) may be better at rest and in remodeled hearts, in which the orientation of the wall and imaging axis may be altered along the length of the wall (Figure 9).


Figure 8792408
View larger version (48K):
[in this window]
[in a new window]
[Download PPT slide]
 
Figure 8. Correlations of tissue-velocity imaging (top) and 2D strain (bottom) in patients with apical hypokinesia. A, Good correlation between strain traces. B, Poor correlation between strain traces, with tissue-velocity imaging strains lower than 2D strain in the inferior wall, which reflects the influence of angle dependency. AVC indicates aortic valve closure; solid line, apical wall; bold dashed line, mid wall; and dashed line, basal wall.

 

Figure 9792408
View larger version (54K):
[in this window]
[in a new window]
[Download PPT slide]
 
Figure 9. Techniques for strain measurement. 2D strain may be measured noninvasively with tagged MRI (A), but the most widely used quantitative package has been validated only for short-axis images. Tissue-velocity strain (TVI; B) has the benefit of high temporal resolution but is angle dependent, may be limited by signal noise, and is difficult to perform in the short axis, especially if the LV wall is thinned. Various iterations of 2D strain are available (C, D); these methods are simpler to use than the alternatives and independent of angle, but they are dependent on good image quality and have lower temporal resolution than TVI.

 
Table 3 summarizes the reliability of these myocardial parameters in our laboratory. Systolic and diastolic tissue Doppler measurements are the most robust.


View this table:
[in this window]
[in a new window]

 
Table 3. Reliability of Echocardiographic Measures for Tissue Characterization
 
Contractile Reserve
In preclinical disease, systolic dysfunction is more likely to become apparent under stress than at rest. 3D delineation of functional data may make CMR and 3DE the optimal tests to quantify contractile reserve. The evaluation of regional function at rest and during stress can be used to identify ischemic and nonischemic cardiomyopathy.

In established HF, contractile reserve, measured invasively (eg, dP/dt) or noninvasively (eg, ejection fraction or cardiac output response) is related to outcome.30 Contractile reserve also mirrors sympathetic dysfunction,31 which makes this an inexpensive surrogate for tests of sympathetic status. In the future, this information may be used in tailoring HF therapy to the status of individual patients.

The response of E/E' to stress may also be useful in the attribution of exertional dyspnea to diastolic HF.32 Conversely, the absence of raised filling pressure with exercise makes it difficult to attribute exertional dyspnea to diastolic HF. In the future, this observation may help the movement away from the diagnosis of exclusion ("HF with normal ejection fraction") to a positive diagnosis of diastolic HF.

Coronary Perfusion and Vascular Imaging
Systolic dysfunction caused by ischemic heart disease is the commonest cause of HF in the developed world.33 Rest and stress myocardial perfusion imaging can identify a subgroup of patients with HF who have potentially reversible dysfunction and are likely to benefit from revascularization.34 In LV dysfunction, a normal stress perfusion scan has high negative predictive value, but fixed and reversible perfusion defects are not specific for coronary artery disease, with fibrosis and reduced coronary reserve in nonischemic HF causing a limited specificity (40% to 80%) for SPECT and PET in HF.35

The future diagnostic workup of HF patients will most likely include vascular imaging with cardiac CT or CMR to directly assess the anatomy of epicardial coronary vessels (Figure 10). The high negative predictive value of CTA may obviate the need for invasive coronary angiography.36


Figure 10792408
View larger version (46K):
[in this window]
[in a new window]
[Download PPT slide]
 
Figure 10. Result page of a quantitative PET/CT flow study with 13N ammonia under rest and pharmaceutical stress conditions. In this patient with previous stenting of the right coronary artery (RCA), CT angiography did not reveal any stenosis; however, polar maps of myocardial blood flow (MBF) indicate a stress-induced reduction of coronary flow reserve (CFR) in the territory most likely supplied by the RCA.

 
Metabolism (PET/MR Spectroscopy)
HF is associated with abnormal myocardial metabolism, including energy depletion and reduced mechanical efficiency.37 These changes may play a role in the progression of HF and may potentially serve as therapeutic targets.

Fatty acid represents the major source of cardiac substrate metabolism, but its complex metabolism allows only semiquantitative measurements of substrate utilization with PET imaging of carbon 11-labeled palmitate.38 More recently, iodinated fatty acids such as β-methyl-iodophenylpentadecanoic acid (BMIPP) have provided a sensitive SPECT marker of altered fatty acid transport into the myocyte. Metabolic imaging may gain clinical acceptance if clinical trials confirm that a metabolic switch from fatty acids to glucose utilization in the failing myocardium improves outcomes of patients with HF.

PET imaging of 11C-labeled acetate allows assessment of cardiac oxidative metabolism without the complexity of substrate interaction between glucose and fatty acids.39 The early rapid clearance of acetate correlates closely with myocardial oxygen consumption, and the relationship of myocardial 11C-labeled acetate kinetics to cardiac work offers a noninvasive parameter for cardiac efficiency that can be used to demonstrate the effect of pharmacological and pacing interventions on cardiac energetics.40,41

Fluorine 18-labled fluorodeoxyglucose (18F-FDG) traces cellular glucose uptake and phosphorylation and can be used to quantify regional glucose metabolism.42 18F-FDG uptake defines tissue viability within malperfused segments in patients with advanced coronary artery disease and impaired LV function.43 Hybrid imaging such as MR/PET and PET/CT combines almost simultaneous anatomic, functional, and metabolic imaging for the improved visualization of cardiac and vascular function and may provide new quantitative tools to study the pathophysiology of HF in vivo (Figure 11).


Figure 11792408
View larger version (35K):
[in this window]
[in a new window]
[Download PPT slide]
 
Figure 11. Fused images of delayed contrast-enhanced MRI and FDG-PET of a patient with previous inferolateral myocardial infarction. The area of delayed contrast enhancement on MRI is closely matched by decreased FDG uptake, consistent with transmural myocardial infarction.

 
Altered energetics play an important role in congestive HF.44 MR spectroscopy is able to measure energy metabolism through analysis of myocardial ATP and phosphocreatine.45 However, 31P-MR spectra may be difficult to quantify, and although the technique has been performed with standard 1.5-T systems, the signal-to-noise ratio is more favorable at high magnetic field strength. Although spectroscopy is likely to shed light on important mechanisms in congestive HF, its clinical adoption seems unlikely at present. Hyperpolarization and chemical shift imaging with 13C-labeled substances such as [13C]pyruvate may enhance the sensitivity of MR measures of cardiac substrate metabolism and may become a useful tool for experimental and clinical research.46

Cardiac Innervation
Disturbances of cardiac innervation have been associated with progression of HF, arrhythmias, and sudden cardiac death.47 Neuronal imaging may provide diagnostic and prognostic markers for the identification of high-risk patients and predict response to pharmacological and electrophysiological interventions. Parasympathetic LV innervation is sparse, which makes visualization of the parasympathetic presynaptic system difficult, whereas imaging of the sympathetic system is feasible and has provided promising results in HF.

Extraneuronal sympathetic neurotransmitter concentrations are regulated by an efficient amine uptake mechanism, the noradrenaline transporter (NAT), which can be used to visualize the sympathetic nerve terminal by radiolabeled norepinephrine analogues. The most commonly used SPECT tracer, metaiodobenzylguanidine (MIBG), undergoes avid uptake and storage in the cardiac nerve terminals but is not metabolized by monoamine oxidase. Uptake of this tracer is specific for the integrity of sympathetic nerve terminals. Cardiac MIBG uptake is measured by defining the heart-to-mediastinum uptake ratio, assessing washout kinetics, or quantifying the apex-base gradient of denervation in the failing heart.48 Iodine 123-labeled MIBG appears to have prognostic value in patients with LV dysfunction,49 and MIBG may be adopted clinically if prospective multicenter studies confirm its incremental prognostic value. Individual risk profiles for HF patients may permit more selective use of costly interventions such cardiac defibrillator implantation.50

The positron tracers [11C]hydroxyephedrine and [11C]epinephrine permit quantification of the density of sympathetic nerve terminals51,52 (Figure 12). [11C]hydroxyephedrine myocardial uptake correlates with norepinephrine tissue concentration and density of NAT. Postsynaptic β-receptor density can be assessed with [11C]CGP12177. The use of radiopharmaceuticals in imaging various aspects of neuronal function (transmitter uptake, release, metabolism, and storage) may permit guidance of pharmacological interventions and their effects on cardiac autonomic innervation.


Figure 12792408
View larger version (38K):
[in this window]
[in a new window]
[Download PPT slide]
 
Figure 12. PET study of myocardial sympathetic innervation with 11C-metahydroxyephedrine (HED) in a patient with idiopathic dilated cardiomyopathy and New York Heart Association class III HF. Perfusion is homogenous, but myocardial HED retention is attenuated in the lateral wall.

 
Molecular Imaging
The understanding of signaling pathways has led to increasing interest in monitoring in vivo cell/cell and protein/protein interactions. Several new imaging strategies visualize molecular targets that represent angiogenetic, apoptotic, cell migration, and inflammatory processes. The laboratory use of molecular imaging has expanded rapidly, but the derived optical signals only penetrate a few centimeters of tissue; contrast agents are required to permit imaging, which introduces toxicity and pharmacological issues. Although the use of genetically altered material in targeted radiolabeled substances faces many regulatory hurdles, there is increasing interest in new imaging probes to improve the diagnosis of disease and to evaluate targeted therapies.

The assessment of apoptosis and the assessment of angiogenesis are the initial molecular imaging tools that may help to characterize patients with HF. Apoptosis is an important mechanism of cardiomyocyte death in human myocardial infarction and HF,53 which can be imaged with labeled annexin A5. This shows selective and high-affinity binding to phospholipid exposed on the surface of apoptotic cells that triggers uptake of remnants by neighboring cells.54 Technetium Tc 99m–labeled annexin A5 demonstrates increased uptake in ischemically injured, reperfused myocardium, in nonischemic HF, and in transplant rejection.55 However, this tracer is not available for clinical use, and the development and validation of specific markers for apoptosis is needed.

Angiogenesis may be beneficial in end-stage coronary artery disease, but it is a complex and highly regulated process, which makes it challenging to develop a single imaging probe. Although both myocardial perfusion and functional recovery are final end points in the clinical evaluation of angiogenetic therapy, specific imaging markers may monitor the effect of new drugs or interventions more directly.56 Potential imaging approaches involve reporter gene imaging of vascular endothelial growth factor expression or tracers that target vascular endothelial growth factor receptors.57 The current myocardial imaging of angiogenesis has been based mainly on tracers or nanoparticles that target {alpha}vβ3, a cell membrane glycoprotein receptor that is an important mediator of angiogenesis and is highly expressed on activated endothelial cells.58,59 The cyclic peptide RGD has been used as ligand for {alpha}vβ3-integrins in combination with fluorescence in SPECT/PET imaging, with nanoparticles for CMR, and with microbubbles for contrast-enhanced ultrasound.60 Initial results in ischemic myocardium show regionally increased RGD signals, which suggests upregulated integrin expression. However, the expression of integrins by cardiomyocytes, fibroblasts, and vascular cells and the potential involvement of integrins in a range of biological processes (hypertrophy, inflammation, wound healing, and scar formation) may limit the specificity of the observed RGD signal for angiogenesis. Further experimental and clinical research will focus on the specificity of the new imaging probes for angiogenesis and the prognostic and therapeutic relevance of molecular imaging signals.

Cell Monitoring
Cell transplantation is a promising future therapeutic option for patients with impaired regional or global function due to cell death.61 Methods to monitor cell migration, homing, survival, and engraftment may facilitate the understanding of heterogeneous results from early clinical investigations of intracoronary injection of bone marrow–derived cells.62 The tasks and strategies for imaging can be divided into 3 categories: short-term cell labeling, cell survival assays, and monitoring of cell differentiation.

Short-term visualization after transplantation may be obtained by direct labeling of stem cells with indium 111-labeled oxine, Tc-99m exametazime (HMPAO), or 18F-FDG, a process achievable without detectable changes in viability, functionality, migration, and proliferative capacity.63 Only a small fraction of radioactivity (<5%) is observed in the myocardium, which suggests regional retention by only a few injured cells. The duration of cell tracking ranges from a few hours with FDG-PET in human infarctions to 7 days after injection with 111In with SPECT/CT in dogs.

Paramagnetic nanoparticles can be used to facilitate nontoxic labeling of stem cells before transplantation, which would enable repeated imaging by MR. The high spatial resolution and direct correlation of cell signals to regional function and late contrast enhancement make this approach very attractive for experimental and clinical research.64 However, the signal is not directly related to cell viability, so it may lose specificity for transplanted cells after cell death and macrophage phagocytosis.

Monitoring of cell survival and differentiation requires imaging techniques linked to the integrity of cells and tissue-specific protein expression (Figure 13). Reporter gene imaging with optical imaging approaches is successful in small animal research, whereas scintigraphic techniques may be applicable to large animals and patients. Most studies label an enzyme or transporter (herpes simplex virus type I thymidine kinase) or the human iodide/symporter.65 The application of these approaches to clinical research will require further documentation of suitability and safety to pass regulatory hurdles.


Figure 13792408
View larger version (51K):
[in this window]
[in a new window]
[Download PPT slide]
 
Figure 13. Dual labeling of endothelial progenitor cells (EPCs) with nuclear reporter probe (human sodium/iodide symporter [hNIS]) and iron oxide particles (Resovist) in a rat model. Labeled cells were injected into LV and imaged at 1, 3, and 7 days. Note the stable MR signal, whereas I-124 uptake in transplanted cells decreased rapidly, most likely due to rapid cell death.).

 

    Conclusions
 Top
 Introduction
 Functional Measurements: The...
 Novel Structural Measurements in...
 Conclusions
 References
 
The rapid advancement of cardiac imaging techniques has provided an increasing range of information that can now be obtained without affecting the imaged function or process. The successful application of these techniques will be determined not only by methodological progress but also by the integration of this information into clinical care. The latter requires not only rigorous clinical validation in prospective trials that adhere to evidence-based medicine criteria but also appropriate training of cardiovascular specialists in the cost-efficient use of imaging technologies. Although the basic characterization of cardiac function in HF patients will be supported primarily by echocardiography, these results will guide the use of other imaging procedures to address specific questions such as etiology, severity, reversibility of LV function, and prognosis. The development of targeted therapy will require a combination of imaging and therapy, which will permit individualized management decisions and hopefully facilitate better clinical outcomes for HF patients.


    Acknowledgments
 
Sources of Funding

This study was supported in part by a Centres of Clinical Research Excellence Award from the National Health and Medical Research Council of Australia, Canberra, Australia.

Disclosures

Members of Dr Marwick’s research group have collaborative research projects with GE Medical Systems, Siemens, Philips, and Lantheus Medical Imaging.


    References
 Top
 Introduction
 Functional Measurements: The...
 Novel Structural Measurements in...
 Conclusions
 References
 
1. Stewart S, Macintyre K, MacLeod MM, Bailey AEM, Capewell S, McMurray JJV. Trends in hospitalization for heart failure in Scotland, 1990–1996: an epidemic that has reached its peak? Eur Heart J. 2001; 22: 209–217.[Abstract/Free Full Text]

2. Young JB. Imaging patients with heart failure: expectations of the clinician. Heart Fail Clin. 2006; 2: 107–115.[CrossRef][Medline]

3. Chuang ML, Hibberd MG, Salton CJ, Beaudin RA, Riley MF, Parker RA, Douglas PS, Manning WJ. Importance of imaging method over imaging modality in noninvasive determination of left ventricular volumes and ejection fraction: assessment by two- and three-dimensional echocardiography and magnetic resonance imaging. J Am Coll Cardiol. 2000; 35: 477–484.[Abstract/Free Full Text]

4. Mor-Avi V, Jenkins C, Kühl HP, Nesser HJ, Marwick T, Franke A, Ebner C, Freed BH, Steringer-Mascherbauer R, Pollard H, Weinert L, Niel J, Sugeng L, Lang RM. Real-time 3D echocardiographic quantification of left ventricular volumes: multicenter study for validation with magnetic resonance imaging and investigation of sources of error. J Am Coll Cardiol Img. In press.

5. Thomson HL, Basmadjian AJ, Rainbird AJ, Razavi M, Avierinos J-F, Pellikka PA, Bailey KR, Breen JF, Enriquez-Sarano M. Contrast echocardiography improves the accuracy and reproducibility of left ventricular remodeling measurements: a prospective, randomly assigned, blinded study. J Am Coll Cardiol. 2001; 38: 867–875.[Abstract/Free Full Text]

6. Hoffmann R, von Bardeleben S, Kasprzak JD, Borges AC, ten Cate F, Firschke C, Lafitte S, Al-Saadi N, Kuntz-Hehner S, Horstick G, Greis C, Engelhardt M, Vanoverschelde JL, Becher H. Analysis of regional left ventricular function by cineventriculography, cardiac magnetic resonance imaging, and unenhanced and contrast-enhanced echocardiography: a multicenter comparison of methods. J Am Coll Cardiol. 2006; 47: 121–128.[Abstract/Free Full Text]

7. Somaratne JB, Whalley GA, Gamble GD, Doughty RN. Restrictive filling pattern is a powerful predictor of heart failure events postacute myocardial infarction and in established heart failure: a literature-based meta-analysis. J Card Fail. 2007; 13: 346–352.[CrossRef][Medline]

8. Yu CM, Sanderson JE, Marwick TH, Oh JK. Tissue Doppler imaging a new prognosticator for cardiovascular diseases. J Am Coll Cardiol. 2007; 49: 1903–1914.[Abstract/Free Full Text]

9. Paulus WJ, Tschope C, Sanderson JE, Rusconi C, Flachskampf FA, Rademakers FE, Marino P, Smiseth OA, De Keulenaer G, Leite-Moreira AF, Borbely A, Edes I, Handoko ML, Heymans S, Pezzali N, Pieske B, Dickstein K, Fraser AG, Brutsaert DL. How to diagnose diastolic heart failure. Eur Heart J. 2007; 28: 2539–2550.[Abstract/Free Full Text]

10. Grothues F, Smith GC, Moon JC, Bellenger NG, Collins P, Klein HU, Pennell DJ. Comparison of interstudy reproducibility of cardiovascular magnetic resonance with two-dimensional echocardiography in normal subjects and in patients with heart failure or left ventricular hypertrophy. Am J Cardiol. 2002; 90: 29–34.[CrossRef][Medline]

11. Jenkins C, Bricknell K, Hanekom L, Marwick TH. Reproducibility and accuracy of echocardiographic measurements of left ventricular parameters using real-time three-dimensional echocardiography. J Am Coll Cardiol. 2004; 44: 878–886.[Abstract/Free Full Text]

12. Mannaerts HF, van der Heide JA, Kamp O, Stoel MG, Twisk J, Visser CA. Early identification of left ventricular remodelling after myocardial infarction, assessed by transthoracic 3D echocardiography. Eur Heart J. 2004; 25: 680–687.[Abstract/Free Full Text]

13. Schenk S, McCarthy PM, Starling RC, Hoercher KJ, Hail MD, Ootaki Y, Francis GS, Doi K, Young JB, Fukamachi K. Neurohormonal response to left ventricular reconstruction surgery in ischemic cardiomyopathy. J Thorac Cardiovasc Surg. 2004; 128: 38–43.[Abstract/Free Full Text]

14. Dor V. Surgical remodeling of left ventricle. Surg Clin North Am. 2004; 84: 27–43.[CrossRef][Medline]

15. Fleischmann KE, Goldman L, Robiolio PA, Lee RT, Johnson PA, Cook EF, Lee TH. Echocardiographic correlates of survival in patients with chest pain. J Am Coll Cardiol. 1994; 23: 1390–1396.[Abstract]

16. Grigioni F, Enriquez-Sarano M, Zehr KJ, Bailey KR, Tajik AJ. Ischemic mitral regurgitation: long-term outcome and prognostic implications with quantitative Doppler assessment. Circulation. 2001; 103: 1759–1764.[Abstract/Free Full Text]

17. Schwammenthal E, Chen C, Benning F, Block M, Breithardt G, Levine RA. Dynamics of mitral regurgitant flow and orifice area: physiologic application of the proximal flow convergence method: clinical data and experimental testing. Circulation. 1994; 90: 307–322.[Abstract/Free Full Text]

18. Meluzin J, Spinarova L, Hude P, Krejci J, Kincl V, Panovsky R, Dusek L. Prognostic importance of various echocardiographic right ventricular functional parameters in patients with symptomatic heart failure. J Am Soc Echocardiogr. 2005; 18: 435–444.[CrossRef][Medline]

19. Larose E, Ganz P, Reynolds HG, Dorbala S, Di Carli MF, Brown KA, Kwong RY. Right ventricular dysfunction assessed by cardiovascular magnetic resonance imaging predicts poor prognosis late after myocardial infarction. J Am Coll Cardiol. 2007; 49: 855–862.[Abstract/Free Full Text]

20. Abbas AE, Fortuin FD, Schiller NB, Appleton CP, Moreno CA, Lester SJ. A simple method for noninvasive estimation of pulmonary vascular resistance. J Am Coll Cardiol. 2003; 41: 1021–1027.[Abstract/Free Full Text]

21. Hunt SA, Abraham WT, Chin MH, Feldman AM, Francis GS, Ganiats TG, Jessup M, Konstam MA, Mancini DM, Oates JA. ACC/AHA 2005 guideline update for the diagnosis and management of chronic heart failure in the adult. Circulation. 2005; 112: e154–e235.[Free Full Text]

22. Weber KT. Targeting pathological remodeling: concepts of cardioprotection and reparation. Circulation. 2000; 102: 1342–1345.[Free Full Text]

23. Beltrami CA, Finato N, Rocco M, Feruglio GA, Puricelli C, Cigola E, Quaini F, Sonnenblick EH, Olivetti G, Anversa P. Structural basis of end-stage failure in ischemic cardiomyopathy in humans. Circulation. 1994; 89: 151–163.[Abstract/Free Full Text]

24. Kim RJ, Fieno DS, Parrish TB, Harris K, Chen E-L, 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: 1992–2002.[Abstract/Free Full Text]

25. 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: 1977–1985.[Abstract/Free Full Text]

26. Messroghli DR, Plein S, Higgins DM, Walters K, Jones TR, Ridgway JP, Sivananthan MU. Human myocardium: single-breath-hold MR T1 mapping with high spatial resolution: reproducibility study. Radiology. 2006; 238: 1004–1012.[Abstract/Free Full Text]

27. Sparrow P, Messroghli DR, Reid S, Ridgway JP, Bainbridge G, Sivananthan MU. Myocardial T1 mapping for detection of left ventricular myocardial fibrosis in chronic aortic regurgitation: pilot study. AJR Am J Roentgenol. 2006; 187: W630–W635.[Abstract/Free Full Text]

28. Miller S, Helber U, Kramer U, Hahn U, Carr J, Stauder NI, Hoffmeister HM, Claussen CD. Subacute myocardial infarction: assessment by STIR T2-weighted MR imaging in comparison to regional function. MAGMA. 2001; 13: 8–14.[CrossRef][Medline]

29. Knaapen P, Boellaard R, Gotte MJ, Dijkmans PA, van Campen LM, de Cock CC, Luurtsema G, Visser CA, Lammertsma AA, Visser FC. Perfusable tissue index as a potential marker of fibrosis in patients with idiopathic dilated cardiomyopathy. J Nucl Med. 2004; 45: 1299–1304.[Abstract/Free Full Text]

30. Naqvi TZ, Goel RK, Forrester JS, Siegel RJ. Myocardial contractile reserve on dobutamine echocardiography predicts late spontaneous improvement in cardiac function in patients with recent onset idiopathic dilated cardiomyopathy. J Am Coll Cardiol. 1999; 34: 1537–1544.[Abstract/Free Full Text]

31. Ohshima S, Isobe S, Izawa H, Nanasato M, Ando A, Yamada A, Yamada K, Kato TS, Obata K, Noda A, Nishizawa T, Kato K, Nagata K, Okumura K, Murohara T, Yokota M. Cardiac sympathetic dysfunction correlates with abnormal myocardial contractile reserve in dilated cardiomyopathy patients. J Am Coll Cardiol. 2005; 46: 2061–2068.[Abstract/Free Full Text]

32. Burgess MI, Jenkins C, Sharman JE, Marwick TH. Diastolic stress echocardiography: hemodynamic validation and clinical significance of estimation of ventricular filling pressure with exercise. J Am Coll Cardiol. 2006; 47: 1891–1900.[Abstract/Free Full Text]

33. Fox KF, Cowie MR, Wood DA, Coats AJS, Gibbs JSR, Underwood SR, Turner RM, Poole-Wilson PA, Davies SW, Sutton GC. Coronary artery disease as the cause of incident heart failure in the population. Eur Heart J. 2001; 22: 228–236.[Abstract/Free Full Text]

34. Klocke FJ, Baird MG, Lorell BH, Bateman TM, Messer JV, Berman DS, O'Gara PT, Carabello BA, Russell RO Jr, Cerqueira MD, St. John Sutton MG, DeMaria AN. ACC/AHA/ASNC guidelines for the clinical use of cardiac radionuclide imaging. Circulation. 2003; 108: 1404–1418.[Free Full Text]

35. Danias PG, Papaioannou GI, Ahlberg AW, O'Sullivan DM, Mann A, Boden WE, Heller GV. Usefulness of electrocardiographic-gated stress technetium-99m sestamibi single-photon emission computed tomography to differentiate ischemic from nonischemic cardiomyopathy. Am J Cardiol. 2004; 94: 14–19.[CrossRef][Medline]

36. Budoff MJ, Achenbach S, Blumenthal RS, Carr JJ, Goldpin JG, Greenland P, Guerci AD, Lima JAC, Rader DJ, Rubin GD, Shaw LJ, Wiegers SE. Assessment of coronary artery disease by cardiac computed tomography. Circulation. 2006; 114: 1761–1791.[Free Full Text]

37. Ashrafian H, Frenneaux MP, Opie LH. Metabolic mechanisms in heart failure. Circulation. 2007; 116: 434–448.[Abstract/Free Full Text]

38. Schwaiger M, Hicks R. The clinical role of metabolic imaging of the heart by positron emission tomography. J Nucl Med. 1991; 32: 565–578.[Free Full Text]

39. Buxton DB, Schwaiger M, Nguyen A, Phelps ME, Schelbert HR. Radiolabeled acetate as a tracer of myocardial tricarboxylic acid cycle flux. Circ Res. 1988; 63: 628–634.[Abstract/Free Full Text]

40. Beanlands RS, Nahmias C, Gordon E, Coates G, deKemp R, Firnau G, Fallen E. The effects of beta(1)-blockade on oxidative metabolism and the metabolic cost of ventricular work in patients with left ventricular dysfunction: a double-blind, placebo-controlled, positron-emission tomography study. Circulation. 2000; 102: 2070–2075.[Abstract/Free Full Text]

41. Ukkonen H, Beanlands RS, Burwash IG, deKemp RA, Nahmias C, Fallen E, Hill MR, Tang AS. Effect of cardiac resynchronization on myocardial efficiency and regional oxidative metabolism. Circulation. 2003; 107: 28–31.[Abstract/Free Full Text]

42. Gambhir SS, Schwaiger M, Huang SC, Krivokapich J, Schelbert HR, Nienaber CA, Phelps ME. Simple noninvasive quantification method for measuring myocardial glucose utilization in humans employing positron emission tomography and fluorine-18 deoxyglucose. J Nucl Med. 1989; 30: 359–366.[Abstract/Free Full Text]

43. Tillisch J, Brunken R, Marshall R, Schwaiger M, Mandelkern M, Phelps M, Schelbert H. Reversibility of cardiac wall-motion abnormalities predicted by positron tomography. N Engl J Med. 1986; 314: 884–888.[Abstract]

44. Neubauer S. The failing heart: an engine out of fuel. N Engl J Med. 2007; 356: 1140–1151.[Free Full Text]

45. Smith CS, Bottomley PA, Schulman SP, Gerstenblith G, Weiss RG. Altered creatine kinase adenosine triphosphate kinetics in failing hypertrophied human myocardium. Circulation. 2006; 114: 1151–1158.[Abstract/Free Full Text]

46. Golman K, Petersson JS, Magnusson P, Johansson E, Akeson P, Chai C-M, Hansson G, Mansson S. Cardiac metabolism measured noninvasively by hyperpolarized (13)C MRI. Magn Reson Med. 2008; 59: 1005–1013.[CrossRef][Medline]

47. Bristow MR. The autonomic nervous system in heart failure. N Engl J Med. 1984; 311: 850–851.[Medline]

48. Carrio I. Cardiac neurotransmission imaging. J Nucl Med. 2001; 42: 1062–1076.[Abstract/Free Full Text]

49. Merlet P, Benvenuti C, Moyse D, Pouillart F, Dubois-Rande J-L, Duval A-M, Loisance D, Castaigne A, Syrota A. Prognostic value of MIBG imaging in idiopathic dilated cardiomyopathy. J Nucl Med. 1999; 40: 917–923.[Abstract/Free Full Text]

50. Arora R, Ferrick KJ, Nakata T, Kaplan RC, Rozengarten M, Latif F, Ng K, Marcano V, Heller S, Fisher JD, Travin MI. I-123 MIBG imaging and heart rate variability analysis to predict the need for an implantable cardioverter defibrillator. J Nucl Cardiol. 2003; 10: 121–131.[CrossRef][Medline]

51. Schwaiger M, Kalff V, Rosenspire K, Haka MS, Molina E, Hutchins GD, Deeb M, Wolfe E Jr, Wieland DM. Noninvasive evaluation of sympathetic nervous system in human heart by positron emission tomography. Circulation. 1990; 82: 457–464.[Abstract/Free Full Text]

52. Caldwell JH, Link JM, Levy WC, Poole JE, Stratton JR. Evidence for pre- to postsynaptic mismatch of the cardiac sympathetic nervous system in ischemic congestive heart failure. J Nucl Med. 2008; 49: 234–241.[Abstract/Free Full Text]

53. Narula J, Haider N, Virmani R, DiSalvo TG, Kolodgie FD, Hajjar RJ, Schmidt U, Semigran MJ, Dec GW, Khaw BA. Apoptosis in myocytes in end-stage heart failure. N Engl J Med. 1996; 335: 1182–1189.[Abstract/Free Full Text]

54. Fadok VA, Voelker DR, Campbell PA, Cohen JJ, Bratton DL, Henson PM. Exposure of phosphatidylserine on the surface of apoptotic lymphocytes triggers specific recognition and removal by macrophages. J Immunol. 1992; 148: 2207–2216.[Abstract]

55. Dumont EA, Reutelingsperger CP, Smits JF, Daemen MJ, Doevendans PA, Wellens HJ, Hofstra L. Real-time imaging of apoptotic cell-membrane changes at the single-cell level in the beating murine heart. Nat Med. 2001; 7: 1352–1355.[CrossRef][Medline]

56. Narula J, Acio ER, Narula N, Samuels LE, Fyfe B, Wood D, Fitzpatrick JM, Raghunath PN, Tomaszewski JE, Kelly C, Steinmetz N, Green A, Tait JF, Leppo J, Blankenberg FG, Jain D, Strauss HW. Annexin-V imaging for noninvasive detection of cardiac allograft rejection. Nat Med. 2001; 7: 1347–1352.[CrossRef][Medline]

57. Simons M, Bonow RO, Chronos NA, Cohen DJ, Giordano FJ, Hammond K, Laham RJ, Li W, Pike M, Sellke FW, Stegmann TJ, Udelson JE, Rosengart TK. Clinical trials in coronary angiogenesis: issues, problems, consensus: An expert panel summary. Circulation. 2000; 102: E73–E86.[Medline]

58. Lu E, Wagner WR, Schellenberger U, Abraham JA, Klibanov AL, Woulfe SR, Csikari MM, Fischer D, Schreiner GF, Brandenburger GH, Villanueva FS. Targeted in vivo labeling of receptors for vascular endothelial growth factor: approach to identification of ischemic tissue. Circulation. 2003; 108: 97–103.[Abstract/Free Full Text]

59. Brooks PC, Clark RA, Cheresh DA. Requirement of vascular integrin alpha v beta 3 for angiogenesis. Science. 1994; 264: 569–571.[Abstract/Free Full Text]

60. Winter PM, Morawski AM, Caruthers SD, Fuhrhop RW, Zhang H, Williams TA, Allen JS, Lacy EK, Robertson JD, Lanza GM, Wickline SA. Molecular imaging of angiogenesis in early-stage atherosclerosis with alpha(v)beta3-integrin-targeted nanoparticles. Circulation. 2003; 108: 2270–2274.[Abstract/Free Full Text]

61. Rosenzweig A. Cardiac cell therapy: mixed results from mixed cells. N Engl J Med. 2006; 355: 1274–1277.[Free Full Text]

62. Beeres SL, Bengel FM, Bartunek J, Atsma DE, Hill JM, Vanderheyden M, Penicka M, Schalij MJ, Wijns W, Bax JJ. Role of imaging in cardiac stem cell therapy. J Am Coll Cardiol. 2007; 49: 1137–1148.[Abstract/Free Full Text]

63. Kraitchman DL, Tatsumi M, Gilson WD, Ishimori T, Kedziorek D, Walczak P, Segars WP, Chen HH, Fritzges D, Izbudak I, Young RG, Marcelino M, Pittenger MF, Solaiyappan M, Boston RC, Tsui BMW, Wahl RL, Bulte JWM. Dynamic imaging of allogeneic mesenchymal stem cells trafficking to myocardial infarction. Circulation. 2005; 112: 1451–1461.[Abstract/Free Full Text]

64. Hill JM, Dick AJ, Raman VK, Thompson RB, Yu Z-X, Hinds KA, Pessanha BS, Guttman MA, Varney TR, Martin BJ, Dunbar CE, McVeigh ER, Lederman RJ. Serial cardiac magnetic resonance imaging of injected mesenchymal stem cells. Circulation. 2003; 108: 1009–1014.[Abstract/Free Full Text]

65. Wu JC, Inubushi M, Sundaresan G, Schelbert HR, Gambhir SS. Positron emission tomography imaging of cardiac reporter gene expression in living rats. Circulation. 2002; 106: 180–183.[Abstract/Free Full Text]




This article has been cited by other articles:


Home page
Circ Cardiovasc ImagingHome page
T. H. Marwick and M. Schwaiger
The Future of Cardiovascular Imaging in the Diagnosis and Management of Heart Failure, Part 2: Clinical Applications
Circ Cardiovasc Imaging, September 1, 2008; 1(2): 162 - 170.
[Full Text] [PDF]


This Article
Free upon publication Free Article
Right arrow Extract
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrowRequest Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Marwick, T. H.
Right arrow Articles by Schwaiger, M.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Marwick, T. H.
Right arrow Articles by Schwaiger, M.
Related Collections
Right arrow Echocardiography