STATE-OF-THE-ART PAPER
Cardiac Positron Emission Tomography
Frank M. Bengel, MD*,
Takahiro Higuchi, MD,
Mehrbod S. Javadi, MD and
Riikka Lautamäki, MD, PhD
Division of Nuclear Medicine/PET, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, Maryland
Manuscript received November 13, 2008;
revised manuscript received January 27, 2009,
accepted February 23, 2009.
* Reprint requests and correspondence: Dr. Frank M. Bengel, Director of Cardiovascular Nuclear Medicine, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, 601 North Caroline Street/JHOC 3225, Baltimore, Maryland 21287 (Email: fbengel1{at}jhmi.edu).
 |
Abstract
|
|---|
Positron emission tomography (PET) is a powerful, quantitative imaging modality that has been used for decades to noninvasively investigate cardiovascular biology and physiology. Due to limited availability, methodologic complexity, and high costs, it has long been seen as a research tool and as a reference method for validation of other diagnostic approaches. This perception, fortunately, has changed significantly within recent years. Increasing diversity of therapeutic options for coronary artery disease, and increasing specificity of novel therapies for certain biologic pathways, has resulted in a clinical need for more accurate and specific diagnostic techniques. At the same time, the number of PET centers continues to grow, stimulated by PET's success in oncology. Methodologic advances as well as improved radiotracer availability have further contributed to more widespread use. Evidence for diagnostic and prognostic usefulness of myocardial perfusion and viability assessment by PET is increasing. Some studies suggest overall cost-effectiveness of the technique despite higher costs of a single study, because unnecessary follow-up procedures can be avoided. The advent of hybrid PET-computed tomography (CT), which enables integration of PET-derived biologic information with multislice CT-derived morphologic information, and the key role of PET in the development and translation of novel molecular-targeted imaging compounds, have further contributed to more widespread acceptance. Today, PET promises to play a leading diagnostic role on the pathway toward a future of high-powered, comprehensive, personalized, cardiovascular medicine. This review summarizes the state-of-the-art in current imaging methodology and clinical application, and outlines novel developments and future directions.
Key Words: positron emission tomography myocardial perfusion myocardial viability hybrid imaging molecular imaging
|
Abbreviations and Acronyms
| | CAD = coronary artery disease | | CFR = coronary flow reserve | | CMS = Centers for Medicare and Medicaid Services | | CT = computed tomography | | FDA = Food and Drug Administration | | FDG = fluorodeoxyglucose | | MBF = myocardial blood flow | | PET = positron emission tomography | | SPECT = single-photon emission computed tomography |
|
That is gold which is worth gold.
—George Herbert, English poet, 1593 to 1633 (1)
Since the introduction of the first positron emission tomography (PET) scanner in 1975 (2), PET has been used for noninvasive imaging of the heart (3,4). It has often helped reveal groundbreaking basic science in the areas of myocardial blood flow regulation (5–9), myocardial substrate metabolism (10–14), and cardiac autonomic innervation (15–18).
Due to its inherently quantitative nature, its superior detection sensitivity, and its advantageous spatial and temporal resolution over conventional nuclear techniques, PET has been considered a "gold standard" for noninvasive assessment of myocardial perfusion and viability. In the past, multiple new imaging techniques have been validated with PET as the gold standard (19–26). And in the near future, PET imaging is expected to play a key role in the introduction of novel, molecular-targeted imaging approaches (27,28).
Despite its undisputed value as a high-end diagnostic tool, PET has struggled for many years to expand from its role as a reference standard to broader clinical application. Impeding factors have been the complexity and limited availability of PET cameras, the complexity of production and delivery of short-lived positron-emitting radiotracers, and concerns related to the high cost of the test.
Approval of PET radiotracers for clinical cardiac application by the U.S. Food and Drug Administration (FDA) in 1989 and 2000, followed by reimbursement of their use for myocardial perfusion and viability imaging by the Centers for Medicare and Medicaid Services (CMS) (Table 1), were important first steps toward clinical success (29). In recent years, continuous improvement of scanner systems, commercial marketing of the tracers fluorodeoxyglucose (FDG) and rubidium-82 (82Rb), and increasing availability of the technique, mostly due to its tremendous success in oncology, have all contributed to a rapid growth of PET for clinical cardiac imaging.
Today, many leading nuclear cardiology institutions run high-throughput PET programs and create further evidence for its clinical usefulness (30–33). Large sample-size studies and randomized trials are underway or have been published (34). Industry is introducing novel radiotracers for future commercialization (35). Technical advances such as hybrid imaging systems (36) and molecular-targeted probes (28) continue to drive the field forward. Based on these developments, the notion that PET is "worth gold" to advance cardiovascular medicine stays strong.
 |
Part 1: State-of-the-Art in Imaging Technology
|
|---|
Strengths of PET methodology.
Beta (+) decay of a nucleus results in emission of a positron, which rapidly annihilates with an electron, giving off two 511-keV photons, which travel in opposite directions. The basic principle of PET is detection of these photons as coincidences in a ring scanner (Fig. 1A). The spatial resolution of reconstructed clinical PET images is currently in the range of 4 to 7 mm (37), and it is superior to conventional nuclear imaging techniques. Superior detection sensitivity allows for identification of radiotracer at nano- to picomolar concentrations. PET also has high temporal resolution, which allows for creation of dynamic imaging sequences to describe tracer kinetics. Together with readily available correction algorithms for photon attenuation, scatter, and random events, these characteristics make PET a truly quantitative imaging tool that measures absolute concentrations of radioactivity in the body and allows for kinetic modeling of physiologic parameters such as absolute myocardial blood flow or glucose use.

View larger version (33K):
[in this window]
[in a new window]
[Download PPT slide]
|
Figure 1 Advances in PET Technology
(A) Basic positron emission tomography (PET) principle: a positron (e+) is emitted from the atomic nucleus together with a neutrino. The positron moves randomly through the surrounding matter, where it hits electrons (e–) until it finally loses enough energy to interact with a single electron. This process, called "annihilation," results in 2 diametrically emitted photons with an energy of 511 keV each. These photons are detected as coincidences in the detector ring of the PET camera. (B) Traditional 2-dimensional imaging (left) uses only coincidences that occur within the same axial detector ring. Adjacent detector rings are separated by septa. Advanced 3-dimensional imaging (right) uses coincidences from all possible detector pairs. This increases sensitivity and count density but is demanding and requires correction for the higher amount of scatter and inhomogeneity at the axial edge of the field of view. (C) Inhomogeneity of in-plane spatial resolution is a function of a broader line of response for detector pairs toward the edge of the field of view (pink line vs. blue line). System matrix resolution modeling has been developed to correct for this effect and increase resolution. (D) Time-of-flight (TOF) PET increases the signal-to-noise ratio. This has become a reality since the introduction of novel detectors with high time resolution of 500 picoseconds or less. In traditional non-TOF PET, the only spatial information is derived from the line of response of the detector pair (green). The system has to assume that the annihilation may have occurred anywhere along this line of response. However, if TOF information is available, location of annihilation can be narrowed to several centimeters along the line of response (red), by taking into account the time difference between arrivals of coincidence photons at opposite detectors (t1–t2).
|
|
In recent years, several technical innovations have contributed to a steady improvement in the performance of clinical PET systems (Figs. 1B to 1D). New detector materials have enhanced coincidence detection yield and reduced system dead time (37). Three- rather than 2-dimensional coincidence detection is being used to maximize count yield, improve image statistics, and/or reduce injected dose (38,39). Reconstruction algorithms have been introduced that decrease noise and correct for geometry-related loss of resolution with increasing distance from the center of the field-of-view (40). All of these advances make implementation of the time-of-flight (the difference between arrivals of coincidence photons on both sides of the detector ring, which is in the range of picoseconds) close to becoming a clinical reality. This will increase spatial information and improve the signal/noise ratio (37).
On the acquisition side, collection of data in list mode has become available for routine use, allowing for multiple image reconstructions from a single dataset, including static, gated, and dynamic images (Fig. 2). This increases flexibility and provides various options for advanced image processing. Electrocardiogram-gated datasets can be created for complementary functional analysis (41). The addition of respiratory gating may allow for creation of "motion-frozen" images, which will reduce distortion and facilitate correction for respiratory misalignment (42).

View larger version (39K):
[in this window]
[in a new window]
[Download PPT slide]
|
Figure 2 Multidimensional List-Mode PET Acquisition
Scanner coincidences are continuously recorded along with information about the time after the start of acquisition, the electrocardiographic signal, and the signal about breathing position (optional). Data can then be resampled in multiple formats at any time of the acquisition. (A) High-count static images are reconstructed by summing all information after a pre-defined pre-scan delay (delay time after tracer injection). (B) Dynamic imaging sequences are obtained by serial temporal sampling at different times after injection. This is used for tracer kinetic analysis. (C) Electrocardiographically gated images are obtained at multiple phases of the cardiac cycle to assess ventricular function. (D) Respiratory gated images can be obtained at different phases of the breathing cycle in order to correct for respiratory motion. ED = end diastole; ES = end systole; EXSP = expiratory phase; INSP = inspiratory phase; PET = positron emission tomography.
|
|
These advantages may be combined with creation of dynamic imaging sequences for routine measurement of tracer kinetics and noninvasive absolute quantification of biological and physiological processes by compartmental modeling (43).
Positron-emitting radiotracers for cardiac imaging.
Table 1 lists current FDA-approved tracers for cardiac PET, and Table 2
lists other cardiac tracers that are not FDA approved but have been successfully applied in humans.
PET Perfusion Tracers
FDA-approved 82Rb and 13N-ammonia (13NH3) allow for short imaging protocols and same-day repeated studies due to their short half-lives. A PET perfusion study can be readily accomplished in a fraction of the time necessary for single-photon emission tomography (SPECT) myocardial perfusion imaging (29,44). 13NH3 has a first-pass extraction of 80% and requires energy for myocardial retention. The images are of high quality and resolution, and uptake is linear over a wide range of myocardial blood flow except at very high flow rates (45). Imaging with 13NH3 requires either an on-site cyclotron or close proximity to a regional radiopharmaceutical production center.
82Rb is a potassium analog that has a first-pass extraction of 65% and also requires energy for myocardial uptake via Na/K-ATPase. With 82Rb, the extraction fraction decreases in a nonlinear manner with increasing blood flow, and this effect is more pronounced when compared with ammonia, although still superior when compared with technetium-99m (99mTc)-labeled SPECT compounds (46,47). Image resolution and quality are somewhat compromised due to the high energy of positrons emitted during the decay of 82Rb and due to lower count rates as a result of the ultrashort half-life (Fig. 3). A major advantage of 82Rb over 13NH3 is that it is produced by an 82Sr/82Rb generator without the need for a cyclotron. Commercial availability of 82Rb generators in the U.S. has been considered a key element for more widespread application of clinical myocardial perfusion PET.

View larger version (49K):
[in this window]
[in a new window]
[Download PPT slide]
|
Figure 3 PET Perfusion Tracers
Tomographic positron emission tomography (PET) images of myocardial perfusion after administration of adenosine using 3 different tracers, the Food and Drug Administration-approved agents 82rubidium (82Rb) (top) and 13N-ammonia (13NH3) (middle), and the novel compound 18F-fluorobenzyl-triphenylphosphonium (18F-FBnTP) (bottom). All images were obtained in a dog model of hemodynamically relevant left circumflex coronary artery stenosis, resulting in reduced perfusion of inferolateral myocardium, as shown by all 3 tracers. Since the canine cardiac anatomy is different from human anatomy, the septum is displayed more superiorly in short axis (SA) images. HLA = horizontal long axis; VLA = vertical long axis.
|
|
Another well-established perfusion tracer, H2
15O, is potentially superior to 82Rb and 13NH3 because it is metabolically inert and freely diffusible across cell membranes. However, the tracer is not accumulated in myocardium and instead reaches equilibrium between extra- and intravascular compartments. Images of regional myocardial perfusion are not readily obtained, and processing for blood pool subtraction is needed (6). The lack of FDA approval has limited this compound to research applications in the U.S.
PET Viability Tracers
18F-FDG is an FDA-approved glucose analogue that is widely available due to its success as a metabolic imaging tracer in clinical oncology. The tracer is well established to determine myocardial glucose use as an indicator of myocardial viability. Increased FDG uptake can be observed in ischemic tissue; markedly reduced or absent uptake indicates scar formation (11,48).
FDG uptake is heterogeneous in normal myocardium in the fasting state, so oral glucose loading, nicotinic acid derivatives, or infusion of insulin and glucose have been used to enhance myocardial FDG uptake (44,49). Images obtained in nondiabetic patients and in patients with noninsulin-dependent diabetes are of higher quality after additional insulin infusion than those obtained after oral glucose loading alone. Bolus injections of insulin have been suggested (44,50). When such protocols for patient preparation are followed, cardiac FDG images are generally of high diagnostic quality.
Radiation exposure.
Radiation exposure from cardiac imaging procedures has increasingly become a matter of discussion (51). An in-depth review of this topic is beyond the scope of this article, and the interested reader is referred to dedicated literature (51). It should be noted, however, that positron emitting tracers typically provide less radiation burden to the patient when compared with SPECT tracers used for the same diagnostic purpose, which is, in part, due to their much shorter half-lives. Also, the radiation burden to staff involved in cardiac PET imaging has been investigated, and due to differences in radiotracer administration, scan acquisition, and stress-testing tasks, doses with PET seem to be lower for staff (as for patients) when compared with single-photon emitting tracers (52).
 |
Part 2: State-of-the-Art in Clinical Application
|
|---|
Myocardial perfusion.
Diagnosis of Coronary Artery Disease (CAD)
In a 2005 review, 8 studies that compared perfusion PET with coronary angiography, representing a total of nearly 800 patients, were summarized, and a mean sensitivity of 93% and specificity of 92% for detection of significant CAD were observed (29). A more recent review, reporting a weighted sensitivity of 90% and specificity of 89% from 9 studies including 877 patients, scanned mostly with 82Rb PET, confirmed these results (36). For detection of myocardial ischemia, myocardial perfusion PET is considered to have superior diagnostic accuracy when compared with the more widely available and more frequently used SPECT technique (Fig. 4).

View larger version (83K):
[in this window]
[in a new window]
[Download PPT slide]
|
Figure 4 Comparison of PET and SPECT Perfusion Imaging
Shown are matched, representative short-axis slices for single-photon emission computed tomography (SPECT) (left) and positron emission tomography (PET) (right) in 2 subjects with suspected coronary artery disease. Panel A illustrates improved specificity with PET. A fixed defect in the inferior wall on SPECT is absent on PET, suggesting the presence of a SPECT attenuation artefact. Panel B illustrates improved sensitivity with PET. Stress-induced perfusion defects in the anterior and inferolateral walls (arrows) are more clearly shown with PET versus SPECT.
|
|
Available published reports comparing PET and SPECT have also been recently reviewed (36). The robust methods for attenuation correction with PET reduce the number of false-positive scans due to attenuation artefacts, and specificity is increased. This is of particular importance in obese populations and women, where attenuation artefacts are frequent. Perfusion PET also tends to be more sensitive than SPECT, which can be explained by better spatial resolution and better tracer extraction at high flow, allowing for detection of more subtle perfusion abnormalities. However, the existing literature comparing SPECT and PET has either been published before 1992 or compared both techniques in different, retrospectively matched groups. A prospective head-to-head comparison or randomized study using current state-of-the-art for both techniques is missing and would be desirable to further support the superiority of PET.
Prognostic Value
Although meta-analyses confirm a very high diagnostic accuracy, it should be emphasized that the greatest value of perfusion imaging is considered to be its potential to predict adverse cardiac events (53). This incremental outcome information has been shown to be useful as a gatekeeper for invasive procedures and as a guide to appropriate therapy based on individual risk. Studies in very large patient groups have supported the incremental prognostic value for SPECT perfusion imaging, and confirmatory data for myocardial perfusion PET are also available. In one study, 685 patients were scanned with dipyridamole 82Rb PET and follow-up was obtained over a mean of 41 months. The annual mortality rate for a normal scan was 0.9%; it was 4.3% for an abnormal scan. After a multivariate analysis, PET results had an independent and incremental prognostic value (54). In a more recent study in 367 patients, 3 groups with different stress perfusion abnormalities (normal, mild, moderate to severe) had annual rates of hard event of 0.4%, 2.3%, and 7%, respectively, and PET data were the strongest predictors of total cardiac events. In obese patients, a preferred target group for PET imaging and a group of individuals at higher risk, the annual total event rate was 11% with an abnormal scan and 1.5% with a normal scan (32). Another very recent study confirmed the prognostic value of dipyridamole 82Rb PET in 1,441 patients with suspected or known CAD, and it demonstrated an incremental value of stress left ventricular ejection fraction from gated PET (55).
Absolute Flow Quantification
The ability to quantify myocardial blood flow (MBF) and coronary flow reserve (CFR) in absolute terms is another powerful feature of PET. This is achieved by compartmental modeling of multiframe dynamic acquisitions (47,56–60), and it has initially been limited to research applications in selected populations. Early studies showed adverse effects on CFR for multiple risk factors such as hyperlipidemia, diabetes, or smoking and supported the beneficial effects of risk-factor modifications and novel medical therapies (61–73). These studies have contributed to a paradigm shift in the perception of CAD, away from a pure macroscopic view of luminal stenoses and toward an emphasis on microcirculation and endothelial function. These are both determinants of CFR and MBF and are key mediators of disease progression and risk. Several studies have suggested the prognostic value of quantitative PET measurements of MBF and CFR for progression toward clinically overt CAD (74) and in idiopathic and hypertropic cardiomyopathies (75,76).
The growing use of myocardial perfusion PET for the clinical workup of CAD has resulted in stronger efforts to include absolute flow quantification in the analysis of clinical studies. Technical improvements (i.e., more rapid and robust processing and analysis of dynamic data) have expedited these efforts. Algorithms for the most frequently used clinical cardiac PET tracer, 82Rb, are increasingly being validated and used (43,47,60). Quantitative flow measurements may be useful and complementary to the current standard of visual/semiquantitative analysis. Their reproducibility has been demonstrated repeatedly (77–79). They may be useful for detection and evaluation of extensive multivessel CAD with balanced ischemia on qualitative images (80) (Fig. 5), evaluation of the significance of a given lesion (81), evaluation of collateral flow (82), identification of endothelial dysfunction in pre-clinical disease, as well as reliable monitoring of therapeutic strategies.

View larger version (65K):
[in this window]
[in a new window]
[Download PPT slide]
|
Figure 5 Flow Quantification by PET
Qualitative and quantitative assessment of myocardial perfusion by rest/dipyridamole stress and 82Rb PET (A) in a subject with low likelihood of coronary artery disease, and (B) in a subject with angiographically proven triple-vessel disease and balanced ischemia. Qualitative static tomographic images (left) are normalized to the individual left ventricular (LV) maximum and show no significant regional perfusion heterogeneity in either case. Polar maps of absolute myocardial blood flow, determined from dynamic images (right), are all normalized to the same flow range of 0 to 3 ml/min/g and show significant reduction of stress flow in B, resulting in blunted flow reserve. Abbreviations as in Figure 3.
|
|
Summary
Table 3
summarizes the evidence and potential clinical role of PET myocardial perfusion imaging.
Myocardial viability.
Clinical Value
Therapeutic decision making is difficult in patients with advanced CAD and severe left ventricular dysfunction because revascularization has a high procedure-related risk. Viability testing has been developed to serve as a guide to the most appropriate therapy. Initially, PET techniques played a key role in understanding the myocardial response to severe ischemic damage and in establishing the identification of myocardial viability as a diagnostic target. Metabolic imaging has been used to support the notion that assessment of perfusion alone may not be enough to predict functional recovery after revascularization. The pathophysiology of hibernating myocardium has been characterized by PET imaging as resting hypoperfusion and dysfunction with preserved glucose metabolism (11) (Fig. 6).

View larger version (69K):
[in this window]
[in a new window]
[Download PPT slide]
|
Figure 6 PET Perfusion/Metabolism Imaging for Assessment of Myocardial Viability
(Top) A mismatch with reduced rest perfusion (measured by 82Rb) and preserved/increased metabolism (measured by 18F-FDG) is shown in the inferolateral wall, indicating ischemically compromised but viable "hibernating" myocardium. (Bottom) A matched perfusion/metabolism defect is shown in the inferior wall, indicating nonviable scar. FDG = 18F-deoxyglucose; other abbreviations as in Figure 3.
|
|
It is now well known that PET, using the metabolic tracer FDG, is accurate to predict improvement of regional wall motion and global left ventricular ejection fraction after revascularization. When comparing PET with alternative viability imaging techniques such as low-dose dobutamine echocardiography, SPECT imaging with perfusion tracers, or delayed enhancement magnetic resonance imaging, differences exist that are mostly related to the pathophysiological target of each imaging test. A detailed comparison between techniques is beyond the scope of this article, and readers are referred to dedicated reviews (83–85).
PET is most predictive of improvement of function after revascularization when blood flow is reduced by >50%, with relatively high glucose uptake. A recent pooled analysis of 24 studies in 756 patients, demonstrated a weighted mean sensitivity and specificity of 92% and 63%, respectively, for regional functional recovery, with positive and negative predictive values of 74% and 87%, respectively (85).
It has been shown that it is critical to revascularize patients with PET-defined hibernating myocardium as soon as possible because improvement is less likely to occur when surgery is delayed after documentation of dysfunctional but viable myocardium (86). This has recently been confirmed in a large study analyzing more than 700 patients who all underwent 18F-FDG PET. Patients with rapid intervention had significantly better outcomes when compared with a propensity-matched group with delayed or no intervention (33).
Other studies have shown that PET can also be used to predict improvement of heart failure symptoms and improvement of exercise capacity (87). Several retrospective studies have focused on the outcome of patients with ischemic heart disease and ventricular dysfunction relative to their PET results and their treatment strategy. A recent meta-analysis summarized 10 studies in 1,046 patients and found annualized mortality rates of 4% for those with viable myocardium who underwent revascularization versus 17% for those with viability who did not undergo revascularization. The mortality was 6% for those without viability undergoing revascularization versus 8% for those without viability not undergoing revascularization (85).
Randomized Trials
Assessment of myocardial viability by PET is one of the few diagnostic approaches that have been explored in randomized diagnostic studies. Such studies are difficult to design because therapeutic decision making (which will influence outcome) is difficult to control. The field should be commended for having conducted such studies. Despite the strength of randomization, results of these studies must be interpreted with caution. Inclusion criteria as well as management algorithms need to be taken into consideration. One early randomized study assigned patients to either SPECT or PET and found no difference in accuracy between techniques for viability assessment (88). However, the study included patients with relatively preserved ejection fractions, where differences between techniques may be minimal.
The benefits of PET are expected to be greater in a target population with severe heart failure and an ejection fraction below 35%. A group of patients fulfilling these criteria was studied in another recent randomized trial that assigned 430 patients to either management assisted by FDG PET or standard care. The study overall showed only a nonsignificant trend toward reduction in cardiac events for FDG PET-assisted management versus standard care. But it needs to be emphasized that alternative viability testing was allowed in the control arm and that nonadherence to PET-based recommendations was found in a significant subfraction of patients in the PET arm. Importantly, in those who adhered to PET recommendations regarding therapy, significant survival benefits were observed (34). Although PET has been used in large and powerful viability studies, the results of these studies are still controversial and it is difficult to find a unifying conclusion. The evidence in support of the usefulness of PET is growing, but the use of viability imaging at a given center is still defined mostly by local expertise and availability.
Summary
Table 4
summarizes the evidence and potential clinical role of PET myocardial viability imaging.
View this table:
[in this window]
[in a new window]
|
Table 4 Clinical Use of PET Imaging for Assessment of Myocardial Viability: Summary of Evidence and Potential Clinical Role
|
|
Other clinical applications.
Apart from its use in CAD, PET has also been used for less frequent diseases involving the heart and cardiovascular system. Low radiation exposure and short imaging protocols make it attractive for assessment of perfusion and metabolism in selected pediatric cardiac patients (89,90). Also, the ability to do whole body imaging in addition to dedicated cardiac imaging makes it attractive for evaluation of systemic inflammatory disease such as sarcoidosis, in which cardiac involvement is prognostically very relevant (91,92).
Cost-effectiveness considerations.
In cardiology, imaging options are extensive and often redundant. Because financial resources in health care are increasingly limited, the question of cost-effectiveness is crucial. The value of PET as a research tool and as a gold standard for other diagnostic imaging techniques is not in question, but reimbursement and general clinical application of the technique is under more scrutiny because a PET procedure is more expensive than other noninvasive procedures.
Looking only at the costs of a single test is a short-sighted, incomplete approach. Estimation of the total cost of diagnostic tests for CAD requires consideration of indirect and induced costs of management algorithms based on the test. False positives may result in unnecessary subsequent diagnostic or therapeutic procedures, which carry additional costs and risks. A missed diagnosis due to a false-negative test, on the other hand, may result in preventable adverse events that could impair life duration and quality. A comprehensive analysis of utility has to account for the impact of medical care on quality as well as quantity of life.
Patterson et al. (93) used a mathematical model to compare cost-effectiveness of exercise electrocardiography, SPECT, PET, and invasive angiography to diagnose CAD. Their model accounted for costs per effect or cost per utility unit (including cost of diagnostic and therapeutic measures, which included those that yield false-positive results as well as those that yield false-negative results). They observed that PET, despite the high cost of a single test, shows the lowest cost per effect in patients with a pre-test likelihood of CAD below 70%. This was attributed to its superior diagnostic accuracy and avoidance of false-positive and false-negative studies. Only when the pre-test likelihood was above 70% was direct angiography the most cost-effective approach. Gould et al. (94), using a somewhat less complex model, had earlier come to similar conclusions, but both studies were published more than 13 years ago.
Merhige et al. (95) more recently compared the frequency of diagnostic arteriography, revascularization, costs, and 1-year clinical outcomes in 2,159 patients studied with PET with an internal and an external SPECT control group. They showed reduced use of downstream invasive procedures when using perfusion PET versus SPECT, which resulted in lower costs with comparable outcomes.
Similar issues need to be considered for PET imaging of myocardial viability. The costs of a single test are high, but the costs and risk of avoidable surgical or interventional treatment may be even higher. Avoidance of an unnecessary bypass operation, or even of an unnecessary cardiac transplantation, may justify conducting numerous noninvasive tests if they are appropriate for guidance of clinical decision making. It has clearly been shown that PET assessment of viability influences decision making (96), and if PET recommendations are followed, outcomes will improve (34). One study in the United Kingdom applied an economic model and compared 3 strategies (bypass for all patients, medical therapy for all patients, and PET-guided decision for bypass or medical therapy). It was concluded that PET may be cost-effective to select patients with poor left ventricular function for coronary artery bypass grafting (97).
Hence, there is some evidence for cost-effectiveness of cardiac PET in the clinical setting. Factors such as higher patient throughput and patient comfort due to shorter imaging protocols for PET versus SPECT have not even been considered in the above analyses. But cost-effectiveness remains complex and difficult to generalize. Further studies using updated clinical algorithms and updated values for accuracy and procedure costs are necessary to support the use of PET in the actual health care environment.
Target populations in which perfusion PET may be especially cost-effective are obese patients and women, although it should be noted that computed tomography (CT) angiography may emerge as a competitor to PET in such situations (98). For viability imaging, end-stage ischemic cardiomyopathy may be the most useful situation. Studying cost-effectiveness in these specific groups in more detail might further support an efficient clinical use of the high-end technique.
 |
Part 3: New Developments and Future Directions
|
|---|
Hybrid PET-CT: the merging of morphology, function and biology.
Due to their success in oncology, all currently offered PET imaging systems are hybrid PET-CT scanners. This has brought challenges for cardiac imaging that are related mainly to the use of a separate CT for attenuation correction of subsequently acquired PET data. Respiratory or patient motion may result in misalignment of CT and PET and artificial heterogeneity in CT-attenuation–corrected cardiac PET images (99). Corrective algorithms have been proposed to address this issue (99–101).
More importantly, the advent of hybrid PET-CT has resulted in the unique opportunity to combine CT-derived morphologic information with PET-derived functional, physiological and biological information. Most PET-CT scanners are now equipped with multislice CT, allowing for CT measurement of coronary calcium and/or CT coronary angiography in addition to PET imaging procedures.
Schenker et al. (31) measured myocardial perfusion and coronary calcium in a single cardiac PET-CT study in 695 patients with an intermediate pre-test likelihood of CAD. They observed an increasing prevalence of abnormal PET with increasing coronary calcium scores. In about 50% of cases with very high calcium, myocardial perfusion was abnormal. But interestingly, abnormal perfusion was also found in 16% of patients with absent calcium.
Risk-adjusted survival analysis demonstrated a stepwise increase in cardiac events with increasing calcium scores in patients with and without ischemia on PET. Among patients with normal PET myocardial perfusion imaging, the annualized event rate in patients with no calcium was lower than in those with high calcium (2.6% vs. 12.3%, respectively). In patients with ischemia demonstrated on PET, the annualized event rate in those with no calcium was also lower than in those with high calcium (8.2% vs. 22.1%). These data suggest that CT calcium scoring and PET perfusion imaging are complementary for the assessment of cardiovascular risk. Both can be integrated to stratify patients into different risk-based categories.
There is less evidence at the moment for the integrated use of CT coronary angiography and perfusion PET, although initial studies suggest that both tests may also be complementary rather than competitive. Not all patients with obstructive atherosclerosis on CT show ischemia on PET and, vice versa, not all patients with nonobstructive CAD have no perfusion abnormalities (102).
Contrast-enhanced CT angiography enables the detection of noncalcified plaque and, if imaging is repeated several minutes after injection, it may allow for detection of infarcts by delayed contrast enhancement (103,104). How this information is best combined with PET for maximization of diagnostic and prognostic accuracy will be a matter of further research in the future. It is likely, however, that increasing availability of 64-slice CT in PET-CT systems, along with new prospectively gated CT acquisition techniques, which lower radiation exposure for CT angiography by more than 70% (105), will contribute to a more widespread use in hybrid PET-CT protocols (Fig. 7). Innovative integrated imaging protocols may include CT for morphologic assessment of coronary arteries and PET for functional assessment of myocardial blood flow. A CT delayed enhancement study may be done after CT angiography to identify the presence or absence of scar (104). This may obviate the need for a rest perfusion study.

View larger version (75K):
[in this window]
[in a new window]
[Download PPT slide]
|
Figure 7 Hybrid PET-CT Imaging
Integrated assessment of vascular anatomy and myocardial perfusion using hybrid positron emission tomography (PET)-computed tomography (CT) in a patient with new onset of chest pain after 4x coronary artery bypass grafting. Anterior and lateral volume rendered CT angiographic images are shown on the left and indicate failure of the left internal mammary artery graft (only clips, indicated by white arrows, are visualized), and failure of venous grafts (white arrows show occluded aortic anastomoses). The most severe native coronary lesion is found in a ramus intermedius, which is further illustrated by a curved oblique view in the center (yellow arrow shows a soft plaque in the proximal segment). Fusion images of CT anatomy and stress perfusion measured by dipyridamole 82Rb PET are shown on the right. Green arrows highlight a mild perfusion defect in the territory of the ramus intermedius as the probable correlate of the patient's symptoms.
|
|
Novel myocardial perfusion tracers.
All established PET perfusion tracers have half-lives that are very short. This limits their applicability for exercise stress, so clinical protocols usually use pharmacologic stress with the patient on the camera table, followed by immediate imaging. Another consequence of the short half-lives is the limited availability of tracers because they require an on-site cyclotron or a significant financial commitment to a strontium/rubidium generator, which needs to be replaced every month and requires high-throughput imaging to be cost-effective. This has generated interest in fluorine-18-labeled perfusion tracers, which may overcome both problems due to a longer, 110-min half-life. Like FDG, which has already been successfully commercialized, these tracers can be produced in regional centers for dose-by-dose delivery to multiple PET sites. Also, they may be injected during exercise stress with enough time to move the patient to the camera after completion of the stress protocol.
Currently, data are available on 2 18F-labeled perfusion compounds. 18F-BMS747158 is a pyridazinone derivative that avidly binds to mitochondrial complex-1 (106). Its first-pass extraction fraction is very high at 94% (107), and it yields high and stable myocardial uptake that is proportional to myocardial blood flow. Myocardial uptake is greater than that of the SPECT tracers thallium-201 and 99mTc-sestamibi (35). The compound is very promising for myocardial perfusion PET imaging and it is currently being tested in clinical phase 1 and 2 studies (Fig. 8).

View larger version (38K):
[in this window]
[in a new window]
[Download PPT slide]
|
Figure 8 PET-CT Perfusion Imaging at Rest and With Physical Exercise Using the Novel 18F-Labeled Compound BMS747158
The injected dose was 1.5 mCi at rest and 3.5 mCi at peak stress. Shown are static attenuation-corrected PET images acquired from 5 to 10 min after injection (left), as well as PET-CT fusion images documenting good alignment of PET and CT (right). Rest and stress studies were obtained on subsequent days as part of a clinical phase-1 study in healthy volunteers. Abbreviations as in Figures 3 and 7.
|
|
18F-fluorobenzyl triphenyl phosphonium (FBnTP) is another compound that is taken up rapidly by myocardium in proportion to myocardial blood flow (108), with high contrast that is superior to the SPECT tracer 99mTc-tetrofosmin. It also targets mitochondria (109) and seems to be promising for myocardial perfusion imaging (Fig. 3), although, unlike BMS747158, it has not entered clinical trials yet.
Molecular imaging.
Cardiovascular molecular imaging is a rapidly emerging discipline that aims toward visualization of specific molecular targets and pathways that precede or underlie changes in morphology, physiology, and function. Due to its high detection sensitivity, PET is considered a key player in the development and introduction of novel molecular-targeted imaging approaches. The introduction of dedicated small animal imaging systems, which allow for serial in vivo imaging in rodents and facilitate translation of new diagnostic compounds from experimental to clinical practice (Fig. 9), has further contributed to increasing recognition of the future potential of molecular imaging in cardiovascular research and patient care (110–113).

View larger version (76K):
[in this window]
[in a new window]
[Download PPT slide]
|
Figure 9 Translational Molecular Cardiac PET Imaging
Shown are representative midventricular short-axis slices of myocardial sympathetic innervation imaged with 11C-epinephrine, in the healthy human, pig, and rat heart. For size comparison, images are shown at the same scale (A) and after zooming to comparable image size (B). Human and pig hearts were imaged with a clinical scanner and the rat heart with a dedicated small animal scanner.
|
|
Due to the wide spectrum of novel approaches, a detailed review of PET-based molecular imaging is beyond the scope of this article, and the reader is referred to dedicated articles (27,28,114,115). Some key principles and some examples are highlighted below. First, molecular imaging places an emphasis on the diagnosis (and subsequent treatment) of precursors or the earliest stages of the disease, as opposed to its sequelae. Examples are the use of neuronal imaging to identify subjects at risk for ventricular arrhythmia (116), the development of compounds targeting plaque vulnerability before rupture and subsequent myocardial infarction (117,118), and the targeting of biomechanisms that precede left ventricular remodeling and development of heart failure (119,120).
Second, molecular imaging has great potential to facilitate discovery and development of novel therapies through improved target identification and implementation of more efficient end points for clinical trials. Examples are the measurement of myocardial efficiency to identify the benefits of therapies for heart failure (121,122) and imaging the beneficial effects of metabolic interventions (123).
Third, visualization of cellular and subcellular target structures has contributed to advances in fundamental cardiac research such as cell trafficking, myocardial regeneration, and heart failure-specific functional genomics and proteomics. Examples are the development of reporter gene imaging techniques (28) and the implementation of cell labeling for imaging of engraftment after transplantation (28,124).
And fourth, the need to visualize small amounts of molecular-targeted compounds in small target areas drives advances in the imaging sciences such as instrumentation, reconstruction algorithms, and probe design to improve the detection sensitivity, molecular specificity, and translational potential of molecular imaging.
The vision is that novel molecular-targeted approaches will guide early disease detection and therapeutic/preventive decision making based on an individual's biology. PET as a key modality may thereby contribute to further personalization of cardiovascular medicine.
Synergies between oncologic and cardiovascular PET.
Although PET is on the move in cardiovascular medicine and new developments are likely to increase its application and impact in clinical practice, some similarities and inter-relationships between its cardiac applications and applications for tumor imaging should be noted. First, the success of PET as a key modality in tumor staging and evaluation of anti-tumor therapy has resulted in dissemination of the technique and in improved availability for cardiac imaging. Second, expensive equipment, such as scanners, radiochemistry laboratories, and cyclotrons, is most effectively used when it serves multiple areas of PET imaging applications. And finally, many existing and novel biologic targets for PET imaging are important not only in heart and vessels, but also in tumors (Table 5). This is highly relevant not only because advances in tumor biology may help advance cardiovascular biology via improved understanding of related biomechanisms, but also because multiple applications in heart, vessels, and tumors will be helpful to stimulate interest in commercialization of compounds with a broader spectrum of target groups.
 |
Summary and Conclusions
|
|---|
Cardiac PET is a powerful, quantitative, noninvasive imaging technique that is increasingly penetrating the clinical arena. For clinical assessment of myocardial perfusion and viability, evidence for diagnostic and prognostic usefulness is increasing and cost-effectiveness due to high accuracy despite high single-test costs is suggested. The advent of hybrid imaging enables routine combination of PET with CT-derived morphologic parameters. New molecular imaging compounds will be key elements in the emerging paradigm of personalized medicine.
 |
Acknowledgments
|
|---|
The authors would like to thank Mrs. Judy Buchanan, Division of Nuclear Medicine, Johns Hopkins University, for her valuable editorial support.
 |
Footnotes
|
|---|
Dr. Bengel receives research grants from Lantheus Medical Imaging and GE Healthcare, and has received speaker honoraria from GE Healthcare, BayerSchering Pharma, and Siemens Medical Solutions.
 |
References
|
|---|
1. World of Quotes. George Herbert quotes. http://www.worldofquotes.com/author/George-Herbert/1/index.htmlAccessed May 5, 2009.2. Ter-Pogossian MM, Phelps ME, Hoffman EJ, Mullani NA. A positron-emission transaxial tomograph for nuclear imaging (PETT) Radiology 1975;114:89-98.[Abstract/Free Full Text] 3. Schelbert HR, Phelps ME, Hoffman E, Huang SC, Kuhl DE. Regional myocardial blood flow, metabolism and function assessed noninvasively with positron emission tomography Am J Cardiol 1980;46:1269-1277.[CrossRef][Medline] 4. Weiss ES, Siegel BA, Sobel BE, Welch MJ, Ter-Pogossian MM. Evaluation of myocardial metabolism and perfusion with positron-emitting radionuclides Prog Cardiovasc Dis 1977;20:191-206.[CrossRef][Web of Science][Medline] 5. Schelbert HR, Phelps ME, Huang SC, et al. N-13 ammonia as an indicator of myocardial blood flow Circulation 1981;63:1259-1272.[Free Full Text] 6. Bergmann SR, Fox KA, Rand AL, et al. Quantification of regional myocardial blood flow in vivo with H215O Circulation 1984;70:724-733.[Abstract/Free Full Text] 7. Uren NG, Melin JA, de Bruyne B, Wijns W, Baudhuin T, Camici PG. Relation between myocardial blood flow and the severity of coronary-artery stenosis N Engl J Med 1994;330:1782-1788.[CrossRef][Web of Science][Medline] 8. Gould KL, Ornish D, Scherwitz L, et al. Changes in myocardial perfusion abnormalities by positron emission tomography after long-term, intense risk factor modification JAMA 1995;274:894-901.[Abstract/Free Full Text] 9. Tamaki N, Yonekura Y, Senda M, et al. Myocardial positron computed tomography with 13N-ammonia at rest and during exercise Eur J Nucl Med 1985;11:246-251.[CrossRef][Web of Science][Medline] 10. Schelbert HR, Henze E, Sochor H, et al. Effects of substrate availability on myocardial C-11 palmitate kinetics by positron emission tomography in normal subjects and patients with ventricular dysfunction Am Heart J 1986;111:1055-1064.[CrossRef][Web of Science][Medline] 11. Tillisch J, Brunken R, Marshall R, et al. Reversibility of cardiac wall-motion abnormalities predicted by positron tomography N Engl J Med 1986;314:884-888.[Web of Science][Medline] 12. 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] 13. Schwaiger M, Fishbein MC, Block M, et al. Metabolic and ultrastructural abnormalities during ischemia in canine myocardium: noninvasive assessment by positron emission tomography J Mol Cell Cardiol 1987;19:259-269.[CrossRef][Web of Science][Medline] 14. Nuutila P, Koivisto VA, Knuuti J, et al. Glucose-free fatty acid cycle operates in human heart and skeletal muscle in vivo J Clin Invest 1992;89:1767-1774.[Web of Science][Medline] 15. Schwaiger M, Kalff V, Rosenspire K, et al. Noninvasive evaluation of sympathetic nervous system in human heart by positron emission tomography Circulation 1990;82:457-464.[Abstract/Free Full Text] 16. Goldstein DS, Chang PC, Eisenhofer G, et al. Positron emission tomographic imaging of cardiac sympathetic innervation and function Circulation 1990;81:1606-1621.[Abstract/Free Full Text] 17. Merlet P, Delforge J, Syrota A, et al. Positron emission tomography with 11C CGP-12177 to assess beta-adrenergic receptor concentration in idiopathic dilated cardiomyopathy Circulation 1993;87:1169-1178.[Abstract/Free Full Text] 18. Syrota A, Comar D, Paillotin G, et al. Muscarinic cholinergic receptor in the human heart evidenced under physiological conditions by positron emission tomography Proc Natl Acad Sci U S A 1985;82:584-588.[Abstract/Free Full Text] 19. Klein C, Nekolla SG, Bengel FM, et al. Assessment of myocardial viability with contrast-enhanced magnetic resonance imaging: comparison with positron emission tomography Circulation 2002;105:162-167.[Abstract/Free Full Text] 20. Knuesel PR, Nanz D, Wyss C, et al. Characterization of dysfunctional myocardium by positron emission tomography and magnetic resonance: relation to functional outcome after revascularization Circulation 2003;108:1095-1100.[Abstract/Free Full Text] 21. Schwitter J, DeMarco T, Kneifel S, et al. Magnetic resonance-based assessment of global coronary flow and flow reserve and its relation to left ventricular functional parameters: a comparison with positron emission tomography Circulation 2000;101:2696-2702.[Abstract/Free Full Text] 22. Vogel R, Indermuhle A, Reinhardt J, et al. The quantification of absolute myocardial perfusion in humans by contrast echocardiography: algorithm and validation J Am Coll Cardiol 2005;45:754-762.[Abstract/Free Full Text] 23. Baer FM, Voth E, Deutsch HJ, Schneider CA, Schicha H, Sechtem U. Assessment of viable myocardium by dobutamine transesophageal echocardiography and comparison with fluorine-18 fluorodeoxyglucose positron emission tomography J Am Coll Cardiol 1994;24:343-353.[Abstract] 24. Baer FM, Voth E, Schneider CA, Theissen P, Schicha H, Sechtem U. Comparison of low-dose dobutamine-gradient-echo magnetic resonance imaging and positron emission tomography with [18F]fluorodeoxyglucose in patients with chronic coronary artery disease. A functional and morphological approach to the detection of residual myocardial viability. Circulation 1995;91:1006-1015.[Abstract/Free Full Text] 25. Bonow RO, Dilsizian V, Cuocolo A, Bacharach SL. Identification of viable myocardium in patients with chronic coronary artery disease and left ventricular dysfunction. Comparison of thallium scintigraphy with reinjection and PET imaging with 18F-fluorodeoxyglucose. Circulation 1991;83:26-37.[Abstract/Free Full Text] 26. Dilsizian V, Arrighi JA, Diodati JG, et al. Myocardial viability in patients with chronic coronary artery disease. Comparison of 99mTc-sestamibi with thallium reinjection and [18F]fluorodeoxyglucose. Circulation 1994;89:578-587.[Abstract/Free Full Text] 27. Higuchi T, Bengel FM. Cardiovascular nuclear imaging: from perfusion to molecular function: non-invasive imaging Heart 2008;94:809-816.[Free Full Text] 28. Wu JC, Bengel FM, Gambhir SS. Cardiovascular molecular imaging Radiology 2007;244:337-355.[Abstract/Free Full Text] 29. Machac J. Cardiac positron emission tomography imaging Semin Nucl Med 2005;35:17-36.[CrossRef][Web of Science][Medline] 30. Bateman TM, Heller GV, McGhie AI, et al. Diagnostic accuracy of rest/stress ECG-gated Rb-82 myocardial perfusion PET: comparison with ECG-gated Tc-99m sestamibi SPECT J Nucl Cardiol 2006;13:24-33.[CrossRef][Web of Science][Medline] 31. Schenker MP, Dorbala S, Hong EC, et al. Interrelation of coronary calcification, myocardial ischemia, and outcomes in patients with intermediate likelihood of coronary artery disease: a combined positron emission tomography/computed tomography study Circulation 2008;117:1693-1700.[Abstract/Free Full Text] 32. Yoshinaga K, Chow BJ, Williams K, et al. What is the prognostic value of myocardial perfusion imaging using rubidium-82 positron emission tomography? J Am Coll Cardiol 2006;48:1029-1039.[Abstract/Free Full Text] 33. Tarakji KG, Brunken R, McCarthy PM, et al. Myocardial viability testing and the effect of early intervention in patients with advanced left ventricular systolic dysfunction Circulation 2006;113:230-237.[Abstract/Free Full Text] 34. Beanlands RS, Nichol G, Huszti E, et al. F-18-fluorodeoxyglucose positron emission tomography imaging-assisted management of patients with severe left ventricular dysfunction and suspected coronary disease: a randomized, controlled trial (PARR-2) J Am Coll Cardiol 2007;50:2002-2012.[Abstract/Free Full Text] 35. Yu M, Guaraldi MT, Mistry M, et al. BMS-747158-02: a novel PET myocardial perfusion imaging agent J Nucl Cardiol 2007;14:789-798.[CrossRef][Web of Science][Medline] 36. Di Carli MF, Hachamovitch R. New technology for noninvasive evaluation of coronary artery disease Circulation 2007;115:1464-1480.[Free Full Text] 37. Pichler BJ, Wehrl HF, Judenhofer MS. Latest advances in molecular imaging instrumentation J Nucl Med 2008;49(Suppl 2):5S-23S.[CrossRef][Web of Science][Medline] 38. Schepis T, Gaemperli O, Treyer V, et al. Absolute quantification of myocardial blood flow with 13N-ammonia and 3-dimensional PET J Nucl Med 2007;48:1783-1789.[Abstract/Free Full Text] 39. Knesaurek K, Machac J, Krynyckyi BR, Almeida OD. Comparison of 2-dimensional and 3-dimensional 82Rb myocardial perfusion PET imaging J Nucl Med 2003;44:1350-1356.[Abstract/Free Full Text] 40. Rahmim A, Tang J, Lodge MA, et al. Analytic system matrix resolution modeling in PET: an application to Rb-82 cardiac imaging Phys Med Biol 2008;53:5947-5965.[CrossRef][Web of Science][Medline] 41. Chander A, Brenner M, Lautamaki R, Voicu C, Merrill J, Bengel FM. Comparison of measures of left ventricular function from electrocardiographically gated 82Rb PET with contrast-enhanced CT ventriculography: A hybrid PET/CT analysis J Nucl Med 2008;49:1643-1650.[Abstract/Free Full Text] 42. Schafers KP, Stegger L. Combined imaging of molecular function and morphology with PET/CT and SPECT/CT: image fusion and motion correction Basic Res Cardiol 2008;103:191-199.[CrossRef][Web of Science][Medline] 43. Lautamaki R, George RT, Kitagawa K, et al. Rubidium-82 PET-CT for quantitative assessment of myocardial blood flow: validation in a canine model of coronary artery stenosis Eur J Nucl Med Mol Imaging 2008;36:576-586.[CrossRef][Web of Science][Medline] 44. Machac J, Bacharach SL, Bateman TM, et al. Positron emission tomography myocardial perfusion and glucose metabolism imaging J Nucl Cardiol 2006;13:e121-e151.[CrossRef][Medline] 45. Nienaber CA, Ratib O, Gambhir SS, et al. A quantitative index of regional blood flow in canine myocardium derived noninvasively with N-13 ammonia and dynamic positron emission tomography J Am Coll Cardiol 1991;17:260-269.[Abstract] 46. Goldstein RA, Mullani NA, Marani SK, Fisher DJ, Gould KL, O'Brien Jr. HA. Myocardial perfusion with rubidium-82. II. Effects of metabolic and pharmacologic interventions. J Nucl Med 1983;24:907-915.[Abstract/Free Full Text] 47. Lortie M, Beanlands RS, Yoshinaga K, Klein R, Dasilva JN, deKemp RA. Quantification of myocardial blood flow with 82Rb dynamic PET imaging Eur J Nucl Med Mol Imaging 2007;34:1765-1774.[CrossRef][Web of Science][Medline] 48. Egert S, Nguyen N, Brosius III FC, Schwaiger M. Effects of wortmannin on insulin- and ischemia-induced stimulation of GLUT4 translocation and FDG uptake in perfused rat hearts Cardiovasc Res 1997;35:283-293.[Abstract/Free Full Text] 49. Knuuti J, Schelbert HR, Bax JJ. The need for standardisation of cardiac FDG PET imaging in the evaluation of myocardial viability in patients with chronic ischaemic left ventricular dysfunction Eur J Nucl Med Mol Imaging 2002;29:1257-1266.[CrossRef][Web of Science][Medline] 50. Hesse B, Tagil K, Cuocolo A, et al. EANM/ESC procedural guidelines for myocardial perfusion imaging in nuclear cardiology Eur J Nucl Med Mol Imaging 2005;32:855-897.[CrossRef][Web of Science][Medline] 51. Einstein AJ, Moser KW, Thompson RC, Cerqueira, MD, Henzlova MJ. Radiation dose to patients from cardiac diagnostic imaging Circulation 2007;116:1290-1305.[Free Full Text] 52. Schleipman AR, Castronovo Jr. FP, Di Carli MF, Dorbala S. Occupational radiation dose associated with Rb-82 myocardial perfusion positron emission tomography imaging J Nucl Cardiol 2006;13:378-384.[CrossRef][Web of Science][Medline] 53. Shaw LJ, Iskandrian AE. Prognostic value of gated myocardial perfusion SPECT J Nucl Cardiol 2004;11:171-185.[CrossRef][Web of Science][Medline] 54. Marwick TH, Shan K, Patel S, Go RT, Lauer MS. Incremental value of rubidium-82 positron emission tomography for prognostic assessment of known or suspected coronary artery disease Am J Cardiol 1997;80:865-870.[CrossRef][Web of Science][Medline] 55. Lertsburapa K, Ahlberg AW, Bateman TM, et al. Independent and incremental prognostic value of left ventricular ejection fraction determined by stress gated rubidium 82 PET imaging in patients with known or suspected coronary artery disease J Nucl Cardiol 2008;15:745-753.[Web of Science][Medline] 56. Muzik O, Beanlands RS, Hutchins GD, Mangner TJ, Nguyen N, Schwaiger M. Validation of nitrogen-13-ammonia tracer kinetic model for quantification of myocardial blood flow using PET J Nucl Med 1993;34:83-91.[Abstract/Free Full Text] 57. Iida H, Takahashi A, Tamura Y, Ono Y, Lammertsma AA. Myocardial blood flow: comparison of oxygen-15-water bolus injection, slow infusion and oxygen-15-carbon dioxide slow inhalation J Nucl Med 1995;36:78-85.[Abstract/Free Full Text] 58. Yoshida K, Mullani N, Gould KL. Coronary flow and flow reserve by PET simplified for clinical applications using rubidium-82 or nitrogen-13-ammonia J Nucl Med 1996;37:1701-1712.[Abstract/Free Full Text] 59. Herrero P, Markham J, Shelton ME, Bergmann SR. Implementation and evaluation of a two-compartment model for quantification of myocardial perfusion with rubidium-82 and positron emission tomography Circ Res 1992;70:496-507.[Abstract/Free Full Text] 60. El Fakhri G, Sitek A, Guerin B, Kijewski MF, Di Carli MF, Moore SC. Quantitative dynamic cardiac 82Rb PET using generalized factor and compartment analyses J Nucl Med 2005;46:1264-1271.[Abstract/Free Full Text] 61. Pitkanen OP, Raitakari OT, Niinikoski H, et al. Coronary flow reserve is impaired in young men with familial hypercholesterolemia J Am Coll Cardiol 1996;28:1705-1711.[Abstract] 62. Campisi R, Czernin J, Schoder H, et al. Effects of long-term smoking on myocardial blood flow, coronary vasomotion, and vasodilator capacity Circulation 1998;98:119-125.[Abstract/Free Full Text] 63. Kaufmann PA, Gnecchi-Ruscone T, di Terlizzi M, Schafers KP, Luscher TF, Camici PG. Coronary heart disease in smokers: vitamin C restores coronary microcirculatory function Circulation 2000;102:1233-1238.[Abstract/Free Full Text] 64. Tsukamoto T, Morita K, Naya M, et al. Myocardial flow reserve is influenced by both coronary artery stenosis severity and coronary risk factors in patients with suspected coronary artery disease Eur J Nucl Med Mol Imaging 2006;33:1150-1156.[CrossRef][Web of Science][Medline] 65. Kjaer A, Meyer C, Nielsen FS, Parving HH, Hesse B. Dipyridamole, cold pressor test, and demonstration of endothelial dysfunction: a PET study of myocardial perfusion in diabetes J Nucl Med 2003;44:19-23.[Abstract/Free Full Text] 66. Schindler TH, Nitzsche EU, Olschewski M, et al. Chronic inflammation and impaired coronary vasoreactivity in patients with coronary risk factors Circulation 2004;110:1069-1075.[Abstract/Free Full Text] 67. Di Carli MF, Afonso L, Campisi R, et al. Coronary vascular dysfunction in premenopausal women with diabetes mellitus Am Heart J 2002;144:711-718.[Web of Science][Medline] 68. Di Carli MF, Bianco-Batlles D, Landa ME, et al. Effects of autonomic neuropathy on coronary blood flow in patients with diabetes mellitus Circulation 1999;100:813-819.[Abstract/Free Full Text] 69. Momose M, Abletshauser C, Neverve J, et al. Dysregulation of coronary microvascular reactivity in asymptomatic patients with type 2 diabetes mellitus Eur J Nucl Med Mol Imaging 2002;29:1675-1679.[CrossRef][Web of Science][Medline] 70. Bengel FM, Abletshauser C, Neverve J, et al. Effects of nateglinide on myocardial microvascular reactivity in type 2 diabetes mellitus—a randomized study using positron emission tomography Diabet Med 2005;22:158-163.[CrossRef][Web of Science][Medline] 71. Lautamaki R, Airaksinen KE, Seppanen M, et al. Insulin improves myocardial blood flow in patients with type 2 diabetes and coronary artery disease Diabetes 2006;55:511-516.[Abstract/Free Full Text] 72. Higuchi T, Abletshauser C, Nekolla SG, Schwaiger M, Bengel FM. Effect of the angiotensin receptor blocker valsartan on coronary microvascular flow reserve in moderately hypertensive patients with stable coronary artery disease Microcirculation 2007;14:805-812.[CrossRef][Web of Science][Medline] 73. Yoshinaga K, Beanlands RS, deKemp RA, et al. Effect of exercise training on myocardial blood flow in patients with stable coronary artery disease Am Heart J 2006;151:1324-1328. 74. Schindler TH, Nitzsche EU, Schelbert HR, et al. Positron emission tomography-measured abnormal responses of myocardial blood flow to sympathetic stimulation are associated with the risk of developing cardiovascular events J Am Coll Cardiol 2005;45:1505-1512.[Abstract/Free Full Text] 75. Neglia D, Michelassi C, Trivieri MG, et al. Prognostic role of myocardial blood flow impairment in idiopathic left ventricular dysfunction Circulation 2002;105:186-193.[Abstract/Free Full Text] 76. Cecchi F, Olivotto I, Gistri R, Lorenzoni R, Chiriatti G, Camici PG. Coronary microvascular dysfunction and prognosis in hypertrophic cardiomyopathy N Engl J Med 2003;349:1027-1035.[CrossRef][Web of Science][Medline] 77. Sawada S, Muzik O, Beanlands RS, Wolfe E, Hutchins GD, Schwaiger M. Interobserver and interstudy variability of myocardial blood flow and flow-reserve measurements with nitrogen 13 ammonia-labeled positron emission tomography J Nucl Cardiol 1995;2:413-422.[CrossRef][Web of Science][Medline] 78. Kaufmann PA, Gnecchi-Ruscone T, Yap JT, Rimoldi O, Camici PG. Assessment of the reproducibility of baseline and hyperemic myocardial blood flow measurements with 15O-labeled water and PET J Nucl Med 1999;40:1848-1856.[Abstract/Free Full Text] 79. Manabe O, Yoshinaga K, Katoh C, Naya M, deKemp RA, Tamaki N. Repeatability of rest and hyperemic myocardial blood flow measurements with 82Rb dynamic PET J Nucl Med 2009;50:68-71.[Abstract/Free Full Text] 80. Parkash R, deKemp RA, Ruddy TD, et al. Potential utility of rubidium 82 PET quantification in patients with 3-vessel coronary artery disease J Nucl Cardiol 2004;11:440-449.[CrossRef][Web of Science][Medline] 81. Muzik O, Duvernoy C, Beanlands RS, et al. Assessment of diagnostic performance of quantitative flow measurements in normal subjects and patients with angiographically documented coronary artery disease by means of nitrogen-13 ammonia and positron emission tomography J Am Coll Cardiol 1998;31:534-540.[Abstract/Free Full Text] 82. Demer LL, Gould KL, Goldstein RA, Kirkeeide RL. Noninvasive assessment of coronary collaterals in man by PET perfusion imaging J Nucl Med 1990;31:259-270.[Abstract/Free Full Text] 83. Bax JJ, Wijns W, Cornel JH, Visser FC, Boersma E, Fioretti PM. Accuracy of currently available techniques for prediction of functional recovery after revascularization in patients with left ventricular dysfunction due to chronic coronary artery disease: comparison of pooled data J Am Coll Cardiol 1997;30:1451-1460.[Abstract] 84. Kaandorp TA, Lamb HJ, van der Wall EE, de RA, Bax JJ. Cardiovascular MR to access myocardial viability in chronic ischaemic LV dysfunction Heart 2005;91:1359-1365.[Free Full Text] 85. Schinkel AF, Bax JJ, Poldermans D, Elhendy A, Ferrari R, Rahimtoola SH. Hibernating myocardium: diagnosis and patient outcomes Curr Probl Cardiol 2007;32:375-410.[CrossRef][Web of Science][Medline] 86. Beanlands RS, Hendry PJ, Masters RG, deKemp RA, Woodend K, Ruddy TD. Delay in revascularization is associated with increased mortality rate in patients with severe left ventricular dysfunction and viable myocardium on fluorine 18-fluorodeoxyglucose positron emission tomography imaging Circulation 1998;98:II51-II56.[Web of Science][Medline] 87. Di Carli MF, Asgarzadie F, Schelbert HR, et al. Quantitative relation between myocardial viability and improvement in heart failure symptoms after revascularization in patients with ischemic cardiomyopathy Circulation 1995;92:3436-3444.[Abstract/Free Full Text] 88. Siebelink HM, Blanksma PK, Crijns HJ, et al. No difference in cardiac event-free survival between positron emission tomography-guided and single-photon emission computed tomography-guided patient management: a prospective, randomized comparison of patients with suspicion of jeopardized myocardium J Am Coll Cardiol 2001;37:81-88.[Abstract/Free Full Text] 89. Hernandez-Pampaloni M, Allada V, Fishbein MC, Schelbert HR. Myocardial perfusion and viability by positron emission tomography in infants and children with coronary abnormalities: correlation with echocardiography, coronary angiography, and histopathology J Am Coll Cardiol 2003;41:618-626.[Abstract/Free Full Text] 90. Hauser M, Bengel FM, Kuhn A, et al. Myocardial blood flow and flow reserve after coronary reimplantation in patients after arterial switch and ross operation Circulation 2001;103:1875-1880.[Abstract/Free Full Text] 91. Ohira H, Tsujino I, Ishimaru S, et al. Myocardial imaging with 18F-fluoro-2-deoxyglucose positron emission tomography and magnetic resonance imaging in sarcoidosis Eur J Nucl Med Mol Imaging 2008;35:933-941.[CrossRef][Web of Science][Medline] 92. Ishimaru S, Tsujino I, Takei T, et al. Focal uptake on 18F-fluoro-2-deoxyglucose positron emission tomography images indicates cardiac involvement of sarcoidosis Eur Heart J 2005;26:1538-1543.[Abstract/Free Full Text] 93. Patterson RE, Eisner RL, Horowitz SF. Comparison of cost-effectiveness and utility of exercise ECG, single photon emission computed tomography, positron emission tomography, and coronary angiography for diagnosis of coronary artery disease Circulation 1995;91:54-65.[Abstract/Free Full Text] 94. Gould KL, Goldstein RA, Mullani NA. Economic analysis of clinical positron emission tomography of the heart with rubidium-82 J Nucl Med 1989;30:707-717.[Abstract/Free Full Text] 95. Merhige ME, Breen WJ, Shelton V, Houston T, D'Arcy BJ, Perna AF. Impact of myocardial perfusion imaging with PET and (82)Rb on downstream invasive procedure utilization, costs, and outcomes in coronary disease management J Nucl Med 2007;48:1069-1076.[Abstract/Free Full Text] 96. Beanlands RS, deKemp RA, Smith S, Johansen H, Ruddy TD. F-18-fluorodeoxyglucose PET imaging alters clinical decision making in patients with impaired ventricular function Am J Cardiol 1997;79:1092-1095.[CrossRef][Web of Science][Medline] 97. Jacklin PB, Barrington SF, Roxburgh JC, et al. Cost-effectiveness of preoperative positron emission tomography in ischemic heart disease Ann Thorac Surg 2002;73:1403-1409.[Abstract/Free Full Text] 98. Danciu SC, Herrera CJ, Stecy PJ, Carell E, Saltiel F, Hines JL. Usefulness of multislice computed tomographic coronary angiography to identify patients with abnormal myocardial perfusion stress in whom diagnostic catheterization may be safely avoided Am J Cardiol 2007;100:1605-1608.[CrossRef][Web of Science][Medline] 99. Lautamaki R, Brown TL, Merrill J, Bengel FM. CT-based attenuation correction in (82)Rb-myocardial perfusion PET-CT: incidence of misalignment and effect on regional tracer distribution Eur J Nucl Med Mol Imaging 2008;35:305-310.[CrossRef][Web of Science][Medline] 100. Martinez-Moller A, Souvatzoglou M, Navab N, Schwaiger M, Nekolla SG. Artifacts from misaligned CT in cardiac perfusion PET/CT studies: frequency, effects, and potential solutions J Nucl Med 2007;48:188-193.[Abstract/Free Full Text] 101. Gould KL, Pan T, Loghin C, Johnson NP, Guha A, Sdringola S. Frequent diagnostic errors in cardiac PET/CT due to misregistration of CT attenuation and emission PET images: a definitive analysis of causes, consequences, and corrections J Nucl Med 2007;48:1112-1121.[Abstract/Free Full Text] 102. Di Carli MF, Dorbala S, Curillova Z, et al. Relationship between CT coronary angiography and stress perfusion imaging in patients with suspected ischemic heart disease assessed by integrated PET-CT imaging J Nucl Cardiol 2007;14:799-809.[CrossRef][Web of Science][Medline] 103. Lardo AC, Cordeiro MA, Silva C, et al. Contrast-enhanced multidetector computed tomography viability imaging after myocardial infarction: characterization of myocyte death, microvascular obstruction, and chronic scar Circulation 2006;113:394-404.[Abstract/Free Full Text] 104. Holz A, Lautamaki R, Sasano T, et al. Expanding the versatility of cardiac PET/CT: feasibility of delayed contrast enhancement CT for infarct detection in a porcine model J Nucl Med 2009;50:259-265.[Abstract/Free Full Text] 105. Javadi M, Mahesh M, McBride G, et al. Lowering radiation dose for integrated assessment of coronary morphology and physiology: first experience with step-and-shoot CT angiography in a rubidium 82 PET-CT protocol J Nucl Cardiol 2008;15:783-790.[Web of Science][Medline] 106. Yalamanchili P, Wexler E, Hayes M, et al. Mechanism of uptake and retention of F-18 BMS-747158-02 in cardiomyocytes: a novel PET myocardial imaging agent J Nucl Cardiol 2007;14:782-788.[CrossRef][Web of Science][Medline] 107. Huisman MC, Higuchi T, Reder S, et al. Initial characterization of an 18F-labeled myocardial perfusion tracer J Nucl Med 2008;49:630-636.[Abstract/Free Full Text] 108. Madar I, Ravert H, Dipaula A, Du Y, Dannals RF, Becker L. Assessment of severity of coronary artery stenosis in a canine model using the PET agent 18F-fluorobenzyl triphenyl phosphonium: comparison with 99mTc-tetrofosmin J Nucl Med 2007;48:1021-1030.[Abstract/Free Full Text] 109. Madar I, Ravert H, Nelkin B, et al. Characterization of membrane potential-dependent uptake of the novel PET tracer 18F-fluorobenzyl triphenylphosphonium cation Eur J Nucl Med Mol Imaging 2007;34:2057-2065.[CrossRef][Web of Science][Medline] 110. Stickel JR, Qi J, Cherry SR. Fabrication and characterization of a 0.5-mm lutetium oxyorthosilicate detector array for high-resolution PET applications J Nucl Med 2007;48:115-121.[Abstract/Free Full Text] 111. Riemann B, Schafers KP, Schober O, Schafers M. Small animal PET in preclinical studies: opportunities and challenges Q J Nucl Med Mol Imaging 2008;52:215-221.[Web of Science][Medline] 112. Tai YC, Laforest R. Instrumentation aspects of animal PET Annu Rev Biomed Eng 2005;7:255-285.[CrossRef][Web of Science][Medline] 113. Rowland DJ, Cherry SR. Small-animal preclinical nuclear medicine instrumentation and methodology Semin Nucl Med 2008;38:209-222.[CrossRef][Web of Science][Medline] 114. Knuuti J, Bengel FM. Positron emission tomography and molecular imaging Heart 2008;94:360-367.[Abstract/Free Full Text] 115. Dobrucki LW, Sinusas AJ. Molecular cardiovascular imaging Curr Cardiol Rep 2005;7:130-135.[CrossRef][Medline] 116. Sasano T, Abraham MR, Chang KC, et al. Abnormal sympathetic innervation of viable myocardium and the substrate of ventricular tachycardia after myocardial infarction J Am Coll Cardiol 2008;51:2266-2275.[Abstract/Free Full Text] 117. Nahrendorf M, Zhang H, Hembrador S, et al. Nanoparticle PET-CT imaging of macrophages in inflammatory atherosclerosis Circulation 2008;117:379-387.[Abstract/Free Full Text] 118. Rudd JH, Warburton EA, Fryer TD, et al. Imaging atherosclerotic plaque inflammation with [18F]-fluorodeoxyglucose positron emission tomography Circulation 2002;105:2708-2711.[Abstract/Free Full Text] 119. Dilsizian V, Eckelman WC, Loredo ML, Jagoda EM, Shirani J. Evidence for tissue angiotensin-converting enzyme in explanted hearts of ischemic cardiomyopathy using targeted radiotracer technique J Nucl Med 2007;48:182-187.[Abstract/Free Full Text] 120. Peterson LR, Herrero P, Schechtman KB, et al. Effect of obesity and insulin resistance on myocardial substrate metabolism and efficiency in young women Circulation 2004;109:2191-2196.[Abstract/Free Full Text] 121. Sundell J, Engblom E, Koistinen J, et al. The effects of cardiac resynchronization therapy on left ventricular function, myocardial energetics, and metabolic reserve in patients with dilated cardiomyopathy and heart failure J Am Coll Cardiol 2004;43:1027-1033.[Abstract/Free Full Text] 122. Beanlands RS, Nahmias C, Gordon E, et al. 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] 123. Tuunanen H, Engblom E, Naum A, et al. Trimetazidine, a metabolic modulator, has cardiac and extracardiac benefits in idiopathic dilated cardiomyopathy Circulation 2008;118:1250-1258.[Abstract/Free Full Text] 124. Beeres SL, Bengel FM, Bartunek J, et al. Role of imaging in cardiac stem cell therapy J Am Coll Cardiol 2007;49:1137-1148.[Abstract/Free Full Text]
Related Article
-
Inside This Issue
J. Am. Coll. Cardiol. 2009 54: A22.
[Full Text]
[PDF]
This article has been cited by other articles:

|
 |

|
 |
 
Y. Nakauchi, Y. Iwanaga, S. Ikuta, M. Kudo, K. Kobuke, T. Murakami, and S. Miyazaki
Quantitative myocardial perfusion analysis using multi-row detector CT in acute myocardial infarction
Heart,
January 27, 2012;
(2012)
heartjnl-2011-300915v1.
[Abstract]
[Full Text]
|
 |
|

|
 |

|
 |
 
M. Hacker
Absolute Quantification of Myocardial Perfusion: A Method Proves Its Mettle
Circ Cardiovasc Imaging,
November 1, 2011;
4(6):
607 - 609.
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
M. A. Schroeder, K. Clarke, S. Neubauer, and D. J. Tyler
Hyperpolarized Magnetic Resonance: A Novel Technique for the In Vivo Assessment of Cardiovascular Disease
Circulation,
October 4, 2011;
124(14):
1580 - 1594.
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
O. Gaemperli, F. M. Bengel, and P. A. Kaufmann
Cardiac hybrid imaging
Eur. Heart J.,
September 1, 2011;
32(17):
2100 - 2108.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
F. M. Bengel
Leaving Relativity Behind: Quantitative Clinical Perfusion Imaging
J. Am. Coll. Cardiol.,
August 9, 2011;
58(7):
749 - 751.
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
F. M. Bengel
Imaging Targets of the Sympathetic Nervous System of the Heart: Translational Considerations
J. Nucl. Med.,
August 1, 2011;
52(8):
1167 - 1170.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
T. Higuchi, K. Fukushima, C. Rischpler, T. Isoda, M. S. Javadi, H. Ravert, D. P. Holt, R. F. Dannals, I. Madar, and F. M. Bengel
Stable Delineation of the Ischemic Area by the PET Perfusion Tracer 18F-Fluorobenzyl Triphenyl Phosphonium After Transient Coronary Occlusion
J. Nucl. Med.,
June 1, 2011;
52(6):
965 - 969.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
K. Fukushima, M. S. Javadi, T. Higuchi, R. Lautamaki, J. Merrill, S. G. Nekolla, and F. M. Bengel
Prediction of Short-Term Cardiovascular Events Using Quantification of Global Myocardial Flow Reserve in Patients Referred for Clinical 82Rb PET Perfusion Imaging
J. Nucl. Med.,
May 1, 2011;
52(5):
726 - 732.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
N. Ghosh, O. E. Rimoldi, R. S. B. Beanlands, and P. G. Camici
Assessment of myocardial ischaemia and viability: role of positron emission tomography
Eur. Heart J.,
December 2, 2010;
31(24):
2984 - 2995.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
S. Senthamizhchelvan, P. E. Bravo, C. Esaias, M. A. Lodge, J. Merrill, R. F. Hobbs, G. Sgouros, and F. M. Bengel
Human Biodistribution and Radiation Dosimetry of 82Rb
J. Nucl. Med.,
October 1, 2010;
51(10):
1592 - 1599.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
T. H. Schindler, H. R. Schelbert, A. Quercioli, and V. Dilsizian
Cardiac PET Imaging for the Detection and Monitoring of Coronary Artery Disease and Microvascular Health
J. Am. Coll. Cardiol. Img.,
June 1, 2010;
3(6):
623 - 640.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
Y. W. Wu, Y. H. Chen, S. S. Wang, H. Y. Jui, R. F. Yen, K. Y. Tzen, M. F. Chen, and C. M. Lee
PET Assessment of Myocardial Perfusion Reserve Inversely Correlates with Intravascular Ultrasound Findings in Angiographically Normal Cardiac Transplant Recipients
J. Nucl. Med.,
June 1, 2010;
51(6):
906 - 912.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
P. E. Bravo, D. Chien, M. Javadi, J. Merrill, and F. M. Bengel
Reference Ranges for LVEF and LV Volumes from Electrocardiographically Gated 82Rb Cardiac PET/CT Using Commercially Available Software
J. Nucl. Med.,
June 1, 2010;
51(6):
898 - 905.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
N. R Van de Veire, R. Djaberi, J. D Schuijf, and J. J Bax
Non-invasive assessment of coronary artery disease in diabetes
Heart,
April 1, 2010;
96(7):
560 - 572.
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
A. N. DeMaria, J. J. Bax, O. Ben-Yehuda, G. K. Feld, B. H. Greenberg, J. Hall, M. Hlatky, W. Y.W. Lew, J. A.C. Lima, A. S. Maisel, et al.
Highlights of the Year in JACC 2009
J. Am. Coll. Cardiol.,
January 26, 2010;
55(4):
380 - 407.
[Full Text]
[PDF]
|
 |
|
|