Literature DB >> 28188475

Myocardial perfusion imaging with PET.

Roel S Driessen1, Pieter G Raijmakers2, Wijnand J Stuijfzand1, Paul Knaapen3.   

Abstract

Noninvasive assessment of coronary artery disease remains a challenging task, with a large armamentarium of diagnostic modalities. Myocardial perfusion imaging (MPI) is widely used for this purpose whereby cardiac positron emission tomography (PET) is considered the gold standard. Next to relative radiotracer distribution, PET allows for measurement of absolute myocardial blood flow. This quantification of perfusion improves diagnostic accuracy and prognostic value. Cardiac hybrid imaging relies on the fusion of anatomical and functional imaging using coronary computed tomography angiography and MPI, respectively, and provides incremental value as compared with either stand-alone modality.

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Keywords:  Myocardial blood flow; Myocardial perfusion imaging; Positron emission tomography

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Year:  2017        PMID: 28188475      PMCID: PMC5489578          DOI: 10.1007/s10554-017-1084-4

Source DB:  PubMed          Journal:  Int J Cardiovasc Imaging        ISSN: 1569-5794            Impact factor:   2.357


Introduction

Positron emission tomography (PET) is a radionuclide imaging technique that allows for noninvasive quantification of myocardial blood flow (MBF) in vivo. Assessment of myocardial perfusion provides important diagnostic and prognostic information for suspected or known coronary artery disease (CAD). Due to its limited availability, methodologic complexity, and high cost, cardiac PET has long been considered to be a research tool only. In recent years, however, PET technology has been fused with computed tomography (CT). These hybrid devices have gained great popularity, predominantly driven by their success in clinical oncology, which has led to an exponential growth of the numbers of scanners installed worldwide. This growth in hardware has been paralleled by improvements in radiotracer availability and advances in postprocessing software. Consequently, cardiac PET has witnessed more widespread use and routine implementation in clinical practice. This review will outline the fundamental principles of cardiac PET imaging and available tracer characteristics. Subsequently, clinical implications of myocardial perfusion imaging (MPI) will be delineated with special emphasis on quantification of MBF and the additive value of hybrid PET/CT imaging.

Principles of PET

PET relies on the simultaneous detection of two photons, emitted from the decay of radionuclide tracers. In more detail, positrons are emitted during the distribution of these tracers in the patient’s body and collide with an electron. Consequently, a positron annihilates, which results in the emission of two photons in opposite directions. Since the average range traveled by positrons is small, in the order of mm, the decay can be considered to have occurred along the straight line described by the two annihilation photons. A PET scanner contains several rings of detectors, made of a scintillating material, which convert the energy of the annihilation photons proportionally into an electrical signal. Two photons are considered to have been emitted simultaneously when they are detected within the narrow coincidence-timing window of the scanner, around 6–12 ns. Accordingly, when two photons are detected simultaneously, a decay event should have occurred somewhere along the line between two detectors. By detection of these annihilation photon pairs, the distribution of the positron-emitting nuclides in the patients part positioned within the field-of-view of the PET scanner can be reconstructed.

PET versus SPECT

As compared with single-photon emission computed tomography (SPECT), PET has several advantages. One of the main benefits is the superior image quality of PET over SPECT. This improvement is due to more favorable tracer characteristics, improved count statistics, as well as the routine and more accurate application of photon attenuation correction (AC). Although this correction technique is increasingly available for SPECT imaging with possible benefit in terms of diagnostic accuracy, the downside is that it can also induce artifacts [1]. Furthermore, smaller and more subtle perfusion defects can be detected due to higher spatial resolution of PET (typically 4–7 mm) as compared to SPECT (typically 12–15 mm). Next to spatial resolution, also temporal resolution is in favor of PET, which allows for absolute quantification of perfusion by tracking the dynamic tracer activities of arterial blood and myocardium through time. Although it has been attempted for SPECT [2], PET is an established tool to provide clinically relevant quantitative levels of perfusion and flow reserve next to qualitative myocardial perfusion images [3-6]. Other advantages include a lower radiation burden and acquiring both rest and stress images within a single scanning session due to the short physical half-life of the PET perfusion tracers. The main limitation for PET is the need for an on-site cyclotron or generator with the current tracer agents as will be discussed in more detail. An overview of PET and SPECT imaging characteristics are provided in Table 1.
Table 1

SPECT and PET characteristics

SPECTPET
AvailabilityWideLimited
Attenuation correctionLess accurateAccurate
Spatial resolution12–15 mm4–7 mm
Protocol1–2 days<1 h
Radiation>5 mSv<5 mSv
ImagesQualitativeQuantitative
Hybrid with CTYesYes

SPECT single-photon emission computed tomography; PET positron emission tomography; mSv millisievert

SPECT and PET characteristics SPECT single-photon emission computed tomography; PET positron emission tomography; mSv millisievert

Perfusion tracer characteristics

Of several available PET tracers, 82Rb, 13NH3, and H2 15O are the most commonly used for the assessment of myocardial perfusion [3]. Additionally, 18F-flurpiridaz is an emerging perfusion tracer which holds great clinical potential but is not yet available for clinical use and is currently being tested in phase 3 trials [7-9]. Tracer specific characteristics, including pros and cons, will be described below and summarized in Table 2. It’s important to realize that none of the perfusion tracers excels on all of these features. Therefore the choice of tracer is multifactorial and depending on practical considerations, as well as the aim of the PET imaging program.
Table 2

PET tracers characteristics

H2 15O 13NH3 82Rb 18F-flurpiridaz
Half-life123 s9.97 min76 s110 min
ProductionCyclotronCyclotronGeneratorCyclotron
KineticsFreely diffusible, metabolically inertMetabolically trapped in myocardiumMetabolically trapped in myocardiumMetabolically trapped in myocardium
Mean positron range in tissue1.1 mm0.4 mm2.8 mm0.2 mm
Data acquisitionDynamicDynamic, staticDynamic, staticDynamic, static
Scan duration6 min20 min6 min20 min
Gating/LV function+++
Radiation dose~0.4 mSv~1 mSv~3 mSv~4 mSv
QuantificationExcellentGoodModerateVery good
Image qualityGood (parametric images)Very goodGoodExcellent

H2 15O, oxygen-15-labeled water, 13NH3, 13 N-labeled ammonia; 82Rb, 82rubidium; LV, left ventricular; other abbreviations as in Table 1

PET tracers characteristics H2 15O, oxygen-15-labeled water, 13NH3, 13 N-labeled ammonia; 82Rb, 82rubidium; LV, left ventricular; other abbreviations as in Table 1 Among clinically used perfusion tracers, H2 15O features fundamentally different properties compared to 82Rb, 13NH3, and 18F-flurpiridaz [3, 6, 10]. Namely, 82Rb is a potassium analog and is taken up by myocardial cells via the Na/K ATP transporter in a rapid and active manner [11]. While 13NH3 is incorporated into the glutamine pool through active transport and passive diffusion processes [12]. 18F-flurpiridaz is derived from pyridazinone and binds avidly to mitochondrial complex-1 [13]. In other words, these three tracers are transported across the cell membrane and effectively become metabolically trapped while they are cleared from the intravascular compartment (arterial blood pool). Consequently, ‘late’ static uptake images of these tracers account for high tissue-to-background ratios and result in excellent qualitative grading of relative perfusion distribution. The combination of these images with ECG-gating permits the assessment of left ventricular (LV) volumes and function as well as regional wall motion [14]. In contrast, H2 15O diffuses freely across myocyte membranes, is metabolically inert and thereby promptly reaching equilibrium between blood and tissue without accumulation in the myocardium. As a consequence, radiotracer distribution images of H2 15O are of poor image quality and provide little diagnostic value. The lack of diagnostic images has long prohibited the use of H2 15O in clinical practice and nearly all studies on qualitative imaging for CAD have been conducted with 82Rb or 13NH3 [15]. In recent years, however, digital subtraction techniques and parametric imaging by automated software packages now generate qualitative gradable images that display perfusion at a voxel level, based on the tracer kinetic model for each voxel [16, 17]. These images are distinctly different from actual tracer uptake images as they represent a graphical illustration of quantitative flow values. These developments have enabled H2 15O to be utilized in clinical practice [18, 19]. Image quality is additionally determined by the positron range in tissue. High-energy positrons penetrate deeper into tissue before annihilation occurs and demonstrate decreased spatial resolution compared to low-energy positrons. Therefore, image resolution gradually increases from 82Rb, H2 15O, 13NH3, to 18F-flurpiridaz, respectively, according to their energetic state (Fig. 1) [4]. Moreover, the physical half-life of the radioactive compounds determines the potential acquisition duration and therefore count-statistics. The short physical half-life of 82Rb and H2 15O allows a timeframe of only a few minutes of acquisition before the tracer is decayed to background levels, whereas 13NH3 and 18F-flurpiridaz acquisitions can be continued till satisfactory counts-statistics are obtained, which enhances image quality. These factors result in the highest image quality of 18F-flurpiridaz given its long half-life and low positron range as opposed to relative poor image quality of 82Rb with its ultra-short half-life and high positron range.
Fig. 1

Simulated short-axis images using digital cardio-torso phantom for different positron emitting radioisotopes (18F, 13N, 15O and 82Rb). Blurring effect by positron range increases with higher positron kinetic energy.

Adapted from Rischpler et al. [8]

Simulated short-axis images using digital cardio-torso phantom for different positron emitting radioisotopes (18F, 13N, 15O and 82Rb). Blurring effect by positron range increases with higher positron kinetic energy. Adapted from Rischpler et al. [8] Next to relative uptake images, PET enables the assessment of absolute levels of tracer concentration. Using a dynamic acquisition (i.e. multiple frames initiated upon administration of the tracer) time-activity curves can be generated of tracer flux for arterial blood and myocardium. Automated software then computes myocardial blood flow (MBF) in absolute terms (in units of mL·min−1·g−1) and calculates coronary flow reserve (CFR) [16, 17]. An ideal tracer for these measurements is characterized by accumulation in/or clearance from myocardium proportionally linear to perfusion, irrespective of flow rate or metabolic state [20]. H2 15O is the only tracer that meets these criteria and is considered the gold standard for quantification of MBF [21]. The other aforementioned tracers have the property that myocardial extraction from arterial blood is incomplete and curvilinear with increasing flow rates, frequently referred to as the “roll-off” phenomenon (Fig. 2) [22]. PET derived MBF measurements are therefore underestimated with increasing actual flow. Correction models based on animal experiments can be employed yet induce noise, particularly when large correction factors are required with severely blunted extraction at high perfusion levels or with tracers characterized by a lower extraction fraction. Nonetheless, each of these tracers has been tested in animal experiments against microsphere-quantified perfusion, the invasive reference standard. H2 15O and 13NH3 in particular have been well validated and display close agreement with microsphere flow and demonstrate low test–retest variability (10–15%) [10, 21, 23–25]. In recent years, automated software packages have been developed and improved, applying these validated models. Postprocessing is now in the order of minutes, and these packages display high reproducibility [16, 26, 27]. Quantification of 82Rb is less reliable as this tracer harbors intrinsic limitations (ultrashort physical half-life, long positron range, and low extraction fraction). Nonetheless, its extraction fraction is still superior to Technetium-99m (99mTc)-labeled SPECT (Fig. 2) and recent studies have shown MBF measurements of 82Rb to be feasible [28]. Limited data are available concerning the quantification of 18F-flurpiridaz, but its characteristics and kinetics (very high extraction fraction and short positron range) have the potential for highly reliable perfusion measurements [8, 20, 29].
Fig. 2

Kinetics of myocardial perfusion tracers and contrast agent. Graphical presentation of the relationship between absolute myocardial blood flow and tracer uptake for currently available PET radiotracers and 18F-flurpiridaz, which is not yet available for clinical use. Also included are the kinetics of the commonly used SPECT radiotracer (99mTc-Sestamibi) as well as contrast agents for CT and CMR perfusion (i.e. iodine and gadolinium based contrast agent).

Adapted from Danad et al. [30]

Kinetics of myocardial perfusion tracers and contrast agent. Graphical presentation of the relationship between absolute myocardial blood flow and tracer uptake for currently available PET radiotracers and 18F-flurpiridaz, which is not yet available for clinical use. Also included are the kinetics of the commonly used SPECT radiotracer (99mTc-Sestamibi) as well as contrast agents for CT and CMR perfusion (i.e. iodine and gadolinium based contrast agent). Adapted from Danad et al. [30] Of interest, recent developments enabled the estimation of quantitative MBF using alternative noninvasive imaging techniques, such as cardiovascular magnetic resonance imaging (CMR) and CT, with the use of contrast media [31, 32]. The low extraction fraction of these iodine and gadolinium based contrast agents (Fig. 2), however, necessitates the use of extensive corrections and limits the accuracy of MBF measurements.

Tracer production and availability

A fundamental concern for widespread clinical application of cardiac PET perfusion imaging is the necessity to produce the utilized tracers onsite. In this regard, the currently available tracers H2 15O and 13NH3 require a cyclotron in close proximity of the scanning facilities. Additionally, while H2 15O is mainly used in European and Asian nuclear imaging labs at this time, FDA hasn’t approved this tracer for clinical use. 82Rb, however, is produced by a 82Sr/82Rb generator obviating the need for a cyclotron and is therefore more convenient to implement in clinical practice. The downside of this approach is that the generator needs to be replenished every 28 days at relatively high costs ($20,000). In order to make such a program cost-effective, a high volume patient throughput is needed. These issues may soon be overcome by the emerging fluorine-labeled tracers such as 18F-flurpiridaz [8]. Because its longer physical half-life of 110 min allows for off-site production, this tracer has great potential for widespread implementation. 18F-labeled perfusion tracers also benefit from the fact that they can be used in physical exercise protocols whereby the radioisotope is administered during maximal exertion. 82Rb, H2 15O, and 13NH3 require injection while the patient is lying inside the scanner, as tracer decay is too rapid to transport the patient from the treadmill or stationary bike to the scanner. These tracers can therefore only be utilized in conjunction with pharmacological stressor agents.

Clinical value of myocardial blood flow imaging

Similar to SPECT, in clinical practice PET perfusion images are most commonly graded visually and in a qualitative manner. Relative radiotracer distribution is assessed during both rest and stress (or hyperemic) conditions. Myocardial perfusion defects are usually graded by their extent, severity, and location. Current guidelines recommend a semiquantitative analysis using a segmental 5 point scale system (normal = 0, mild defect = 1, moderate defect = 2, severe defect = 3, and absent uptake = 4) on a 17 segment model of the left ventricle [33, 34]. These scores can be summed for rest (SRS) and stress (SSS) with a subsequent summed difference score (SDS) in order to identify reversibility [35]. Fixed defects are compatible with myocardial scarring or hibernating myocardium, whereas reversibility of stress induced hypoperfusion is compatible with ischemia. Next to qualitative and semiquantitative grading, PET also allows for absolute quantification of perfusion. Several available automatic software packages routinely provide these MBF values per myocardial territory. Derived MBF values can then be compared with normalcy ranges of flow. Normal databases, however, display a broad base of hyperemic MBF between 2 and 5 mL min−1 g−1, which is attributable to variability in minimal microvascular resistance and is dependent on age, sex, and traditional cardiovascular risk factors [36-39]. Currently, still limited data are available with regard to an optimal threshold to distinguish pathological from normal hyperemic MBF and myocardial flow reserve [5]. In addition, thresholds for PET derived MBF values are not interchangeable for different radiotracers. Although in general, a myocardial flow reserve below two is considered abnormal whereas beyond 2.5 is deemed normal, with an ambiguous transition zone between 2.0 and 2.5 [6]. These values were confirmed by a recent multicenter study presenting an optimal threshold of 2.30 mL min−1 g−1 for hyperemic MBF and 2.50 mL min−1 g−1 for myocardial flow reserve when compared with invasive fractional flow reserve (FFR) measurements [40]. It can be questioned, however, whether single thresholds are reasonable. Alternatively, MBF values might be interpreted on a continuous scale for diagnostic and prognostic purposes as well as subsequent clinical decision making [5]. Therefore ongoing studies are targeted to further define the normal limits of (hyperemic) perfusion, especially for different subgroups such as revascularized patients as well as patients with diabetes and cardiomyopathies [41]. Another important issue is that myocardial perfusion imaging reflects the composite of the epicardial as well as the microvascular bed. This means that diminished flow values may originate from either epicardial or microvascular disease, or both.

Diagnostic accuracy of PET imaging

The majority of studies exploring the diagnostic accuracy of PET perfusion imaging for the detection of CAD, have been conducted with static uptake images of 82Rb and 13NH3. Compared with SPECT, perfusion imaging using PET consistently yields the highest diagnostic accuracy [42-44]. Sensitivity and specificity for PET in these meta-analyses ranged from 84 to 93% and 81 to 88%, respectively. It must be acknowledged, however, that most of these studies were compared with invasive coronary angiography without FFR and therefore lack an appropriate reference standard. Diagnostic accuracy testing has been less extensive for quantitative perfusion imaging. Increasing data, however, show the superiority of quantitative assessment over static uptake image grading [45-49]. Typical groups of patients which could benefit the most from quantitative assessment include patients with multivessel disease (i.e. balanced ischemia), early stage blood flow impairment, and microvascular disease [6, 47, 50]. Especially multivessel disease frequently results in false negative interpretation of relative radiotracer uptake, because the myocardial region with the highest uptake is considered the normal reference region. Absolute blood flow quantification would then reveal that this region is abnormally perfused as well. This is illustrated with an example in Fig. 3. Apart from this, the combination with ECG gated derived information such as LV function and transient ischemic dilatation (TID) seems to increase diagnostic accuracy of qualitative uptake images [51, 52].
Fig. 3

99mTc-Tetrofosmin SPECT (A), H2 15O PET (B) and invasive coronary angiography (C) images of a 73-year-old male with chest pain. Short and long axis images during stress (A1) and rest (A2) show a homogenous tracer distribution indicating a normal perfusion. Stress and rest polarmaps (A3) display the same normal perfusion pattern. PET derived short and long axis images show an extensive attenuated perfusion pattern during stress (B1) as compared to rest (B2). Quantitative MBF values provided in the polarmaps (B3) indicate ‘balanced ischemia’ with impaired hyperemic MBF (<2.30 mL min−1 g−1) and flow reserve (<2.50) values in each vascular territory. Invasive coronary angiography confirmed the diagnosis with multi vessel disease located at the proximal and distal right coronary artery (C1) and left main coronary artery (C2) as indicated with arrows

99mTc-Tetrofosmin SPECT (A), H2 15O PET (B) and invasive coronary angiography (C) images of a 73-year-old male with chest pain. Short and long axis images during stress (A1) and rest (A2) show a homogenous tracer distribution indicating a normal perfusion. Stress and rest polarmaps (A3) display the same normal perfusion pattern. PET derived short and long axis images show an extensive attenuated perfusion pattern during stress (B1) as compared to rest (B2). Quantitative MBF values provided in the polarmaps (B3) indicate ‘balanced ischemia’ with impaired hyperemic MBF (<2.30 mL min−1 g−1) and flow reserve (<2.50) values in each vascular territory. Invasive coronary angiography confirmed the diagnosis with multi vessel disease located at the proximal and distal right coronary artery (C1) and left main coronary artery (C2) as indicated with arrows Another interesting finding from recent studies is that hyperemic MBF quantification outperforms CFR to diagnose obstructive CAD, highlighting the potential of stress only protocols [40, 53, 54]. The largest of these studies, involving 330 patients, reported a sensitivity, specificity, and accuracy of 89, 84, and 86% against 86, 72, and 78% for hyperemic MBF and CFR, respectively [40] (Fig. 4).
Fig. 4

Diagnostic performance of quantitative PET perfusion parameters. ROC curve analysis with corresponding AUCs and 95% CI displaying the diagnostic performance of hyperemic MBF, MFR, MFRcorr, and baseline MBF for the detection of hemodynamically significant CAD as indicated by FFR on a per patient basis (a). Sensitivity, specificity, PPV, NPV, and accuracy on a per patient basis of quantitative PET using hyperemic MBF and MFR, respectively, as a perfusion parameter (b).

Adapted from Danad et al. [40]

Diagnostic performance of quantitative PET perfusion parameters. ROC curve analysis with corresponding AUCs and 95% CI displaying the diagnostic performance of hyperemic MBF, MFR, MFRcorr, and baseline MBF for the detection of hemodynamically significant CAD as indicated by FFR on a per patient basis (a). Sensitivity, specificity, PPV, NPV, and accuracy on a per patient basis of quantitative PET using hyperemic MBF and MFR, respectively, as a perfusion parameter (b). Adapted from Danad et al. [40]

Prognostic value of PET imaging

Studies determining the prognostic significance of SPECT contain larger databases, nonetheless parallel the value of PET [55]. The extent and severity of PET derived perfusion defects have also been demonstrated to hold strong prognostic information beyond traditional cardiovascular risk factors [56, 57]. In addition, the quantitative nature of PET has the potential to further increase prognostic significance. Due to greater availability, especially quantitative 82Rb and 13NH3 PET have shown incremental value for predicting adverse cardiac events over traditional relative perfusion imaging grading [4, 58–60]. Murthy et al. [4] revealed a significant association between quantitative coronary flow reserve (CFR) measurements and cardiac mortally even after adjustment for traditional risk factors and visual perfusion imaging grading in nearly three thousand patients undergoing 82Rb PET imaging. CFR measurements also induced correct reclassification of estimated risk categories in 35% of patients with a previously intermediate risk on cardiac death. Of particular interest is reclassification of perfusion images with visually homogenous tracer distribution caused by diffusely blunted hyperemic perfusion. Several studies have revealed that this subset of patients is at increased risk for future cardiac events [58, 59, 61, 62] Additionally, reduced flow values predict higher risk of cardiac events, even without obstructive CAD. Microvascular dysfunction is thought to play an important pathophysiological role in these patients [63, 64].

Additive value of hybrid PET/CT

Current PET scanners are virtually always equipped with a CT component. These hybrid PET/CT devices are now available up to 128-slice CT and offer near simultaneous assessment of comprehensive anatomical and functional information within a single scanning session, which can be as short as 30 min. An example is shown in Fig. 5.
Fig. 5

Case example of a 46-year-old male with typical anginal chest pain. PET showed an inferolateral perfusion defect with an abnormal hyperemic perfusion of 1.89 mL min−1 g−1 and a myocardial flow reserve of 1.75. CCTA displayed an obstructive soft plaque located in the obtuse marginal branch. Fused PET and CCTA images revealed a perfusion defect downstream from the coronary stenosis. Invasive coronary angiography showed angiographic significant luminal narrowing of the obtuse marginal branch (1-vessel disease) with an FFR of 0.34

Case example of a 46-year-old male with typical anginal chest pain. PET showed an inferolateral perfusion defect with an abnormal hyperemic perfusion of 1.89 mL min−1 g−1 and a myocardial flow reserve of 1.75. CCTA displayed an obstructive soft plaque located in the obtuse marginal branch. Fused PET and CCTA images revealed a perfusion defect downstream from the coronary stenosis. Invasive coronary angiography showed angiographic significant luminal narrowing of the obtuse marginal branch (1-vessel disease) with an FFR of 0.34 Coronary computed tomography angiography (CCTA) is an established tool for the non-invasive detection of coronary atherosclerotic stenosis. A multitude of studies have shown a high diagnostic performance of CCTA for the identification of coronary artery stenosis [65-67]. In particular, its sensitivity and negative predictive value are consistently demonstrated to be near perfect, approximating 100%. CCTA is therefore currently the ultimate modality to exclude CAD in patients with a low to intermediate pre-test likelihood of disease. Furthermore, CCTA enables noninvasive evaluation of plaque morphology. Thereby detecting very early stages of CAD as well as plaques that might be vulnerable for rupture [68]. The specificity is, however, hampered as stenosis severity is often overestimated [69]. Another downside of CCTA concerns its limited ability to predict hemodynamic consequences of atherosclerotic stenosis. On the contrary, myocardial perfusion imaging using either PET or SPECT, is particularly useful to assess hemodynamic significances and thus document myocardial ischemia. As mentioned before, without the knowledge of coronary anatomy and (the location of) stenosis, the results of perfusion imaging should be interpreted carefully. In summary of the above, either a solely anatomical or functional approach in the evaluation of CAD has its limitations. Therefore, a hybrid assessment could provide complementary rather than overlapping information. The limited number of studies on the diagnostic value of PET/CT seem to confirm the theoretical enhanced accuracy as compared with either modality alone [18, 19, 70, 71]. Other studies revealed analogous improvement of diagnostic performance when fusing SPECT and CCTA [72, 73]. It is shown that especially the moderate specificity of CCTA benefits from the use of hybrid imaging and results in a more judicious referral pattern for invasive coronary angiography [74-76]. In the absence of prognostic data on hybrid PET/CT, the results from hybrid SPECT/CT studies indicate an enhanced risk stratification compared to standalone modalities [75, 77, 78]. This holds particularly true when either perfusion or angiographic imaging exhibit equivocal results. Kim et al. [77] demonstrated incremental prognostic value of sequential SPECT and CCTA in 1295 patients with suspected CAD. However, there was no significant additive value in the case of either stenosis ≥90% on CCTA or SSS ≥ 4 on SPECT. Figure 5 illustrates an example of both standalone modalities as well as hybrid imaging in comparison with invasive coronary angiography. Interestingly, CT and CMR imaging provide alternative approaches with the possibility of assessing both anatomy and perfusion using a single imaging modality. For CT, the assessment of coronary anatomy can be combined with myocardial perfusion. But the acquisition of such a dynamic first pass sequence comes at the cost of high patient radiation burden, next to the aforementioned unfavorable contrast agent characteristics for CT. A recent multicenter trial, however, showed that CT perfusion using a 320-slice CT scanner improved diagnostic accuracy over CCTA alone [79]. CMR does not have the issue with ionizing radiation and can be combined with e.g. the evaluation of LV and valvular function. In a recent trial, the diagnostic accuracy of CMR in the detection of CAD was found to be superior to SPECT [31]. Still, also CMR perfusion faces multiple technical issues such as imaging artifacts, incomplete coverage of the LV and, as mentioned before, the gadolinium contrast agent impedes accurate MBF measurements with the corresponding disadvantages as compared to PET. Furthermore, not every patient is eligible to undergo CMR because of claustrophobia and contraindications such as pacemakers and implantable cardiac defibrillators.

Conclusion

PET perfusion imaging yields higher image quality and diagnostic accuracy, but lower radiation burden in comparison with SPECT. Using modern PET/CT scanners in combination with appropriate PET radiotracers, absolute quantification can be provided within a single, short scanning protocol. Quantification of flow improves both diagnostic accuracy as well as the prediction of major adverse cardiac events. Promising new PET tracers might increase clinical implementation of PET perfusion in the near future. Furthermore, hybrid PET/CT has shown incremental value compared to either one of the standalone modalities.
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Authors:  Ibrahim Danad; Pieter G Raijmakers; Hendrik J Harms; Martijn W Heymans; Niels van Royen; Mark Lubberink; Ronald Boellaard; Albert C van Rossum; Adriaan A Lammertsma; Paul Knaapen
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Authors:  Carlos E Rochitte; Richard T George; Marcus Y Chen; Armin Arbab-Zadeh; Marc Dewey; Julie M Miller; Hiroyuki Niinuma; Kunihiro Yoshioka; Kakuya Kitagawa; Shiro Nakamori; Roger Laham; Andrea L Vavere; Rodrigo J Cerci; Vishal C Mehra; Cesar Nomura; Klaus F Kofoed; Masahiro Jinzaki; Sachio Kuribayashi; Albert de Roos; Michael Laule; Swee Yaw Tan; John Hoe; Narinder Paul; Frank J Rybicki; Jeffery A Brinker; Andrew E Arai; Christopher Cox; Melvin E Clouse; Marcelo F Di Carli; Joao A C Lima
Journal:  Eur Heart J       Date:  2013-11-19       Impact factor: 29.983

4.  Comparison of clinical tools for measurements of regional stress and rest myocardial blood flow assessed with 13N-ammonia PET/CT.

Authors:  Piotr J Slomka; Erick Alexanderson; Rodrigo Jácome; Moises Jiménez; Edgar Romero; Aloha Meave; Ludovic Le Meunier; Magnus Dalhbom; Daniel S Berman; Guido Germano; Heinrich Schelbert
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5.  Quantification of coronary flow reserve in patients with ischaemic and non-ischaemic cardiomyopathy and its association with clinical outcomes.

Authors:  Maulik D Majmudar; Venkatesh L Murthy; Ravi V Shah; Swathy Kolli; Negareh Mousavi; Courtney R Foster; Jon Hainer; Ron Blankstein; Sharmila Dorbala; Arkadiusz Sitek; Lynne W Stevenson; Mandeep R Mehra; Marcelo F Di Carli
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6.  Heterogeneity of resting and hyperemic myocardial blood flow in healthy humans.

Authors:  P Chareonthaitawee; P A Kaufmann; O Rimoldi; P G Camici
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7.  Incremental prognostic value of gated Rb-82 positron emission tomography myocardial perfusion imaging over clinical variables and rest LVEF.

Authors:  Sharmila Dorbala; Rory Hachamovitch; Zelmira Curillova; Deepak Thomas; Divya Vangala; Raymond Y Kwong; Marcelo F Di Carli
Journal:  JACC Cardiovasc Imaging       Date:  2009-07

8.  Rubidium-82 PET-CT for quantitative assessment of myocardial blood flow: validation in a canine model of coronary artery stenosis.

Authors:  Riikka Lautamäki; Richard T George; Kakuya Kitagawa; Takahiro Higuchi; Jennifer Merrill; Corina Voicu; Anthony DiPaula; Stephan G Nekolla; João A C Lima; Albert C Lardo; Frank M Bengel
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Journal:  Int J Cardiovasc Imaging       Date:  2018-06       Impact factor: 2.357

4.  Temporal Changes in Coronary Hyperemic and Resting Hemodynamic Indices in Nonculprit Vessels of Patients With ST-Segment Elevation Myocardial Infarction.

Authors:  Nina W van der Hoeven; Gladys N Janssens; Guus A de Waard; Henk Everaars; Christopher J Broyd; Casper W H Beijnink; Peter M van de Ven; Robin Nijveldt; Christopher M Cook; Ricardo Petraco; Tim Ten Cate; Clemens von Birgelen; Javier Escaned; Justin E Davies; Maarten A H van Leeuwen; Niels van Royen
Journal:  JAMA Cardiol       Date:  2019-08-01       Impact factor: 14.676

5.  The myocardial flow reserve in patients with heart failure with preserved ejection fraction.

Authors:  Andrew V Mochula; Kristina V Kopeva; Alina N Maltseva; Elena V Grakova; Marina Gulya; Andrey V Smorgon; Anna Gusakova; Konstantin V Zavadovsky
Journal:  Heart Vessels       Date:  2022-09-01       Impact factor: 1.814

Review 6.  A Narrative Review of the Classical and Modern Diagnostic Methods of the No-Reflow Phenomenon.

Authors:  Larisa Renata Pantea-Roșan; Simona Gabriela Bungau; Andrei-Flavius Radu; Vlad Alin Pantea; Mădălina Ioana Moisi; Cosmin Mihai Vesa; Tapan Behl; Aurelia Cristina Nechifor; Elena Emilia Babes; Manuela Stoicescu; Daniela Gitea; Diana Carina Iovanovici; Cristiana Bustea
Journal:  Diagnostics (Basel)       Date:  2022-04-08

Review 7.  Physiological Consequences of Coronary Arteriolar Dysfunction and Its Influence on Cardiovascular Disease.

Authors:  Hassan Allaqaband; David D Gutterman; Andrew O Kadlec
Journal:  Physiology (Bethesda)       Date:  2018-09-01

Review 8.  The indications and utility of adjunctive imaging modalities for chronic total occlusion (CTO) intervention.

Authors:  Usaid K Allahwala; Emmanouil S Brilakis; Hosen Kiat; Sally Ayesa; Daniel Nour; Michael Ward; Sidney Lo; James C Weaver; Ravinay Bhindi
Journal:  J Nucl Cardiol       Date:  2020-10-06       Impact factor: 5.952

9.  Quantitative Assessment of Myocardial Ischemia With Positron Emission Tomography.

Authors:  Jae Ho Sohn; Spencer C Behr; Miguel Hernandez Pampaloni; Youngho Seo
Journal:  J Thorac Imaging       Date:  2021-01-22       Impact factor: 5.528

Review 10.  Reaction of [18F]Fluoride at Heteroatoms and Metals for Imaging of Peptides and Proteins by Positron Emission Tomography.

Authors:  Kymberley R Scroggie; Michael V Perkins; Justin M Chalker
Journal:  Front Chem       Date:  2021-06-23       Impact factor: 5.221

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