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. 2019 Feb 20;26(3):719–728. doi: 10.1007/s12350-019-01649-4

Impact of regadenoson-induced myocardial creep on dynamic Rubidium-82 PET myocardial blood flow quantification

S S Koenders 1,4,, J D van Dijk 1, P L Jager 1, J P Ottervanger 3, C H Slump 4, J A van Dalen 2
PMCID: PMC6517358  PMID: 30788758

Abstract

Background

Repositioning of the heart during myocardial perfusion imaging (MPI) using Rubidium-82 (Rb-82) PET may occur when using regadenoson. Our aim was to determine the prevalence and the effect of correcting for this myocardial creep on myocardial blood flow (MBF) quantification.

Methods

We retrospectively included 119 consecutive patients who underwent dynamic rest- and regadenoson-induced stress MPI using Rb-82 PET. The presence of myocardial creep was visually assessed in the dynamic stress PET series by identifying differences between the automatically drawn myocardium contour and the activity. Uncorrected and corrected stress MBFs were compared for the three vascular territories (LAD, LCX, and RCA) and for the whole myocardium.

Results

Myocardial creep was observed in 52% of the patients during stress. Mean MBF values decreased after correction in the RCA from 4.0 to 2.7 mL/min/g (P  < 0.001), in the whole myocardium from 2.7 to 2.6 mL/min/g (P  = 0.01), and increased in the LAD from 2.5 to 2.6 mL/min/g (P  = 0.03) and remained comparable in the LCX (P  = 0.3).

Conclusions

Myocardial creep is a frequent phenomenon when performing regadenoson-induced stress Rb-82 PET and has a significant impact on MBF values, especially in the RCA territory. As this may hamper diagnostic accuracy, myocardial creep correction seems necessary for reliable quantification.

Electronic supplementary material

The online version of this article (10.1007/s12350-019-01649-4) contains supplementary material, which is available to authorized users.

Keywords: Myocardial blood flow, PET myocardial perfusion imaging, 82Rb, Myocardial creep, Regadenoson

Introduction

The use of myocardial blood flow (MBF) quantification using Rubidium-82 (Rb-82) in myocardial perfusion imaging (MPI) with positron emission tomography (PET) is increasing rapidly.1-3 MPI using Rb-82 PET is of added value in the diagnosis of coronary artery disease, and the MBF quantification provides valuable additional prognostic information about the extent and functional importance of possible stenosis.4-6

A dynamic PET acquisition including the capture of the first-pass bolus of the activity is required for MBF quantification. Pharmacological vasodilators are generally used to induce stress, while the patient is lying inside the PET scanner.1,7 The three commonly used vasodilators are adenosine, dipyridamole, and regadenoson. Due to the stimulation of A1, A2B, and A3 receptors, adenosine and dipyridamole are associated with undesirable short-term side-effects as general discomfort, chest pain, and hypotension, and more severe side-effects such as atrioventricular block or bronchospasm.8,9 An alternative is regadenoson which is a more selective vasodilator that only stimulates A2A receptors and is fast and better tolerated by patients.10-15 Regadenoson has shown to result in accurate calculation of quantitative MBF values in MPI using Rb-82 PET with similar accuracy compared to adenosine or dipyridamole.10,12,16-18 An additional advantage of regadenoson is the significantly lower degree of patient motion compared to adenosine, which can significantly affect the MBF quantification.19-23

Despite the reduced patient motion when using regadenoson, in clinical practice, we frequently observe repositioning of the heart after administration of regadenoson. This so-called myocardial creep is presumably caused by an increasing respiration and lung volume and thereby the repositioning of the diaphragm and heart after induction of pharmacological stress.24 This motion may result in biased MBF measurements and may hamper diagnostic accuracy. Our aim was to determine the percentage of patients with this myocardial creep and to determine its effect on MBF values before and after correction in patients undergoing Rb-82 PET.

Methods

Study Design

We retrospectively included 119 consecutive patients referred for MPI using Rb-82 PET/CT (GE Discovery 690, GE Healthcare), who underwent dynamic rest- and pharmacological-induced stress using regadenoson. This study was retrospective and approval by the medical ethics committee was therefore not required according to Dutch law. Nevertheless, all patients provided written informed consent for the use of data for research purposes.

Patient Preparation and Data Acquisition

All subjects were asked to abstain from caffeine-containing substances for 24 hours and to discontinue dipyridamole-containing medication for 48 hours before imaging. Prior to MPI, a low-dose CT scan was acquired during free-breathing to provide an attenuation map of the chest. This scan was made using a 5-mm slice thickness, 0.8 s rotation time, pitch of 0.97, collimation of 32x0.625 mm, tube voltage of 120 kV, and a tube current of 10 mA. Next, 740 MBq Rb-82 was administered intravenously with a flow rate of 50 mL/min using a Sr-82/Rb-82 generator (CardioGen-82, Bracco Diagnostics Inc.). After the first elution, we induced pharmacological stress by administrating 400 µg (5 mL) of regadenoson over 10 seconds. After a 5 mL saline flush (NaCl 0.9%), we administered a second dose of 740 MBq Rb-82. We acquired seven-minute PET list-mode acquisitions after both Rb-82 administrations. Attenuation correction was applied to all data on the PET system after semiautomatic registration of CT and PET data. We reconstructed the dynamic datasets using 26 time frames (12 × 5 s, 6 × 10 s, 4 × 20 s and 4 × 40 s) with default settings as recommended by the manufacturer using 3D iterative reconstruction using 2 iterations and 24 subsets, while correcting for decay, attenuation, scatter and random coincidences, and dead time effects. Neither time-of-flight information, nor a post-processing filter or resolution modeling was used. Static images were reconstructed from 2:30 to 7:00 minutes for both rest and stress scans.

Data Processing

The reconstructed dynamic images were processed using Corridor4DM software (v2015.02.64). Myocardium contours were automatically detected in both rest and stress scans based on the static images. Furthermore, a region of interest (ROI) was manually placed at the location of the mitral valve to estimate the activity in the blood pool. The activity concentrations in the myocardium contour and ROI were measured in the 26 reconstructed time frames to calculate the time activity curves (TACs) for the left ventricle (LV), for the three vascular territories: left anterior descending (LAD), left circumflex (LCX) and right coronary (RCA) artery, and for the whole myocardium. The one-tissue compartment model of Lortie et al. based on a ROI methodology was used to calculate the MBF from the TACs using Corridor4DM.25

The activity in the myocardium was visually compared with the drawn contours in all individual time frames to detect possible patient motion or myocardial creep. Myocardial creep was defined as gradual decreasing misalignment of the drawn myocardium contour with the activity present in the ventricle and/or myocardium, primarily in the inferior direction. This misalignment was at least one third of the width of the left ventricular myocardial wall and present in at least two time frames of which one had to include the first-pass phase: the filling of the LV. If myocardial creep was present, manual realignment of the contour to the activity in the myocardium was applied in each of the related time frames. Motion not fulfilling the requirements of myocardial creep, suggesting general patient motion, was manually corrected by realigning the myocardium contour to the activity. Patients were excluded when patient motion was present together with myocardial creep to prevent biased results due to overlapping motion. Furthermore, patients with an unreliable TAC were also excluded. Unreliable TACs were defined as TACs showing no clear LV peak.26

To evaluate the influence of myocardial creep correction, both rest and stress MBFs were calculated for the original data and for the corrected data regarding the three vascular territories (LAD, LCX, and RCA) and for the whole myocardium. Furthermore, the myocardial flow reserve (MFR), defined as the stress MBF divided by the rest MBF was calculated as well. A difference in MBF or MFR >10% between the corrected and uncorrected scans was considered to possibly influence diagnostic interpretation.

Statistical Analysis

Patient-specific parameters and characteristics were determined as percentage or mean ± standard deviation (SD) and compared with Chi-square and t-tests as appropriate, using SPSS Statistics version 22.0 (IBM Corporation). The MBF and MFR of the uncorrected and corrected data were compared using the Wilcoxon signed rank test. The level of statistical significance was set to 0.05 for all statistical analyses.

Results

Of the 119 patients, 11 (9%) were excluded due to the presence of both patient motion and myocardial creep in the stress data. An additional four patients (3%) were excluded due to unreliable TACs. An example of an unreliable TAC is shown in Figure 1. Of the remaining 104 patients, four (3%) showed only general patient motion in stress.

Figure 1.

Figure 1

Linegraph showing (A) normal time activity curves (TACs) with a high peak value for the left ventricle (LV) during the first-pass phase and where the vascular territories (LAD, LCX and RCA) gradually reach a steady state and (B) unreliable TACs with no clear LV peak and lack of steady state for the three vascular territories

The baseline characteristics of the remaining 104 patients are summarized in Table 1. 54 (52%) Patients showed a myocardial creep during the stress scan, as illustrated in Figure 2. Patients with and without myocardial creep did not differ regarding gender, weight, body mass index (BMI), cardiac risk factors and scan outcomes (P ≥ 0.10). Yet patients with myocardial creep were younger (64 years old) than patients without myocardial creep (70 years old, P = 0.004). Of the 54 patients with myocardial creep during stress, two patients also showed myocardial creep during the rest scan.

Table 1.

Baseline characteristics and scan outcomes of all included patients (n = 104) who underwent clinically indicated Rb-82 PET MPI

Patients with myocardial creep (n = 54) Patients without myocardial creep (n = 50) P values (t test/χ2)
Age (years) 64 ± 11 70 ± 11 0.004
Male gender (%) 67 64 0.78
Weight (kg) 90 ± 15 85 ± 18 0.17
Length (cm) 175 ± 9 173 ± 10 0.32
BMI (kg/m2) 29.3 ± 4.1 28.5 ± 5.8 0.44
Current smoker (%) 30 16 0.10
Hypertension (%) 46 50 0.71
Diabetes (%) 17 20 0.66
Dyslipidemia (%) 56 50 0.57
Family history (%) 69 54 0.13
Normal MPI scan (%) 76 64 0.18
Ischemic defects on MPI (%) 17 28 0.29
Non-reversible defects on MPI (%) 9 16 0.61

Data are presented as mean ± SD or as percentage

Figure 2.

Figure 2

Example of a dynamic Rb-82 PET scan showing myocardial creep. In A (15-19 s after injection), the activity reaches the left ventricle (LV) and a misalignment of the automatically drawn myocardium contour and the activity is observed. In B (25-29 s after injection), the activity has reached the LV and the myocardium but the misalignment of the drawn myocardium contour and the activity is still observed. In C (360-420 s after injection), activity is only present in the myocardium and the heart has returned to its original position resulting in alignment of the observed activity and myocardium contour

The uncorrected and corrected MBF and MFR measurements, in both rest and stress, for each of the three territorial segments and for the myocardium as a whole (global result) are shown in Table 2 and Figure 3. When comparing the uncorrected and corrected data, the largest differences were found for the RCA territory where the mean MBF decreased from 4.0 to 2.7 mL/min/g (P < 0.001) and the mean MFR from 3.5 to 2.4 (P < 0.001). Moreover, the MBF of the RCA decreased in 91% (49/54) of the patients, and the MFR of the RCA decreased in 89% (48/54) of the patients, as shown in Figure 3D. Furthermore, differences in MBF and MFR were found for the LAD territory and for the whole myocardium. The mean MBF increased for the LAD from 2.5 to 2.6 mL/min/g (P = 0.03) and for the MFR from 2.2 to 2.3 (P = 0.006), and for the whole myocardium, the mean MBF and MFR values decreased from 2.7 to 2.6 mL/min/g (P = 0.01) and from 2.4 to 2.3 (P = 0.03), respectively. No significant differences were found for the LCX territory in stress (P = 0.3) nor in the rest scans (P ≥ 0.11). In the 54 patients with myocardial creep, 45 (83%) had a change > 10% in MBF and 45 (83%) had a change > 10% in MFR in one of the territories or the whole myocardium.

Table 2.

Uncorrected and corrected rest and stress MBF (mL/min/g) and MFR values for the three vascular territories (LAD, LCX, and RCA) and the whole myocardium (Global)

Vessel Rest MBF Stress MBF MFR
LAD Uncorrected 1.2 ± 0.4 (0.5 to 2.7) 2.5 ± 0.9 (0.7 to 5.8) 2.2 ± 0.5 (1.2 to 3.4)
Corrected 1.2 ± 0.4 (0.5 to 2.7) 2.6 ± 0.9* (0.8 to 5.6) 2.3 ± 0.6** (1.4 to 3.8)
LCX Uncorrected 1.1 ± 0.4 (0.6 to 2.6) 2.5 ± 0.9 (0.8 to 4.8) 2.3 ± 0.7 (0.7 to 5.1)
Corrected 1.1 ± 0.4 (0.6 to 2.6) 2.5 ± 0.8 (0.7 to 5.4) 2.3 ± 0.6 (0.7 to 3.7)
RCA Uncorrected 1.2 ± 0.5 (0.6 to 2.7) 4.0 ± 2.3 (1.0 to 9.0) 3.5 ± 1.9 (0.8 to 11)
Corrected 1.2 ± 0.4 (0.6 to 2.7) 2.7 ± 1.1*** (0.8 to 7.4) 2.4 ± 0.8*** (0.9 to 5.2)
Global Uncorrected 1.2 ± 0.4 (0.6 to 2.7) 2.7 ± 1.0 (1.0 to 5.7) 2.4 ± 0.7 (1.1 to 5.6)
Corrected 1.1 ± 0.4 (0.6 to 2.7) 2.6 ± 0.9* (0.9 to 5.7) 2.3 ± 0.6* (1.1 to 4.1)

Data are presented as mean ± SD

LAD, left anterior descending; LCX, left circumflex; MBF, myocardial blood flow; MFR, myocardial flow reserve; RCA, right coronary artery

*P < 0.05; *P < 0.01; ***P < 0.001

Figure 3.

Figure 3

Boxplots showing (A) the rest and (B) stress myocardial blood flows (MBFs) and (C) myocardial flow reserves (MFRs) for the three vascular territories and for the whole myocardium (Global) for the 54 uncorrected and myocardial creep corrected-scans. (D) The stress MBF of the RCA with each point representing one patient scan before and after correction showing MBF decreases in 91% (49/54) of the patients after correction

Discussion

In this study, we have demonstrated that a myocardial creep occurs in more than half of the patients during regadenoson-induced stress MPI using Rb-82 PET. Moreover, correction of this myocardial creep resulted in significantly lower MBF and MFR values for the RCA territory and may improve diagnostic accuracy. Besides the large impact on MBF and MFR values in the RCA territory, myocardial creep also resulted in significant differences in stress MBF and MFR values for the LAD and the whole myocardium. These differences can be explained by the anatomic position and direction of myocardial creep, as illustrated in Figure 4. During the first-pass phase when the Rb-82 activity is in the LV, there is a strong overlap between the activity and the part of the myocardium contour that is perfused by the RCA and to a lesser extent by the LAD when myocardial creep is present. After correction, the overlap diminishes, which directly affects the MBF and MFR measurements.

Figure 4.

Figure 4

Proper alignment of the automatically drawn myocardium contour and the activity in the heart is shown in A. In case of myocardial creep, there is a misalignment of the drawn myocardium contour with the activity in the heart, as shown in B. This results in increased measured activity in the RCA and partly in the LAD territory

Multiple studies have reported the occurrence of myocardial creep, also known as non-returning motion of the heart, primarily occurring in the post-stress period during MPI using different pharmacological vasodilators.19,23,24,27,28 A recent study by Memmot et al. reported a non-returning motion or myocardial creep in 36% (11/30) of their patients during MPI using Rb-82 PET and regadenoson as vasodilator independent of age.19 This percentage is in fair agreement with the 52% found in this study, although we used a different methodology to assess the presence of myocardial creep and a slightly different time-framing combination. Furthermore, they showed that 69% (11/16) of the patients stressed with regadenoson with visible motion were categorized as myocardial creep which is in fair agreement to the 78% (54/69) found in our study. Moreover, they reported that only 10% (3/30) of their patients showed significant motion, which was defined as motion greater than half the width of the myocardial wall. Although we did not assess severity or amount of myocardial creep, we did observe that correcting for myocardial creep majorly affected the MBF quantification in most patients and presumably also in patients with only a limited amount of myocardial creep. Lee et al. recently reported that greater motion was observed during stress, especially in the inferior direction which reflects myocardial creep which is in high agreement with our study.28 They also reported that motion resulted in the largest changes in the MBF and MFR in the RCA territory, consistent with our results.

Multiple mechanisms are hypothesized in the literature to explain the occurrence of myocardial creep. Karacalioglu et al. hypothesised that myocardial creep is caused by gravity on the organs when patients switch from a standing to a lying position in the scanner. They reported that a five-minute bed rest on the scanner table significantly decreased the vertical motion of the heart.29 A CT-scan followed by the rest scan was performed before the stress scan in our protocol. Therefore, the mechanism described above does not explain the myocardial creep we found during stress imaging. Although this gravity theory might explain myocardial creep during rest acquisitions, we observed myocardial creep in only 2% of the rest scans and therefore think this is most likely caused by anxiety at the start of a MPI scan.30

Another mechanism previously described by Friedman et al. which is more likely to cause myocardial creep is that after administration of a pharmacological vasodilator, in our case regadenoson, lung volume increases which causes a repositioning of the diaphragm and heart.24 Hence, we are unable to prevent this repositioning of the heart and thus the occurrence of myocardial creep.

Several limitations of this study should be recognized. First, we were unable to determine the effect of myocardial creep correction on the diagnostic accuracy due to the lack of a reference standard. However, in some patients myocardial creep resulted in unrealistic high MBF values (>5 mL/min/g) which decreased after correction to realistic values. Hence, we assume that correcting for myocardial creep increases diagnostic reliability.

Second, manual actions are required in the quantification process and for the myocardial creep correction which could have introduced additional operator variability. Although this operator variability might have introduced additional variance, the changes in stress MBF quantification were higher than the previously reported ± 10% test-re-test reproducibility errors when calculating the MBF using Rb-82 PET in MPI.31 Thus, the operator variability is expected to be of limited influence.

Third, a high fraction of the patients had a normal MBF, possibly limiting generalization. However, in case of the poorly perfused tissue with myocardial creep, the influence of spillover from the LV is expected to be larger than that for the normal perfused tissue resulting in a relatively larger overestimation of the modeling parameter k1 and, hence, MBF.28 This could result in larger differences between MBF values in the RCA territory before and after myocardial creep correction than those reported in this study.

Finally, we only corrected the myocardial creep in the attenuation-corrected PET images. However, only the PET data acquired between 2:30 and 7:00 minutes were co-registered to the CT to create an attenuation map. As myocardial creep only occurs in the earlier time frames, misregistration and, hence, attenuation-correction artifacts may occur. This misregistration could result in altered MBF measurements.32-35 Adding a second low-dose CT-scan immediately before the stress PET acquisition is unlikely to improve PET/CT registration as the myocardial creep misregistration occurs after induction of stress and is only temporary. However, we believe that frame-based co-registration of the stress-PET and CT data can improve PET/CT registration and thereby the reliability of Rb-82 PET quantification in patients with myocardial creep.28

New Knowledge Gained

If myocardial creep is present but remains uncorrected in clinical practice, the stress MBF and MFR of the RCA territory will be overestimated, as shown in Figure 3D, which can lead to incorrect diagnosis. The MFR of the RCA may fall within the normal range of the MFR values (> 1.7), while after correcting for myocardial creep, the MFR drops below this threshold, affecting the diagnosis.3 Moreover, Memmot et al. showed that myocardial creep occurs more frequently when adenosine is used as pharmacological vasodilator (96%) in comparison with regadenoson (69%).19 Therefore, we strongly recommend to check the presence of myocardial creep in all patients regardless of the used pharmacological vasodilator and correct for it to achieve reliable MBF and MFR measurements.

There are two practical ways to recognize myocardial creep in clinical practice. The first sign is an elevated time activity concentration of the RCA during the first-pass phase in the TAC in comparison with the LCX and LAD. As no activity is yet present in the myocardium, the whole activity measured in this phase is due to spillover and should therefore be constant across the three vascular territories, as shown in Figure 1. The second sign is the misalignment between the automatically drawn myocardium contour and the observed activity during the first-pass phase. As in 83% of our patients with myocardial creep an MBF change >10% occurred after correction, this implies that even a small myocardial creep should be corrected in clinical practice.

Conclusions

Myocardial creep was seen in 52% of the patients who underwent regadenoson-induced stress Rb-82 PET. Correcting for myocardial creep significantly changed MBF measurements during stress and MFR quantification, especially in the RCA territory. As this may hamper diagnostic accuracy, detection and correction of myocardial creep seem necessary for reliable quantification when using regadenoson.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Acknowledgments

Disclosures

None of the authors have anything to disclose.

Abbreviations

BMI

Body mass index

LAD

Left anterior descending

LCX

Left circumflex

MBF

Myocardial blood flow

MFR

Myocardial flow reserve

MPI

Myocardial perfusion imaging

PET

Positron emission tomography

Rb-82

Rubidium-82

RCA

Right coronary artery

TAC

Time activity curve

Footnotes

The authors of this article have provided a PowerPoint file, available for download at SpringerLink, which summarises the contents of the paper and is free for re-use at meetings and presentations. Search for the article DOI on SpringerLink.com.

JNC thanks Erick Alexanderson MD, Carlos Guitar MD, and Diego Vences MD, UNAM, Mexico, for providing the Spanish abstract; Haipeng Tang MS, Zhixin Jiang MD, and Weihua Zhou PhD, for providing the Chinese abstract; and Jean-Luc Urbain, MD, PhD, CPE, Past President CANM, Chief Nuclear Medicine, Lebanon VAMC, PA, for providing the French abstract.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.Saraste A, Kajander S, Han C, Nesterov SV, Knuuti J. PET: Is myocardial flow quantification a clinical reality? J Nucl Cardiol. 2012;19:1044–1059. doi: 10.1007/s12350-012-9588-8. [DOI] [PubMed] [Google Scholar]
  • 2.deKemp RA, Yoshinaga K, Beanlands RSB. Will 3-dimensional PET-CT enable the routine quantification of myocardial blood flow? J Nucl Cardiol 2007;14:380-397. [DOI] [PubMed]
  • 3.Sciagrà R, Passeri A, Bucerius J, Verberne HJ, Slart RHJA, Lindner O, et al. Clinical use of quantitative cardiac perfusion PET: rationale, modalities and possible indications. Position paper of the Cardiovascular Committee of the European Association of Nuclear Medicine (EANM). Eur J Nucl Med Mol Imaging 2016;43:1530-1545. [DOI] [PubMed]
  • 4.Ziadi MC, DeKemp RA, Williams K, Guo A, Renaud JM, Chow BJW, et al. Does quantification of myocardial flow reserve using rubidium-82 positron emission tomography facilitate detection of multivessel coronary artery disease? J Nucl Cardiol. 2012;19:670–680. doi: 10.1007/s12350-011-9506-5. [DOI] [PubMed] [Google Scholar]
  • 5.Parkash R, deKemp RA, Ruddy TD, Kitsikis A, Hart R, Beauschene L, et al. Potential utility of rubidium 82 PET quantification in patients with 3-vessel coronary artery disease. J Nucl Cardiol. 2004;11:440–449. doi: 10.1016/j.nuclcard.2004.04.005. [DOI] [PubMed] [Google Scholar]
  • 6.Santana CA, Folks RD, Garcia EV, Verdes L, Sanyal R, Hainer J, et al. Quantitative (82)Rb PET/CT: development and validation of myocardial perfusion database. J Nucl Med. 2007;48:1122–1128. doi: 10.2967/jnumed.107.039750. [DOI] [PubMed] [Google Scholar]
  • 7.Machac J. Radiopharmaceuticals for clinical cardiac PET imaging. Card. PET PET/CT imaging. New York: Springer; 2007. pp. 73–82. [Google Scholar]
  • 8.Cerqueira MD, Verani MS, Schwaiger M, Heo J, Iskandrian AS. Safety profile of adenosine stress perfusion imaging: Results from the adenoscan multicenter trial registry. J Am Coll Cardiol. 1994;23:384–389. doi: 10.1016/0735-1097(94)90424-3. [DOI] [PubMed] [Google Scholar]
  • 9.Ranhosky A, Kempthorne-Rawson J. The safety of intravenous dipyridamole thallium myocardial perfusion imaging. Intravenous Dipyridamole Thallium Imaging Study Group. Circulation 1990;81:1205-9. [DOI] [PubMed]
  • 10.Iskandrian AE, Bateman TM, Belardinelli L, Blackburn B, Cerqueira MD, Hendel RC, et al. Adenosine versus regadenoson comparative evaluation in myocardial perfusion imaging: Results of the ADVANCE phase 3 multicenter international trial. J Nucl Cardiol. 2007;14:645–658. doi: 10.1016/j.nuclcard.2007.06.114. [DOI] [PubMed] [Google Scholar]
  • 11.Jager PL, Buiting M, Mouden M, Oostdijk AHJ, Timmer J, Knollema S. Regadenoson as a new stress agent in myocardial perfusion imaging. Initial experience in The Netherlands. Rev Esp Med Nucl Imagen Mol 2014;33:346-351. [DOI] [PubMed]
  • 12.Cerqueira MD, Nguyen P, Staehr P, Underwood SR, Iskandrian AE. Effects of age, gender, obesity, and diabetes on the efficacy and safety of the selective A2A agonist regadenoson versus Adenosine in myocardial perfusion imaging. Integrated ADVANCE-MPI Trial Results. JACC Cardiovasc Imaging 2008;1:307-316. [DOI] [PubMed]
  • 13.Johnson SG, Peters S. Advances in pharmacologic stress agents: Focus on regadenoson. J Nucl Med Technol. 2010;38:163–171. doi: 10.2967/jnmt.109.065581. [DOI] [PubMed] [Google Scholar]
  • 14.Belardinelli L, Shryock JC, Snowdy S, Zhang Y, Monopoli A, Lozza G, et al. The A2A adenosine receptor mediates coronary vasodilation. J Pharmacol Exp Ther. 1998;284:1066–1073. [PubMed] [Google Scholar]
  • 15.Hendel RC, Bateman TM, Cerqueira MD, Iskandrian AE, Leppo JA, Blackburn B, et al. Initial clinical experience with regadenoson, a novel selective A 2A agonist for pharmacologic stress single-photon emission computed tomography myocardial perfusion imaging. J Am Coll Cardiol. 2005;46:2069–2075. doi: 10.1016/j.jacc.2005.05.097. [DOI] [PubMed] [Google Scholar]
  • 16.Cullom SJ, Case JA, Courter SA, McGhie AI, Bateman TM. Regadenoson pharmacologic rubidium-82 PET: A comparison of quantitative perfusion and function to dipyridamole. J Nucl Cardiol. 2013;20:76–83. doi: 10.1007/s12350-012-9636-4. [DOI] [PubMed] [Google Scholar]
  • 17.Hsiao E, Ali B, Blankstein R, Skali H, Ali T, Bruyere J, Jr, et al. Detection of obstructive coronary artery disease using regadenoson stress and Rb-82 PET/CT myocardial perfusion imaging. J Nucl Med. 2013;54:1748–1754. doi: 10.2967/jnumed.113.120063. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Goudarzi B, Fukushima K, Bravo P, Merrill J, Bengel FM. Comparison of the myocardial blood flow response to regadenoson and dipyridamole: A quantitative analysis in patients referred for clinical 82Rb myocardial perfusion PET. Eur J Nucl Med Mol Imaging. 2011;38:1908–1916. doi: 10.1007/s00259-011-1853-6. [DOI] [PubMed] [Google Scholar]
  • 19.Memmott MJ, Tonge CM, Saint KJ, Arumugam P. Impact of pharmacological stress agent on patient motion during rubidium-82 myocardial perfusion PET/CT. J Nucl Cardiol 2017;1-10. [DOI] [PubMed]
  • 20.Hunter CRRN, Klein R, Beanlands RS, deKemp RA. Patient motion effects on the quantification of regional myocardial blood flow with dynamic PET imaging. Med Phys. 2016;43:1829–1840. doi: 10.1118/1.4943565. [DOI] [PubMed] [Google Scholar]
  • 21.Koshino K, Watabe H, Enmi J, Hirano Y, Zeniya T, Hasegawa S, et al. Effects of patient movement on measurements of myocardial blood flow and viability in resting 15O-water PET studies. J Nucl Cardiol. 2012;19:524–533. doi: 10.1007/s12350-012-9522-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Murthy VL, Bateman TM, Beanlands RS, Berman DS, Borges-Neto S, Chareonthaitawee P, et al. Clinical quantification of myocardial blood flow using PET: Joint position paper of the SNMMI cardiovascular council and the ASNC. J Nucl Cardiol. 2018;25:269–297. doi: 10.1007/s12350-017-1110-x. [DOI] [PubMed] [Google Scholar]
  • 23.Piccinelli M, Votaw JR, Garcia EV. Motion correction and its impact on absolute myocardial blood flow measures with PET. Curr Cardiol Rep. 2018;20:34. doi: 10.1007/s11886-018-0977-8. [DOI] [PubMed] [Google Scholar]
  • 24.Friedman J, Van Train K, Maddahi J, Rozanski A, Prigent F, Bietendorf J, et al. Upward creep of the heart: a frequent source of false-positive reversible defects during thallium-201 stress-redistribution SPECT. J Nucl Med. 1989;30:1718–1722. [PubMed] [Google Scholar]
  • 25.Lortie M, Beanlands RSB, 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. doi: 10.1007/s00259-007-0478-2. [DOI] [PubMed] [Google Scholar]
  • 26.van Dijk JD, Jager PL, van Dalen JA. Pitfalls in myocardial blood flow quantification with rubidium-82 PET. Tijdschr voor Nucl Geneeskd 2017;39:1822-1829.
  • 27.Votaw JR, Packard RRS. Technical aspects of acquiring and measuring myocardial blood flow: Method, technique, and QA. J Nucl Cardiol 2017;1-6. [DOI] [PMC free article] [PubMed]
  • 28.Lee BC, Moody JB, Poitrasson-Rivière A, Melvin AC, Weinberg RL, Corbett JR, et al. Blood pool and tissue phase patient motion effects on 82rubidium PET myocardial blood flow quantification. J Nucl Cardiol 2018;1-12. [DOI] [PMC free article] [PubMed]
  • 29.Karacalioglu AO, Jata B, Kilic S, Arslan N, Ilgan S, Ozguven MA. A physiologic approach to decreasing upward creep of the heart during myocardial perfusion imaging. J Nucl Med Technol. 2006;34:215–219. [PubMed] [Google Scholar]
  • 30.van Dijk JD, van Dalen JA, Mouden M, Ottervanger JP, Knollema S, Slump CH, et al. Value of automatic patient motion detection and correction in myocardial perfusion imaging using a CZT-based SPECT camera. J Nucl Cardiol 2016;1-10. [DOI] [PMC free article] [PubMed]
  • 31.Kitkungvan D, Johnson NP, Roby AE, Patel MB, Kirkeeide R, Gould KL. Routine clinical quantitative rest stress myocardial perfusion for managing coronary artery disease: Clinical relevance of test-retest variability. JACC Cardiovasc Imaging. 2017;10:565–577. doi: 10.1016/j.jcmg.2016.09.019. [DOI] [PubMed] [Google Scholar]
  • 32.Rajaram M, Tahari AK, Lee AH, Lodge MA, Tsui B, Nekolla S, et al. Cardiac PET/CT misregistration causes significant changes in estimated myocardial blood flow. J Nucl Med. 2013;54:50–54. doi: 10.2967/jnumed.112.108183. [DOI] [PubMed] [Google Scholar]
  • 33.Martinez-Möller 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. [PubMed] [Google Scholar]
  • 34.Loghin C, Sdringola S, Gould KL. Common artifacts in PET myocardial perfusion images due to attenuation-emission misregistration: clinical significance, causes, and solutions. J Nucl Med. 2004;45:1029–1039. [PubMed] [Google Scholar]
  • 35.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. doi: 10.2967/jnumed.107.039792. [DOI] [PubMed] [Google Scholar]

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