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Research ArticleSpecial Contribution

Clinical Quantification of Myocardial Blood Flow Using PET: Joint Position Paper of the SNMMI Cardiovascular Council and the ASNC

Venkatesh L. Murthy, Timothy M. Bateman, Rob S. Beanlands, Daniel S. Berman, Salvador Borges-Neto, Panithaya Chareonthaitawee, Manuel D. Cerqueira, Robert A. deKemp, E. Gordon DePuey, Vasken Dilsizian, Sharmila Dorbala, Edward P. Ficaro, Ernest V. Garcia, Henry Gewirtz, Gary V. Heller, Howard C. Lewin, Saurabh Malhotra, April Mann, Terrence D. Ruddy, Thomas H. Schindler, Ronald G. Schwartz, Piotr J. Slomka, Prem Soman and Marcelo F. Di Carli
Journal of Nuclear Medicine February 2018, 59 (2) 273-293; DOI: https://doi.org/10.2967/jnumed.117.201368
Venkatesh L. Murthy
1Frankel Cardiovascular Center, Division of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan
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Timothy M. Bateman
2Mid America Heart Institute, Kansas City, Missouri
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Rob S. Beanlands
3National Cardiac PET Centre, Division of Cardiology, University of Ottawa Heart Institute, Ottawa, Ontario, Canada
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Daniel S. Berman
4Departments of Imaging and Medicine, Cedars-Sinai Medical Center, Los Angeles, California
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Salvador Borges-Neto
5Division of Nuclear Medicine, Department of Radiology, and Division of Cardiology, Department of Medicine, Duke University School of Medicine, Duke University Health System, Durham, North Carolina
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Panithaya Chareonthaitawee
6Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota
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Manuel D. Cerqueira
7Department of Nuclear Medicine, Cleveland Clinic, Cleveland, Ohio
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Robert A. deKemp
3National Cardiac PET Centre, Division of Cardiology, University of Ottawa Heart Institute, Ottawa, Ontario, Canada
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E. Gordon DePuey
8Division of Nuclear Medicine, Department of Radiology, Mt. Sinai St. Luke’s and Mt. Sinai West Hospitals, Icahn School of Medicine at Mt. Sinai, New York, New York
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Vasken Dilsizian
9Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland
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Sharmila Dorbala
10Cardiovascular Imaging Program, Brigham and Women’s Hospital, Boston, Massachusetts
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Edward P. Ficaro
11Division of Nuclear Medicine, University of Michigan, Ann Arbor, Michigan
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Ernest V. Garcia
12Department of Radiology and Imaging Sciences, Emory University, Atlanta, Georgia
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Henry Gewirtz
13Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
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Gary V. Heller
14Gagnon Cardiovascular Institute, Morristown Medical Center, Morristown, NJ, USA
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Howard C. Lewin
15Cardiac Imaging Associates, Los Angeles, California
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Saurabh Malhotra
16Division of Cardiovascular Medicine, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York
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April Mann
17Hartford Hospital, Hartford, Connecticut
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Terrence D. Ruddy
3National Cardiac PET Centre, Division of Cardiology, University of Ottawa Heart Institute, Ottawa, Ontario, Canada
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Thomas H. Schindler
18Division of Nuclear Medicine, Department of Radiology, Johns Hopkins School of Medicine, Baltimore, Maryland
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Ronald G. Schwartz
19Cardiology Division, Department of Medicine, and Nuclear Medicine Division, Department of Imaging Sciences, University of Rochester Medical Center, Rochester, New York; and
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Piotr J. Slomka
4Departments of Imaging and Medicine, Cedars-Sinai Medical Center, Los Angeles, California
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Prem Soman
20Division of Cardiology, Heart and Vascular Institute, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
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Marcelo F. Di Carli
10Cardiovascular Imaging Program, Brigham and Women’s Hospital, Boston, Massachusetts
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  • FIGURE 1.
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    FIGURE 1.

    Radiotracer unidirectional extraction fractions (A) used with compartmental modeling of tracer uptake rates K1 (C), and radiotracer retention fractions (B) used with simplified retention modeling of tracer net uptake (D). Underlying data were obtained from previous publications (14,22,221,228,229). Limited data suggest that properties of 18F-flurpiridaz are similar to those of 13N-ammonia. Shaded regions represent variability in reported values.

  • FIGURE 2.
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    FIGURE 2.

    Polar maps demonstrating MBF, uptake, and retention along with their relationship to traditional relative MPI in example using 13N-ammonia. Uptake of tracer is determined by local MBF. However, because most PET tracers have incomplete extraction at higher MBFs, tracer uptake in high-MBF regions may be reduced (note that intense red regions on MBF image are less intense on uptake image). Furthermore, tracer retention is usually limited in high-MBF regions. Consequently, contrast between high- and low-MBF regions is further reduced on retention images. Standard myocardial perfusion images are produced by normalizing retention images such that regions of greatest retention are scaled to 100%. This does not restore contrast between defect and normal regions. MBF quantification restores contrast and adds absolute scale (mL/min/g).

  • FIGURE 3.
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    FIGURE 3.

    Decay of typical 370-MBq (10 mCi) dose of 13N-ammonia (solid black line) and 1,665-MBq (45 mCi) dose of 82Rb (dashed line). Because of the ultrashort half-life of 82Rb, higher activities must be administered to ensure reasonable counting rates during delayed tissue-phase imaging (blue region) for generation of gated and static images for MPI interpretation. However, this results in high counting rates during blood-pool phase (green region) and the potential for detector saturation. Actual threshold for detector saturation will vary with scanner performance.

  • FIGURE 4.
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    FIGURE 4.

    Example 82Rb stress PET study quality assurance for PET quantification of MBF, including orientation of left ventricular long axis (A), sampling of myocardium and arterial blood regions (B), motion detection, dynamic time–activity curves and kinetic modeling curve-fit (C), regional MBF (FLOW) and total blood volume (TBV) maps, as well as χ2 and R2 goodness-of-fit metrics (D).

  • FIGURE 5.
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    FIGURE 5.

    Test–retest dynamic 82Rb PET MBF scans acquired at 3 and 13 min after dipyridamole stress. Typical injection profile (A) is shown with single peak of blood input curve (red) at ∼30 s after scan start time. Poor-quality injection profile (B) shows delayed rise and double-peak of blood input curve, suggesting partial obstruction of intravenous line during tracer administration. Tracer uptake curves (dark blue) and polar maps (activity) are similar after 3–6 min, suggesting that full 82Rb dose was eventually delivered. However, inconsistent curve shapes result in markedly different MBF estimates (3.7 vs. 2.3 mL/min/g), as derived from blood-pool-spillover– and partial-volume–corrected tissue curves (cyan).

  • FIGURE 6.
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    FIGURE 6.

    Clinical utility of blood flow quantification. In this example, from 81-y-old man with hypertension and dyslipidemia, relative MPI (A) with 82Rb PET demonstrated only mild, reversible perfusion abnormality involving distribution of left anterior descending coronary artery. However, MFR was severely reduced globally at 1.11. Nearly entire heart had severely reduced MFR except for inferior and inferolateral walls, where it was only moderately reduced. Coronary angiography (B) showed severe stenosis of mid portion of left main coronary artery.

  • FIGURE 7.
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    FIGURE 7.

    Receiver-operator characteristic curves for detection of severe CAD using MFR. As the threshold for abnormal MFR is decreased from 3.0 to 0.5, sensitivity for high-risk CAD (2-vessel disease including proximal left anterior descending artery, 3-vessel disease, and left main coronary artery) decreases (blue line). Conversely, with lower thresholds for defining abnormal MFR, specificity progressively increases (red line). (Adapted from Naya et al. (91).)

  • FIGURE 8.
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    FIGURE 8.

    Relationship between MFR and risk of cardiac death. Regardless of which 82Rb tracer kinetic model is used, similar pattern of rising risk with MFR < 2 is seen. 1:1 indicates fictitious 100% extraction (MBF = K1), which approximates assumptions for myocardial perfusion reserve index. (Adapted from Murthy et al. (54).)

  • FIGURE 9.
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    FIGURE 9.

    Comparison of physiologic basis of FFR and MFR. FFR is affected by focal stenosis and diffuse atherosclerosis of coronary macrocirculation, whereas index of microcirculatory resistance (IMR) reflects disease of smaller vessels. However, because intact arteriolar microcirculation is required for action of adenosine, FFR may be falsely reassuring in setting of microvascular dysfunction. MFR and CFR integrate entire coronary circulation. (Derived from De Bruyne et al. (230).)

Tables

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    TABLE 1

    Properties of Radiotracers Used for PET MBF Quantification

    Property82Rb-chloride13N-ammonia15O-water18F-flurpiridaz
    Isotope production methodGeneratorCyclotronCyclotronCyclotron
    Isotope half-life (min)1.27102.0110
    Positron range (mm) RMS2.60.571.00.23
    Image resolution (mm) FWHM8565
    Effective dose (mSv/GBq)12120
    Peak stress/rest* extraction (%)35/7095/10010095/100
    Peak stress/rest* retention (%)25/7050/90055/90
    Spillover from adjacent organsStomach wallLiver and lungLiverEarly liver
    Regulatory statusFDA-approved; 2 suppliersFDA-approved; ANDA required for onsite productionNot FDA-approvedPhase 3 trials partially completed
    Typical rest dose for 3D/2D (mCi†)30/4510/1520/302/3
    Typical stress dose for 3D/2D (mCi†)30/4510/1520/306/7
    Protocol featuresRapid protocolPermits exercise‡; delay of 4–5 half-lives between rest and stress unless different doses usedRapid protocol; no tracer retention for routine MPIPermits exercise‡; different doses for rest and stress required
    • ↵* Peak stress = 3–4 mL/min/g, rest = 0.75–1.0 mL/min/g.

    • ↵† 1 mCi = 37 MBq.

    • ↵‡ Exercise protocols do not allow quantification of MBF.

    • RMS = root mean square (standard) deviation; FWHM = full width at half maximum achievable using PET scanner with 5-mm spatial resolution; FDA = Food and Drug Administration; ANDA = abbreviated new drug application.

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    TABLE 2

    Stress Pharmaceuticals Used in PET MPI

    AgentDose and administrationTiming of radiotracer injectionRoute of radiotracer administration
    Adenosine140 mg/kg/min intravenous infusion for 4–6 minMid infusionTwo intravenous lines are preferred to prevent mid-infusion interruption of adenosine
    Dipyridamole0.56 mg/kg intravenous infusion over 4 min3–5 min after completion of infusionSingle intravenous line for both stress agent and radioisotope
    Regadenoson0.4-mg rapid intravenous bolus (over 10 s)Immediately after 10-mL saline flush*Single intravenous line for both stress agent and radioisotope
    DobutamineStepwise increase in infusion from 5 or 10 μg/kg/min up to 40 μg/kg/min to achieve >85% predicted heart rate; atropine boluses may be used to augment heart rate responseOnce target heart rate is achieved; continue dobutamine infusion for 1–2 min after radiotracer injectionSingle intravenous line for both stress agent and radioisotope
    • ↵* One recent study has suggested that injection of 82Rb at 55 s, compared with 10 s, after injection of regadenoson resulted in greater maximal hyperemic MBF (2.33 ± 0.57 vs. 1.79 ± 0.44 mL/min/g) and correlated better with hyperemic MBF with dipyridamole (2.27 ± 0.57 mL/min/g) (211).

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    TABLE 3

    MBF and MFR Reference Ranges for 13N-Ammonia PET

    PublicationSample size (n)Age (y)Stress agentRest MBF (mL/min/g)Stress MBF (mL/min/g)MFR
    Hutchins et al. (212)724 ± 4Dipyridamole0.88 ± 0.174.17 ± 1.124.80 ± 1.30
    Chan et al. (213)2035 ± 16Dipyridamole1.10 ± 0.204.33 ± 1.304.00 ± 1.30
    Czernin et al. (67)1831 ± 9Dipyridamole0.76 ± 0.253.00 ± 0.804.1 ± 0.90
    Czernin et al. (38)1127 ± 7DipyridamoleNR2.13 ± 0.28NR
    Nagamachi et al. (21)3033 ± 15Dipyridamole/adenosine0.62 ± 0.142.01 ± 0.39NR
    Yokoyama et al. (163)1456 ± 10Dipyridamole0.70 ± 0.172.86 ± 1.204.13 ± 1.38
    Böttcher et al. (214)1024 ± 5Dipyridamole0.61 ± 0.091.86 ± 0.273.16 ± 0.80
    Campisi et al. (215)1062 ± 6Dipyridamole0.68 ± 0.162.04 ± 0.303.16 ± 0.85
    Nitzsche et al. (216)1528 ± 12Adenosine0.64 ± 0.092.63 ± 0.75NR
    Dayanikli et al. (159)1148 ± 8Adenosine0.68 ± 0.802.64 ± 0.394.27 ± 0.52
    Sawada et al. (73)636 ± 14Adenosine0.71 ± 0.122.49 ± 0.743.50 ± 0.69
    Beanlands et al. (86)527 ± 4Adenosine0.62 ± 0.092.51 ± 0.274.10 ± 0.71
    Muzik et al. (217)1026 ± 6Adenosine0.77 ± 0.163.40 ± 0.574.60 ± 0.90
    Muzik et al. (88)2044 ± 11Adenosine0.67 ± 0.112.85 ± 0.494.28 ± 0.65
    Lortie et al. (22)14NRDipyridamole0.69 ± 0.092.71 ± 0.504.25 ± 0.91
    DeGrado et al. (218)8NRDipyridamole0.76 ± 0.172.68 ± 0.753.61 ± 1.06
    Tawakol et al. (71)7NRAdenosine0.70 ± 0.193.51 ± 0.84NR
    Schindler et al. (219)2137 ± 13Dipyridamole0.61 ± 0.122.04 ± 0.37NR
    Quercioli et al. (70)2143 ± 11Dipyridamole0.71 ± 0.102.37 ± 0.493.38 ± 0.67
    Valenta et al. (220)2638 ± 10Dipyridamole0.71 ± 0.132.29 ± 0.513.28 ± 0.70
    Prior et al. (68)5042 ± 13Dipyridamole/adenosine0.64 ± 0.121.98 ± 0.443.40 ± 1.00
    Renaud et al. (221)1431 ± 6Dipyridamole0.68 ± 0.122.86 ± 1.144.15 ± 1.57
    Slomka et al. (27)15NRAdenosine0.85 ± 0.162.77 ± 0.653.39 ± 1.22
    Weighted mean363 (total)37.60.712.583.54
    • NR = not reported.

    • View popup
    TABLE 4

    MBF and MFR Reference Ranges for 82Rb PET

    PublicationSample size (n)Age (y)Stress agentRest MBF (mL/min/g)Stress MBF (mL/min/g)MFR
    Lin et al. (222)11NRDipyridamole1.15 ± 0.462.50 ± 0.54NR
    Lortie et al. (22)14NRDipyridamole0.69 ± 0.142.83 ± 0.814.25 ± 1.37
    Manabe et al. (223)1529 ± 9Adenosine triphosphate0.77 ± 0.253.35 ± 1.374.47 ± 1.47
    Prior, et al. (224)2230 ± 13Adenosine1.03 ± 0.423.82 ± 1.213.88 ± 0.91
    Sdringola et al. (225)5630 ± 13Dipyridamole0.72 ± 0.172.89 ± 0.504.17 ± 0.80
    Johnson et al. (171)24128 ± 5Dipyridamole0.70 ± 0.152.71 ± 0.584.02 ± 0.85
    Germino et al. (226)928 ± 6Regadenoson0.92 ± 0.193.65 ± 0.64NR
    Renaud et al. (221)1431 ± 6Dipyridamole0.73 ± 0.152.96 ± 0.894.32 ± 1.39
    Weighted mean382 (total)28.60.742.864.07
    • NR = not reported.

    • View popup
    TABLE 5

    Clinical Studies of Prognostic Value of Quantitative PET Blood Flow Estimates

    StudySubjects (n)PopulationFollow-up duration (y)Primary endpointRadiotracerAdjusted covariatesHazard ratio
    Herzog et al. (49)256Suspected myocardial ischemia5.4MACE13N-ammoniaAge, diabetes, smoking, abnormal perfusion (binary)1.6 (MFR < 2.0 vs. ≥ 2.0)
    Tio et al. (94)344Ischemic heart disease7.1Cardiac death13N-ammoniaAge, sex4.1 (per 0.5 MFR)
    Slart et al. (93)119PET-driven revascularization7.3Cardiac death13N-ammoniaAge, sex23.6 (MFR < 1.34 vs. > 1.67); 8.3 (MFR 1.34–1.67 vs. > 1.67)
    Murthy et al. (50)2,783Clinically indicated PET1.4Cardiac death82RbAge, sex, hypertension, dyslipidemia, diabetes, family history of premature CAD, tobacco use, history of CAD, body mass index, chest pain, dyspnea, early revascularization, rest LVEF, summed stress score, LVEF reserve5.6 (MFR < 1.5 vs. > 2.0); 3.4 (MFR 1.5–2.0 vs. > 2.0)
    Fukushima et al. (92)224Clinically indicated PET1.0MACE82RbAge, summed stress score (dichotomized > 4)2.9 (MFR < 2.11 vs. ≥ 2.11)
    Ziadi et al. (53)677Clinically indicated PET1.1MACE82RbHistory of MI, stress LVEF, summed stress score (dichotomized ≥ 4)3.3 (MFR < 2.0 vs. > 2.0)
    Farhad et al. (227)318Suspected myocardial ischemia1.7MACE82RbSummed stress score0.41 per mL/min/g stress MBF
    • MACE = major adverse cardiac events (cardiac death, nonfatal MI, late revascularization, cardiac hospitalization); LVEF = left ventricular ejection fraction; MI = myocardial infarction.

    • View popup
    TABLE 6

    Reporting MFR in Clinical Practice*

    Report MFR any time MFR adds value toward diagnosis or stratificationBe cautious reporting MFR† when MFR provides no diagnostic or prognostic value, might confuse management, or might lead to unnecessary tests
    Normal perfusion, high normal MFRHistory of conditions known to impair long-term microvascular function
    Abnormal perfusion with more severely or diffusely reduced MFR than expectedChronic renal failure
    Microvascular measurements specifically requestedPrior coronary artery bypass grafting
    Assessment of hemodynamic significance of lesion specifically requestedGlobal left ventricular dysfunction (suspected cardiomyopathy)
    Accurate MFR measurement not possible or might be misleading
    Large prior myocardial infarction
    Suspected caffeine/methylxanthine ingestion
    • ↵* Adapted from Juneau et al. (178).

    • ↵† Depending on experience of lab and understanding of MBF and MFR concepts of referring provider, it may be appropriate to not report findings under these circumstances to avoid confusion and potentially unnecessary subsequent testing.

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Journal of Nuclear Medicine: 59 (2)
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Clinical Quantification of Myocardial Blood Flow Using PET: Joint Position Paper of the SNMMI Cardiovascular Council and the ASNC
Venkatesh L. Murthy, Timothy M. Bateman, Rob S. Beanlands, Daniel S. Berman, Salvador Borges-Neto, Panithaya Chareonthaitawee, Manuel D. Cerqueira, Robert A. deKemp, E. Gordon DePuey, Vasken Dilsizian, Sharmila Dorbala, Edward P. Ficaro, Ernest V. Garcia, Henry Gewirtz, Gary V. Heller, Howard C. Lewin, Saurabh Malhotra, April Mann, Terrence D. Ruddy, Thomas H. Schindler, Ronald G. Schwartz, Piotr J. Slomka, Prem Soman, Marcelo F. Di Carli
Journal of Nuclear Medicine Feb 2018, 59 (2) 273-293; DOI: 10.2967/jnumed.117.201368

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Clinical Quantification of Myocardial Blood Flow Using PET: Joint Position Paper of the SNMMI Cardiovascular Council and the ASNC
Venkatesh L. Murthy, Timothy M. Bateman, Rob S. Beanlands, Daniel S. Berman, Salvador Borges-Neto, Panithaya Chareonthaitawee, Manuel D. Cerqueira, Robert A. deKemp, E. Gordon DePuey, Vasken Dilsizian, Sharmila Dorbala, Edward P. Ficaro, Ernest V. Garcia, Henry Gewirtz, Gary V. Heller, Howard C. Lewin, Saurabh Malhotra, April Mann, Terrence D. Ruddy, Thomas H. Schindler, Ronald G. Schwartz, Piotr J. Slomka, Prem Soman, Marcelo F. Di Carli
Journal of Nuclear Medicine Feb 2018, 59 (2) 273-293; DOI: 10.2967/jnumed.117.201368
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