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Daviller C, Boutelier T, Giri S, Ratiney H, Jolly MP, Vallée JP, Croisille P, Viallon M. Direct Comparison of Bayesian and Fermi Deconvolution Approaches for Myocardial Blood Flow Quantification: In silico and Clinical Validations. Front Physiol 2021; 12:483714. [PMID: 33912066 PMCID: PMC8072361 DOI: 10.3389/fphys.2021.483714] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Accepted: 03/08/2021] [Indexed: 11/13/2022] Open
Abstract
Cardiac magnetic resonance myocardial perfusion imaging can detect coronary artery disease and is an alternative to single-photon emission computed tomography or positron emission tomography. However, the complex, non-linear MR signal and the lack of robust quantification of myocardial blood flow have hindered its widespread clinical application thus far. Recently, a new Bayesian approach was developed for brain imaging and evaluation of perfusion indexes (Kudo et al., 2014). In addition to providing accurate perfusion measurements, this probabilistic approach appears more robust than previous approaches, particularly due to its insensitivity to bolus arrival delays. We assessed the performance of this approach against a well-known and commonly deployed model-independent method based on the Fermi function for cardiac magnetic resonance myocardial perfusion imaging. The methods were first evaluated for accuracy and precision using a digital phantom to test them against the ground truth; next, they were applied in a group of coronary artery disease patients. The Bayesian method can be considered an appropriate model-independent method with which to estimate myocardial blood flow and delays. The digital phantom comprised a set of synthetic time-concentration curve combinations generated with a 2-compartment exchange model and a realistic combination of perfusion indexes, arterial input dynamics, noise and delays collected from the clinical dataset. The myocardial blood flow values estimated with the two methods showed an excellent correlation coefficient (r2 > 0.9) under all noise and delay conditions. The Bayesian approach showed excellent robustness to bolus arrival delays, with a similar performance to Fermi modeling when delays were considered. Delays were better estimated with the Bayesian approach than with Fermi modeling. An in vivo analysis of coronary artery disease patients revealed that the Bayesian approach had an excellent ability to distinguish between abnormal and normal myocardium. The Bayesian approach was able to discriminate not only flows but also delays with increased sensitivity by offering a clearly enlarged range of distribution for the physiologic parameters.
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Affiliation(s)
- Clément Daviller
- Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS, UMR 5220, U1294, Lyon, France
| | - Timothé Boutelier
- Department of Research and Innovation, Olea Medical, La Ciotat, France
| | - Shivraman Giri
- Siemens Medical Solutions USA, Inc., Boston, MA, United States
| | - Hélène Ratiney
- Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS, UMR 5220, U1294, Lyon, France
| | | | - Jean-Paul Vallée
- Division of Radiology, Faculty of Medicine, Geneva University Hospitals, University of Geneva, Geneva, Switzerland
| | - Pierre Croisille
- Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS, UMR 5220, U1294, Lyon, France.,Department of Radiology, CHU de Saint-Etienne, University of Lyon, UJM-Saint-Etienne, Saint-Étienne, France
| | - Magalie Viallon
- Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS, UMR 5220, U1294, Lyon, France.,Department of Radiology, CHU de Saint-Etienne, University of Lyon, UJM-Saint-Etienne, Saint-Étienne, France
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3
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Guehl NJ, Normandin MD, Wooten DW, Rozen G, Ruskin JN, Shoup TM, Woo J, Ptaszek LM, Fakhri GE, Alpert NM. Rapid computation of single PET scan rest-stress myocardial blood flow parametric images by table look up. Med Phys 2017; 44:4643-4651. [PMID: 28594441 DOI: 10.1002/mp.12398] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2017] [Revised: 05/11/2017] [Accepted: 05/31/2017] [Indexed: 12/17/2022] Open
Abstract
PURPOSE We have recently reported a method for measuring rest-stress myocardial blood flow (MBF) using a single, relatively short, PET scan session. The method requires two IV tracer injections, one to initiate rest imaging and one at peak stress. We previously validated absolute flow quantitation in ml/min/cc for standard bull's eye, segmental analysis. In this work, we extend the method for fast computation of rest-stress MBF parametric images. METHODS We provide an analytic solution to the single-scan rest-stress flow model which is then solved using a two-dimensional table lookup method (LM). Simulations were performed to compare the accuracy and precision of the lookup method with the original nonlinear method (NLM). Then the method was applied to 16 single scan rest/stress measurements made in 12 pigs: seven studied after infarction of the left anterior descending artery (LAD) territory, and nine imaged in the native state. Parametric maps of rest and stress MBF as well as maps of left (fLV ) and right (fRV ) ventricular spill-over fractions were generated. Regions of interest (ROIs) for 17 myocardial segments were defined in bull's eye fashion on the parametric maps. The mean of each ROI was then compared to the rest (K1r ) and stress (K1s ) MBF estimates obtained from fitting the 17 regional TACs with the NLM. RESULTS In simulation, the LM performed as well as the NLM in terms of precision and accuracy. The simulation did not show that bias was introduced by the use of a predefined two-dimensional lookup table. In experimental data, parametric maps demonstrated good statistical quality and the LM was computationally much more efficient than the original NLM. Very good agreement was obtained between the mean MBF calculated on the parametric maps for each of the 17 ROIs and the regional MBF values estimated by the NLM (K1mapLM = 1.019 × K1ROINLM + 0.019, R2 = 0.986; mean difference = 0.034 ± 0.036 mL/min/cc). CONCLUSIONS We developed a table lookup method for fast computation of parametric imaging of rest and stress MBF. Our results show the feasibility of obtaining good quality MBF maps using modest computational resources, thus demonstrating that the method can be applied in a clinical environment to obtain full quantitative MBF information.
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Affiliation(s)
- Nicolas J Guehl
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114-1107, USA
| | - Marc D Normandin
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114-1107, USA
| | - Dustin W Wooten
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114-1107, USA
| | - Guy Rozen
- Cardiac Arrhythmia Service, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
| | - Jeremy N Ruskin
- Cardiac Arrhythmia Service, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
| | - Timothy M Shoup
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114-1107, USA
| | - Jonghye Woo
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114-1107, USA
| | - Leon M Ptaszek
- Cardiac Arrhythmia Service, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
| | - Georges El Fakhri
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114-1107, USA
| | - Nathaniel M Alpert
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114-1107, USA
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4
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Guehl NJ, Normandin MD, Wooten DW, Rozen G, Sitek A, Ruskin J, Shoup TM, Ptaszek LM, El Fakhri G, Alpert NM. Single-scan rest/stress imaging: validation in a porcine model with 18F-Flurpiridaz. Eur J Nucl Med Mol Imaging 2017; 44:1538-1546. [PMID: 28365789 DOI: 10.1007/s00259-017-3684-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2016] [Accepted: 03/17/2017] [Indexed: 11/27/2022]
Abstract
PURPOSE 18F-labeled myocardial flow agents are becoming available for clinical application but the ∼2 hour half-life of 18F complicates their clinical application for rest-stress measurements. The goal of this work is to evaluate in a pig model a single-scan method which provides quantitative rest-stress blood flow in less than 15 minutes. METHODS Single-scan rest-stress measurements were made using 18F-Flurpiridaz. Nine scans were performed in healthy pigs and seven scans were performed in injured pigs. A two-injection, single-scan protocol was used in which an adenosine infusion was started 4 minutes after the first injection of 18F-Flurpiridaz and followed either 3 or 6 minutes later by a second radiotracer injection. In two pigs, microsphere flow measurements were made at rest and during stress. Dynamic images were reoriented into the short axis view, and regions of interest (ROIs) for the 17 myocardial segments were defined in bull's eye fashion. PET data were fitted with MGH2, a kinetic model with time varying kinetic parameters, in which blood flow changes abruptly with the introduction of adenosine. Rest and stress myocardial blood flow (MBF) were estimated simultaneously. RESULTS The first 12-14 minutes of rest-stress PET data were fitted in detail by the MGH2 model, yielding MBF measurement with a mean precision of 0.035 ml/min/cc. Mean myocardial blood flow across pigs was 0.61 ± 0.11 mL/min/cc at rest and 1.06 ± 0.19 mL/min/cc at stress in healthy pigs and 0.36 ± 0.20 mL/min/cc at rest and 0.62 ± 0.24 mL/min/cc at stress in the ischemic area. Good agreement was obtained with microsphere flow measurement (slope = 1.061 ± 0.017, intercept = 0.051 ± 0.017, mean difference 0.096 ± 0.18 ml/min/cc). CONCLUSION Accurate rest and stress blood flow estimation can be obtained in less than 15 min of PET acquisition. The method is practical and easy to implement suggesting the possibility of clinical translation.
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Affiliation(s)
- Nicolas J Guehl
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Marc D Normandin
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Dustin W Wooten
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Guy Rozen
- Cardiac Arrhythmia Service, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
| | - Arkadiusk Sitek
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Jeremy Ruskin
- Cardiac Arrhythmia Service, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
| | - Timothy M Shoup
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Leon M Ptaszek
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Cardiac Arrhythmia Service, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
| | - Georges El Fakhri
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Nathaniel M Alpert
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
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8
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Stuijfzand WJ, Uusitalo V, Kero T, Danad I, Rijnierse MT, Saraste A, Raijmakers PG, Lammertsma AA, Harms HJ, Heymans MW, Huisman MC, Marques KM, Kajander SA, Pietilä M, Sörensen J, Royen NV, Knuuti J, Knaapen P. Relative Flow Reserve Derived From Quantitative Perfusion Imaging May Not Outperform Stress Myocardial Blood Flow for Identification of Hemodynamically Significant Coronary Artery Disease. Circ Cardiovasc Imaging 2015; 8:CIRCIMAGING.114.002400. [DOI: 10.1161/circimaging.114.002400] [Citation(s) in RCA: 58] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Affiliation(s)
- Wijnand J. Stuijfzand
- From the Departments of Cardiology (W.J.S., I.D., M.T.R., K.M.M., N.v.R., P.K.), Radiology and Nuclear Medicine (P.G.R., A.A.L, H.J.H., M.C.H.), Department of Epidemiology and Biostatistics (M.W.H.), VU University Medical Center, Amsterdam, The Netherlands; Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland (V.U., A.S., S.A.K, M.P., J.K.); and Department of Nuclear Medicine and PET, Institution of Radiology, Oncology and Radiation Science, Uppsala University, Uppsala
| | - Valtteri Uusitalo
- From the Departments of Cardiology (W.J.S., I.D., M.T.R., K.M.M., N.v.R., P.K.), Radiology and Nuclear Medicine (P.G.R., A.A.L, H.J.H., M.C.H.), Department of Epidemiology and Biostatistics (M.W.H.), VU University Medical Center, Amsterdam, The Netherlands; Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland (V.U., A.S., S.A.K, M.P., J.K.); and Department of Nuclear Medicine and PET, Institution of Radiology, Oncology and Radiation Science, Uppsala University, Uppsala
| | - Tanja Kero
- From the Departments of Cardiology (W.J.S., I.D., M.T.R., K.M.M., N.v.R., P.K.), Radiology and Nuclear Medicine (P.G.R., A.A.L, H.J.H., M.C.H.), Department of Epidemiology and Biostatistics (M.W.H.), VU University Medical Center, Amsterdam, The Netherlands; Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland (V.U., A.S., S.A.K, M.P., J.K.); and Department of Nuclear Medicine and PET, Institution of Radiology, Oncology and Radiation Science, Uppsala University, Uppsala
| | - Ibrahim Danad
- From the Departments of Cardiology (W.J.S., I.D., M.T.R., K.M.M., N.v.R., P.K.), Radiology and Nuclear Medicine (P.G.R., A.A.L, H.J.H., M.C.H.), Department of Epidemiology and Biostatistics (M.W.H.), VU University Medical Center, Amsterdam, The Netherlands; Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland (V.U., A.S., S.A.K, M.P., J.K.); and Department of Nuclear Medicine and PET, Institution of Radiology, Oncology and Radiation Science, Uppsala University, Uppsala
| | - Mischa T. Rijnierse
- From the Departments of Cardiology (W.J.S., I.D., M.T.R., K.M.M., N.v.R., P.K.), Radiology and Nuclear Medicine (P.G.R., A.A.L, H.J.H., M.C.H.), Department of Epidemiology and Biostatistics (M.W.H.), VU University Medical Center, Amsterdam, The Netherlands; Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland (V.U., A.S., S.A.K, M.P., J.K.); and Department of Nuclear Medicine and PET, Institution of Radiology, Oncology and Radiation Science, Uppsala University, Uppsala
| | - Antti Saraste
- From the Departments of Cardiology (W.J.S., I.D., M.T.R., K.M.M., N.v.R., P.K.), Radiology and Nuclear Medicine (P.G.R., A.A.L, H.J.H., M.C.H.), Department of Epidemiology and Biostatistics (M.W.H.), VU University Medical Center, Amsterdam, The Netherlands; Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland (V.U., A.S., S.A.K, M.P., J.K.); and Department of Nuclear Medicine and PET, Institution of Radiology, Oncology and Radiation Science, Uppsala University, Uppsala
| | - Pieter G. Raijmakers
- From the Departments of Cardiology (W.J.S., I.D., M.T.R., K.M.M., N.v.R., P.K.), Radiology and Nuclear Medicine (P.G.R., A.A.L, H.J.H., M.C.H.), Department of Epidemiology and Biostatistics (M.W.H.), VU University Medical Center, Amsterdam, The Netherlands; Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland (V.U., A.S., S.A.K, M.P., J.K.); and Department of Nuclear Medicine and PET, Institution of Radiology, Oncology and Radiation Science, Uppsala University, Uppsala
| | - Adriaan A. Lammertsma
- From the Departments of Cardiology (W.J.S., I.D., M.T.R., K.M.M., N.v.R., P.K.), Radiology and Nuclear Medicine (P.G.R., A.A.L, H.J.H., M.C.H.), Department of Epidemiology and Biostatistics (M.W.H.), VU University Medical Center, Amsterdam, The Netherlands; Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland (V.U., A.S., S.A.K, M.P., J.K.); and Department of Nuclear Medicine and PET, Institution of Radiology, Oncology and Radiation Science, Uppsala University, Uppsala
| | - Hans J. Harms
- From the Departments of Cardiology (W.J.S., I.D., M.T.R., K.M.M., N.v.R., P.K.), Radiology and Nuclear Medicine (P.G.R., A.A.L, H.J.H., M.C.H.), Department of Epidemiology and Biostatistics (M.W.H.), VU University Medical Center, Amsterdam, The Netherlands; Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland (V.U., A.S., S.A.K, M.P., J.K.); and Department of Nuclear Medicine and PET, Institution of Radiology, Oncology and Radiation Science, Uppsala University, Uppsala
| | - Martijn W. Heymans
- From the Departments of Cardiology (W.J.S., I.D., M.T.R., K.M.M., N.v.R., P.K.), Radiology and Nuclear Medicine (P.G.R., A.A.L, H.J.H., M.C.H.), Department of Epidemiology and Biostatistics (M.W.H.), VU University Medical Center, Amsterdam, The Netherlands; Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland (V.U., A.S., S.A.K, M.P., J.K.); and Department of Nuclear Medicine and PET, Institution of Radiology, Oncology and Radiation Science, Uppsala University, Uppsala
| | - Marc C. Huisman
- From the Departments of Cardiology (W.J.S., I.D., M.T.R., K.M.M., N.v.R., P.K.), Radiology and Nuclear Medicine (P.G.R., A.A.L, H.J.H., M.C.H.), Department of Epidemiology and Biostatistics (M.W.H.), VU University Medical Center, Amsterdam, The Netherlands; Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland (V.U., A.S., S.A.K, M.P., J.K.); and Department of Nuclear Medicine and PET, Institution of Radiology, Oncology and Radiation Science, Uppsala University, Uppsala
| | - Koen M. Marques
- From the Departments of Cardiology (W.J.S., I.D., M.T.R., K.M.M., N.v.R., P.K.), Radiology and Nuclear Medicine (P.G.R., A.A.L, H.J.H., M.C.H.), Department of Epidemiology and Biostatistics (M.W.H.), VU University Medical Center, Amsterdam, The Netherlands; Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland (V.U., A.S., S.A.K, M.P., J.K.); and Department of Nuclear Medicine and PET, Institution of Radiology, Oncology and Radiation Science, Uppsala University, Uppsala
| | - Sami A. Kajander
- From the Departments of Cardiology (W.J.S., I.D., M.T.R., K.M.M., N.v.R., P.K.), Radiology and Nuclear Medicine (P.G.R., A.A.L, H.J.H., M.C.H.), Department of Epidemiology and Biostatistics (M.W.H.), VU University Medical Center, Amsterdam, The Netherlands; Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland (V.U., A.S., S.A.K, M.P., J.K.); and Department of Nuclear Medicine and PET, Institution of Radiology, Oncology and Radiation Science, Uppsala University, Uppsala
| | - Mikko Pietilä
- From the Departments of Cardiology (W.J.S., I.D., M.T.R., K.M.M., N.v.R., P.K.), Radiology and Nuclear Medicine (P.G.R., A.A.L, H.J.H., M.C.H.), Department of Epidemiology and Biostatistics (M.W.H.), VU University Medical Center, Amsterdam, The Netherlands; Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland (V.U., A.S., S.A.K, M.P., J.K.); and Department of Nuclear Medicine and PET, Institution of Radiology, Oncology and Radiation Science, Uppsala University, Uppsala
| | - Jens Sörensen
- From the Departments of Cardiology (W.J.S., I.D., M.T.R., K.M.M., N.v.R., P.K.), Radiology and Nuclear Medicine (P.G.R., A.A.L, H.J.H., M.C.H.), Department of Epidemiology and Biostatistics (M.W.H.), VU University Medical Center, Amsterdam, The Netherlands; Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland (V.U., A.S., S.A.K, M.P., J.K.); and Department of Nuclear Medicine and PET, Institution of Radiology, Oncology and Radiation Science, Uppsala University, Uppsala
| | - Niels van Royen
- From the Departments of Cardiology (W.J.S., I.D., M.T.R., K.M.M., N.v.R., P.K.), Radiology and Nuclear Medicine (P.G.R., A.A.L, H.J.H., M.C.H.), Department of Epidemiology and Biostatistics (M.W.H.), VU University Medical Center, Amsterdam, The Netherlands; Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland (V.U., A.S., S.A.K, M.P., J.K.); and Department of Nuclear Medicine and PET, Institution of Radiology, Oncology and Radiation Science, Uppsala University, Uppsala
| | - Juhani Knuuti
- From the Departments of Cardiology (W.J.S., I.D., M.T.R., K.M.M., N.v.R., P.K.), Radiology and Nuclear Medicine (P.G.R., A.A.L, H.J.H., M.C.H.), Department of Epidemiology and Biostatistics (M.W.H.), VU University Medical Center, Amsterdam, The Netherlands; Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland (V.U., A.S., S.A.K, M.P., J.K.); and Department of Nuclear Medicine and PET, Institution of Radiology, Oncology and Radiation Science, Uppsala University, Uppsala
| | - Paul Knaapen
- From the Departments of Cardiology (W.J.S., I.D., M.T.R., K.M.M., N.v.R., P.K.), Radiology and Nuclear Medicine (P.G.R., A.A.L, H.J.H., M.C.H.), Department of Epidemiology and Biostatistics (M.W.H.), VU University Medical Center, Amsterdam, The Netherlands; Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland (V.U., A.S., S.A.K, M.P., J.K.); and Department of Nuclear Medicine and PET, Institution of Radiology, Oncology and Radiation Science, Uppsala University, Uppsala
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