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Items: 1 to 50 of 205

1.

Clarifying the Utility of Myocardial Blood Flow and Myocardial Flow Reserve After Cardiac Transplant.

Miller RJH, Manabe O, Tamarappoo B, Hayes S, Friedman J, Slomka PJ, Patel J, Kobashigawa J, Berman DS.

J Nucl Med. 2019 Oct 10. pii: jnumed.119.236190. doi: 10.2967/jnumed.119.236190. [Epub ahead of print] No abstract available.

PMID:
31601701
2.

Short-term repeatability of myocardial blood flow using 82Rb PET/CT: The effect of arterial input function position and motion correction.

Otaki Y, Lassen ML, Manabe O, Eisenberg E, Gransar H, Wang F, Lee YJ, Tzolos E, Berman DS, Slomka PJ.

J Nucl Cardiol. 2019 Sep 26. doi: 10.1007/s12350-019-01888-5. [Epub ahead of print]

PMID:
31559536
3.

Myocardial blood flow: Is motion correction necessary?

Lassen ML, Slomka PJ.

J Nucl Cardiol. 2019 Sep 20. doi: 10.1007/s12350-019-01896-5. [Epub ahead of print] No abstract available.

PMID:
31541429
4.

Quantification of myocardial blood flow by CZT-SPECT with motion correction and comparison with 15O-water PET.

Otaki Y, Manabe O, Miller RJH, Manrique A, Nganoa C, Roth N, Berman DS, Germano G, Slomka PJ, Agostini D.

J Nucl Cardiol. 2019 Aug 26. doi: 10.1007/s12350-019-01854-1. [Epub ahead of print]

PMID:
31452085
5.

Comparative Prognostic and Diagnostic Value of Myocardial Blood Flow and Myocardial Flow Reserve After Cardiac Transplant.

Miller RJH, Manabe O, Tamarappoo BK, Hayes S, Friedman J, Slomka PJ, Patel J, Kobashigawa J, Berman DS.

J Nucl Med. 2019 Aug 26. pii: jnumed.119.229625. doi: 10.2967/jnumed.119.229625. [Epub ahead of print]

PMID:
31451490
6.

Triple-gated motion and blood pool clearance corrections improve reproducibility of coronary 18F-NaF PET.

Lassen ML, Kwiecinski J, Dey D, Cadet S, Germano G, Berman DS, Adamson PD, Moss AJ, Dweck MR, Newby DE, Slomka PJ.

Eur J Nucl Med Mol Imaging. 2019 Nov;46(12):2610-2620. doi: 10.1007/s00259-019-04437-x. Epub 2019 Aug 5.

PMID:
31385011
7.

Solid-State Detector SPECT Myocardial Perfusion Imaging.

Slomka PJ, Miller RJH, Hu LH, Germano G, Berman DS.

J Nucl Med. 2019 Sep;60(9):1194-1204. doi: 10.2967/jnumed.118.220657. Epub 2019 Aug 2.

PMID:
31375568
8.

Machine learning predicts per-vessel early coronary revascularization after fast myocardial perfusion SPECT: results from multicentre REFINE SPECT registry.

Hu LH, Betancur J, Sharir T, Einstein AJ, Bokhari S, Fish MB, Ruddy TD, Kaufmann PA, Sinusas AJ, Miller EJ, Bateman TM, Dorbala S, Di Carli M, Germano G, Commandeur F, Liang JX, Otaki Y, Tamarappoo BK, Dey D, Berman DS, Slomka PJ.

Eur Heart J Cardiovasc Imaging. 2019 Jul 16. pii: jez177. doi: 10.1093/ehjci/jez177. [Epub ahead of print]

PMID:
31317178
9.

Selection of abstracts from the scientific sessions of The Society Of Nuclear Medicine and Molecular Imaging annual meeting Anaheim CA.

Kwiecinski J, Lassen ML, Liang J, Slomka PJ.

J Nucl Cardiol. 2019 Oct;26(5):1667-1673. doi: 10.1007/s12350-019-01816-7. Epub 2019 Jul 15.

PMID:
31309460
10.

Transient ischaemic dilation and post-stress wall motion abnormality increase risk in patients with less than moderate ischaemia: analysis of the REFINE SPECT registry.

Miller RJH, Hu LH, Gransar H, Betancur J, Eisenberg E, Otaki Y, Sharir T, Fish MB, Ruddy TD, Dorbala S, Carli MD, Einstein AJ, Kaufmann PA, Sinusas AJ, Miller EJ, Bateman T, Germano G, Tamarappoo BK, Dey D, Berman DS, Slomka PJ.

Eur Heart J Cardiovasc Imaging. 2019 Jul 13. pii: jez172. doi: 10.1093/ehjci/jez172. [Epub ahead of print]

PMID:
31302679
11.

Predictors of 18F-sodium fluoride uptake in patients with stable coronary artery disease and adverse plaque features on computed tomography angiography.

Kwiecinski J, Dey D, Cadet S, Lee SE, Tamarappoo B, Otaki Y, Huynh PT, Friedman JD, Dweck MR, Newby DE, Yun M, Chang HJ, Slomka PJ, Berman DS.

Eur Heart J Cardiovasc Imaging. 2019 Jun 18. pii: jez152. doi: 10.1093/ehjci/jez152. [Epub ahead of print]

PMID:
31211387
12.

5-Year Prognostic Value of Quantitative Versus Visual MPI in Subtle Perfusion Defects: Results From REFINE SPECT.

Otaki Y, Betancur J, Sharir T, Hu LH, Gransar H, Liang JX, Azadani PN, Einstein AJ, Fish MB, Ruddy TD, Kaufmann PA, Sinusas AJ, Miller EJ, Bateman TM, Dorbala S, Di Carli M, Tamarappoo BK, Germano G, Dey D, Berman DS, Slomka PJ.

JACC Cardiovasc Imaging. 2019 Jun 8. pii: S1936-878X(19)30348-1. doi: 10.1016/j.jcmg.2019.02.028. [Epub ahead of print]

PMID:
31202740
13.

Accurate needle-free assessment of myocardial oxygenation for ischemic heart disease in canines using magnetic resonance imaging.

Yang HJ, Oksuz I, Dey D, Sykes J, Klein M, Butler J, Kovacs MS, Sobczyk O, Cokic I, Slomka PJ, Bi X, Li D, Tighiouart M, Tsaftaris SA, Prato FS, Fisher JA, Dharmakumar R.

Sci Transl Med. 2019 May 29;11(494). pii: eaat4407. doi: 10.1126/scitranslmed.aat4407.

PMID:
31142677
14.

Upper reference limits of transient ischemic dilation ratio for different protocols on new-generation cadmium zinc telluride cameras: A report from REFINE SPECT registry.

Hu LH, Sharir T, Miller RJH, Einstein AJ, Fish MB, Ruddy TD, Dorbala S, Di Carli M, Kaufmann PA, Sinusas AJ, Miller EJ, Bateman TM, Betancur J, Germano G, Liang JX, Commandeur F, Azadani PN, Gransar H, Otaki Y, Tamarappoo BK, Dey D, Berman DS, Slomka PJ.

J Nucl Cardiol. 2019 May 13. doi: 10.1007/s12350-019-01730-y. [Epub ahead of print]

PMID:
31087268
15.

Software reproducibility of myocardial blood flow and flow reserve quantification in ischemic heart disease: A 13N-ammonia PET study.

Monroy-Gonzalez AG, Juarez-Orozco LE, Han C, Vedder IR, García DV, Borra R, Slomka PJ, Nesterov SV, Knuuti J, Slart RHJA, Alexanderson-Rosas E.

J Nucl Cardiol. 2019 Mar 22. doi: 10.1007/s12350-019-01620-3. [Epub ahead of print]

PMID:
30903608
16.

Artificial Intelligence in Cardiovascular Imaging: JACC State-of-the-Art Review.

Dey D, Slomka PJ, Leeson P, Comaniciu D, Shrestha S, Sengupta PP, Marwick TH.

J Am Coll Cardiol. 2019 Mar 26;73(11):1317-1335. doi: 10.1016/j.jacc.2018.12.054. Review.

PMID:
30898208
17.

Gating Approaches in Cardiac PET Imaging.

Lassen ML, Kwiecinski J, Slomka PJ.

PET Clin. 2019 Apr;14(2):271-279. doi: 10.1016/j.cpet.2018.12.008. Epub 2019 Feb 1. Review.

PMID:
30826024
18.

Relationship between changes in pericoronary adipose tissue attenuation and coronary plaque burden quantified from coronary computed tomography angiography.

Goeller M, Tamarappoo BK, Kwan AC, Cadet S, Commandeur F, Razipour A, Slomka PJ, Gransar H, Chen X, Otaki Y, Friedman JD, Cao JJ, Albrecht MH, Bittner DO, Marwan M, Achenbach S, Berman DS, Dey D.

Eur Heart J Cardiovasc Imaging. 2019 Jun 1;20(6):636-643. doi: 10.1093/ehjci/jez013.

PMID:
30789223
19.

Effect of tube potential and luminal contrast attenuation on atherosclerotic plaque attenuation by coronary CT angiography: In vivo comparison with intravascular ultrasound.

Matsumoto H, Watanabe S, Kyo E, Tsuji T, Ando Y, Otaki Y, Cadet S, Slomka PJ, Berman DS, Dey D, Tamarappoo BK.

J Cardiovasc Comput Tomogr. 2019 Jul - Aug;13(4):219-225. doi: 10.1016/j.jcct.2019.02.004. Epub 2019 Feb 12.

PMID:
30782511
20.

Peri-Coronary Adipose Tissue Density Is Associated With 18F-Sodium Fluoride Coronary Uptake in Stable Patients With High-Risk Plaques.

Kwiecinski J, Dey D, Cadet S, Lee SE, Otaki Y, Huynh PT, Doris MK, Eisenberg E, Yun M, Jansen MA, Williams MC, Tamarappoo BK, Friedman JD, Dweck MR, Newby DE, Chang HJ, Slomka PJ, Berman DS.

JACC Cardiovasc Imaging. 2019 Oct;12(10):2000-2010. doi: 10.1016/j.jcmg.2018.11.032. Epub 2019 Feb 13.

PMID:
30772226
21.

Cardiac motion correction for improving perfusion defect detection in cardiac SPECT at standard and reduced doses of activity.

Song C, Yang Y, Wernick MN, Pretorius PH, Slomka PJ, King MA.

Phys Med Biol. 2019 Feb 20;64(5):055005. doi: 10.1088/1361-6560/aafefe.

PMID:
30650394
22.

Feasibility of Coronary 18F-Sodium Fluoride Positron-Emission Tomography Assessment With the Utilization of Previously Acquired Computed Tomography Angiography.

Kwiecinski J, Adamson PD, Lassen ML, Doris MK, Moss AJ, Cadet S, Jansen MA, Dey D, Lee SE, Yun M, Chang HJ, Dweck MR, Newby DE, Berman DS, Slomka PJ.

Circ Cardiovasc Imaging. 2018 Dec;11(12):e008325. doi: 10.1161/CIRCIMAGING.118.008325.

23.

Analytical quantification of aortic valve 18F-sodium fluoride PET uptake.

Massera D, Doris MK, Cadet S, Kwiecinski J, Pawade TA, Peeters FECM, Dey D, Newby DE, Dweck MR, Slomka PJ.

J Nucl Cardiol. 2018 Nov 29. doi: 10.1007/s12350-018-01542-6. [Epub ahead of print]

PMID:
30499069
24.

Data-Driven Gross Patient Motion Detection and Compensation: Implications for Coronary 18F-NaF PET Imaging.

Lassen ML, Kwiecinski J, Cadet S, Dey D, Wang C, Dweck MR, Berman DS, Germano G, Newby DE, Slomka PJ.

J Nucl Med. 2019 Jun;60(6):830-836. doi: 10.2967/jnumed.118.217877. Epub 2018 Nov 15.

PMID:
30442755
25.

Evaluation of the effect of reducing administered activity on assessment of function in cardiac gated SPECT.

Juan Ramon A, Yang Y, Wernick MN, Pretorius PH, Johnson KL, Slomka PJ, King MA.

J Nucl Cardiol. 2018 Nov 7. doi: 10.1007/s12350-018-01505-x. [Epub ahead of print]

PMID:
30406608
26.

Deep Learning Analysis of Upright-Supine High-Efficiency SPECT Myocardial Perfusion Imaging for Prediction of Obstructive Coronary Artery Disease: A Multicenter Study.

Betancur J, Hu LH, Commandeur F, Sharir T, Einstein AJ, Fish MB, Ruddy TD, Kaufmann PA, Sinusas AJ, Miller EJ, Bateman TM, Dorbala S, Di Carli M, Germano G, Otaki Y, Liang JX, Tamarappoo BK, Dey D, Berman DS, Slomka PJ.

J Nucl Med. 2019 May;60(5):664-670. doi: 10.2967/jnumed.118.213538. Epub 2018 Sep 27.

27.

Three-Hour Delayed Imaging Improves Assessment of Coronary 18F-Sodium Fluoride PET.

Kwiecinski J, Berman DS, Lee SE, Dey D, Cadet S, Lassen ML, Germano G, Jansen MA, Dweck MR, Newby DE, Chang HJ, Yun M, Slomka PJ.

J Nucl Med. 2019 Apr;60(4):530-535. doi: 10.2967/jnumed.118.217885. Epub 2018 Sep 13.

28.

Improving perfusion defect detection with respiratory motion correction in cardiac SPECT at standard and reduced doses.

Song C, Yang Y, Ramon AJ, Wernick MN, Pretorius PH, Johnson KL, Slomka PJ, King MA.

J Nucl Cardiol. 2019 Oct;26(5):1526-1538. doi: 10.1007/s12350-018-1374-9. Epub 2018 Jul 30.

PMID:
30062470
29.

Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging.

Al'Aref SJ, Anchouche K, Singh G, Slomka PJ, Kolli KK, Kumar A, Pandey M, Maliakal G, van Rosendael AR, Beecy AN, Berman DS, Leipsic J, Nieman K, Andreini D, Pontone G, Schoepf UJ, Shaw LJ, Chang HJ, Narula J, Bax JJ, Guan Y, Min JK.

Eur Heart J. 2019 Jun 21;40(24):1975-1986. doi: 10.1093/eurheartj/ehy404.

PMID:
30060039
30.

Pericoronary Adipose Tissue Computed Tomography Attenuation and High-Risk Plaque Characteristics in Acute Coronary Syndrome Compared With Stable Coronary Artery Disease.

Goeller M, Achenbach S, Cadet S, Kwan AC, Commandeur F, Slomka PJ, Gransar H, Albrecht MH, Tamarappoo BK, Berman DS, Marwan M, Dey D.

JAMA Cardiol. 2018 Sep 1;3(9):858-863. doi: 10.1001/jamacardio.2018.1997.

31.

Deep Learning for Quantification of Epicardial and Thoracic Adipose Tissue From Non-Contrast CT.

Commandeur F, Goeller M, Betancur J, Cadet S, Doris M, Chen X, Berman DS, Slomka PJ, Tamarappoo BK, Dey D.

IEEE Trans Med Imaging. 2018 Aug;37(8):1835-1846. doi: 10.1109/TMI.2018.2804799. Epub 2018 Feb 9.

32.

Optimization of reconstruction and quantification of motion-corrected coronary PET-CT.

Doris MK, Otaki Y, Krishnan SK, Kwiecinski J, Rubeaux M, Alessio A, Pan T, Cadet S, Dey D, Dweck MR, Newby DE, Berman DS, Slomka PJ.

J Nucl Cardiol. 2018 Jun 11. doi: 10.1007/s12350-018-1317-5. [Epub ahead of print]

PMID:
29948889
33.

Rationale and design of the REgistry of Fast Myocardial Perfusion Imaging with NExt generation SPECT (REFINE SPECT).

Slomka PJ, Betancur J, Liang JX, Otaki Y, Hu LH, Sharir T, Dorbala S, Di Carli M, Fish MB, Ruddy TD, Bateman TM, Einstein AJ, Kaufmann PA, Miller EJ, Sinusas AJ, Azadani PN, Gransar H, Tamarappoo BK, Dey D, Berman DS, Germano G.

J Nucl Cardiol. 2018 Jun 19. doi: 10.1007/s12350-018-1326-4. [Epub ahead of print]

PMID:
29923104
34.

Single Photon Emission Computed Tomography (SPECT) Myocardial Perfusion Imaging Guidelines: Instrumentation, Acquisition, Processing, and Interpretation.

Dorbala S, Ananthasubramaniam K, Armstrong IS, Chareonthaitawee P, DePuey EG, Einstein AJ, Gropler RJ, Holly TA, Mahmarian JJ, Park MA, Polk DM, Russell R 3rd, Slomka PJ, Thompson RC, Wells RG.

J Nucl Cardiol. 2018 Oct;25(5):1784-1846. doi: 10.1007/s12350-018-1283-y. No abstract available.

PMID:
29802599
35.

Machine learning for predicting death and heart attacks from CCTA.

Slomka PJ.

J Cardiovasc Comput Tomogr. 2018 May - Jun;12(3):210-211. doi: 10.1016/j.jcct.2018.05.008. Epub 2018 May 5. No abstract available.

PMID:
29802033
36.

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

Murthy VL, Bateman TM, Beanlands RS, Berman DS, Borges-Neto S, Chareonthaitawee P, Cerqueira MD, deKemp RA, DePuey EG, Dilsizian V, Dorbala S, Ficaro EP, Garcia EV, Gewirtz H, Heller GV, Lewin HC, Malhotra S, Mann A, Ruddy TD, Schindler TH, Schwartz RG, Slomka PJ, Soman P, Di Carli MF.

J Nucl Cardiol. 2018 Dec;25(6):2189-2190. doi: 10.1007/s12350-018-1259-y.

PMID:
29637524
37.

Deep Learning for Prediction of Obstructive Disease From Fast Myocardial Perfusion SPECT: A Multicenter Study.

Betancur J, Commandeur F, Motlagh M, Sharir T, Einstein AJ, Bokhari S, Fish MB, Ruddy TD, Kaufmann P, Sinusas AJ, Miller EJ, Bateman TM, Dorbala S, Di Carli M, Germano G, Otaki Y, Tamarappoo BK, Dey D, Berman DS, Slomka PJ.

JACC Cardiovasc Imaging. 2018 Nov;11(11):1654-1663. doi: 10.1016/j.jcmg.2018.01.020. Epub 2018 Mar 14.

38.

Combined evaluation of regional coronary artery calcium and myocardial perfusion by 82Rb PET/CT in the identification of obstructive coronary artery disease.

Zampella E, Acampa W, Assante R, Nappi C, Gaudieri V, Mainolfi CG, Green R, Cantoni V, Panico M, Klain M, Petretta M, Slomka PJ, Cuocolo A.

Eur J Nucl Med Mol Imaging. 2018 Apr;45(4):521-529. doi: 10.1007/s00259-018-3935-1. Epub 2018 Jan 25.

PMID:
29372272
39.

Integrated prediction of lesion-specific ischaemia from quantitative coronary CT angiography using machine learning: a multicentre study.

Dey D, Gaur S, Ovrehus KA, Slomka PJ, Betancur J, Goeller M, Hell MM, Gransar H, Berman DS, Achenbach S, Botker HE, Jensen JM, Lassen JF, Norgaard BL.

Eur Radiol. 2018 Jun;28(6):2655-2664. doi: 10.1007/s00330-017-5223-z. Epub 2018 Jan 19.

40.

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

Murthy VL, Bateman TM, Beanlands RS, Berman DS, Borges-Neto S, Chareonthaitawee P, Cerqueira MD, deKemp RA, DePuey EG, Dilsizian V, Dorbala S, Ficaro EP, Garcia EV, Gewirtz H, Heller GV, Lewin HC, Malhotra S, Mann A, Ruddy TD, Schindler TH, Schwartz RG, Slomka PJ, Soman P, Di Carli MF, Einstein A, Russell R, Corbett JR.

J Nucl Cardiol. 2018 Feb;25(1):269-297. doi: 10.1007/s12350-017-1110-x. No abstract available. Erratum in: J Nucl Cardiol. 2018 Apr 10;:.

PMID:
29243073
41.

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

Murthy VL, Bateman TM, Beanlands RS, Berman DS, Borges-Neto S, Chareonthaitawee P, Cerqueira MD, deKemp RA, DePuey EG, Dilsizian V, Dorbala S, Ficaro EP, Garcia EV, Gewirtz H, Heller GV, Lewin HC, Malhotra S, Mann A, Ruddy TD, Schindler TH, Schwartz RG, Slomka PJ, Soman P, Di Carli MF; SNMMI Cardiovascular Council Board of Directors; ASNC Board of Directors.

J Nucl Med. 2018 Feb;59(2):273-293. doi: 10.2967/jnumed.117.201368. Epub 2017 Dec 14. No abstract available.

42.

Epicardial adipose tissue density and volume are related to subclinical atherosclerosis, inflammation and major adverse cardiac events in asymptomatic subjects.

Goeller M, Achenbach S, Marwan M, Doris MK, Cadet S, Commandeur F, Chen X, Slomka PJ, Gransar H, Cao JJ, Wong ND, Albrecht MH, Rozanski A, Tamarappoo BK, Berman DS, Dey D.

J Cardiovasc Comput Tomogr. 2018 Jan - Feb;12(1):67-73. doi: 10.1016/j.jcct.2017.11.007. Epub 2017 Nov 24.

43.

Prognostic Value of Combined Clinical and Myocardial Perfusion Imaging Data Using Machine Learning.

Betancur J, Otaki Y, Motwani M, Fish MB, Lemley M, Dey D, Gransar H, Tamarappoo B, Germano G, Sharir T, Berman DS, Slomka PJ.

JACC Cardiovasc Imaging. 2018 Jul;11(7):1000-1009. doi: 10.1016/j.jcmg.2017.07.024. Epub 2017 Oct 18.

44.

Quantitative global plaque characteristics from coronary computed tomography angiography for the prediction of future cardiac mortality during long-term follow-up.

Hell MM, Motwani M, Otaki Y, Cadet S, Gransar H, Miranda-Peats R, Valk J, Slomka PJ, Cheng VY, Rozanski A, Tamarappoo BK, Hayes S, Achenbach S, Berman DS, Dey D.

Eur Heart J Cardiovasc Imaging. 2017 Dec 1;18(12):1331-1339. doi: 10.1093/ehjci/jex183.

45.

Assessing LV remodeling in nuclear cardiology.

Germano G, Slomka PJ.

J Nucl Cardiol. 2019 Feb;26(1):233-235. doi: 10.1007/s12350-017-0957-1. Epub 2017 Jun 14. No abstract available.

PMID:
28616800
46.

Erratum to: Automatic determination of cardiovascular risk by CT attenuation correction maps in Rb-82 PET/CT.

Išgum I, de Vos BD, Wolterink JM, Dey D, Berman DS, Rubeaux M, Leiner T, Slomka PJ.

J Nucl Cardiol. 2018 Dec;25(6):2143. doi: 10.1007/s12350-017-0946-4.

PMID:
28589378
47.

Motion-Corrected Imaging of the Aortic Valve with 18F-NaF PET/CT and PET/MRI: A Feasibility Study.

Doris MK, Rubeaux M, Pawade T, Otaki Y, Xie Y, Li D, Tamarappoo BK, Newby DE, Berman DS, Dweck MR, Slomka PJ, Dey D.

J Nucl Med. 2017 Nov;58(11):1811-1814. doi: 10.2967/jnumed.117.194597. Epub 2017 May 25.

48.

Investigation of dose reduction in cardiac perfusion SPECT via optimization and choice of the image reconstruction strategy.

Juan Ramon A, Yang Y, Pretorius PH, Slomka PJ, Johnson KL, King MA, Wernick MN.

J Nucl Cardiol. 2018 Dec;25(6):2117-2128. doi: 10.1007/s12350-017-0920-1. Epub 2017 May 23.

PMID:
28537039
49.

Status of cardiovascular PET radiation exposure and strategies for reduction: An Information Statement from the Cardiovascular PET Task Force.

Case JA, deKemp RA, Slomka PJ, Smith MF, Heller GV, Cerqueira MD.

J Nucl Cardiol. 2017 Aug;24(4):1427-1439. doi: 10.1007/s12350-017-0897-9. Epub 2017 May 16.

PMID:
28512722
50.

Automatic determination of cardiovascular risk by CT attenuation correction maps in Rb-82 PET/CT.

Išgum I, de Vos BD, Wolterink JM, Dey D, Berman DS, Rubeaux M, Leiner T, Slomka PJ.

J Nucl Cardiol. 2018 Dec;25(6):2133-2142. doi: 10.1007/s12350-017-0866-3. Epub 2017 Apr 4. Erratum in: J Nucl Cardiol. 2017 Jun 6;:.

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