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Items: 1 to 20 of 184

1.

Quantitative assessment of myocardial blood flow--clinical and research applications.

Schindler TH, Quercioli A, Valenta I, Ambrosio G, Wahl RL, Dilsizian V.

Semin Nucl Med. 2014 Jul;44(4):274-93. doi: 10.1053/j.semnuclmed.2014.04.002. Review.

PMID:
24948151
2.

Cardiac PET imaging for the detection and monitoring of coronary artery disease and microvascular health.

Schindler TH, Schelbert HR, Quercioli A, Dilsizian V.

JACC Cardiovasc Imaging. 2010 Jun;3(6):623-40. doi: 10.1016/j.jcmg.2010.04.007. Review.

3.

Longitudinal myocardial blood flow gradient and CAD detection.

Valenta I, Wahl RL, Schindler TH.

Curr Cardiol Rep. 2015 Jan;17(1):550. doi: 10.1007/s11886-014-0550-z. Review.

PMID:
25417123
4.

Quantitative PET/CT measures of myocardial flow reserve and atherosclerosis for cardiac risk assessment and predicting adverse patient outcomes.

Valenta I, Dilsizian V, Quercioli A, Ruddy TD, Schindler TH.

Curr Cardiol Rep. 2013 Mar;15(3):344. doi: 10.1007/s11886-012-0344-0. Review.

PMID:
23397541
5.

Diagnostic value of PET-measured longitudinal flow gradient for the identification of coronary artery disease.

Valenta I, Quercioli A, Schindler TH.

JACC Cardiovasc Imaging. 2014 Apr;7(4):387-96. doi: 10.1016/j.jcmg.2014.01.001. Epub 2014 Mar 13.

6.

Potential Role of Cardiovascular Imaging in Improving Cardiovascular Outcome in Coronary Artery Disease.

Valenta I, Mirpour S, Marashdeh W, Schindler TH.

Curr Pharm Des. 2016;22(37):5718-5729.

PMID:
27526791
7.

The influence of insulin resistance, obesity, and diabetes mellitus on vascular tone and myocardial blood flow.

Valenta I, Dilsizian V, Quercioli A, Schelbert HR, Schindler TH.

Curr Cardiol Rep. 2012 Apr;14(2):217-25. doi: 10.1007/s11886-011-0240-z. Review.

PMID:
22205177
8.

Cardiac PET/Computed Tomography Applications and Cardiovascular Outcome.

Schindler TH.

PET Clin. 2015 Jul;10(3):441-59. doi: 10.1016/j.cpet.2015.03.009. Epub 2015 Apr 16. Review.

PMID:
26099678
9.

Positron-emitting myocardial blood flow tracers and clinical potential.

Schindler TH.

Prog Cardiovasc Dis. 2015 May-Jun;57(6):588-606. doi: 10.1016/j.pcad.2015.01.001. Epub 2015 Jan 27. Review.

PMID:
25637500
10.

Positron Emission Tomography-Determined Hyperemic Flow, Myocardial Flow Reserve, and Flow Gradient-Quo Vadis?

Leucker TM, Valenta I, Schindler TH.

Front Cardiovasc Med. 2017 Jul 17;4:46. doi: 10.3389/fcvm.2017.00046. eCollection 2017. Review.

11.

Myocardial blood flow: Putting it into clinical perspective.

Schindler TH.

J Nucl Cardiol. 2016 Oct;23(5):1056-1071. doi: 10.1007/s12350-015-0372-4. Epub 2015 Dec 28.

PMID:
26711100
12.

Absolute quantitation of myocardial blood flow in human subjects with or without myocardial ischemia using dynamic flurpiridaz F 18 PET.

Packard RR, Huang SC, Dahlbom M, Czernin J, Maddahi J.

J Nucl Med. 2014 Sep;55(9):1438-44. doi: 10.2967/jnumed.114.141093. Epub 2014 Jul 28.

13.

Feasibility and operator variability of myocardial blood flow and reserve measurements with ⁹⁹mTc-sestamibi quantitative dynamic SPECT/CT imaging.

Klein R, Hung GU, Wu TC, Huang WS, Li D, deKemp RA, Hsu B.

J Nucl Cardiol. 2014 Dec;21(6):1075-88. doi: 10.1007/s12350-014-9971-8. Epub 2014 Oct 4.

PMID:
25280761
14.

SPECT myocardial blood flow quantitation toward clinical use: a comparative study with 13N-Ammonia PET myocardial blood flow quantitation.

Hsu B, Hu LH, Yang BH, Chen LC, Chen YK, Ting CH, Hung GU, Huang WS, Wu TC.

Eur J Nucl Med Mol Imaging. 2017 Jan;44(1):117-128. Epub 2016 Sep 1.

PMID:
27585576
15.

Added prognostic value of myocardial blood flow quantitation in rubidium-82 positron emission tomography imaging.

Farhad H, Dunet V, Bachelard K, Allenbach G, Kaufmann PA, Prior JO.

Eur Heart J Cardiovasc Imaging. 2013 Dec;14(12):1203-10. doi: 10.1093/ehjci/jet068. Epub 2013 May 9.

PMID:
23660750
16.

Quantitative assessment of myocardial perfusion in the detection of significant coronary artery disease: cutoff values and diagnostic accuracy of quantitative [(15)O]H2O PET imaging.

Danad I, Uusitalo V, Kero T, Saraste A, Raijmakers PG, Lammertsma AA, Heymans MW, Kajander SA, Pietilä M, James S, Sörensen J, Knaapen P, Knuuti J.

J Am Coll Cardiol. 2014 Oct 7;64(14):1464-75. doi: 10.1016/j.jacc.2014.05.069.

17.

Underestimation of myocardial blood flow by dynamic perfusion CT: Explanations by two-compartment model analysis and limited temporal sampling of dynamic CT.

Ishida M, Kitagawa K, Ichihara T, Natsume T, Nakayama R, Nagasawa N, Kubooka M, Ito T, Uno M, Goto Y, Nagata M, Sakuma H.

J Cardiovasc Comput Tomogr. 2016 May-Jun;10(3):207-14. doi: 10.1016/j.jcct.2016.01.008. Epub 2016 Jan 13.

PMID:
26851149
18.

Relative flow reserve derived from quantitative perfusion imaging may not outperform stress myocardial blood flow for identification of hemodynamically significant coronary artery disease.

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, van Royen N, Knuuti J, Knaapen P.

Circ Cardiovasc Imaging. 2015 Jan;8(1). pii: e002400. doi: 10.1161/CIRCIMAGING.114.002400.

19.

PET: Is myocardial flow quantification a clinical reality?

Saraste A, Kajander S, Han C, Nesterov SV, Knuuti J.

J Nucl Cardiol. 2012 Oct;19(5):1044-59. doi: 10.1007/s12350-012-9588-8. Review.

PMID:
22733534
20.

Impaired global myocardial flow dynamics despite normal left ventricular function and regional perfusion in chronic kidney disease: a quantitative analysis of clinical 82Rb PET/CT studies.

Fukushima K, Javadi MS, Higuchi T, Bravo PE, Chien D, Lautamäki R, Merrill J, Nekolla SG, Bengel FM.

J Nucl Med. 2012 Jun;53(6):887-93. doi: 10.2967/jnumed.111.099325. Epub 2012 May 4.

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