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Items: 1 to 20 of 142

1.

Myocardial density analysis utilizing automated myocardial defect analysis software on resting 320-detector MDCT.

Troupis JM, Karge A, Seneviratne S, Nasis A, Ang EC, Ko BS, Nandurkar D, Paul E, Hilling-Smith R, Cameron J.

Int J Cardiovasc Imaging. 2013 Jun;29(5):1121-7. doi: 10.1007/s10554-012-0171-9. Epub 2013 Jan 3.

PMID:
23283562
2.

Detection of myocardial perfusion abnormalities using ultra-low radiation dose regadenoson stress multidetector computed tomography.

Patel AR, Lodato JA, Chandra S, Kachenoura N, Ahmad H, Freed BH, Newby B, Lang RM, Mor-Avi V.

J Cardiovasc Comput Tomogr. 2011 Jul-Aug;5(4):247-54. doi: 10.1016/j.jcct.2011.06.004. Epub 2011 Jun 12.

PMID:
21723516
3.

Myocardial CT perfusion imaging in a large animal model: comparison of dynamic versus single-phase acquisitions.

Schwarz F, Hinkel R, Baloch E, Marcus RP, Hildebrandt K, Sandner TA, Kupatt C, Hoffmann V, Wintersperger BJ, Reiser MF, Theisen D, Nikolaou K, Bamberg F.

JACC Cardiovasc Imaging. 2013 Dec;6(12):1229-38. doi: 10.1016/j.jcmg.2013.05.018. Epub 2013 Oct 23.

4.

Computerized left ventricular regional ejection fraction analysis for detection of ischemic coronary artery disease with multidetector CT angiography.

Zeb I, Li D, Nasir K, Gupta M, Kadakia J, Gao Y, Ma E, Mao SS, Budoff M.

Int J Cardiovasc Imaging. 2013 Mar;29(3):685-92. doi: 10.1007/s10554-012-0121-6. Epub 2012 Sep 14.

5.

Additional diagnostic value of first-pass myocardial perfusion imaging without stress when combined with 64-row detector coronary CT angiography in patients with coronary artery disease.

Osawa K, Miyoshi T, Koyama Y, Hashimoto K, Sato S, Nakamura K, Nishii N, Kohno K, Morita H, Kanazawa S, Ito H.

Heart. 2014 Jul;100(13):1008-15. doi: 10.1136/heartjnl-2013-305468. Epub 2014 Apr 24.

PMID:
24763490
6.

Transmural myocardial perfusion gradients in relation to coronary artery stenoses severity assessed by cardiac multidetector computed tomography.

Linde JJ, Kühl JT, Hove JD, Sørgaard M, Kelbæk H, Nielsen WB, Kofoed KF.

Int J Cardiovasc Imaging. 2015 Jan;31(1):171-80. doi: 10.1007/s10554-014-0530-9. Epub 2014 Sep 7.

PMID:
25194436
7.

Quantitative three-dimensional evaluation of myocardial perfusion during regadenoson stress using multidetector computed tomography.

Mor-Avi V, Lodato JA, Kachenoura N, Chandra S, Freed BH, Newby B, Lang RM, Patel AR.

J Comput Assist Tomogr. 2012 Jul-Aug;36(4):443-9. doi: 10.1097/RCT.0b013e31825833a3.

PMID:
22805675
8.

Comparison of the extent and severity of myocardial perfusion defects measured by CT coronary angiography and SPECT myocardial perfusion imaging.

Tamarappoo BK, Dey D, Nakazato R, Shmilovich H, Smith T, Cheng VY, Thomson LE, Hayes SW, Friedman JD, Germano G, Slomka PJ, Berman DS.

JACC Cardiovasc Imaging. 2010 Oct;3(10):1010-9. doi: 10.1016/j.jcmg.2010.07.011. Erratum in: JACC Cardiovasc Imaging. 2010 Nov;3(11):1205.

9.

Myocardial perfusion defect in patients with coronary artery disease demonstrated by 64-multidetector computed tomography at rest.

Iwasaki K, Matsumoto T.

Clin Cardiol. 2011 Jul;34(7):454-60. doi: 10.1002/clc.20908. Epub 2011 Jun 9.

10.

CAD detection in patients with intermediate-high pre-test probability: low-dose CT delayed enhancement detects ischemic myocardial scar with moderate accuracy but does not improve performance of a stress-rest CT perfusion protocol.

Bettencourt N, Ferreira ND, Leite D, Carvalho M, Ferreira Wda S, Schuster A, Chiribiri A, Leite-Moreira A, Silva-Cardoso J, Nagel E, Gama V.

JACC Cardiovasc Imaging. 2013 Oct;6(10):1062-71. doi: 10.1016/j.jcmg.2013.04.013. Epub 2013 Sep 4.

11.

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
12.

Functional Assessment of Coronary Artery Disease Using Whole-Heart Dynamic Computed Tomographic Perfusion.

Hubbard L, Ziemer B, Lipinski J, Sadeghi B, Javan H, Groves EM, Malkasian S, Molloi S.

Circ Cardiovasc Imaging. 2016 Dec;9(12). pii: e005325.

PMID:
27956409
13.

Functional assessment of coronary artery flow using adenosine stress dual-energy CT: a preliminary study.

Nagao M, Kido T, Watanabe K, Saeki H, Okayama H, Kurata A, Hosokawa K, Higashino H, Mochizuki T.

Int J Cardiovasc Imaging. 2011 Mar;27(3):471-81. doi: 10.1007/s10554-010-9676-2. Epub 2010 Aug 5.

14.

Vulnerable plaque features on coronary CT angiography as markers of inducible regional myocardial hypoperfusion from severe coronary artery stenoses.

Shmilovich H, Cheng VY, Tamarappoo BK, Dey D, Nakazato R, Gransar H, Thomson LE, Hayes SW, Friedman JD, Germano G, Slomka PJ, Berman DS.

Atherosclerosis. 2011 Dec;219(2):588-95. doi: 10.1016/j.atherosclerosis.2011.07.128. Epub 2011 Aug 7.

15.

Aligning coronary anatomy and myocardial perfusion territories: an algorithm for the CORE320 multicenter study.

Cerci RJ, Arbab-Zadeh A, George RT, Miller JM, Vavere AL, Mehra V, Yoneyama K, Texter J, Foster C, Guo W, Cox C, Brinker J, Di Carli M, Lima JA.

Circ Cardiovasc Imaging. 2012 Sep 1;5(5):587-95. Epub 2012 Aug 10.

16.

Additional value of transluminal attenuation gradient in CT angiography to predict hemodynamic significance of coronary artery stenosis.

Stuijfzand WJ, Danad I, Raijmakers PG, Marcu CB, Heymans MW, van Kuijk CC, van Rossum AC, Nieman K, Min JK, Leipsic J, van Royen N, Knaapen P.

JACC Cardiovasc Imaging. 2014 Apr;7(4):374-86. doi: 10.1016/j.jcmg.2013.12.013. Epub 2014 Mar 13.

17.

Signal density of left ventricular myocardial segments and impact of beam hardening artifact: implications for myocardial perfusion assessment by multidetector CT coronary angiography.

Rodríguez-Granillo GA, Rosales MA, Degrossi E, Rodriguez AE.

Int J Cardiovasc Imaging. 2010 Mar;26(3):345-54. doi: 10.1007/s10554-009-9531-5. Epub 2009 Nov 12.

PMID:
19908161
18.

Estimating coronary blood flow using CT transluminal attenuation flow encoding: Formulation, preclinical validation, and clinical feasibility.

Lardo AC, Rahsepar AA, Seo JH, Eslami P, Korley F, Kishi S, Abd T, Mittal R, George RT.

J Cardiovasc Comput Tomogr. 2015 Nov-Dec;9(6):559-66.e1. doi: 10.1016/j.jcct.2015.03.018. Epub 2015 Jun 23.

PMID:
26460186
19.

Optimal timing for first-pass stress CT myocardial perfusion imaging.

Bischoff B, Bamberg F, Marcus R, Schwarz F, Becker HC, Becker A, Reiser M, Nikolaou K.

Int J Cardiovasc Imaging. 2013 Feb;29(2):435-42. doi: 10.1007/s10554-012-0080-y. Epub 2012 Jun 20.

PMID:
22714549
20.

Utility of coronary CT angiography in outpatients with hypertrophic cardiomyopathy presenting with angina symptoms.

Shariat M, Thavendiranathan P, Nguyen E, Wintersperger B, Paul N, Rakowski H, Crean AM.

J Cardiovasc Comput Tomogr. 2014 Nov-Dec;8(6):429-37. doi: 10.1016/j.jcct.2014.09.007. Epub 2014 Sep 19.

PMID:
25467830

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