Carlo De Cecco to Myocardial Perfusion Imaging
This is a "connection" page, showing publications Carlo De Cecco has written about Myocardial Perfusion Imaging.
Connection Strength
3.823
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Prognostic Value of Stress Dynamic Myocardial Perfusion CT in a Multicenter Population With Known or Suspected Coronary Artery Disease. AJR Am J Roentgenol. 2017 Apr; 208(4):761-769.
Score: 0.503
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Global quantification of left ventricular myocardial perfusion at dynamic CT imaging: Prognostic value. J Cardiovasc Comput Tomogr. 2017 Jan - Feb; 11(1):16-24.
Score: 0.499
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CT myocardial perfusion: state of the science. Minerva Cardioangiol. 2017 Jun; 65(3):252-264.
Score: 0.497
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Dynamic CT myocardial perfusion imaging. Eur J Radiol. 2016 Oct; 85(10):1893-1899.
Score: 0.485
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Absolute Versus Relative Myocardial Blood Flow by Dynamic CT Myocardial Perfusion Imaging in Patients With Anatomic Coronary Artery Disease. AJR Am J Roentgenol. 2015 Jul; 205(1):W67-72.
Score: 0.449
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The Feasibility, Tolerability, Safety, and Accuracy of Low-radiation Dynamic Computed Tomography Myocardial Perfusion Imaging With Regadenoson Compared With Single-photon Emission Computed Tomography. J Thorac Imaging. 2021 Nov 01; 36(6):345-352.
Score: 0.174
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Design of CTP-PRO study (impact of stress Cardiac computed Tomography myocardial Perfusion on downstream resources and PROgnosis in patients with suspected or known coronary artery disease: A multicenter international study). Int J Cardiol. 2019 10 01; 292:253-257.
Score: 0.148
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Prognostic value of CT myocardial perfusion imaging and CT-derived fractional flow reserve for major adverse cardiac events in patients with coronary artery disease. J Cardiovasc Comput Tomogr. 2019 May - Jun; 13(3):26-33.
Score: 0.144
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Iodine quantification based on rest / stress perfusion dual energy CT to differentiate ischemic, infarcted and normal myocardium. Eur J Radiol. 2019 Mar; 112:136-143.
Score: 0.144
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Intermodel disagreement of myocardial blood flow estimation from dynamic CT perfusion imaging. Eur J Radiol. 2019 Jan; 110:175-180.
Score: 0.142
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Dynamic CT myocardial perfusion imaging identifies early perfusion abnormalities in diabetes and hypertension: Insights from a multicenter registry. J Cardiovasc Comput Tomogr. 2016 Jul-Aug; 10(4):301-8.
Score: 0.120
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Semiautomated Global Quantification of Left Ventricular Myocardial Perfusion at Stress Dynamic CT:: Diagnostic Accuracy for Detection of Territorial Myocardial Perfusion Deficits Compared to Visual Assessment. Acad Radiol. 2016 Apr; 23(4):429-37.
Score: 0.117
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CT myocardial perfusion imaging. AJR Am J Roentgenol. 2015 Mar; 204(3):487-97.
Score: 0.110
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Beyond stenosis detection: computed tomography approaches for determining the functional relevance of coronary artery disease. Radiol Clin North Am. 2015 Mar; 53(2):317-34.
Score: 0.108
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Cardiac CT for myocardial ischaemia detection and characterization--comparative analysis. Br J Radiol. 2014 Nov; 87(1043):20140159.
Score: 0.106
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Machine Learning and Deep Neural Networks Applications in Computed Tomography for Coronary Artery Disease and Myocardial Perfusion. J Thorac Imaging. 2020 May; 35 Suppl 1:S58-S65.
Score: 0.039
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Rationale and design of the quantification of myocardial blood flow using dynamic PET/CTA-fused imagery (DEMYSTIFY) to determine physiological significance of specific coronary lesions. J Nucl Cardiol. 2020 06; 27(3):1030-1039.
Score: 0.039