Zobrazeno 1 - 10
of 113
pro vyhledávání: '"Jennifer M, Renaud"'
Autor:
Tomoe Hagio, Jonathan B. Moody, Alexis Poitrasson-Rivière, Jennifer M. Renaud, Lora Pierce, Christopher Buckley, Edward P. Ficaro, Venkatesh L. Murthy
Publikováno v:
European Journal of Nuclear Medicine and Molecular Imaging. 50:1028-1033
Autor:
Tong Wang, Kai Yi Wu, Robert C. Miner, Jennifer M. Renaud, Rob S. B. Beanlands, Robert A. deKemp
Publikováno v:
EJNMMI Research, Vol 8, Iss 1, Pp 1-11 (2018)
Abstract Background Graphical methods of radiotracer kinetic modeling in PET are ideal for parametric imaging and data quality assurance but can suffer from noise bias. This study compared the Logan and Multilinear Analysis-1 (MA1) graphical models t
Externí odkaz:
https://doaj.org/article/7079b7ffff574e8f80b618dfe4b39ac2
Autor:
Tomoe Hagio, Alexis Poitrasson-Rivière, Jonathan B. Moody, Jennifer M. Renaud, Liliana Arida-Moody, Ravi V. Shah, Edward P. Ficaro, Venkatesh L. Murthy
Publikováno v:
European Journal of Nuclear Medicine and Molecular Imaging. 49:3140-3149
Autor:
Jennifer M. Renaud, Alexis Poitrasson-Rivière, Richard L Weinberg, Liliana Arida-Moody, Jonathan B. Moody, Venkatesh L. Murthy, Christopher Buckley, Tomoe Hagio, Edward P. Ficaro
Publikováno v:
Journal of Nuclear Cardiology. 29:2262-2270
13N-ammonia and 18F-flurpiridaz require longer delays between rest and stress studies to allow for decay, lowering clinical throughput. In this study, we investigated the impact of residual subtraction on MBF and MFR estimates, as well as its effects
Autor:
Jonathan B. Moody, Venkatesh L. Murthy, Jennifer M. Renaud, Liliana Arida-Moody, Edward P. Ficaro, Alexis Poitrasson-Rivière, Tomoe Hagio
Publikováno v:
Journal of Nuclear Cardiology. 29:2612-2623
As clinical use of myocardial blood flow (MBF) increases, dynamic series are becoming part of the typical workflow. The methods and parameters used to reconstruct these series require investigation to ensure accurate quantification. Fifty-nine rest/s
Autor:
Tomoe Hagio, Venkatesh L. Murthy, Alexis Poitrasson-Rivière, Jennifer M. Renaud, Liliana Arida-Moody, Edward P. Ficaro, Jonathan B. Moody
Publikováno v:
Journal of Nuclear Cardiology. 29:2078-2089
PET myocardial flow reserve (MFR) has established diagnostic and prognostic value. Technological advances have now enabled SPECT MFR quantification. We investigated whether SPECT MFR precision is sufficient for clinical categorization of patients. Va
Autor:
Aaryn Lavallee, Jason G.E. Zelt, Benjamin H. Rotstein, Rob S. Beanlands, Jennifer M. Renaud, Nicole Kaps, Jean Z. Wang, James A. Fallavollita, Robert A. deKemp, John M. Canty
Publikováno v:
Journal of Nuclear Cardiology. 29:413-425
In ischemic cardiomyopathy patients, cardiac sympathetic nervous system dysfunction is a predictor of sudden cardiac arrest (SCA). This study compared abnormal innervation and perfusion measured by [11C]meta-hydroxyephedrine (HED) vs [13N]ammonia (NH
Autor:
Anne M. Smith, Venkatesh L. Murthy, Edward P. Ficaro, Jennifer M. Renaud, Tomoe Hagio, Jonathan B. Moody, Liliana Arida-Moody, Alexis Poitrasson-Rivière
Publikováno v:
European Journal of Nuclear Medicine and Molecular Imaging. 48:3835-3846
Clinical measurement of myocardial blood flow (MBF) has emerged as an important component of routine PET-CT assessment of myocardial perfusion in patients with known or suspected coronary artery disease. Although multiple society guidelines recommend
Autor:
Daniel Juneau, Terrence D. Ruddy, Nicole Kaps, Robert A. deKemp, Jennifer M. Renaud, Kai Yi Wu, Rob S. Beanlands, Jason Yao
Publikováno v:
Journal of Nuclear Cardiology. 28:835-850
Myocardial flow reserve (MFR) measurement provides incremental diagnostic and prognostic information. The objective of the current study was to investigate the application of a simplified model for the estimation of MFR using only the stress/rest myo
Autor:
Robert Jh. Miller, Piotr J. Slomka, Jennifer M. Renaud, Jonathan B. Moody, Edward P. Ficaro, Ernest V. Garcia
Publikováno v:
Journal of Nuclear Medicine. 62:168-176
Quantitative analysis has been applied extensively to image processing and interpretation in nuclear cardiology to improve disease diagnosis and risk stratification. This is Part 2 of a two-part continuing medical education article, which will review