SPECT imaging of teboroxime during myocardial blood flow changes
Kinetic parameters and static images from dynamic SPECT imaging of /sup 99m/Tc-teboroxime have been shown to reflect blood flow in dogs and in humans at rest and during adenosine stress. When compartment modeling is used, steady-state physiological conditions are assumed. With standard adenosine str...
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creator | Di Bella, E.V.R. Khare, H.S. Kadrmas, D.J. Gullberg, G.T. |
description | Kinetic parameters and static images from dynamic SPECT imaging of /sup 99m/Tc-teboroxime have been shown to reflect blood flow in dogs and in humans at rest and during adenosine stress. When compartment modeling is used, steady-state physiological conditions are assumed. With standard adenosine stress protocols, imaging of teboroxime would likely involve significant changes in flow, even if performed only for five minutes. These flow changes may significantly bias the kinetic parameter estimates. On the other hand, when static imaging is performed, large flow changes during acquisition may improve contrast. Computer simulations (without tomography) were performed to determine the effect of changing flows on kinetic parameter estimation and on static uptake images. Two canine studies were also performed in which adenosine was given with a standard protocol, and then imaging was repeated with adenosine infusion held constant. The simulations predicted biases on the order of 7% for kinetic washin parameter estimation and 18% for the washout parameter. Contrast for static studies was found to depend critically on the kinetic parameters as well as the stress protocol. The differences in washin contrast from the standard and continuous adenosine canine studies was slightly larger than predicted from the simulations. Optimal imaging of teboroxime with adenosine using compartment modeling will require non-standard adenosine stress protocols, although sub-optimal imaging may still be useful clinically. |
doi_str_mv | 10.1109/NSSMIC.1999.845832 |
format | Conference Proceeding |
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When compartment modeling is used, steady-state physiological conditions are assumed. With standard adenosine stress protocols, imaging of teboroxime would likely involve significant changes in flow, even if performed only for five minutes. These flow changes may significantly bias the kinetic parameter estimates. On the other hand, when static imaging is performed, large flow changes during acquisition may improve contrast. Computer simulations (without tomography) were performed to determine the effect of changing flows on kinetic parameter estimation and on static uptake images. Two canine studies were also performed in which adenosine was given with a standard protocol, and then imaging was repeated with adenosine infusion held constant. The simulations predicted biases on the order of 7% for kinetic washin parameter estimation and 18% for the washout parameter. Contrast for static studies was found to depend critically on the kinetic parameters as well as the stress protocol. 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The simulations predicted biases on the order of 7% for kinetic washin parameter estimation and 18% for the washout parameter. Contrast for static studies was found to depend critically on the kinetic parameters as well as the stress protocol. The differences in washin contrast from the standard and continuous adenosine canine studies was slightly larger than predicted from the simulations. Optimal imaging of teboroxime with adenosine using compartment modeling will require non-standard adenosine stress protocols, although sub-optimal imaging may still be useful clinically.</description><subject>Blood flow</subject><subject>Dogs</subject><subject>Humans</subject><subject>Kinetic theory</subject><subject>Myocardium</subject><subject>Parameter estimation</subject><subject>Predictive models</subject><subject>Protocols</subject><subject>Steady-state</subject><subject>Stress</subject><issn>1082-3654</issn><issn>2577-0829</issn><isbn>9780780356962</isbn><isbn>0780356969</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1999</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj9tKxDAYhIMHsKx9gb3KC7Tmzzl3Sll1YT1A1-slaZJaaTfSrui-vZV1GBj4LoYZhJZASgBibp7r-mldlWCMKTUXmtEzlFGhVEE0NecoN0qT2UxII-kFymDmBZOCX6F8mj7ILC64kiRDt_XrqtribrBtt29xivgQXBrTTzcE7L_GPzgcU2NH39keuz4lj2OfvnHzbvdtmK7RZbT9FPL_XKC3-9W2eiw2Lw_r6m5TdED4oVBSCC0dNMIxBpR7D5bIeUbjGLHgtaUqKMmZdEZYI0JkIZLoqQ0aQEW2QMtTbxdC2H2O8-LxuDvdZ796KUvC</recordid><startdate>1999</startdate><enddate>1999</enddate><creator>Di Bella, E.V.R.</creator><creator>Khare, H.S.</creator><creator>Kadrmas, D.J.</creator><creator>Gullberg, G.T.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>1999</creationdate><title>SPECT imaging of teboroxime during myocardial blood flow changes</title><author>Di Bella, E.V.R. ; Khare, H.S. ; Kadrmas, D.J. ; Gullberg, G.T.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i104t-765586b1c5b33124dd1a06045cb30a1d8a27e76436b95a95ef3ef0fd2ae8117f3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1999</creationdate><topic>Blood flow</topic><topic>Dogs</topic><topic>Humans</topic><topic>Kinetic theory</topic><topic>Myocardium</topic><topic>Parameter estimation</topic><topic>Predictive models</topic><topic>Protocols</topic><topic>Steady-state</topic><topic>Stress</topic><toplevel>online_resources</toplevel><creatorcontrib>Di Bella, E.V.R.</creatorcontrib><creatorcontrib>Khare, H.S.</creatorcontrib><creatorcontrib>Kadrmas, D.J.</creatorcontrib><creatorcontrib>Gullberg, G.T.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Di Bella, E.V.R.</au><au>Khare, H.S.</au><au>Kadrmas, D.J.</au><au>Gullberg, G.T.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>SPECT imaging of teboroxime during myocardial blood flow changes</atitle><btitle>1999 IEEE Nuclear Science Symposium. Conference Record. 1999 Nuclear Science Symposium and Medical Imaging Conference (Cat. No.99CH37019)</btitle><stitle>NSSMIC</stitle><date>1999</date><risdate>1999</risdate><volume>2</volume><spage>1009</spage><epage>1013 vol.2</epage><pages>1009-1013 vol.2</pages><issn>1082-3654</issn><eissn>2577-0829</eissn><isbn>9780780356962</isbn><isbn>0780356969</isbn><abstract>Kinetic parameters and static images from dynamic SPECT imaging of /sup 99m/Tc-teboroxime have been shown to reflect blood flow in dogs and in humans at rest and during adenosine stress. When compartment modeling is used, steady-state physiological conditions are assumed. With standard adenosine stress protocols, imaging of teboroxime would likely involve significant changes in flow, even if performed only for five minutes. These flow changes may significantly bias the kinetic parameter estimates. On the other hand, when static imaging is performed, large flow changes during acquisition may improve contrast. Computer simulations (without tomography) were performed to determine the effect of changing flows on kinetic parameter estimation and on static uptake images. Two canine studies were also performed in which adenosine was given with a standard protocol, and then imaging was repeated with adenosine infusion held constant. The simulations predicted biases on the order of 7% for kinetic washin parameter estimation and 18% for the washout parameter. Contrast for static studies was found to depend critically on the kinetic parameters as well as the stress protocol. The differences in washin contrast from the standard and continuous adenosine canine studies was slightly larger than predicted from the simulations. Optimal imaging of teboroxime with adenosine using compartment modeling will require non-standard adenosine stress protocols, although sub-optimal imaging may still be useful clinically.</abstract><pub>IEEE</pub><doi>10.1109/NSSMIC.1999.845832</doi></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Blood flow Dogs Humans Kinetic theory Myocardium Parameter estimation Predictive models Protocols Steady-state Stress |
title | SPECT imaging of teboroxime during myocardial blood flow changes |
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