Dynamic contrast-enhanced MRI in mice: An investigation of model parameter uncertainties
Purpose To establish the experimental factors that dominate the uncertainty of hemodynamic parameters in commonly used pharmacokinetic models. Methods By fitting simulation results from a multiregion tissue exchange model (Multiple path, Multiple tracer, Indicator Dilution, 4 region), the precision...
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Veröffentlicht in: | Magnetic resonance in medicine 2015-05, Vol.73 (5), p.1979-1987 |
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container_end_page | 1987 |
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container_issue | 5 |
container_start_page | 1979 |
container_title | Magnetic resonance in medicine |
container_volume | 73 |
creator | Rukat, Tammo Walker-Samuel, Simon Reinsberg, Stefan A. |
description | Purpose
To establish the experimental factors that dominate the uncertainty of hemodynamic parameters in commonly used pharmacokinetic models.
Methods
By fitting simulation results from a multiregion tissue exchange model (Multiple path, Multiple tracer, Indicator Dilution, 4 region), the precision and accuracy of hemodynamic parameters in dynamic contrast‐enhanced MRI with four tracer kinetic models is investigated. The impact of various injection rates as well as imprecise knowledge of the arterial input functions is examined.
Results
Fast injections are beneficial for Ktrans precision within the extended Tofts model and within the two‐compartment exchange model but do not affect the other models under investigation. Biases from errors in the arterial input functions are mostly consistent in size and direction for the simple and the extended Tofts model, while they are hardly predictable for the other models. Errors in the hematocrit introduce the greatest loss in parameter accuracy, amounting to an average Ktrans bias of 40% for a 30% overestimation throughout all models.
Conclusion
This simulation study allows the detailed inspection of the isolated impact from various experimental conditions on parameter uncertainty. Because parameter uncertainty comparable to human studies was found, this study represents a validation of preclinical dynamic contrast‐enhanced MRI for modeling human tumor physiology. Magn Reson Med 73:1979–1987, 2015. © 2014 Wiley Periodicals, Inc. |
doi_str_mv | 10.1002/mrm.25319 |
format | Article |
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To establish the experimental factors that dominate the uncertainty of hemodynamic parameters in commonly used pharmacokinetic models.
Methods
By fitting simulation results from a multiregion tissue exchange model (Multiple path, Multiple tracer, Indicator Dilution, 4 region), the precision and accuracy of hemodynamic parameters in dynamic contrast‐enhanced MRI with four tracer kinetic models is investigated. The impact of various injection rates as well as imprecise knowledge of the arterial input functions is examined.
Results
Fast injections are beneficial for Ktrans precision within the extended Tofts model and within the two‐compartment exchange model but do not affect the other models under investigation. Biases from errors in the arterial input functions are mostly consistent in size and direction for the simple and the extended Tofts model, while they are hardly predictable for the other models. Errors in the hematocrit introduce the greatest loss in parameter accuracy, amounting to an average Ktrans bias of 40% for a 30% overestimation throughout all models.
Conclusion
This simulation study allows the detailed inspection of the isolated impact from various experimental conditions on parameter uncertainty. Because parameter uncertainty comparable to human studies was found, this study represents a validation of preclinical dynamic contrast‐enhanced MRI for modeling human tumor physiology. Magn Reson Med 73:1979–1987, 2015. © 2014 Wiley Periodicals, Inc.</description><identifier>ISSN: 0740-3194</identifier><identifier>EISSN: 1522-2594</identifier><identifier>DOI: 10.1002/mrm.25319</identifier><identifier>PMID: 25052296</identifier><identifier>CODEN: MRMEEN</identifier><language>eng</language><publisher>United States: Blackwell Publishing Ltd</publisher><subject>Algorithms ; Animals ; Computer Simulation ; Contrast Media - pharmacokinetics ; dynamic contrast-enhanced-MRI ; Hematocrit ; Hemodynamics - physiology ; Humans ; Image Enhancement - methods ; Image Interpretation, Computer-Assisted - methods ; Magnetic Resonance Imaging - methods ; Mice ; Models, Biological ; Models, Theoretical ; perfusion ; permeability ; pharmacokinetic models ; tracer-kinetic models</subject><ispartof>Magnetic resonance in medicine, 2015-05, Vol.73 (5), p.1979-1987</ispartof><rights>2014 Wiley Periodicals, Inc.</rights><rights>2015 Wiley Periodicals, Inc.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4959-b6f971f7a5714be1e9359905430faed2f4e146daa345ffe777c26bc01890b06b3</citedby><orcidid>0000-0002-6186-0077</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fmrm.25319$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fmrm.25319$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1416,1432,27922,27923,45572,45573,46407,46831</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25052296$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Rukat, Tammo</creatorcontrib><creatorcontrib>Walker-Samuel, Simon</creatorcontrib><creatorcontrib>Reinsberg, Stefan A.</creatorcontrib><title>Dynamic contrast-enhanced MRI in mice: An investigation of model parameter uncertainties</title><title>Magnetic resonance in medicine</title><addtitle>Magn. Reson. Med</addtitle><description>Purpose
To establish the experimental factors that dominate the uncertainty of hemodynamic parameters in commonly used pharmacokinetic models.
Methods
By fitting simulation results from a multiregion tissue exchange model (Multiple path, Multiple tracer, Indicator Dilution, 4 region), the precision and accuracy of hemodynamic parameters in dynamic contrast‐enhanced MRI with four tracer kinetic models is investigated. The impact of various injection rates as well as imprecise knowledge of the arterial input functions is examined.
Results
Fast injections are beneficial for Ktrans precision within the extended Tofts model and within the two‐compartment exchange model but do not affect the other models under investigation. Biases from errors in the arterial input functions are mostly consistent in size and direction for the simple and the extended Tofts model, while they are hardly predictable for the other models. Errors in the hematocrit introduce the greatest loss in parameter accuracy, amounting to an average Ktrans bias of 40% for a 30% overestimation throughout all models.
Conclusion
This simulation study allows the detailed inspection of the isolated impact from various experimental conditions on parameter uncertainty. Because parameter uncertainty comparable to human studies was found, this study represents a validation of preclinical dynamic contrast‐enhanced MRI for modeling human tumor physiology. Magn Reson Med 73:1979–1987, 2015. © 2014 Wiley Periodicals, Inc.</description><subject>Algorithms</subject><subject>Animals</subject><subject>Computer Simulation</subject><subject>Contrast Media - pharmacokinetics</subject><subject>dynamic contrast-enhanced-MRI</subject><subject>Hematocrit</subject><subject>Hemodynamics - physiology</subject><subject>Humans</subject><subject>Image Enhancement - methods</subject><subject>Image Interpretation, Computer-Assisted - methods</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Mice</subject><subject>Models, Biological</subject><subject>Models, Theoretical</subject><subject>perfusion</subject><subject>permeability</subject><subject>pharmacokinetic models</subject><subject>tracer-kinetic models</subject><issn>0740-3194</issn><issn>1522-2594</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdkU1v1DAQhi1URLeFQ_8AstRLL2nHX3HNrWrpB9oFtIDozXKSCbhNnMVOgP33Nd2lh55mNPO8o1fzEnLA4JgB8JM-9sdcCWZekBlTnBdcGblDZqAlFHksd8leSncAYIyWr8guV5AxU87I7cU6uN7XtB7CGF0aCww_XaixoYvlDfWB5iW-o2ch978xjf6HG_0Q6NDSfmiwoysXXY8jRjplWRydD6PH9Jq8bF2X8M227pNvl--_nl8X809XN-dn86KWRpmiKlujWaud0kxWyNAIZQwoKaB12PBWIpNl45yQqm1Ra13zsqqBnRqooKzEPjna3F3F4deUDdrepxq7zgUcpmRZeQpSlVyrjB4-Q--GKYbsLlNaMiW1EJl6u6WmqsfGrqLvXVzb_z_LwMkG-OM7XD_tGdh_Ydgchn0Mwy6Wi8cmK4qNwqcR_z4pXLy3pRZa2e8fryx8_vKBi6W0C_EAUE6J5w</recordid><startdate>201505</startdate><enddate>201505</enddate><creator>Rukat, Tammo</creator><creator>Walker-Samuel, Simon</creator><creator>Reinsberg, Stefan A.</creator><general>Blackwell Publishing Ltd</general><general>Wiley Subscription Services, Inc</general><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>8FD</scope><scope>FR3</scope><scope>K9.</scope><scope>M7Z</scope><scope>P64</scope><scope>7QO</scope><orcidid>https://orcid.org/0000-0002-6186-0077</orcidid></search><sort><creationdate>201505</creationdate><title>Dynamic contrast-enhanced MRI in mice: An investigation of model parameter uncertainties</title><author>Rukat, Tammo ; Walker-Samuel, Simon ; Reinsberg, Stefan A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4959-b6f971f7a5714be1e9359905430faed2f4e146daa345ffe777c26bc01890b06b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Algorithms</topic><topic>Animals</topic><topic>Computer Simulation</topic><topic>Contrast Media - pharmacokinetics</topic><topic>dynamic contrast-enhanced-MRI</topic><topic>Hematocrit</topic><topic>Hemodynamics - physiology</topic><topic>Humans</topic><topic>Image Enhancement - methods</topic><topic>Image Interpretation, Computer-Assisted - methods</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Mice</topic><topic>Models, Biological</topic><topic>Models, Theoretical</topic><topic>perfusion</topic><topic>permeability</topic><topic>pharmacokinetic models</topic><topic>tracer-kinetic models</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rukat, Tammo</creatorcontrib><creatorcontrib>Walker-Samuel, Simon</creatorcontrib><creatorcontrib>Reinsberg, Stefan A.</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biochemistry Abstracts 1</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Biotechnology Research Abstracts</collection><jtitle>Magnetic resonance in medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rukat, Tammo</au><au>Walker-Samuel, Simon</au><au>Reinsberg, Stefan A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dynamic contrast-enhanced MRI in mice: An investigation of model parameter uncertainties</atitle><jtitle>Magnetic resonance in medicine</jtitle><addtitle>Magn. Reson. Med</addtitle><date>2015-05</date><risdate>2015</risdate><volume>73</volume><issue>5</issue><spage>1979</spage><epage>1987</epage><pages>1979-1987</pages><issn>0740-3194</issn><eissn>1522-2594</eissn><coden>MRMEEN</coden><abstract>Purpose
To establish the experimental factors that dominate the uncertainty of hemodynamic parameters in commonly used pharmacokinetic models.
Methods
By fitting simulation results from a multiregion tissue exchange model (Multiple path, Multiple tracer, Indicator Dilution, 4 region), the precision and accuracy of hemodynamic parameters in dynamic contrast‐enhanced MRI with four tracer kinetic models is investigated. The impact of various injection rates as well as imprecise knowledge of the arterial input functions is examined.
Results
Fast injections are beneficial for Ktrans precision within the extended Tofts model and within the two‐compartment exchange model but do not affect the other models under investigation. Biases from errors in the arterial input functions are mostly consistent in size and direction for the simple and the extended Tofts model, while they are hardly predictable for the other models. Errors in the hematocrit introduce the greatest loss in parameter accuracy, amounting to an average Ktrans bias of 40% for a 30% overestimation throughout all models.
Conclusion
This simulation study allows the detailed inspection of the isolated impact from various experimental conditions on parameter uncertainty. Because parameter uncertainty comparable to human studies was found, this study represents a validation of preclinical dynamic contrast‐enhanced MRI for modeling human tumor physiology. Magn Reson Med 73:1979–1987, 2015. © 2014 Wiley Periodicals, Inc.</abstract><cop>United States</cop><pub>Blackwell Publishing Ltd</pub><pmid>25052296</pmid><doi>10.1002/mrm.25319</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-6186-0077</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Algorithms Animals Computer Simulation Contrast Media - pharmacokinetics dynamic contrast-enhanced-MRI Hematocrit Hemodynamics - physiology Humans Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Magnetic Resonance Imaging - methods Mice Models, Biological Models, Theoretical perfusion permeability pharmacokinetic models tracer-kinetic models |
title | Dynamic contrast-enhanced MRI in mice: An investigation of model parameter uncertainties |
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