Assessment of a statistical AIF extraction method for dynamic PET studies with 15O water and 18F fluorodeoxyglucose in locally advanced breast cancer patients

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dc.contributor.author O'Sullivan, Finbarr
dc.contributor.author O'Sullivan, Janet N.
dc.contributor.author Huang, Jian
dc.contributor.author Doot, Robert
dc.contributor.author Muzi, Mark
dc.contributor.author Schubert, Erin
dc.contributor.author Peterson, Lanell
dc.contributor.author Dunnwald, Lisa K.
dc.contributor.author Mankoff, David M.
dc.date.accessioned 2018-07-18T11:56:19Z
dc.date.available 2018-07-18T11:56:19Z
dc.date.issued 2018
dc.identifier.citation O’Sullivan, F., O'Sullivan, J. N., Huang, J., Doot, R., Muzi, M., Schubert, E., Peterson, L., Dunnwald, L. K. and Mankoff, D. M. (2017) 'Assessment of a statistical AIF extraction method for dynamic PET studies with 15O water and 18F fluorodeoxyglucose in locally advanced breast cancer patients', Journal of Medical Imaging, 5(1), 011010 (9pp). doi: 10.1117/1.JMI.5.1.011010 en
dc.identifier.volume 5
dc.identifier.issued 1
dc.identifier.startpage 1
dc.identifier.endpage 9
dc.identifier.issn 2329-4302
dc.identifier.uri http://hdl.handle.net/10468/6473
dc.identifier.doi 10.1117/1.JMI.5.1.011010
dc.description.abstract Blood flow-metabolism mismatch from dynamic positron emission tomography (PET) studies with O-15-labeled water (H2O) and F-18-labeled fluorodeoxyglucose (FDG) has been shown to be a promising diagnostic for locally advanced breast cancer (LABCa) patients. The mismatch measurement involves kinetic analysis with the arterial blood time course (AIF) as an input function. We evaluate the use of a statistical method for AIF extraction (SAIF) in these studies. Fifty three LABCa patients had dynamic PET studies with H2O and FDG. For each PET study, two AIFs were recovered, an SAIF extraction and also a manual extraction based on a region of interest placed over the left ventricle (LV-ROI). Blood flow-metabolism mismatch was obtained with each AIF, and kinetic and prognostic reliability comparisons were made. Strong correlations were found between kinetic assessments produced by both AIFs. SAIF AIFs retained the full prognostic value, for pathologic response and overall survival, of LV-ROI AIFs. (c) The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI. en
dc.description.sponsorship National Institutes of Health (U01-CA148131, P50-CA138293, R50-CA211270, PO1-CA-42045) en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Society of Photo-optical Instrumentation Engineers (SPIE) en
dc.relation.uri https://www.spiedigitallibrary.org/journals/journal-of-medical-imaging/volume-5/issue-01/011010/Assessment-of-a-statistical-AIF-extraction-method-for-dynamic-PET/10.1117/1.JMI.5.1.011010.full?SSO=1
dc.rights © 2017, the Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI. en
dc.rights.uri https://creativecommons.org/licenses/by/3.0/?theme=Running_Club
dc.subject AIF extraction en
dc.subject Breast cancer en
dc.subject Blood flow-metabolism mismatch en
dc.subject Physiologically based pharmacokinetic model en
dc.subject Kinetic analysis en
dc.subject Positron emission tomography en
dc.title Assessment of a statistical AIF extraction method for dynamic PET studies with 15O water and 18F fluorodeoxyglucose in locally advanced breast cancer patients en
dc.type Article (peer-reviewed) en
dc.internal.authorcontactother Finbarr O’Sullivan, Mathematical Sciences, University College Cork, Cork, Ireland. +353-21-490-3000 Email: f.osullivan@ucc.ie en
dc.internal.availability Full text available en
dc.description.version Published Version en
dc.contributor.funder Science Foundation Ireland
dc.contributor.funder National Institutes of Health
dc.description.status Peer reviewed en
dc.identifier.journaltitle Journal of Medical Imaging en
dc.internal.IRISemailaddress f.osullivan@ucc.ie en
dc.identifier.articleid 11010
dc.relation.project info:eu-repo/grantAgreement/SFI/SFI Principal Investigator Programme (PI)/11/PI/1027/IE/Statistical Methods for Molecular Imaging of Cancer with PET/


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© 2017, the Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI. Except where otherwise noted, this item's license is described as © 2017, the Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
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