Quantitation of multiple injection dynamic PET scans: an investigation of the benefits of pooling data from separate scans when mapping kinetics

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dc.contributor.authorGu, Fengyun
dc.contributor.authorO'Sullivan, Finbarr
dc.contributor.authorMuzi, Mark
dc.contributor.authorMankoff, David A.
dc.contributor.funderScience Foundation Irelanden
dc.contributor.funderNational Cancer Instituteen
dc.date.accessioned2021-10-28T10:14:10Z
dc.date.available2021-10-28T10:14:10Z
dc.date.issued2021-07-01
dc.description.abstractMultiple injection dynamic positron emission tomography (PET) scanning is used in the clinical management of certain groups of patients and in medical research. The analysis of these studies can be approached in two ways: (i) separate analysis of data from individual tracer injections, or (ii), concatenate/pool data from separate injections and carry out a combined analysis. The simplicity of separate analysis has some practical appeal but may not be statistically efficient. We use a linear model framework associated with a kinetic mapping scheme to develop a simplified theoretical understanding of separate and combined analysis. The theoretical framework is explored numerically using both 1D and 2D simulation models. These studies are motivated by the breast cancer flow-metabolism mismatch studies involving 15O-water (H2O) and 18F-Fluorodeoxyglucose (FDG) and repeat 15O-H2O injections used in brain activation investigations. Numerical results are found to be substantially in line with the simple theoretical analysis: mean square error characteristics of alternative methods are well described by factors involving the local voxel-level resolution of the imaging data, the relative activities of the individual scans and the number of separate injections involved. While voxel-level resolution has dependence on scan dose, after adjustment for this effect, the impact of a combined analysis is understood in simple terms associated with the linear model used for kinetic mapping. This is true for both data reconstructed by direct filtered backprojection or iterative maximum likelihood. The proposed analysis has potential to be applied to the emerging long axial field-of-view PET scanners.en
dc.description.sponsorshipNational Cancer Institute USA (Grant R33-CA225310 and R50-CA211270)en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.articleid135010en
dc.identifier.citationGu, F., O'Sullivan, F., Muzi, M. and Mankoff, D. A. (2021) 'Quantitation of multiple injection dynamic PET scans: an investigation of the benefits of pooling data from separate scans when mapping kinetics', Physics in Medicine & Biology, doi:en
dc.identifier.doi10.1088/1361-6560/ac0683en
dc.identifier.eissn1361-6560
dc.identifier.endpage22en
dc.identifier.issn0031-9155
dc.identifier.journaltitlePhysics in Medicine and Biologyen
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/12124
dc.identifier.volume66en
dc.language.isoenen
dc.publisherIOP Publishingen
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Principal Investigator Programme (PI)/11/PI/1027/IE/Statistical Methods for Molecular Imaging of Cancer with PET/en
dc.relation.urihttps://iopscience.iop.org/article/10.1088/1361-6560/ac0683
dc.rights© 2021 Institute of Physics and Engineering in Medicine. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectDynamic PETen
dc.subjectNon-parametric residue mappingen
dc.subjectH2O-FDG dual-tracer studyen
dc.subjectRepeat H2O studyen
dc.subjectCombined kinetic analysisen
dc.subjectFBP and ML reconstructionsen
dc.titleQuantitation of multiple injection dynamic PET scans: an investigation of the benefits of pooling data from separate scans when mapping kineticsen
dc.typeArticle (peer-reviewed)en
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