A data driven method for estimation of Bavail and appKD using a single injection protocol with [11C]raclopride in the mouse

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dc.contributor.authorWimberley, CAen_AU
dc.contributor.authorFischer, Ken_AU
dc.contributor.authorReilhac, Aen_AU
dc.contributor.authorPichler, BJen_AU
dc.contributor.authorGrégoire, MCen_AU
dc.date.accessioned2018-09-18T05:34:46Zen_AU
dc.date.available2018-09-18T05:34:46Zen_AU
dc.date.issued2014-10-01en_AU
dc.date.statistics2018-09-17en_AU
dc.description.abstractPurpose The partial saturation approach (PSA) is a simple, single injection experimental protocol that will estimate both Bavail and appKD without the use of blood sampling. This makes it ideal for use in longitudinal studies of neurodegenerative diseases in the rodent. The aim of this study was to increase the range and applicability of the PSA by developing a data driven strategy for determining reliable regional estimates of receptor density (Bavail) and in vivo affinity (1/appKD), and validate the strategy using a simulation model. Methods The data driven method uses a time window guided by the dynamic equilibrium state of the system as opposed to using a static time window. To test the method, simulations of partial saturation experiments were generated and validated against experimental data. The experimental conditions simulated included a range of receptor occupancy levels and three different Bavail and appKD values to mimic diseases states. Also the effect of using a reference region and typical PET noise on the stability and accuracy of the estimates was investigated. Results The investigations showed that the parameter estimates in a simulated healthy mouse, using the data driven method were within 10±30% of the simulated input for the range of occupancy levels simulated. Throughout all experimental conditions simulated, the accuracy and robustness of the estimates using the data driven method were much improved upon the typical method of using a static time window, especially at low receptor occupancy levels. Introducing a reference region caused a bias of approximately 10% over the range of occupancy levels. Conclusions Based on extensive simulated experimental conditions, it was shown the data driven method provides accurate and precise estimates of Bavail and appKD for a broader range of conditions compared to the original method. © 2014 Elsevier Inc.en_AU
dc.identifier.citationWimberley, C. J., Fischer, K., Reilhac, A., Pichler, B. J., & Grégoire, M. C. (2014). A data driven method for estimation of Bavail and appKD using a single injection protocol with [11C]raclopride in the mouse. NeuroImage, 99, 365-376. doi:10.1016/j.neuroimage.2014.05.050en_AU
dc.identifier.govdoc8901en_AU
dc.identifier.issn1053-8119en_AU
dc.identifier.journaltitleNeuroImageen_AU
dc.identifier.pagination365-376en_AU
dc.identifier.urihttps://doi.org/10.1016/j.neuroimage.2014.05.050en_AU
dc.identifier.urihttp://apo.ansto.gov.au/dspace/handle/10238/9014en_AU
dc.identifier.volume99en_AU
dc.language.isoenen_AU
dc.publisherElsevier Inc.en_AU
dc.subjectDopamineen_AU
dc.subjectReceptorsen_AU
dc.subjectDiseasesen_AU
dc.subjectCentral nervous systemen_AU
dc.subjectMental disordersen_AU
dc.subjectIn vivoen_AU
dc.subjectPositron computed tomographyen_AU
dc.titleA data driven method for estimation of Bavail and appKD using a single injection protocol with [11C]raclopride in the mouseen_AU
dc.typeJournal Articleen_AU
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