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dc.contributor.authorDenis-Bacelar, AM
dc.contributor.authorCronin, SE
dc.contributor.authorDa Pieve, C
dc.contributor.authorPaul, RL
dc.contributor.authorEccles, SA
dc.contributor.authorSpinks, TJ
dc.contributor.authorBox, C
dc.contributor.authorHall, A
dc.contributor.authorSosabowski, JK
dc.contributor.authorKramer-Marek, G
dc.contributor.authorFlux, GD
dc.date.accessioned2016-12-12T14:03:43Z
dc.date.issued2016-11-25
dc.identifier.citationEJNMMI research, 2016, 6 (1), pp. 85 - ?
dc.identifier.issn2191-219X
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/328
dc.identifier.eissn2191-219X
dc.identifier.doi10.1186/s13550-016-0238-z
dc.description.abstractBACKGROUND: Accurate quantification in molecular imaging is essential to improve the assessment of novel drugs and compare the radiobiological effects of therapeutic agents prior to in-human studies. The aim of this study was to investigate the challenges and feasibility of pre-clinical quantitative imaging and mouse-specific dosimetry of 111In-labelled radiotracers. Attenuation, scatter and partial volume effects were studied using phantom experiments, and an activity calibration curve was obtained for varying sphere sizes. Six SK-OV-3-tumour bearing mice were injected with 111In-labelled HER2-targeting monoclonal antibodies (mAbs) (range 5.58-8.52 MBq). Sequential SPECT imaging up to 197 h post-injection was performed using the Albira SPECT/PET/CT pre-clinical scanner. Mice were culled for quantitative analysis of biodistribution studies. The tumour activity, mass and percentage of injected activity per gram of tissue (%IA/g) were calculated at the final scan time point and compared to the values determined from the biodistribution data. Delivered 111In-labelled mAbs tumour absorbed doses were calculated using mouse-specific convolution dosimetry, and absorbed doses for 90Y-labelled mAbs were extrapolated under the assumptions of equivalent injected activities, biological half-lives and uptake distributions as for 111In. RESULTS: For the sphere sizes investigated (volume 0.03-1.17 ml), the calibration factor varied by a factor of 3.7, whilst for the range of tumour masses in the mice (41-232 mg), the calibration factor changed by a factor of 2.5. Comparisons between the mice imaging and the biodistribution results showed a statistically significant correlation for the tumour activity (r = 0.999, P < 0.0001) and the tumour mass calculations (r = 0.977, P = 0.0008), whilst no correlation was found for the %IA/g (r = 0.521, P = 0.29). Median tumour-absorbed doses per injected activity of 52 cGy/MBq (range 36-69 cGy/MBq) and 649 cGy/MBq (range 441-950 cGy/MBq) were delivered by 111In-labelled mAbs and extrapolated for 90Y-labelled mAbs, respectively. CONCLUSIONS: This study demonstrates the need for multidisciplinary efforts to standardise imaging and dosimetry protocols in pre-clinical imaging. Accurate image quantification can improve the calculation of the activity, %IA/g and absorbed dose. Diagnostic imaging could be used to estimate the injected activities required for therapeutic studies, potentially reducing the number of animals used.
dc.formatPrint-Electronic
dc.format.extent85 - ?
dc.languageeng
dc.language.isoeng
dc.publisherSPRINGER HEIDELBERG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.titlePre-clinical quantitative imaging and mouse-specific dosimetry for 111In-labelled radiotracers.
dc.typeJournal Article
dcterms.dateAccepted2016-11-14
rioxxterms.versionofrecord10.1186/s13550-016-0238-z
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0
rioxxterms.licenseref.startdate2016-12
rioxxterms.typeJournal Article/Review
dc.relation.isPartOfEJNMMI research
pubs.issue1
pubs.notesNo embargo
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Cancer Therapeutics
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Cancer Therapeutics/Preclinical Molecular Imaging
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging/Preclinical Molecular Imaging
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging/Radioisotope Physics
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging/Radioisotope Physics/Radioisotope Physics (hon.)
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging/Radiotherapy Physics Modelling
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Cancer Therapeutics
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Cancer Therapeutics/Preclinical Molecular Imaging
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging/Preclinical Molecular Imaging
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging/Radioisotope Physics
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging/Radioisotope Physics/Radioisotope Physics (hon.)
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging/Radiotherapy Physics Modelling
pubs.publication-statusPublished
pubs.volume6
pubs.embargo.termsNo embargo
icr.researchteamPreclinical Molecular Imaging
icr.researchteamRadioisotope Physics
icr.researchteamRadiotherapy Physics Modelling
dc.contributor.icrauthorDenis-Bacelar, Ana
dc.contributor.icrauthorDa Pieve, Chiara
dc.contributor.icrauthorBox, Carol
dc.contributor.icrauthorKramer-Marek, Gabriela


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