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dc.contributor.authorElschot, Mattijs
dc.contributor.authorSelnæs, Kirsten Margrete
dc.contributor.authorSandsmark, Elise
dc.contributor.authorKrüger-Stokke, Brage
dc.contributor.authorStørkersen, Øystein
dc.contributor.authorTessem, May-Britt
dc.contributor.authorMoestue, Siver Andreas
dc.contributor.authorBertilsson, Helena
dc.contributor.authorBathen, Tone Frost
dc.date.accessioned2016-11-14T15:15:47Z
dc.date.accessioned2016-11-16T11:30:58Z
dc.date.available2016-11-14T15:15:47Z
dc.date.available2016-11-16T11:30:58Z
dc.date.issued2016
dc.identifier.citationEuropean Journal of Nuclear Medicine and Molecular Imaging 2016nb_NO
dc.identifier.issn1619-7089
dc.identifier.urihttp://hdl.handle.net/11250/2421292
dc.description.abstractPurpose: [18F]Fluciclovine PET imaging shows promise for the assessment of prostate cancer. The purpose of this PET/MRI study is to optimise the PET imaging protocol for detection and characterisation of primary prostate cancer, by quantitative evaluation of the dynamic uptake of [18F]Fluciclovine in cancerous and benign tissue. Methods: Patients diagnosed with high-risk primary prostate cancer underwent an integrated [18F]Fluciclovine PET/MRI exam before robot-assisted radical prostatectomy with extended pelvic lymph node dissection. Volumes-of-interest (VOIs) of selected organs (prostate, bladder, blood pool) and sub-glandular prostate structures (tumour, benign prostatic hyperplasia (BPH), inflammation, healthy tissue) were delineated on T2-weighted MR images, using whole-mount histology samples as a reference. Three candidate windows for optimal PET imaging were identified based on the dynamic curves of the mean and maximum standardised uptake value (SUVmean and SUVmax, respectively). The statistical significance of differences in SUV between VOIs were analysed using Wilcoxon rank sum tests (p<0.05, adjusted for multiple testing). Results: Twenty-eight (28) patients [median (range) age: 66 (55-72) years] were included. An early (W1: 5-10 minutes post-injection) and two late candidate windows (W2: 18-23; W3: 33-38 minutes post-injection) were selected. Late compared with early imaging was better able to distinguish between malignant and benign tissue [W3, SUVmean: tumour vs. BPH 2.5 vs. 2.0 (p<0.001), tumour vs. inflammation 2.5 vs. 1.7 (p<0.001), tumour vs. healthy tissue 2.5 vs. 2.0 (p<0.001); W1, SUVmean: tumour vs. BPH 3.1 vs. 3.1 (p=0.771), tumour vs inflammation 3.1 vs. 2.2 (p=0.021), tumour vs. healthy tissue 3.1 vs. 2.5 (p<0.001)] as well as between high-grade and low/intermediate-grade tumours (W3, SUVmean: 2.6 vs. 2.1 (p=0.040); W1, SUVmean: 3.1 vs. 2.8 (p=0.173)). These differences were relevant to the peripheral zone, but not the central gland. Conclusion: Late-window [18F]Fluciclovine PET imaging shows promise for distinguishing between prostate tumours and benign tissue and for assessment of tumour aggressiveness.nb_NO
dc.language.isoengnb_NO
dc.publisherSpringer Verlagnb_NO
dc.subject[18F]Fluciclovine, [18F]FACBC, Prostate Cancer, PET/MRI, Dynamic PETnb_NO
dc.titleA PET/MRI study towards finding the optimal [18F]Fluciclovine PET protocol for detection and characterisation of primary prostate cancer.nb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.date.updated2016-11-14T15:15:47Z
dc.source.journalEuropean Journal of Nuclear Medicine and Molecular Imagingnb_NO
dc.identifier.doi10.1007/s00259-016-3562-7
dc.identifier.cristin1399051
dc.description.localcodeThe final publication is available at Springer via http://dx.doi.org/10.1007/s00259-016-3562-7nb_NO


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