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dc.contributor.authorHill, Deborah Katherine
dc.contributor.authorKim, Eugene
dc.contributor.authorTeruel, Jose Ramon
dc.contributor.authorJamin, Yann
dc.contributor.authorWiderøe, Marius
dc.contributor.authorSøgaard, Caroline Danielsen
dc.contributor.authorStørkersen, Øystein
dc.contributor.authorNava Rodriguez, Daniel
dc.contributor.authorHeindl, Andreas
dc.contributor.authorYuan, Yinyin
dc.contributor.authorBathen, Tone Frost
dc.contributor.authorMoestue, Siver Andreas
dc.date.accessioned2017-06-02T10:15:46Z
dc.date.available2017-06-02T10:15:46Z
dc.date.created2015-11-03T09:11:05Z
dc.date.issued2016
dc.identifier.citationJournal of Magnetic Resonance Imaging. 2016, 43 (5), 1207-1217.nb_NO
dc.identifier.issn1053-1807
dc.identifier.urihttp://hdl.handle.net/11250/2444233
dc.description.abstractPurpose To improve early diagnosis of prostate cancer to aid clinical decision-making. Diffusion-weighted magnetic resonance imaging (DW-MRI) is sensitive to water diffusion throughout tissues, which correlates with Gleason score, a histological measure of prostate cancer aggressiveness. In this study the ability of DW-MRI to detect prostate cancer onset and development was evaluated in transgenic adenocarcinoma of the mouse prostate (TRAMP) mice. Materials and Methods T2-weighted and DW-MRI were acquired using a 7T MR scanner, 200 mm bore diameter; 10 TRAMP and 6 C57BL/6 control mice were scanned every 4 weeks from 8 weeks of age until sacrifice at 28–30 weeks. After sacrifice, the genitourinary tract was excised and sectioned for histological analysis. Histology slides registered with DW-MR images allowed for validation of DW-MR images and the apparent diffusion coefficient (ADC) as tools for cancer detection and disease stratification. An automated early assessment tool based on ADC threshold values was developed to aid cancer detection and progression monitoring. Results The ADC differentiated between control prostate ((1.86 ± 0.20) × 10−3 mm2/s) and normal TRAMP prostate ((1.38 ± 0.10) × 10−3 mm2/s) (P = 0.0001), between TRAMP prostate and well-differentiated cancer ((0.93 ± 0.18) × 10−3 mm2/s) (P = 0.0006), and between well-differentiated cancer and poorly differentiated cancer ((0.63 ± 0.06) × 10−3 mm2/s) (P = 0.02). Conclusion DW-MRI is a tool for early detection of cancer, and discrimination between cancer stages in the TRAMP model. The incorporation of DW-MRI-based prostate cancer stratification and monitoring could increase the accuracy of preclinical trials using TRAMP mice. J. Magn. Reson. Imaging 2016;43:1207–1217.nb_NO
dc.language.isoengnb_NO
dc.publisherWileynb_NO
dc.titleDiffusion-weighted MRI for early detection and characterization of prostate cancer in the transgenic adenocarcinoma of the mouse prostate modelnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.source.pagenumber1207-1217nb_NO
dc.source.volume43nb_NO
dc.source.journalJournal of Magnetic Resonance Imagingnb_NO
dc.source.issue5nb_NO
dc.identifier.doi10.1002/jmri.25087
dc.identifier.cristin1285715
dc.relation.projectNorges forskningsråd: 239940nb_NO
dc.description.localcodeThis is the pre-peer reviewed version of the following article: Diffusion-weighted MRI for early detection and characterization of prostate cancer in the transgenic adenocarcinoma of the mouse prostate model, which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1002/jmri.25087/abstract . This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.nb_NO
cristin.unitcode194,65,25,0
cristin.unitcode194,65,15,0
cristin.unitnameInstitutt for sirkulasjon og bildediagnostikk
cristin.unitnameInstitutt for kreftforskning og molekylær medisin
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.qualitycode2


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