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dc.contributor.authorKim, Jana
dc.contributor.authorKim, Eugene
dc.contributor.authorEuceda, Leslie R.
dc.contributor.authorMeyer, Dan E.
dc.contributor.authorLangseth, Karina
dc.contributor.authorBathen, Tone Frost
dc.contributor.authorMoestue, Siver Andreas
dc.contributor.authorHuuse, Else Marie
dc.date.accessioned2017-12-06T12:32:49Z
dc.date.available2017-12-06T12:32:49Z
dc.date.created2017-11-10T10:47:10Z
dc.date.issued2017
dc.identifier.issn1053-1807
dc.identifier.urihttp://hdl.handle.net/11250/2469391
dc.description.abstractBackground Steady state susceptibility contrast (SSC)-MRI provides information on vascular morphology but is a rarely used method. Purpose To investigate the utility of the ultrasmall superparamagnetic iron oxide particles (USPIOs) GEH121333 for measuring tumor response to bevacizumab and compare this with gadolinium-based DCE-MRI. Study Type Prospective preclinical animal model study. ANIMAL MODEL Mice bearing subcutaneous TOV-21G human ovarian cancer xenografts treated with bevacizumab (n = 9) or saline (n = 9). Field Strength/Sequence Imaging was performed on a 7T Bruker Biospec. For SSC-MRI with GEH121333 we acquired R1-maps (RARE-sequence with variable TR), R2-maps (multi-spin echo), and math formula-maps (multi-gradient echo). Additionally, R1 and R2 maps were measured on the days after USPIO injection. For DCE-MRI with gadodiamide we acquired 200 T1-weighted images (RARE-sequence). Assessment ΔR1, ΔR2, and math formula maps were computed from SSC-MRI. DCE-MRI was analysed using the extended Tofts model. Statistical Tests Results from pre- and 3 days posttreatment SSC-MRI were compared using paired-sample t-tests. Treatment and control groups were compared using independent sample t-tests. Performance of SSC- and DCE-MRI was compared using multivariate partial least squares discriminant analysis. Results Already one day after treatment and USPIO injection, R1 and R2 values were lower in treated (R1 = 0.49 ± 0.03s−1, R2 = 23.07 ± 1.49s−1) compared with control tumors (R1 = 0.52 ± 0.02s−1, R2 = 24.98 ± 1.01s−1), indicating lower USPIO accumulation. Posttreatment SSC-MRI displayed significantly decreased tumor blood volume (change in ΔR2 = -0.43 ± 0.26s−1, P = 0.001) and vessel density (change in Q = -0.032 ± 0.020s−1/3, P = 0.002). DCE-MRI showed among others lower Ktrans in treated tumors (control = 0.064 ± 0.011min−1, tx = 0.046 ± 0.008min−1, P = 0.002). Multivariate analysis suggests that SSC-MRI was slightly inferior to DCE-MRI in distinguishing treated from control tumors (accuracy = 75%, P = 0.058 versus 80%, P = 0.028), but a combination of both was best (accuracy = 85%; P = 0.003). Data Conclusion SSC-MRI with GEH121333 is sensitive to early (<24 h) and late changes in tumor vasculature. SSC-MRI and DCE-MRI provide complementary information and can be used to assess different aspects of vascular responses to anti-angiogenic therapies. Level of Evidence: 1 Technical Efficacy: Stage 2nb_NO
dc.language.isoengnb_NO
dc.publisherWileynb_NO
dc.titleMultiparametric Characterization of Response to Anti-angiogenic Therapy Using USPIO Contrast-enhanced MRI in Combination with Dynamic Contrast-enhanced MRInb_NO
dc.typeJournal articlenb_NO
dc.description.versionsubmittedVersionnb_NO
dc.source.journalJournal of Magnetic Resonance Imagingnb_NO
dc.identifier.doi10.1002/jmri.25898
dc.identifier.cristin1512873
dc.description.localcodeThis is the pre-peer reviewed version of the following article: [Multiparametric Characterization of Response to Anti-angiogenic Therapy Using USPIO Contrast-enhanced MRI in Combination with Dynamic Contrast-enhanced MRI], which has been published in final form at [http://onlinelibrary.wiley.com/doi/10.1002/jmri.25898/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 klinisk og molekylær medisin
cristin.ispublishedfalse
cristin.fulltextpreprint
cristin.qualitycode2


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