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dc.contributor.authorBilldal, Daniel Chen
dc.contributor.authorWhile, Peter Thomas
dc.contributor.authorSelnæs, Kirsten Margrete
dc.contributor.authorSunoqrot, Mohammed
dc.contributor.authorLangørgen, Sverre
dc.contributor.authorBertilsson, Helena
dc.contributor.authorBathen, Tone Frost
dc.contributor.authorElschot, Mattijs
dc.date.accessioned2020-01-30T08:38:13Z
dc.date.available2020-01-30T08:38:13Z
dc.date.created2019-12-13T12:07:29Z
dc.date.issued2019
dc.identifier.issn1053-1807
dc.identifier.urihttp://hdl.handle.net/11250/2638762
dc.description.abstractBackground Relative enhanced diffusivity (RED) is a potential biomarker for indirectly measuring perfusion in tissue using diffusion‐weighted magnetic resonance imaging (MRI) with 3 b values. Purpose To optimize the RED MRI protocol for the prostate, and to investigate its potential for prostate cancer (PCa) diagnosis. Study Type Prospective. Population Ten asymptomatic healthy volunteers and 35 patients with clinical suspicion of PCa. Sequence 3T T2‐ and diffusion‐weighted MRI with b values: b = 0, 50, [100], 150, [200], 250, [300], 400, 800 s/mm2 (values in brackets were only used for patients). Assessment Monte Carlo simulations were performed to assess noise sensitivity of RED as a function of intermediate b value. Volunteers were scanned 3 times to assess repeatability of RED. Patient data were used to investigate RED's potential for discriminating between biopsy‐confirmed cancer and healthy tissue, and between true and false positive radiological findings. Statistical Tests Within‐subject coefficient of variation (WCV) to assess repeatability and receiver‐operating characteristic curve analysis and logistic regression to assess diagnostic performance of RED. Results The repeatability was acceptable (WCV = 0.2‐0.3) for all intermediate b values tested, apart from b = 50 s/mm2 (WCV = 0.3‐0.4). The simulated RED values agreed well with the experimental data, showing that an intermediate b value between 150‐250 s/mm2 minimizes noise sensitivity in both peripheral zone (PZ) and transition zone (TZ). RED calculated with the b values 0, 150 and 800 s/mm2 was significantly higher in tumors than in healthy tissue in both PZ (P < 0.001, area under the curve [AUC] = 0.85) and PZ + TZ (P < 0.001, AUC = 0.84). RED was shown to aid apparent diffusion coefficient (ADC) in differentiating between false‐positive findings and true‐positive PCa in the PZ (AUC; RED = 0.71, ADC = 0.74, RED+ADC = 0.77). Data Conclusion RED is a repeatable biomarker that may have value for prostate cancer diagnosis. An intermediate b value in the range of 150‐250 s/mm2 minimizes the influence of noise and maximizes repeatability. Level of Evidence: 2 Technical Efficacy Stage: 1 J. Magn. Reson. Imaging 2019.nb_NO
dc.language.isoengnb_NO
dc.publisherWileynb_NO
dc.rightsNavngivelse-Ikkekommersiell 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/deed.no*
dc.titleRelative Enhanced Diffusivity in Prostate Cancer: Protocol Optimization and Diagnostic Potentialnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.subject.nsiVDP::Radiologi og bildediagnostikk: 763nb_NO
dc.subject.nsiVDP::Radiology and diagnostic imaging: 763nb_NO
dc.source.journalJournal of Magnetic Resonance Imagingnb_NO
dc.identifier.doi10.1002/jmri.27011
dc.identifier.cristin1760496
dc.description.localcode© 2019 The Authors. Journal of Magnetic Resonance Imaging published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposesnb_NO
cristin.unitcode194,65,25,0
cristin.unitcode1920,4,0,0
cristin.unitcode194,65,15,0
cristin.unitnameInstitutt for sirkulasjon og bildediagnostikk
cristin.unitnameKlinikk for bildediagnostikk
cristin.unitnameInstitutt for klinisk og molekylær medisin
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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Navngivelse-Ikkekommersiell 4.0 Internasjonal
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