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dc.contributor.authorBailey, Cen_US
dc.contributor.authorCollins, DJen_US
dc.contributor.authorTunariu, Nen_US
dc.contributor.authorOrton, MRen_US
dc.contributor.authorMorgan, VAen_US
dc.contributor.authorFeiweier, Ten_US
dc.contributor.authorHawkes, DJen_US
dc.contributor.authorLeach, MOen_US
dc.contributor.authorAlexander, DCen_US
dc.contributor.authorPanagiotaki, Een_US
dc.coverage.spatialSwitzerlanden_US
dc.date.accessioned2019-02-25T16:22:43Z
dc.date.issued2018en_US
dc.identifierhttps://www.ncbi.nlm.nih.gov/pubmed/29503808en_US
dc.identifier.citationFront Oncol, 2018, 8 pp. 26 - ?en_US
dc.identifier.issn2234-943Xen_US
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/3090
dc.identifier.doi10.3389/fonc.2018.00026en_US
dc.description.abstractPurpose: To examine the usefulness of rich diffusion protocols with high b-values and varying diffusion time for probing microstructure in bone metastases. Analysis techniques including biophysical and mathematical models were compared with the clinical apparent diffusion coefficient (ADC). Methods: Four patients were scanned using 13 b-values up to 3,000 s/mm2 and diffusion times ranging 18-52 ms. Data were fitted to mono-exponential ADC, intravoxel incoherent motion (IVIM), Kurtosis and Vascular, extracellular, and restricted diffusion for cytometry in tumors (VERDICT) models. Parameters from the models were compared using correlation plots. Results: ADC and IVIM did not fit the data well, failing to capture the signal at high b-values. The Kurtosis model best explained the data in many voxels, but in voxels exhibiting a more time-dependent signal, the VERDICT model explained the data best. The ADC correlated significantly (p < 0.004) with the intracellular diffusion coefficient (r = 0.48), intracellular volume fraction (r = -0.21), and perfusion fraction (r = 0.46) parameters from VERDICT, suggesting that these factors all contribute to ADC contrast. The mean kurtosis correlated with the intracellular volume fraction parameter (r = 0.26) from VERDICT, consistent with the hypothesis that kurtosis relates to cellularity, but also correlated weakly with the intracellular diffusion coefficient (r = 0.18) and cell radius (r = 0.16) parameters, suggesting that it may be difficult to attribute physical meaning to kurtosis. Conclusion: Both Kurtosis and VERDICT explained the diffusion signal better than ADC and IVIM, primarily due to poor fitting at high b-values in the latter two models. The Kurtosis and VERDICT models captured information at high b using parameters (Kurtosis or intracellular volume fraction and radius) that do not have a simple relationship with ADC and that may provide additional microstructural information in bone metastases.en_US
dc.format.extent26 - ?en_US
dc.languageengen_US
dc.language.isoengen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.subjectand restricted diffusion for cytometry in tumorsen_US
dc.subjectbone metastasesen_US
dc.subjectdiffusion MRIen_US
dc.subjectextracellularen_US
dc.subjectintravoxel incoherent motionen_US
dc.subjectkurtosisen_US
dc.subjectvascularen_US
dc.titleMicrostructure Characterization of Bone Metastases from Prostate Cancer with Diffusion MRI: Preliminary Findings.en_US
dc.typeJournal Article
dcterms.dateAccepted2018-01-29en_US
rioxxterms.versionofrecord10.3389/fonc.2018.00026en_US
rioxxterms.licenseref.startdate2018en_US
rioxxterms.typeJournal Article/Reviewen_US
dc.relation.isPartOfFront Oncolen_US
pubs.notesNot knownen_US
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/Radiotherapy and Imaging
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging/Magnetic Resonance
pubs.publication-statusPublished onlineen_US
pubs.volume8en_US
pubs.embargo.termsNot knownen_US
icr.researchteamMagnetic Resonanceen_US
dc.contributor.icrauthorLeach, Martinen_US
dc.contributor.icrauthorTunariu, Ninaen_US


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