dc.contributor.author | Bailey, C | |
dc.contributor.author | Collins, DJ | |
dc.contributor.author | Tunariu, N | |
dc.contributor.author | Orton, MR | |
dc.contributor.author | Morgan, VA | |
dc.contributor.author | Feiweier, T | |
dc.contributor.author | Hawkes, DJ | |
dc.contributor.author | Leach, MO | |
dc.contributor.author | Alexander, DC | |
dc.contributor.author | Panagiotaki, E | |
dc.date.accessioned | 2019-02-25T16:22:43Z | |
dc.date.issued | 2018-02-16 | |
dc.identifier.citation | Frontiers in oncology, 2018, 8 pp. 26 - ? | |
dc.identifier.issn | 2234-943X | |
dc.identifier.uri | https://repository.icr.ac.uk/handle/internal/3090 | |
dc.identifier.eissn | 2234-943X | |
dc.identifier.doi | 10.3389/fonc.2018.00026 | |
dc.description.abstract | PURPOSE: 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. | |
dc.format | Electronic-eCollection | |
dc.format.extent | 26 - ? | |
dc.language | eng | |
dc.language.iso | eng | |
dc.publisher | FRONTIERS MEDIA SA | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0 | |
dc.title | Microstructure Characterization of Bone Metastases from Prostate Cancer with Diffusion MRI: Preliminary Findings. | |
dc.type | Journal Article | |
dcterms.dateAccepted | 2018-01-29 | |
rioxxterms.versionofrecord | 10.3389/fonc.2018.00026 | |
rioxxterms.licenseref.uri | https://creativecommons.org/licenses/by/4.0 | |
rioxxterms.licenseref.startdate | 2018-01 | |
rioxxterms.type | Journal Article/Review | |
dc.relation.isPartOf | Frontiers in oncology | |
pubs.notes | Not known | |
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.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-status | Published | |
pubs.volume | 8 | |
pubs.embargo.terms | Not known | |
icr.researchteam | Magnetic Resonance | |
dc.contributor.icrauthor | Collins, David | |
dc.contributor.icrauthor | Leach, Martin | |