Bailey, C;
Collins, DJ;
Tunariu, N;
Orton, MR;
Morgan, VA;
Feiweier, T;
Hawkes, DJ;
... Panagiotaki, E; + view all
(2018)
Microstructure characterization of Bone Metastases from Prostate cancer with Diffusion MRI: Preliminary Findings.
Frontiers in Oncology
, 8
, Article 26. 10.3389/fonc.2018.00026.
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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.
| Type: | Article |
|---|---|
| Title: | Microstructure characterization of Bone Metastases from Prostate cancer with Diffusion MRI: Preliminary Findings |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.3389/fonc.2018.00026 |
| Publisher version: | http://dx.doi.org/10.3389/fonc.2018.00026 |
| Language: | English |
| Additional information: | © 2018 Bailey, Collins, Tunariu, Orton, Morgan, Feiweier, Hawkes, Leach, Alexander and Panagiotaki. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
| Keywords: | Science & Technology, Life Sciences & Biomedicine, Oncology, diffusion MRI, bone metastases, kurtosis, intravoxel incoherent motion, vascular, extracellular, and restricted diffusion for cytometry in tumors, INTRAVOXEL INCOHERENT MOTION, TISSUE, MODELS, QUANTIFICATION, SIGNAL, ECHO |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10045342 |
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