Bailey, C;
Siow, B;
Panagiotaki, E;
Hipwell, JH;
Mertzanidou, T;
Owen, J;
Gazinska, P;
... Hawkes, DJ; + view all
(2016)
Microstructural models for diffusion MRI in breast cancer and surrounding stroma: an ex vivo study.
NMR in Biomedicine
, 30
(2)
10.1002/nbm.3679.
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Abstract
The diffusion signal in breast tissue has primarily been modelled using apparent diffusion coefficient (ADC), intravoxel incoherent motion (IVIM) and diffusion tensor (DT) models, which may be too simplistic to describe the underlying tissue microstructure. Formalin-fixed breast cancer samples were scanned using a wide range of gradient strengths, durations, separations and orientations. A variety of one- and two-compartment models were tested to determine which best described the data. Models with restricted diffusion components and anisotropy were selected in most cancerous regions and there were no regions in which conventional ADC or DT models were selected. Maps of ADC generally related to cellularity on histology, but maps of parameters from more complex models suggest that both overall cell volume fraction and individual cell size can contribute to the diffusion signal, affecting the specificity of ADC to the tissue microstructure. The areas of coherence in diffusion anisotropy images were small, approximately 1 mm, but the orientation corresponded to stromal orientation patterns on histology.
| Type: | Article |
|---|---|
| Title: | Microstructural models for diffusion MRI in breast cancer and surrounding stroma: an ex vivo study |
| Location: | England |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1002/nbm.3679 |
| Publisher version: | http://dx.odi.org/10.1002/nbm.3679 |
| Language: | English |
| Additional information: | © 2016 The Authors. NMR in Biomedicine published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
| Keywords: | DTI, MRI, anisotropy, breast cancer, diffusion, ex vivo, restriction |
| 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/1528956 |
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