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Modelling vascularity in breast cancer and surrounding stroma using diffusion MRI and intravoxel incoherent motion

Bailey, C; Panagiotaki, E; Hipwell, JH; Alexander, DC; Hawkes, DJ; Vinnicombe, S; Waugh, SA; ... Pinder, SE; + view all (2014) Modelling vascularity in breast cancer and surrounding stroma using diffusion MRI and intravoxel incoherent motion. In: Fujita, H and Hara, T and Muramatsu, C, (eds.) Breast Imaging: 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29 - July 2, 2014. Proceedings. (pp. 380 - 386). Springer International Publishing: Switzerland. Green open access

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Abstract

Contrast-enhanced magnetic resonance imaging (MRI) has shown variation in the stroma with distance from the tumor and this correlates with histological microvessel density. To date, however, conventional diffusion MRI has demonstrated limited sensitivity to these changes. This study modelled the diffusion signal by intravoxel incoherent motion (IVIM) to obtain parameters related to the vasculature and tissue diffusion. This revealed a small vascular contribution to the signal in tumor and peri-tumoral stroma within 8 mm. Monoexponential fitting performed worse than the IVIM model in tumor and stroma within 8 mm, but was sufficient in more distal stromal regions where lower microvessel density is expected. Modelling diffusion MRI by IVIM provided a measure of vascularity that may complement information from DCE-MRI and yielded additional information about diffusion in the extravascular tissue.

Type: Proceedings paper
Title: Modelling vascularity in breast cancer and surrounding stroma using diffusion MRI and intravoxel incoherent motion
Event: 12th International Workshop, IWDM 2014
ISBN-13: 9783319078861
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/978-3-319-07887-8_53
Publisher version: http://dx.doi.org/10.1007/978-3-319-07887-8_53
Language: English
Additional information: The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-07887-8_53.
Keywords: diffusion MRI, vascularity, stroma, modelling, IVIM, breast cancer
UCL classification: UCL > Provost and Vice Provost Offices
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/1426472
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