Journal article
Association analysis between quantitative MRI features and hypoxia-related genetic profiles in prostate cancer: a pilot study
Yu Sun, Scott Williams, David Byrne, Simon Keam, Hayley M Reynolds, Catherine Mitchell, Darren Wraith, Declan Murphy, Annette Haworth
The British Journal of Radiology | BRITISH INST RADIOLOGY | Published : 2019
DOI: 10.1259/bjr.20190373
Abstract
OBJECTIVE: To investigate the association between multiparametric MRI (mpMRI) imaging features and hypoxia-related genetic profiles in prostate cancer. METHODS: In vivo mpMRI was acquired from six patients prior to radical prostatectomy. Sequences included T2 weighted (T2W) imaging, diffusion-weighted imaging, dynamic contrast enhanced MRI and blood oxygen-level dependent imaging. Imaging data were co-registered with histology using three-dimensional deformable registration methods. Texture features were extracted from T2W images and parametric maps from functional MRI. Full transcriptome genetic profiles were obtained using next generation sequencing from the prostate specimens. Pearson cor..
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Grants
Awarded by NHMRC
Awarded by PdCCRS
Funding Acknowledgements
This study is supported by NHMRC (grant 1126955), PdCCRS (grant 628592) with funding partners: Prostate Cancer Foundation of Australia, and the Radiation Oncology Section of the Australian Government of Health and Aging and Cancer Australia. Yu Sun is funded by the Melbourne International Research Scholarship, a Movember Young Investigator Grant through Prostate Cancer Foundation of Australia (PCFA) and Cancer Therapeutics Top-up Funding. Hayley Reynolds is funded by a Movember Young Investigator Grant through PCFA's Research Program. The authors would like to thank Courtney Savill for prostate specimen processing and Lauren Caspersz for mpMRI acquisitions.