Abstract #2422

Noise-corrected exponential DWI using multi-acquisition MRI facilitates quantitative evaluation of whole-body skeletal tumour burden in patients with metastatic prostate cancer.

Matthew David Blackledge¹, Nina Tunariu^1,2, Zaki Ahmed², Julie Hughes², Raquel Perez-Lopez^1,2, Dow Mu Koh^1,2, David J Collins^1,2, and Martin O Leach^1,2

¹CRUK Cancer Imaging Center, Division of Radiotherapy and Imaging, Institute of Cancer Research, London, United Kingdom, ²MRI, Royal Marsden Hospital, London, United Kingdom

We evaluate the potential utility of storing all imaging acquisitions from whole-body diffusion-weighted MRI (WBDWI) studies. This provides the possibility of using weighted least-squares fitting to obtain maps of ADC uncertainty, invaluable to clinicians wishing to report confidence in ADC estimates. Furthermore, we describe for the first time a novel post-processing technique that combines ADC and ADC uncertainty information into a single computed image: noise-corrected exponential WBDWI. We demonstrate that this technique provides excellent contrast between bone metastases and background healthy tissue, but does not suffer from the same T2 shine-through and/or coil sensitivity artefact present in conventional DW-images.

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