Abstract #3660

Improved assessment of prostate-cancer bone metastases through multicompartmental analysis of whole-body DWI data

Christopher C Conlin¹, Christine H Feng², Leonardino A Digma², Ana E Rodriguez-Soto¹, Joshua M Kuperman¹, Dominic Holland³, Rebecca Rakow-Penner¹, Tyler M Seibert^1,2,4, Michael E Hahn¹, and Anders M Dale^1,3,5

¹Department of Radiology, UC San Diego School of Medicine, La Jolla, CA, United States, ²Department of Radiation Medicine and Applied Sciences, UC San Diego School of Medicine, La Jolla, CA, United States, ³Department of Neurosciences, UC San Diego School of Medicine, La Jolla, CA, United States, ⁴Department of Bioengineering, UC San Diego Jacobs School of Engineering, La Jolla, CA, United States, ⁵Halıcıoğlu Data Science Institute, UC San Diego, La Jolla, CA, United States

Whole-body DWI is increasingly used to assess bone involvement in prostate cancer. Multicompartmental diffusion modeling can outperform conventional DWI techniques for evaluating tumors, but has yet to be applied to whole-body imaging. In this study, we determined an optimal multicompartmental model for describing whole-body diffusion and applied it to examine metastatic bone lesions in vivo. We found that a 4-compartment model best characterized whole-body diffusion. Compartmental signal-contributions revealed by this model show improved bone-lesion conspicuity and may help to assess microstructural changes that accompany prostate-cancer bone involvement.

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