Abstract #4622

DCE-MRI Derived Water Exchange Rate Constant in Multi-Center and Multi-Platform Assessment of Breast Cancer Therapy Response

Xin Li¹, Brendan Moloney¹, Michael Hirano², Assim Saad Eddin³, Debosmita Biswas², Anum S. Kazerouni², Alina Tudorica¹, Isabella Li², Mary Lynn Bryant², Courtney Wille³, Chelsea Pyle¹, Habib Rahbar², Su Kim Hsieh³, Travis Rice-Stitt¹, Suzanne Dintzis², Amani Bashir³, Evthokia Hobbs¹, Alexandra Zimmer¹, Jennifer Specht², Sneha Phadke³, Nicole Fleege³, James H Holmes³, Savannah C. Partridge², and Wei Huang¹

¹Oregon Health & Science University, Portland, OR, United States, ²University of Washington, Seattle, WA, United States, ³University of Iowa, Iowa City, IA, United States

Synopsis

Keywords: Breast, Permeability, Breast, neoadjuvant chemotherapy, DCE

Motivation: Investigate water exchange rate constant (k_io) in monitoring breast cancer (BC) response to neoadjuvant chemotherapy (NAC).

Goal(s): Evaluate changes in k_io and voxel fraction of filtered k_io during NAC.

Approach: BC patients treated with NAC underwent longitudinal high spatiotemporal resolution DCE-MRI at three sites using different 3T vendor systems. Voxel k_io values were obtained with the shutter-speed modeling and filtered with a biologically relevant and DCE achievable range.

Results: Fractions of filtered k_io decreased throughout the NAC course. Tumor k_io and its heterogeneity were reduced in the pathologic complete response (pCR) group compared to the non-pCR group at midpoint and end of NAC.

Impact: Quantitative high spatiotemporal resolution Shutter-Speed Model (SSM) DCE-MRI can be implemented in multi-center and multi-platform settings with the SSM-exclusive k_io parameter providing potentially complementary information to the conventional K^trans parameter in assessment of BC response to NAC.

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