Abstract #1976

The Effect of Model-Based Bolus Arrival Time on Quantitative DCE Parameters and Prediction of Breast Cancer Therapy Response: A Preliminary Study

Brendan Moloney¹, Alina Tudorica¹, Debosmita Biswas², Anum Kazerouni², James H. Holmes³, Savannah C. Partridge², Wei Huang^1,4, and Xin Li¹

¹Oregon Health & Science University, Portland, OR, United States, ²University of Washington, Seattle, WA, United States, ³University of Iowa, Iowa City, IA, United States, ⁴Corewell Health William Beaumont University Hospital, Royal Oak, MI, United States

Synopsis

Keywords: Breast, Cancer, Breast, neoadjuvant chemotherapy, DCE

Motivation: Uncertainty in contrast bolus arrival time (BAT) can cause bias in estimated parameters from pharmacokinetic (PK) analysis of DCE-MRI data.

Goal(s): Evaluate effects of BAT on K^trans and its predictive performance for breast cancer (BC) response to neoadjuvant chemotherapy (NAC).

Approach: Eleven BC patients treated with NAC underwent longitudinal DCE-MRI, which were fitted with the Tofts model and Shutter-Speed model using a fixed BAT and voxel-wise model-based BATs.

Results: Tumor K^trans differed significantly (P < 0.05) between the two BAT methods, with improved K^trans predictive performance using model-based BAT.

Impact: Use of model-based BAT at voxel level for DCE-MRI PK modeling may potentially improve accuracy of estimated K^trans and its predictive performance for NAC response.

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