Effects of AIF Variations on DCE-MRI Prediction of Breast Cancer Therapy Response
Aneela Afzal 1 , Alina Tudorica 1 , Yiyi Chen 1 , Stephen Y-C Chui 1 , Arpana Naik 1 , Megan L Troxell 1 , Kathleen A Kemmer 1 , Karen Y Oh 1 , Nicole Roy 1 , Megan L Holtorf 1 , Xin Li 1 , and Wei Huang 1
Oregon Health & Science University,
Portland, OR, United States
Breast DCE-MRI data from 29 patients at baseline and
after one cycle of neoadjuvant chemotherapy were
analyzed using pharmacokinetic (PK) modeling and three
different arterial input functions (AIFs). Despite
considerable AIF-caused PK parameter variations (except
for the Tau_i parameter), several PK parameters after 1
cycle of therapy and their percent changes remained good
to excellent early predictors of pathologic response.
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