Abstract #0666
Comparing Functional Tumor Volume and Pharmacokinetic Parameter in DCE-MRI Prediction of Breast Cancer Therapy Response: A Preliminary Study
Alina Tudorica 1 , David C Newitt 2 , Karen Y Oh 1 , Nicole Roy 1 , Stephen Y-C Chui 1 , Arpana Naik 1 , Megan L Troxell 1 , Yiyi Chen 1 , Aneela Afzal 1 , Megan L Holtorf 1 , Nola M Hylton 2 , and Wei Huang 1
1
Oregon Health & Science University,
Portland, OR, United States,
2
University
of California, San Francisco, CA, United States
High-temporal-resolution (17-20 s) DCE-MRI data were
collected from 14 breast cancer patients (15 tumors)
before and after one cycle of neoadjuvant chemotherapy.
The original data were analyzed with pharmacokinetic (PK)
modeling, while the resampled low-temporal-resolution
(80-100 s) data were used to quantify functional tumor
volumes (FTV) based on threshold values of early percent
signal change and signal enhancement ratio. Empirical
analysis based FTV metrics performed comparably for
early prediction of pathologic response in comparison
with quantitative PK parameters.
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