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Abstract #3928

Multi-Resolution Fractal Analysis of DCE-MRI Parametric Maps for Early Prediction of Breast Cancer Therapy Response

Archana Machireddy1, Guillaume Thibault1, Alina Tudorica1, Aneela Afzal1, May Mishal1, Kathleen Kemmer1, Arpana Naik1, Megan Troxell1, Eric Goranson1, Karen Oh1, Nicole Roy1, Neda Jafarian1, Megan Holtorf1, Wei Huang1, and Xubo Song1

1Oregon Health and Science University, Portland, OR, United States

DCE-MRI data from 54 breast cancer patients collected before and after one cycle of neoadjuvant chemotherapy were subjected to Shutter-Speed pharmacokinetic analysis. A new texture feature, multi-resolution fractal dimension (FD), was extracted from DCE-MRI parametric maps and compared with single-resolution FD for early prediction of therapy response. The multi-resolution approach appears to provide a richer description of the underlying tumor heterogeneity in perfusion/permeability than the single-resolution FD method, and has higher accuracy in early discrimination of pathologic complete response (pCR) from non-pCR.

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