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Abstract #1855

A comparison of visual, automated and semi-manual approaches in assessing background parenchymal enhancement as a biomarker for response to neoadjuvant therapy

Fredrik Strand1,2, Vignesh Arasu1, Wen Li1, Alex Nguyen1, Roy Harnish1, Ella Jones1, David C. Newitt1, and Nola Hylton1

1Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States, 2Department of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden

We have examined different approaches to segmenting the fibroglandular tissue in breast MRI when calculating quantitative background parenchymal enhancement (BPE) as a potential predictor of response to neoadjuvant treatment (pCR). Our results suggest that quantitative approaches to measure BPE might be preferable to visual BI-RADS as a biomarker of response. Change in quantitative BPE with treatment was associated with pCR; but pre-treatment BPE was not. Further research may be directed towards handling wrongful inclusion of non-parenchymal voxels.

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