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 Strand^1,2, 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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