Abstract #1727

The associations between breast density and the radiomic features derived from T1-weighted MRI

Jie Ding¹, Karl Spuhler¹, Mario Serrano Sosa¹, Alison Stopeck^2,3, Patricia Thompson^2,4, and Chuan Huang^1,2,5,6,7

¹Biomedical Engineering, Stony Brook University, Stony Brook, NY, United States, ²Stony Brook University Cancer Center, Stony Brook, NY, United States, ³Hematology and Oncology, Stony Brook Medicine, Stony Brook, NY, United States, ⁴Pathology, Stony Brook Medicine, Stony Brook, NY, United States, ⁵Radiology, Stony Brook Medicine, Stony Brook, NY, United States, ⁶Computer Science, Stony Brook University, Stony Brook, NY, United States, ⁷Psychiatry, Stony Brook Medicine, Stony Brook, NY, United States

Breast density (BD) has been recognized as a biomarker of breast cancer risk. We previously developed a highly reproducible MRI-based BD measurement (MRD), that is directly comparable to mammographic density, using fat-water decomposition MRI to assess the breast cancer risk in clinical trials. However, this method requires a specific sequence which cannot be applied to previously acquired data. In this work, we investigate possibility of using the radiomic features extracted from routine T1-weighted MRI to represent MRD. This finding enables a possibility of evaluating the breast cancer risk using the routine MRI data in clinical practice.

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