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Abstract #1727

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

Jie Ding1, Karl Spuhler1, Mario Serrano Sosa1, Alison Stopeck2,3, Patricia Thompson2,4, and Chuan Huang1,2,5,6,7

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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