Abstract #2472

The test-retest reliability of fat-water ratio MRI derived breast density measurements and automated breast segmentation

Jie Ding¹, Patricia A Thompson², Marilyn T Marron³, Maria Altbach^3,4, Denise Roe^3,5, Jean-Philippe Galons⁴, Cynthia A Thomson³, Fang Wang⁶, Alison Stopeck⁷, and Chuan Huang^1,8,9

¹Biomedical Engineering, Stony Brook University, Stony Brook, NY, United States, ²Pathology, Stony Brook Medicine, Stony Brook, NY, United States, ³Cancer Center, University of Arizona, Tucson, AZ, United States, ⁴Medical Imaging, University of Arizona, Tucson, AZ, United States, ⁵Epidemiology and Biostatistics, University of Arizona, Tucson, AZ, United States, ⁶Stony Brook Medicine, Stony Brook, NY, United States, ⁷Hematology and Oncology, Stony Brook Medicine, Stony Brook, NY, United States, ⁸Radiology, Stony Brook Medicine, Stony Brook, NY, United States, ⁹Psychiatry, Stony Brook Medicine, Stony Brook, NY, United States

It has been shown that breast density (BD) value derived from fat-water-ratio MRI (FWR-MRI) strongly correlates with standard digital mammogram derived BD. The fact that no ionizing radiation is associated with FWR-MRI makes it a lower-risk modality for long term BD monitoring and clinical trials. However, data regarding the individual and group level variability and reliability of this method needs to be established. Conventional approaches for FWR-MRI derived BD rely on manually drawn regions-of-interest. These processes are cumbersome and prone to measurement bias, which may limit the application of FWR-MRI derived BD. Automated breast segmentation has been proposed to resolve this problem and limited results to date are promising. Additional data including an evaluation of BD reliability from manual versus automated measurements is still needed. In this study, we evaluate the test-retest reliability of the FWR-MRI derived BD and the quality of data using manual versus automated breast segmentation. Our results demonstrate the high reliability of the FWR-MRI derived BD measure, Fra80, with a typical error of less than 0.02 for both automated and manual breast segmentation. Moreover, our automated breast segmentation protocol yields more reliable Fra80 BD measures compared to the labor-intense manual segmentation method.

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