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Abstract #0277

Quantification of Benign and Malignant Breast Tumor Cellularity

Zezhong Ye1, Na Zhao2, Joshua Lin1, Sam E. Gary3, Jeffrey D. Viox4, Chunyu Song1, Ruimeng Yang5, Peng Sun1, Jie Zhan6, Qingsong Yang2, Jianping Lu2, and Sheng-Kwei Song1

1Radiology, Washington University School of Medicine, Saint Louis, MO, United States, 2Radiology, Changhai Hospital, Shanghai, China, 3Medical Scientist Training Program, The University of Alabama at Birmingham, Birmingham, AL, United States, 4Medicine, University of Missouri – Kansas City, Kansas City, MO, United States, 5Radiology, Guangzhou First People’s Hospital, Guangzhou, China, 6Radiology, The First Affiliated Hospital of Nanchang University, Nanchang, China

Recent consensus suggested that breast MRI lacks the needed sensitivity or specificity to detect breast cancer. Breast cancer over-diagnosis may result in over-treatments. We recently modified diffusion basis spectrum imaging (DBSI) to accurately localize breast cancer lesion and quantify cancer cellularity. Results revealed that modified-DBSI afforded greater diagnostic sensitivity and specificity than ADC in distinguishing between tumor and benign tissues.

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