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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