Abstract #2554

The diagnostic performance of time-dependent diffusion technique in differentiating benign and malignant breast tumors

Jie Ding^1,2,3, Zhen Zhang³, Yajia Gu^1,2, Yishi Wang⁴, Xiuzheng Yue⁴, Dazhi Chen³, Rongrong Zhu³, and Ruoshui Ha³

¹Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China, ²Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China, ³People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China, ⁴Philips Healthcare, Beijing, China

Synopsis

Keywords: Breast, CancerSome novel biomarkers have emerged from the fact that the ADC depends strongly on the diffusion time, such as the rate of ADC change using two diffusion times for the differentiation of breast tumor types and cell size modeling. In this study, we propose to use Multiband (MB) SENSE to accelerate the data acquisition of OGSE and PGSE sequences and compare the diagnostic value of ADC at different diffusion times as well as cell size imaging parameters using IMPULSED model for breast tumor. Our data showed vin and cellularity and the rate of ADC change have superior diagnostic performance.

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