Abstract #4266

Quantitative analysis of DCE-MRI for predicting lymphovascular invasion in breast cancer

Zhiqi Yang¹, Tianfu Lai², Xiaofeng Chen¹, Ruibin Huang³, Weichao Yang¹, Yuting Liao⁴, Mengzhu Wang⁵, Guijin Li⁶, Zhuozhi Dai⁷, and Xiangguang Chen¹

¹Meizhou People’s Hospital, Meizhou, China, ²Department of Radiology, Meizhou People’s Hospital, Meizhou, China, ³First Affiliated Hospital of Shantou University Medical College, Shantou, China, ⁴GE Healthcare, Guangzhou, China, ⁵Siemens Healthineers, Guangzhou, China, ⁶Siemens Healthineers, Shanghai, China, ⁷Shantou Central Hospital, Shantou, China

Synopsis

The optimal biomarkers for the diagnosis of breast lymphovascular invasion have not yet been found. DCE-MRI features can evaluate the tumor microenvironment which is related to LVI. This study explored the independent predictor of LVI, as well as developed and validated the parametric combined prediction model for the diagnosis of lymphovascular invasion in breast cancer using quantitative analysis of DCE-MRI. The prediction model based on K_ep and N stage could improve the performance of LVI prediction, compared to clinicopathological or magnetic resonance parameters.

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