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
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 Kep and N stage could improve the performance of LVI prediction, compared to clinicopathological or magnetic resonance parameters.
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