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Abstract #4954

Contribution of Radiomics Features from DCE-MRI and DWI in Differentiating Benign from Malignant Lesions in Suspicious Breast (MRI BI-RADS Category 4) Findings

Bin Hu1, Lina Zhang2, Ke Xv2, Shu Li2, Songbai Li2, Ning Huang3, and Yan Guo3

1First Affiliated hospital of China Medical University, Shenyang, People's Republic of China, 2First Affiliated hospital of China Medical University, 3GE Healthcareļ¼Œ Lifescienceļ¼Œ China

We aimed to find a promising tool to improve the diagnostic efficiency of suspious breast lesions classified in BI-RADS Category 4 from malignant lesions in order to avoid unnecessary biopsy,surgery,even psychological pressure. 33 patients (all female, 27y-82y) were included in our retrospective study and all underwent pre-operative breast DCE-MRI and DWI using a 3.0T MRI (SIEMENS Magntom Verio 3.0T).The radiomics features were acquired by Omni-Kinetics software (GE Healthcare).Non-parametric test and ROC curve were used in statistical analysis.The results implied that the radiomics parameters,especially skewness, kurtosis,IDM and inertia in Ktrans and ADC had great potential.

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