Radiomics analysis of MRI for predicting molecular subtypes of breast cancer in young women

Qinmei Li; James Dormer; Priyanka Daryani; Deji Chen; Zhenfeng Zhang; Baowei Fei

doi:10.1117/12.2512056

13 March 2019 Radiomics analysis of MRI for predicting molecular subtypes of breast cancer in young women

Qinmei Li, James Dormer, Priyanka Daryani, Deji Chen, Zhenfeng Zhang, Baowei Fei

Proceedings Volume 10950, Medical Imaging 2019: Computer-Aided Diagnosis; 1095044 (2019) https://doi.org/10.1117/12.2512056
Event: SPIE Medical Imaging, 2019, San Diego, California, United States

Abstract

Breast cancer in young women is commonly aggressive, in part because the proportion of high-grade, triple-negative (TN) tumor is too high. There are certain limitations in the detection of biopsies or surgical specimens which only select part of tumor sample tissue and ignore the possible heterogeneity of tumors. In clinical practice, MRI is used for the diagnosis of breast cancer. MRI-based radiomics is a developing approach that may provide not only the diagnostic value for breast cancer but also the predictive or prognostic associations between the images and biological characteristics. In this work, we used radiomics methods to analyze MR images of breast cancer in 53 young women, and correlated the radiomics data with molecular subtypes. The results indicated a significant difference between TN type and non-TN type of breast cancer in young women on the radiomics features based on T2-weighted MR images. This may be helpful for the identification of TN type and guiding the therapeutic strategies.

Citation Download Citation

Qinmei Li, James Dormer, Priyanka Daryani, Deji Chen, Zhenfeng Zhang, and Baowei Fei "Radiomics analysis of MRI for predicting molecular subtypes of breast cancer in young women", Proc. SPIE 10950, Medical Imaging 2019: Computer-Aided Diagnosis, 1095044 (13 March 2019); https://doi.org/10.1117/12.2512056

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