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Abstract #3617

The Value of Magnetic Resonance Imaging Peritumoral Radiomics in Predicting 21-gene Recurrence Score of ER+/HER2- Breast Cancer

Yang Chen1,2, Weijun Peng1,2, and Lizhi Xie3
1Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China, 2Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China, 3GE Healthcare, MR Research, Beijing, China

Synopsis

Keywords: Diagnosis/Prediction, Radiomics, Breast neoplasms; Peritumoral; Neoplasm recurrence; Image interpretation

Motivation: 21-gene assay is recommend to guide decision on the use of adjuvant chemotherapy. However, this test is expensive and time-consuming, so it is not widely used in clinic.

Goal(s): To develop a radiomics model for predicting 21-gene recurrence score based on MRI intratumoral and peritumoral features.

Approach: Prediction models in tumor and different peritumoral regions (2 mm, 4 mm, 6 mm, 8 mm, 10 mm) were established using machine learning method. Feature-fusion and logistics-regression methods were used to fuse information.

Results: Combining 4-mm peritumoral model on T2WI (AUC = 0.66) with intratumoral and clinical-imaging features, the fusion model performed best (AUC = 0.75).

Impact: To provide an alternative for patients who cannot afford Oncotype 21-gene assay and to reduce the medical costs for those who could afford it.

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Keywords

breastmodelmodelsfusion