Automatic Breast Density Measurement and Prognostic Methods of Postoperative Tamoxifen Therapy for Breast Cancer

: In order to explore a prognostic analysis method of postoperative tamoxifen treatment for breast cancer from mammography, the squeeze-and-convolutional Neural Network (SE-CNN) method was used to investigate the model of mammographic density automatic extraction from mammography and the prognostic effect of mammographic density on tamoxifen treatment for breast cancer. The results show that the mammographic density change rate of the subjects before and 15 months after surgery was extracted, and the mammographic density change rate cut value was obtained by density map method, and the subjects were divided into groups. The progression-free survival was HR: 2.654(95%CI,1.102-6.395), P =0.030. Patients with high mammographic density change rate had a better prognosis, while those with low mammographic density change rate had a worse prognosis. It is concluded that mammographic density change rate value can be a potential prognostic factor of postoperative tamoxifen treatment for breast cancer.

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