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

Hui Li, Jiao Li, Haojiang Li, Shuchao Chen, Lizhi Liu, Hongbo Chen

2021

Abstract

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.

Paper Citation

in Harvard Style

Li H., Li J., Li H., Chen S., Liu L. and Chen H. (2021). Automatic Breast Density Measurement and Prognostic Methods of Postoperative Tamoxifen Therapy for Breast Cancer. In Proceedings of the 2nd Conference on Artificial Intelligence and Healthcare - Volume 1: CAIH, ISBN 978-989-758-594-4, pages 39-46. DOI: 10.5220/0011161300003444

in Bibtex Style

@conference{caih21,
author={Hui Li and Jiao Li and Haojiang Li and Shuchao Chen and Lizhi Liu and Hongbo Chen},
title={Automatic Breast Density Measurement and Prognostic Methods of Postoperative Tamoxifen Therapy for Breast Cancer},
booktitle={Proceedings of the 2nd Conference on Artificial Intelligence and Healthcare - Volume 1: CAIH,},
year={2021},
pages={39-46},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011161300003444},
isbn={978-989-758-594-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd Conference on Artificial Intelligence and Healthcare - Volume 1: CAIH,
TI - Automatic Breast Density Measurement and Prognostic Methods of Postoperative Tamoxifen Therapy for Breast Cancer
SN - 978-989-758-594-4
AU - Li H.
AU - Li J.
AU - Li H.
AU - Chen S.
AU - Liu L.
AU - Chen H.
PY - 2021
SP - 39
EP - 46
DO - 10.5220/0011161300003444