The possibilities of predicting and reducing the risk of breast cancer in women against the background of the use of assisted reproductive technologies
Objective. To study the possibility of predicting the development of breast cancer against the background of the use of assisted reproductive technologies and to develop measures to reduce the risk of its development. Material and methods. Data from 5000 protocols of assistive reproductive technologies in 4500 patients were analyzed. All 4500 patients who planned pregnancy were necessarily examined by a mammologist-oncologist. The main group consisted of 77 patients who had used the largest (5 or more) number of methods of assisted reproductive technologies in their anamnesis. The data of the patients of the main group were analyzed by six independent experts — mammological oncologists. The expert information was processed using ordinal regression. The control group included 50 patients in whom assisted reproductive technologies were not used. Results. The methods of assessing the risk of developing breast cancer are analyzed. A model for predicting breast cancer in women who have undergone assisted reproductive technology procedures has been developed. The calculation of individual risks of breast cancer development in the groups of patients undergoing assisted reproductive technology procedures and the control group was carried out. Conclusion. The incidence of breast cancer may depend on a large number of factors, the most significant of which is the initial condition of the breast according to sonography and mammography.
Authors
- А. А. Кузнецов (ORCID: https://orcid.org/0000-0003-4780-7146)
- Л. Д. Белоцерковцева (ORCID: https://orcid.org/0000-0003-2768-8434)
- Н. В. Климова (ORCID: https://orcid.org/0000-0003-4589-6528)
Institutions
- Surgut State University (RU)
Publication Details
- Journal
- Russian Bulletin of Obstetrician-Gynecologist
- Published
- 2025-02-20
- DOI
- https://doi.org/10.17116/rosakush20252501159
- Primary Topic
- Cancer Risks and Factors
- Type
- article
- Field-Weighted Citation Impact
- 0.00