Modeling of the Type of Surgical Intervention for Breast Cancer According to Mammography Examination: Analysis of Factors

Author:

Ganzha R. O.ORCID

Abstract

Breast cancer is the most common tumour diagnosis for women worldwide. Over the last 40 years widespread adoption of mammographic screening has established Breast Conserving Surgery (BCS) followed by irradiation as the most practised treatment of choice. However, given the absence of tools to determine the optimal volume of tissue to be excised, the debate continues for achieving a balance between the effectiveness of surgical intervention and the later stage personalization of treatment, and so, a wide variation in practice is a common phenomenon globally. This study is devoted to modeling and analysis of factors which affect the choice of type and volume of surgical intervention for patients with breast cancer in not at random manner. Given the problems of treating patients with breast cancer, it is extremely important to determine the criteria for an objective choice of the type of surgical intervention at the diagnostic stage. These criteria should ensure both the radical nature of the surgical intervention and the preservation of aesthetically acceptable forms and sizes of the mammary glands. The study included 73 patients with breast cancer who underwent a mammographic examination and surgery planned according to this examination. The planned type and volume of interventions were compared with the type and volume of the performed ones. Based on the simulation results, the leading mammographic factors were determined. A statistical model allowing one to quite effectively determine optimal type and volume of surgical intervention based on the data of a mammographic examination and the lesion coefficient as the covariates was built. The proposed model considers the characteristics of the tumor and the anatomical features of patients which, in addition to providing real-time information, enables for predicting the optimal type and amount of surgical intervention. An adequate choice of type of the intervention allows one to plan short-term reconstructive measures in advance, to ensure an adequate quality of life for patients after treatment.

Publisher

National Academy of Statistics Accounting and Audit

Reference27 articles.

1. Prentice, R. L. (1976). A Generalization of the Probit and Logit Methods for Dose Response Curves. Biometrics, Vol. 32, 4, 761–768.

2. Motuzyuk, I., Sydorchuk, O., Kovtun, N., Palian, Z., & Kostiuchenko, Y. (2018). Analysis of trends and factors in breast multiple primary malignant neoplasms. Breast Cancer: Basic and Clinical Research, Vol. 12, 1–9.

3. Blair, S. L., Thompson, K., Rococco, J., Malcarne, V., Beitsch, P. D., & Ollila, D. W. (2009). Attaining Negative Margins in Breast-Conservation Operations: Is There a Consensus among Breast Surgeons? Journal of American College of Surgeons, Vol. 209 (5), 608–613.

4. Lipkus, I. M., Peters, E., & Kimmick, G. (2010). Breast cancer patients’ treatment expectations after exposure to the decision aid program adjuvant online: the influence of numeracy. Medical Decision Making, Vol. 30, 464–473.

5. Meeting, F. (1996). Breast‐cancer screening with mammography in women aged 40–49 years. International Journal of Cancer, Vol. 68 (6), 693–699.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3