EARLY DIAGNOSIS AND TARGETED PREVENTION OF BREAST CANCER BASED ON AUTOMATED ANALYSIS OF RISK FACTORS

A.F. Lazarev1, V.D. Petrova1, S.A. Lazarev1, Zh.I. Vakhlova2, M.G. Nikolaeva1, T.V. Repkina1, S.A. Terekhova1, I.S. Osipov3, E.V. Shlyaptseva2, A.N. Komarova1, D.I. Ganov1

1Altai State Medical University, Barnaul

2Consultative Diagnostic Center of the Altai Territory, Barnaul

3Medical Institute named after Berezin Sergey, Barnaul

Terekhova Svetlana. A. ― Cand. of Sci. (Med.), assistant of the Department of Oncology and Radiotherapy with a course of additional professional education of the Altai State Medical University

40 Lenin Ave., Barnaul, 656038, Russian Federation, e-mail: quip@list.ru, ORCID ID: 0009-0001-4594-4529

Abstract

Objective. The study objective was to improve the quality and efficiency of diagnostic measures aimed at the prevention and early detection of breast cancer using a personalized approach to patients based on automated analysis of risk factors.

Material and methods. The study used materials from the population-based Cancer Registry of the Altai Territory, formed at the Altai Regional Oncology Center, Barnaul. The Cancer Registry as of September 2013, contained the data of 308 550 patients with malignant tumors, including 31 783 women with breast cancer.

The method of targeted prevention proposed by A.F. Lazarev was used ― «Method for determining the risk of breast cancer according to A.F. Lazarev» (Patent №RU 2651131), based on a personalized comprehensive analysis of risk factors for the development of breast cancer. The method was automated using the Web application «Automated program for early detection of breast cancer» (certificate of state registration of the computer program №2019661203). The program helped to perform individual testing quickly, to assess cancer risk automatically and to form groups of patients with high risk of breast cancer. The patients from the high risk group undergo a targeted in-depth examination for breast cancer. The functionality of the program made it possible to increase the efficiency of diagnostics of breast cancer, and additionally through analysis of individual risk factors, to develop a set of targeted preventive measures for each patient. This technique was tested by questioning of 512 patients, which resulted in forming of a high-risk precancer registry which included the patients having individual risk of developing breast cancer either increased or high or absolute. The patients from the high risk registry had a complex of in-depth examinations (including ultrasound, mammography, MRI with dynamic contrast and breast biopsy if indicated).

Results. The high-risk precancer registry included 92 patients, 84% of them had precancerous pathology identified (69 cases of facultative and 8 cases of obligate precancerous diseases). After in-depth examination in dynamics, breast cancer was identified in 7 patients (7.6%), all cases were diagnosed at the early stages (I and II).

Key words: breast cancer, risk factors, targeted prevention and early diagnosis.