Results of research work Russian society of oncomammologists “The use of artificial intelligence for early detection of breast cancer”
https://doi.org/10.17650/1994-4098-2023-19-2-54-60
Abstract
Breast cancer is the most common cancer in women and one of the leading causes of death from cancer in Russia and most countries of the world. In countries with mammographic screening, there is a decrease in mortality from breast cancer. Introduction of mammographic image evaluation platforms into radiologist practice based on the work of artificial intelligence it allows not only to increase the coverage of the female population, but also to reduce the cost of screening, but it also increases the sensitivity and specificity of mammography as a method of breast cancer screening.
The article presents the results of a study on the evaluation of mammographic images in women who have passed a preventive study using an artificial intelligence program.
Within the framework of this project, mammographic images were analyzed using the service for viewing medical images “Celsus” in 8030 patients. The study assessed the age groups of 40-49 years, 50-59 years, 60 years and older. The average age of patients with suspected breast cancer was 54.8 years. Breast cancer was detected in 13 women (1.2 %), while the highest percentage of breast cancer was detected in the group with mammographic density D.
About the Authors
V. I. PavlovaRussian Federation
Valeriya I. Pavlova.
54 Odesskaya St., Tyumen 625023
Competing Interests:
None
Yu. A. Belaya
Russian Federation
Yuliya A. Belaya.
40 Kalinina St., Khanty-Mansiysk 628011
Competing Interests:
None
A. Yu. Vorontsov
Russian Federation
11/1 Delovaya St., Nizhny Novgorod 603093
Competing Interests:
None
A. A. Prishchepov
Russian Federation
54 Odesskaya St., Tyumen 625023
Competing Interests:
None
S. M. Knyazev
Russian Federation
40 Kalinina St., Khanty-Mansiysk 628011
Competing Interests:
None
A. A. Mikhaylov
Russian Federation
11/1 Delovaya St., Nizhny Novgorod 603093
Competing Interests:
None
A. V. Kovaleva
Russian Federation
40 Kalinina St., Khanty-Mansiysk 628011
Competing Interests:
None
E. G. Arevshatyan
Russian Federation
11/1 Delovaya St., Nizhny Novgorod 603093
Competing Interests:
None
R. M. Paltuev
Russian Federation
68 Leningradskaya St., Pesochnyy Settlement, Saint Petersburg 197758
Competing Interests:
None
A. V. Chernaya
Russian Federation
68 Leningradskaya St., Pesochnyy Settlement, Saint Petersburg 197758
Competing Interests:
None
N. A. Zakharova
United Kingdom
Lewsey Road, Luton, LU4 0DZ
Competing Interests:
None
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Review
For citations:
Pavlova V.I., Belaya Yu.A., Vorontsov A.Yu., Prishchepov A.A., Knyazev S.M., Mikhaylov A.A., Kovaleva A.V., Arevshatyan E.G., Paltuev R.M., Chernaya A.V., Zakharova N.A. Results of research work Russian society of oncomammologists “The use of artificial intelligence for early detection of breast cancer”. Tumors of female reproductive system. 2023;19(2):54-60. (In Russ.) https://doi.org/10.17650/1994-4098-2023-19-2-54-60