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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. Pavlova
Tyumen State Medical University, Ministry of Health of the Russia
Russian Federation

Valeriya I. Pavlova.

54 Odesskaya St., Tyumen 625023


Competing Interests:

None



Yu. A. Belaya
Khanty-Mansiysk Regional Clinical Hospital
Russian Federation

Yuliya A. Belaya.

40 Kalinina St., Khanty-Mansiysk 628011


Competing Interests:

None



A. Yu. Vorontsov
Nizhny Novgorod Regional Clinical Oncological Dispensary
Russian Federation

11/1 Delovaya St., Nizhny Novgorod 603093


Competing Interests:

None



A. A. Prishchepov
Tyumen State Medical University, Ministry of Health of the Russia
Russian Federation

54 Odesskaya St., Tyumen 625023


Competing Interests:

None



S. M. Knyazev
Khanty-Mansiysk Regional Clinical Hospital
Russian Federation

40 Kalinina St., Khanty-Mansiysk 628011


Competing Interests:

None



A. A. Mikhaylov
Nizhny Novgorod Regional Clinical Oncological Dispensary
Russian Federation

11/1 Delovaya St., Nizhny Novgorod 603093


Competing Interests:

None



A. V. Kovaleva
Khanty-Mansiysk Regional Clinical Hospital
Russian Federation

40 Kalinina St., Khanty-Mansiysk 628011


Competing Interests:

None



E. G. Arevshatyan
Nizhny Novgorod Regional Clinical Oncological Dispensary
Russian Federation

11/1 Delovaya St., Nizhny Novgorod 603093


Competing Interests:

None



R. M. Paltuev
N.N. Petrov National Medical Research Oncology Center, Ministry of Health of Russia
Russian Federation

68 Leningradskaya St., Pesochnyy Settlement, Saint Petersburg 197758


Competing Interests:

None



A. V. Chernaya
N.N. Petrov National Medical Research Oncology Center, Ministry of Health of Russia
Russian Federation

68 Leningradskaya St., Pesochnyy Settlement, Saint Petersburg 197758


Competing Interests:

None



N. A. Zakharova
Luton and Dunstable University Hospital
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

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ISSN 1994-4098 (Print)
ISSN 1999-8627 (Online)