Results of research work Russian society of oncomammologists “The use of artificial intelligence for early detection of breast cancer”

Author:

Pavlova V. I.1ORCID,Belaya Yu. A.2,Vorontsov A. Yu.3,Prishchepov A. A.1ORCID,Knyazev S. M.2,Mikhaylov A. A.3,Kovaleva A. V.2,Arevshatyan E. G.3,Paltuev R. M.4ORCID,Chernaya A. V.4ORCID,Zakharova N. A.5

Affiliation:

1. Tyumen State Medical University, Ministry of Health of the Russia

2. Khanty-Mansiysk Regional Clinical Hospital

3. Nizhny Novgorod Regional Clinical Oncological Dispensary

4. N.N. Petrov National Medical Research Oncology Center, Ministry of Health of Russia

5. Luton and Dunstable University Hospital

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.

Publisher

Publishing House ABV Press

Subject

Pharmacology (medical),Obstetrics and Gynecology,Radiology, Nuclear Medicine and imaging,Oncology,Surgery

Reference19 articles.

1. Zakharova N.A., Semiglazov V.F., Duffy S.W. Breast cancer screening: problems and solutions. Moscow: GEOTAR-MEDIA, 2011. Pр. 65, 66. (In Russ.)

2. Situation with cancer care in Russia in 2021 (incidence and mortality). Ed. by A.D. Kaprin, V.V. Starinskiy, A.O. Shakhzadova. Moscow: P.A. Herzen Moscow Oncology Research Institute – a branch of the National Medical Research Center of Radiology, Ministry of Health of Russia, 2020. 239 p. (In Russ.)

3. McKinney S.M., Sieniek M., Godbole V. et al. International evaluation of an AI system for breast cancer screening. Nature 2020;577: 7788. DOI: 10.1038/s41586-019-1799-6

4. Solodskiy V.A., Kaprin A.D., Nudnov N.V. et al. Utility of artificial intelligence for assessing the risk of breast cancer on mammographic images (clinical examples). Vestnik Rossiyskogo nauchnogo tsentra rentgenoradiologii = Bulletin of the Russian Research Center of Radiology 2023;(1):25–32. (In Russ.).

5. Semiglazov V.F., Semiglazov V.V. Breast cancer screening. Prakticheskaya onkologiya = Practical Oncology 2011;(2):60–5. (In Russ.).

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