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Kudryavtsev N.D.

Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department

Kozhikhina D.D.

Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department

Goncharova I.V.

Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department

Shulkin I.M.

Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department

Sharova D.E.

Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department

Arzamasov K.M.

Research and Practical Clinical Center for Diagnostic and Telemedicine Technologies

Vladzymirskyy A.V.

Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department

The impact of artificial intelligence on double reading of mammograms

Authors:

Kudryavtsev N.D., Kozhikhina D.D., Goncharova I.V., Shulkin I.M., Sharova D.E., Arzamasov K.M., Vladzymirskyy A.V.

More about the authors

Journal: Russian Journal of Preventive Medicine. 2024;27(5): 32‑37

DOI: 10.17116/profmed20242705132

Read: 1837 times

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Table of contents

THE IMPACT OF ARTIFICIAL INTELLIGENCE ON DOUBLE READING OF MAMMOGRAMS
THE IMPACT OF ARTIFICIAL INTELLIGENCE ON DOUBLE READING OF MAMMOGRAMS

To cite this article:

Kudryavtsev ND, Kozhikhina DD, Goncharova IV, Shulkin IM, Sharova DE, Arzamasov KM, Vladzymirskyy AV. The impact of artificial intelligence on double reading of mammograms. Russian Journal of Preventive Medicine. 2024;27(5):32‑37. (In Russ.)
https://doi.org/10.17116/profmed20242705132

Подписка 2026 Профилактическая медицина (Russian Journal of Preventive Medicine)
МСФ на ЯМ
Использование инфографики авторами научных работ
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Abstract:

Mammography is a gold standard for early diagnosis of breast tumors. Independent double-reading of mammograms by two different radiologists is recommended to use in order to provide a high quality of preventive examination and to detect additional cases of malignant neoplasms. Nevertheless, this approach increases the work load and time of mammography results receiving.

OBJECTIVE

To assess the impact of artificial intelligence (AI) algorithm on the duration of double reading of mammograms.

MATERIAL AND METHODS

The study was conducted at the Moscow Reference Centre for Radiology Diagnostics (Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies, telemedai.ru). Mammograms were reviewed and radiology reports were prepared in the Unified Radiological Information Service of the Unified Medical Information and Analytical System in Moscow. Twelve radiologists who specialize in mammogram descriptions participated in the study. Russian-made softwarewas used for automatic analysis of mammograms. Two scenarios were implemented as a part of the study: the first — double-reading by radiologists, the second — first reading by AI algorithm, second reading by radiologist.

RESULTS

In the first scenario, a double reading was performed for 480 mammograms, in the second one — 510 mammograms. The average duration of the double-reading for the first scenario was 34:12:18 (hh:mm:ss), for the second one — 11:28:58. Application of AI algorithm allowed to reduce the duration of double-reading by 66.4% (p<0.0001).

CONCLUSION

The use of artificial intelligence algorithm in analysis of preventive mammography examinations allowed to reduce the duration of double-reading and work load on radiologists.

Keywords:

screening
prevention
mammography
artificial intelligence
time study
breast cancer

Authors:

Kudryavtsev N.D.

Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department

Kozhikhina D.D.

Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department

Goncharova I.V.

Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department

Shulkin I.M.

Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department

Sharova D.E.

Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department

Arzamasov K.M.

Research and Practical Clinical Center for Diagnostic and Telemedicine Technologies

Vladzymirskyy A.V.

Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department

Received:

28.11.2022

Accepted:

18.01.2024

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