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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

Views: 587

Downloaded: 27

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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 2025 (Russian Journal of Preventive Medicine)
 
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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

List of references:

  1. World Health Organization. Breast Cancer. Published 2021. Accessed March 20, 2024. https://www.who.int/news-room/fact-sheets/detail/breast-cancer
  2. Fitzmaurice C, Allen C, Barber RM, et al. Global, Regional, and National Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life-years for 32 Cancer Groups, 1990 to 2015. JAMA Oncology. 2017;3(4):524.  https://doi.org/10.1001/jamaoncol.2016.5688
  3. Giordano L, Von Karsa L, Tomatis M, et al. Mammographic Screening Programmes in Europe: Organization, Coverage and Participation. Journal of Medical Screening. 2012;19(1 suppl):72-82.  https://doi.org/10.1258/jms.2012.012085
  4. Smith RA, Andrews KS, Brooks D, et al. Cancer screening in the United States, 2018: A review of current American Cancer Society guidelines and current issues in cancer screening. CA: a Cancer Journal for Clinicians. 2018; 68(4):297-316.  https://doi.org/10.3322/caac.21446
  5. Prikaz Ministerstva Zdravooxraneniya Rossijskoj Federacii ot 13.03.2019 №124n «Ob Utverzhdenii Poryadka provedeniya profilakticheskogo medicinskogo osmotra i dispanserizacii opredelenny’x grupp vzroslogo naseleniya». Accessed March 20, 2024. (In Russ.). https://normativ.kontur.ru/document?moduleId=1&documentId=383371
  6. Metodicheskie rekomendacii po vy’polneniyu programmy’ populyacionnogo skrininga zlokachestvenny’x novoobrazovanij molochnoj zhelezy’ sredi zhenskogo naseleniya. Ministerstvo zdravooxraneniya Rossijskoj Federacii. 2019. Accessed March 20, 2024. (In Russ.). https://normativ.kontur.ru/document?moduleId=1&documentId=383371
  7. Morozov SP, Vetsheva NN, Didenko VV, et al. Organizaciya programmy’ populyacionnogo skrininga zlokachestvenny’x novoobrazovanij molochnoj zhelezy’ sredi zhenskogo naseleniya. Metodicheskie rekomendacii. 2020. Accessed March 20, 2024. (In Russ.). https://telemedai.ru/biblioteka-dokumentov/organizaciya-programmy-populyacionnogo-skrininga-zlokachestvennyh-novoobrazovanij-molochnoj-zhelezy-sredi-zhenskogo-naseleniya?ysclid=lu80vtdwpb331278525
  8. Brown J, Bryan S, Warren R. Mammography screening: an incremental cost effectiveness analysis of double versus single reading of mammograms. BMJ. 1996;312(7034):809-812.  https://doi.org/10.1136/bmj.312.7034.809
  9. Schünemann HJ, Lerda D, Quinn C, et al. Breast Cancer Screening and Diagnosis: A Synopsis of the European Breast Guidelines. Annals of Internal Medicine. 2020;172(1):46.  https://doi.org/10.7326/M19-2125
  10. Yala A, Schuster T, Miles R, Barzilay R, Lehman C. A Deep Learning Model to Triage Screening Mammograms: A Simulation Study. Radiology. 2019; 293(1):38-46.  https://doi.org/10.1148/radiol.2019182908
  11. Morozov SP, Vladzymyrskyy AV, Shulkin IM, et al. Feasibility of using artificial intelligence in radiology (first year of Moscow experiment on computer vision). Vrach i informacionnye tehnologii. 2022;(1):12-29. (In Russ.). https://doi.org/10.25881/18110193_2022_1_12
  12. Morozov SP, Vladzymyrskyy AV, Ledikhova NV, et al. Moscow experiment on computer vision in radiology: involvement and participation of radiologists. Vrach i informacionnye tehnologii. 2020;(4):14-23. (In Russ.). https://doi.org/10.37690/1811-0193-2020-4-14-23
  13. Vladzymyrskyy AV, Kudryavtsev ND, Kozhikhina DD, et al. Effectiveness of using artificial intelligence technologies for dual descriptions of the results of preventive lung examinations. Russian Journal of Preventive Medicine. 2022;25(7):7-15. (In Russ.). https://doi.org/10.17116/profmed2022250717
  14. Morozov SP, Gavrilov AV, Arkhipov IV, et al. Effect of artificial intelligence technologies on the CT scan interpreting time in COVID-19 patients in inpatient setting. Russian Journal of Preventive Medicine. 2022;25(1):14-20. (In Russ.). https://doi.org/10.17116/profmed20222501114
  15. Vasilev YA, Tyrov IA, Vladzymyrskyy AV, et al. Double-reading mammograms using artificial intelligence technologies: A new model of mass preventive examination organization. Digital Diagnostics. 2023;4(2):93-104. (In Russ.). https://doi.org/10.17816/DD321423
  16. Morozov SP, Vladzymyrskyy AV, Vetsheva NN, et al. Reference center of radiology: justification and concept. Menedzhment v zdravoohranenii. 2019;(8):25-34. (In Russ.).
  17. GBUZ «NPKCz DiT DZM». Ediny’j radiologicheskij informacionny’j servis. 2020. Accessed March 20, 2024. (In Russ.). https://tele-med.ai/proekty/edinyj-radiologicheskij-informacionnyj-servis_2020
  18. Morozov SP, Vladzymyrskyy AV, Klyashtornyy VG, et al. Clinical acceptance of software based on artificial intelligence technologies (radiology). 2019. Series Best Practices in Medical Imaging. Issue 57. Accessed March 20, 2024. https://doi.org/10.48550/ARXIV.1908.00381
  19. Kudryavcev ND, Omel’chenko AV, Sharova DE, Vasil’ev YuA. Chrono-analytics for radiology V1. Svidetel’stvo o gosudarstvennoj registracii programmy’ dlya E’VM №2023662432. Data gosudarstvennoj registracii v Reestre programm dlya E’VM 07.06.2023. Accessed March 20, 2024. (In Russ.). https://telemedai.ru/documents/svidetelstvo-o-gosreg-evm-no-2023662432-1?ysclid=lu82ivge7h972317594
  20. Raya-Povedano JL, Romero-Martín S, Elías-Cabot E, et al. AI-based Strategies to Reduce Workload in Breast Cancer Screening with Mammography and Tomosynthesis: A Retrospective Evaluation. Radiology. 2021;300(1):57-65.  https://doi.org/10.1148/radiol.2021203555
  21. Rodriguez-Ruiz A, Lång K, Gubern-Merida A, et al. Can we reduce the workload of mammographic screening by automatic identification of normal exams with artificial intelligence? A feasibility study. European Radiology. 2019;29(9):4825-4832. https://doi.org/10.1007/s00330-019-06186-9
  22. Dembrower K, Wåhlin E, Liu Y, et al. Effect of artificial intelligence-based triaging of breast cancer screening mammograms on cancer detection and radiologist workload: a retrospective simulation study. The Lancet. Digital Health. 2020;2(9):e468-e474. https://doi.org/10.1016/S2589-7500(20)30185-0
  23. Lauritzen AD, Rodríguez-Ruiz A, von Euler-Chelpin MC, et al. An Artificial Intelligence—based Mammography Screening Protocol for Breast Cancer: Outcome and Radiologist Workload. Radiology. 2022;304(1):41-49.  https://doi.org/10.1148/radiol.210948
  24. McKinney SM, Sieniek M, Godbole V, et al. International evaluation of an AI system for breast cancer screening. Nature. 2020;577(7788):89-94.  https://doi.org/10.1038/s41586-019-1799-6
  25. Ong MS, Mandl KD. National Expenditure For False-Positive Mammograms And Breast Cancer Overdiagnoses Estimated At $4 Billion A Year. Health Affairs (Project Hope). 2015;34(4):576-583.  https://doi.org/10.1377/hlthaff.2014.1087

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