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The value of computer aided detection system for mammography in the fatty breast: the results of the single-centered, prospective, randomized clinical trial

https://doi.org/10.24835/1607-0763-1040

Abstract

Aim. To assess the reasonability to use CAD added to mammography with subsequent targeted ultrasound (US) of CAD markings in patients with low-density (ACR A-В) breasts.

Materials and methods. In the prospective study we included 2326 women with low breast density. They were randomized for CAD (MammCheck II of our own design) checking with subsequent targeted US (MMG + CAD group) or without CAD (MMG only group). After the initial screening we performed the 3-year follow-up phase.

Results. Totally, during the primary screening in the MMG only group we found 77 breast cancers (BCs) (28,57% of them sized less than 1 cm), in the MMG + CAD group – 69 BCs (36,23% of them sized less than 1 cm), р > 0.05. The suspicious lesion was identified only during the targeted US of the CAD marking in 4 of 25 women in the MMG + CAD group, and all these BCs were below 1 cm in size. During the subsequent follow-up in the MMG only group we found 5 additional BCs, with no such cases in the MMG + CAD group (p < 0.05). Three of these five BCs were retrospectively marked by CAD. The only visible BC that was not marked by CAD was 3 mm in size.

Discussion. The overall false positive marking rate was 0.31 и 0.28 per film-screen and digital image, respectively (р > 0.05).

Conclusion. The CAD usage added to mammography with subsequent targeted US of markings in patients with low-density (ACR A-В) breast is reasonable due to the significant decrease of the BC rate diagnosed during the 3-year follow-up. This combination detected 77 of the 77 (100.00%) BCs compared to 69 of 74 (93.24%) BCs when only mammography used.

About the Authors

D. V. Pasynkov
State-financed Institution of Mari El Republic “Republican Oncology Dispensary”; Mari State University, Ministry of Education and Science of Russian Federation; Kazan State Medical Academy – Branch Campus of the Federal State Budgetary Educational Institution of Further Professional Education “Russian Medical Academy of Continuous Professional Education”, Ministry of Healthcare of the Russian Federation
Russian Federation

Dmitry V. Pasynkov – Cand. of Sci. (Med.), Assistant Professor of the Department of Ultrasound Diagnostics, Kazan State Medical Academy – Branch Campus of the Federal State Budgetary Educational Institution of Further Professional Education “Russian Medical Academy of Continuous Professional Education”; Associate Professor of the Department of Radiology and Oncology, Mari State University; Head of Radiology Department, State-financed Institution of Mari El Republic “Republican Oncology Dispensary”.

22 Osipenko str., Yoshkar-Ola 424037; 1 Lenin square, Yoshkar-Ola 424000; 36 Butlerova str., Kazan 420012.

Phone: +7-902-329-76-51


Competing Interests:

No



M. G. Tukhbatullin
Kazan State Medical Academy – Branch Campus of the Federal State Budgetary Educational Institution of Further Professional Education “Russian Medical Academy of Continuous Professional Education”, Ministry of Healthcare of the Russian Federation
Russian Federation

Munir G. Tukhbatullin – Doct. of Sci. (Med.), Professor, Head of Department of Ultrasound Diagnostics, Kazan State Medical Academy – Branch Campus of the Federal State Budgetary Educational Institution of Further Professional Education “Russian Medical Academy of Continuous Professional Education” of the Ministry of Healthcare of the Russian Federation.

36 Butlerova str., Kazan 420012.


Competing Interests:

No



R. Sh. Khasanov
Kazan State Medical Academy – Branch Campus of the Federal State Budgetary Educational Institution of Further Professional Education “Russian Medical Academy of Continuous Professional Education”, Ministry of Healthcare of the Russian Federation
Russian Federation

Rustem Sh. Khasanov – Corresponding Member of the Russian Academy of Sciences, Doct. of Sci. (Med.), Professor, Director and Head of Department of Oncology, Radiation Oncology and Palliative Care of the Kazan State Medical Academy – Branch Campus of the Russian Medical Academy of Continuous Professional Education.

36 Butlerova str., Kazan 420012.


Competing Interests:

No



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Supplementary files

Review

For citations:


Pasynkov D.V., Tukhbatullin M.G., Khasanov R.Sh. The value of computer aided detection system for mammography in the fatty breast: the results of the single-centered, prospective, randomized clinical trial. Medical Visualization. 2021;25(4):93-105. (In Russ.) https://doi.org/10.24835/1607-0763-1040

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ISSN 1607-0763 (Print)
ISSN 2408-9516 (Online)