D.V. Pasynkov1-3, R.Sh. Khasanov3, M.G. Tukhbatullin3, S.N. Merinov1
1Oncology Dispensary of Mari El Republic, Yoshkar-Ola
2Mari State University, Yoshkar-Ola
3Kazan State Medical Academy ― Branch Campus of the FSBEI FPE RMACPE MOH Russia, Kazan
Pasynkov Dmitry V. ― Cand. of Sci. (Med.), Head of Radiology Department of the Oncology Dispensary of Mari El Republic; Associate Professor of the Department of Radiation Diagnostics, Oncology of the Mari State University; Assistant Professor of the Department of Ultrasound Diagnostics of the Kazan State Medical Academy ― Branch Campus of the FSBEI FPE RMACPE MOH Russia
22 Osipenko Str., Yoshkar-Ola, 424037, Russian Federation; tel. +7-902-329-76-51, e-mail: firstname.lastname@example.org; ORCID ID: 0000-0003-1888-2307, SPIN-code: 7264-3745
Abstract. We present the review of the literature devoted to the computer-aided detection system (CAD) algorithms and the outcomes of their adoption into the breast cancer (BC) screening programs. We discuss the information about the possibility to increase the BC detection rate and reduce the variability of the mammography interpretation by radiologists with the help of CAD. Nowadays it is possible to use CAD only in combination with the visual mammography analysis performed by the radiologist. Moreover radiologist first needs to assess the images and accomplish his own opinion and only then to check the CAD outputs. It is also seems to be rational to improve further the CAD algorithms (based both on the conventional technologies and neuronal networks), assess their usage approaches and their integration into the multimodal breast pathology diagnostic workup in the routine clinical practice.
Key words: breast cancer, screening, mammography, computer-aided detection system, detection, differentiation.