Abstract
Relevance: Breast masses remain a public health dilemma worldwide. Breast cancer (BC) is one of the leading causes of cancer mortality. So,
 in Kazakhstan in 2018-2019. Breast cancer ranked 3rd in the structure of mortality from malignant diseases, with a share of 8.7-8.1%.
 Breast cancer is the most common cancer among women. According to the WHO, over 2.2 million breast cancer cases were registered in 2020.
 In the world, breast cancer ranks fifth among the causes of death (685,000 deaths per year).
 On average, about 3000 breast cancer cases are detected in the Republic of Kazakhstan annually, and more than 1380 women die from this
 disease. The high rate of increase in morbidity and mortality, which is ahead of most other tumors, puts the problem of breast cancer in the lead.
 The rapid progress of technological developments in medicine has positively influenced the diagnosis of breast formations. Samsung Medison
 introduced the S-Detect function for the breast, which allows you to highlight the formation and characterize the affected area. Previously, reliable
 assessments were made using sonoelastography methods.
 The study aimed to determine the role of the S-Detect function in the differential diagnosis of breast masses.
 Methods: A comparative analysis of images taken with the S-Detect function and the sonoelastography method was carried out in 50 patients.
 Results: The S-Detect program made it possible to make a correct diagnosis in 87-93% (46 out of 50) of cases, confirmed by the results of
 morphological verification (histology, cytology). The sonoelastography method showed correct results in 75-80% (40 out of 50) cases.
 Conclusion: The use of S-Detect technology in analyzing the nature of formations in the mammary glands showed good agreement with
 B-mode, color (CFM) and power Doppler. S-Detect technology can be effectively used by novice radiologists when writing conclusions.
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