Investigating the Frequency Distribution of Breast Imaging Reporting and Data System (Birads) Classification and Its Changes in Mammographic Findings in a Private Center in Isfahan City, Iran, During the Years 2010 to 2014 Publisher



Sirous M¹ ; Sirous AM² ; Sotoodehshahnani P²
Source: Journal of Isfahan Medical School Published:2018

Abstract

Background: Cancer screening and timely cancer diagnosis is of the effective ways to reduce mortality rates and treatment costs. Therefore, the present research intended to take an effectual step in early diagnosis of breast cancer, in knowledge level enhancement regarding the importance of carrying out mammograms, and in provision of physical healthcare to people through prevention of cancer by determining frequencies of malignant breast cancers in mammographic X-ray examinations and prevalence rate of breast cancer in Isfahan Province, Iran. Methods: This descriptive-cross-sectional study was conducted at a private imaging center in Isfahan City, in years 2016-2017. The statistical population was mammography reports present at the center for the period of 2010-2014. The researcher visited the unit responsible for file and electronic archives of this center and extracted mammography information related to 924 patients. This information concerned mammography study of both breasts using the mediolateral and craniocaudal views. The mammograms were interpreted by an expert radiologist and were classified based on the Breast Imaging Reporting and Data System (BIRADS) classification. Findings: There was no significant relationship between the age and BIRADS class (P > 0.050), but a significant relationship was observed between breast tissue density and this classification system (P < 0.050). Moreover, there was a relationship between mammographic findings such as architectural distortion and BIRADS class (P < 0.050). Conclusion: Classifying mammographic findings in BIRADS is useful in predicting malignancy. © 2018, Isfahan University of Medical Sciences(IUMS). All rights reserved.