Correlation of Ultrasound to Mammogram in Breast Lesions by BIRADS Category

  • Mohadeseh Zadehmir Department of Radiology, School of Medicine, Zahedan University of Medical Sciences, Zahedan, Iran
  • Amin Mashhadi Department of Radiology, School of Medicine, Zahedan University of Medical Sciences, Zahedan, Iran
  • Behnaz Jahed Department of Radiology, School of Medicine, Zahedan University of Medical Sciences, Zahedan, Iran
Keywords: Breast, Mammography, Neoplasms, Ultrasonography

Abstract

Background: Breast cancer is the most common female cancer and the second leading cause of death worldwide. The gold standard tool for screening breast cancer, mammography has limitations in some instances, such as patients with dense breast tissue. This study evaluates the correlation of Ultrasound (US) to mammography in breast lesions in BI-RADS.

Methods: This prospective cross-sectional study was conducted at a tertiary hospital during 2019-2021. Women who referred to the radiology department for mammography with abnormalities appearing in their mammograms, with a minimum age of 40 and older, underwent ultrasonography. The results of mammography and US evaluations compared according to BI-RADS category. Statistical software SPSS was used to analyze the form data.

Results: In this study, 156 women with a mean age of 48/9 years registered. The US reports were equivalent to mammographic BI-RADS category 2 in 23 cases. All the 26 patients with mammographic BI-RADS category were categorized into BI-RADS 2 by US. Among 43 lesions with BI-RADS category 4 and 21 with BI-RADS category 5, 90/6% and 95/2% of sonography reports were similar to mammography findings. Based on the Pearson correlation coefficient of 0/68, there is a correlation between the results of US and mammography in this study.

Conclusion: This study reveals that US can be an excellent complement to mammography, particularly in identifying early-stage breast cancer in mammographic BI-RADS category 0 lesions. The mammographic-sonographic correlation should lead to more accurate diagnoses and better patient care.

Published
2024-06-15
Section
Articles