Abstract

ObjectivesVisual inspection is generally used to assess breast density. Our study aim was to compare visual assessment of breast density of experienced and inexperienced readers with semi-automated analysis of breast density.MethodsBreast density was assessed by an experienced and an inexperienced reader in 200 mammograms and scored according to the quantitative BI-RADS classification. Breast density was also assessed by dedicated software using a semi-automated thresholding technique. Agreement between breast density classification of both readers as well as agreement between their assessment versus the semi-automated analysis as reference standard was expressed as the weighted kappa value.ResultsUsing the semi-automated analysis, agreement between breast density measurements of both breasts in both projections was excellent (ICC >0.9, P < 0.0001). Reproducibility of the semi-automated analysis was excellent (ICC >0.8, P < 0.0001). The experienced reader correctly classified the BI-RADS breast density classification in 58.5% of the cases. Classification was overestimated in 35.5% of the cases and underestimated in 6.0% of the cases. Results of the inexperienced reader were less accurate. Agreement between the classification of both readers versus the semi-automated analysis was considered only moderate with weighted kappa values of 0.367 (experienced reader) and 0.232 (inexperienced reader).ConclusionVisual assessment of breast density on mammograms is inaccurate and observer-dependent.

Highlights

  • Breast density on a conventional mammogram is mainly composed of two components: fatty and fibroglandular tissue

  • We aimed to evaluate the accuracy of visual assessment of breast density for both experienced and inexperienced readers as compared to the semi-automated assessment of breast density using a dedicated software program

  • Similar excellent results were acquired for the right breast in both projections: intra-class correlation coefficient (ICC) 0.91

Read more

Summary

Introduction

Breast density on a conventional mammogram is mainly composed of two components: fatty and fibroglandular tissue. On a conventional mammogram, fat appears dark, whereas fibroglandular tissue appears white [1]. In 1976, Wolfe was one of the first to demonstrate an association between breast density and the risk of developing breast cancer [2] This association was confirmed by McCormack et al In a large meta-analysis including 42 studies, they showed that the risk of developing breast cancer is increased in dense breasts. The magnitude of this risk can be as high as 4.6-fold for the most dense breasts

Objectives
Methods
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call