scholarly journals Subjective Versus Quantitative Methods of Assessing Breast Density

Diagnostics ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. 331 ◽  
Author(s):  
Wijdan Alomaim ◽  
Desiree O’Leary ◽  
John Ryan ◽  
Louise Rainford ◽  
Michael Evanoff ◽  
...  
Keyword(s):  
Breast Density ◽  
Quantitative Methods ◽  
Weighted Kappa ◽  
Subjective Assessment ◽  
Evidence Base ◽  
Assessment Methods ◽  
Digital Data ◽  
Mammographic Breast Density ◽  
National Breast ◽  
Busy Clinical Setting

In order to find a consistent, simple and time-efficient method of assessing mammographic breast density (MBD), different methods of assessing density comparing subjective, quantitative, semi-subjective and semi-quantitative methods were investigated. Subjective MBD of anonymized mammographic cases (n = 250) from a national breast-screening programme was rated by 49 radiologists from two countries (UK and USA) who were voluntarily recruited. Quantitatively, three measurement methods, namely VOLPARA, Hand Delineation (HD) and ImageJ (IJ) were used to calculate breast density using the same set of cases, however, for VOLPARA only mammographic cases (n = 122) with full raw digital data were included. The agreement level between methods was analysed using weighted kappa test. Agreement between UK and USA radiologists and VOLPARA varied from moderate (κw = 0.589) to substantial (κw = 0.639), respectively. The levels of agreement between USA, UK radiologists, VOLPARA with IJ were substantial (κw = 0.752, 0.768, 0.603), and with HD the levels of agreement varied from moderate to substantial (κw = 0.632, 0.680, 0.597), respectively. This study found that there is variability between subjective and objective MBD assessment methods, internationally. These results will add to the evidence base, emphasising the need for consistent, simple and time-efficient MBD assessment methods. Additionally, the quickest method to assess density is the subjective assessment, followed by VOLPARA, which is compatible with a busy clinical setting. Moreover, the use of a more limited two-scale system improves agreement levels and could help minimise any potential country bias.

scholarly journals Statistical Evaluation of a Fully Automated Mammographic Breast Density Algorithm

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Mohamed Abdolell ◽  
Kaitlyn Tsuruda ◽  
Gerry Schaller ◽  
Judy Caines
Keyword(s):  
Clinical Practice ◽  
Mammographic Density ◽  
Breast Density ◽  
Quantitative Methods ◽  
Statistical Evaluation ◽  
Comprehensive Evaluation ◽  
Density Measurement ◽  
Mammographic Breast Density ◽  
Reference Standard ◽  
Effective Use

Visual assessments of mammographic breast density by radiologists are used in clinical practice; however, these assessments have shown weaker associations with breast cancer risk than area-based, quantitative methods. The purpose of this study is to present a statistical evaluation of a fully automated, area-based mammographic density measurement algorithm. Five radiologists estimated density in 5% increments for 138 “For Presentation” single MLO views; the median of the radiologists’ estimates was used as the reference standard. Agreement amongst radiologists was excellent, ICC = 0.884, 95% CI (0.854, 0.910). Similarly, the agreement between the algorithm and the reference standard was excellent, ICC = 0.862, falling within the 95% CI of the radiologists’ estimates. The Bland-Altman plot showed that the reference standard was slightly positively biased (+1.86%) compared to the algorithm-generated densities. A scatter plot showed that the algorithm moderately overestimated low densities and underestimated high densities. A box plot showed that 95% of the algorithm-generated assessments fell within one BI-RADS category of the reference standard. This study demonstrates the effective use of several statistical techniques that collectively produce a comprehensive evaluation of the algorithm and its potential to provide mammographic density measures that can be used to inform clinical practice.

scholarly journals Interobserver Variability and Distribution of Mammographic Breast Density in Patients with Invasive Breast Carcinoma using the Fifth Edition of BI-RADS Guidelines

2021 ◽  
Vol 20 (3) ◽  
Author(s):  
Siti Soraya Ab Rahman ◽  
Luqman Hakim Mohd Kamal ◽  
Farah Hani Ab Rahman ◽  
Rosliza Ghazali ◽  
Emelianah Saidil ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Carcinoma ◽  
Breast Density ◽  
Interobserver Variability ◽  
Weighted Kappa ◽  
Invasive Breast Carcinoma ◽  
Mammographic Breast Density ◽  
Dense Breasts ◽  
Increased Risk ◽  
Acceptable Method

INTRODUCTION: Breast density is associated with an increased risk of developing breast cancer. The present study aims to determine the distribution and interobserver variability of mammographic breast density in patients with invasive breast carcinoma, using the fifth edition of BI-RADS guidelines. It is part of a larger study to ascertain the association between mammographic breast density and breast cancer characteristics. MATERIALS AND METHODS: Two radiologists independently assessed 122 mammograms of patients with histologically confirmed invasive breast carcinoma and assigned the breast density to categories A-D based on the fifth edition of BI-RADS guidelines. The interobserver variability was calculated using the weighted kappa coefficient and the level of agreement was determined using the Landis and Koch guidelines. RESULTS: In this study, 55.7% of patients with invasive breast carcinoma were assigned to category B, followed by category C with 36.1%. Only 4.1% of patients were assigned to categories A and D respectively. There was substantial agreement between the two readers’ judgement, k=0.610 (95% CI, 0.523-0.697), p < 0.001 for specific BI-RADS categories. CONCLUSION: Among patients with invasive breast carcinoma, there were more patients with non-dense breasts than dense breasts. Overall, there is a substantial interobserver agreement when radiologists used the fifth edition of the BI-RADS guideline, which is in line with results found in the literature. This suggests that the BI-RADS density classification is an acceptable method and can be reliably used in clinical practice.

scholarly journals Relationship of mammographic densities to breast cancer risk

2021 ◽  
Vol 52 (1) ◽  
Author(s):  
Engy A. Ali ◽  
Mariam Raafat
Keyword(s):  
Breast Cancer ◽  
Breast Density ◽  
Statistical Significance ◽  
Significant Risk ◽  
Close Relation ◽  
Mammographic Screening ◽  
Mammographic Breast Density ◽  
Study Results ◽  
Relationship Of ◽  
Mammographic Densities

Abstract Background Our goal was to find out the relation between mammographic densities and cancer of the breast according to the recent ACR classification. From the medical records of Kasereliny Hospital, 49,409 women were subjected to digital mammography for screening, of which 1500 breast cancer cases were collected. The mammographic categories of breast density were ACR-A, B, C, and D, which were detected by two senior radiologists. All radiological classifications were made using both standard mammographic views bilaterally. Two-sided tests of statistical significance were represented by all the P values. Results From 2014 to 2019, 49,409 women came for digital mammographic screening, their age ranges between 40 and 65, and all of them are included in the study. One thousand cases of breast cancer cases were radiologically and pathologically diagnosed. Different densities were arranged in descending pattern depending on the frequency of positive cases: D (13.7%), C (3.3%), B (2.7%), A (2.2%). There is positive significant risk ratio among every higher mammographic density in comparison to the lower density. Conclusion Our study results show that the risk of breast cancer is in close relation to the mammographic breast density.

How Mammographic Breast Density Affects Radiologists' Visual Search Patterns

2014 ◽  
Vol 21 (11) ◽  
pp. 1386-1393 ◽  
Author(s):  
Dana S. AL Mousa ◽  
Patrick C. Brennan ◽  
Elaine A. Ryan ◽  
Warwick B. Lee ◽  
Jennifer Tan ◽  
...  
Keyword(s):  
Visual Search ◽  
Breast Density ◽  
Mammographic Breast Density ◽  
Search Patterns

scholarly journals Interactions of alcohol and postmenopausal hormone use in regards to mammographic breast density

2018 ◽  
Vol 29 (8) ◽  
pp. 751-758
Author(s):  
Lusine Yaghjyan ◽  
Graham Colditz ◽  
Heather Eliassen ◽  
Bernard Rosner ◽  
Aleksandra Gasparova ◽  
...  
Keyword(s):  
Breast Density ◽  
Mammographic Breast Density ◽  
Postmenopausal Hormone ◽  
Hormone Use
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