Comparison of subjective and fully automated methods for measuring mammographic density

2017 ◽  
Vol 59 (2) ◽  
pp. 154-160 ◽  
Author(s):  
Nataliia Moshina ◽  
Marta Roman ◽  
Sofie Sebuødegård ◽  
Gunvor G Waade ◽  
Giske Ursin ◽  
...  
Keyword(s):  
Mammographic Density ◽  
Breast Density ◽  
Screening Program ◽  
Weighted Kappa ◽  
Screening Mammography ◽  
Point Scale ◽  
Mean Values ◽  
Automated Method ◽  
Cancer Screening Program ◽  
Density Assessment

Background Breast radiologists of the Norwegian Breast Cancer Screening Program subjectively classified mammographic density using a three-point scale between 1996 and 2012 and changed into the fourth edition of the BI-RADS classification since 2013. In 2015, an automated volumetric breast density assessment software was installed at two screening units. Purpose To compare volumetric breast density measurements from the automated method with two subjective methods: the three-point scale and the BI-RADS density classification. Material and Methods Information on subjective and automated density assessment was obtained from screening examinations of 3635 women recalled for further assessment due to positive screening mammography between 2007 and 2015. The score of the three-point scale (I = fatty; II = medium dense; III = dense) was available for 2310 women. The BI-RADS density score was provided for 1325 women. Mean volumetric breast density was estimated for each category of the subjective classifications. The automated software assigned volumetric breast density to four categories. The agreement between BI-RADS and volumetric breast density categories was assessed using weighted kappa (kw). Results Mean volumetric breast density was 4.5%, 7.5%, and 13.4% for categories I, II, and III of the three-point scale, respectively, and 4.4%, 7.5%, 9.9%, and 13.9% for the BI-RADS density categories, respectively ( P for trend < 0.001 for both subjective classifications). The agreement between BI-RADS and volumetric breast density categories was kw = 0.5 (95% CI = 0.47–0.53; P < 0.001). Conclusion Mean values of volumetric breast density increased with increasing density category of the subjective classifications. The agreement between BI-RADS and volumetric breast density categories was moderate.

ACR BI-RADS Breast Density and its correlation with breast cancer screening program

QJM ◽  
2021 ◽  
Vol 114 (Supplement_1) ◽  
Author(s):  
Ghada Khaled Ahmed ◽  
Mounir Sobhy Guirguis ◽  
Mona Gamalluldin Alsayed Alkaphoury
Keyword(s):  
Breast Cancer ◽  
Risk Factor ◽  
Cancer Screening ◽  
Breast Cancer Screening ◽  
Breast Density ◽  
Screening Program ◽  
Dense Breast ◽  
Egyptian Population ◽  
Breast Cancer Screening Program ◽  
Cancer Screening Program

Abstract Background Breast cancer remains one of the leading causes of death in women over the age of 40 years. Breast cancer screening is used to identify women with asymptomatic cancer with the goal of enabling women to undergo less invasive treatments that lead to better outcomes, ideally at earlier stages and before the cancer progresses. Mammography is the best-studied breast cancer screening modality and the only recommended imaging tool for screening the general population of women. Objective to correlate the relation between ACR density of breast and breast cancer in screening program. Patients and Methods Our study included 40 women of breast cancer were depicted radiologically and histo-pathologically diagnosed after outreaching for screening by Digital Mammography by the Egyptian National Breast Cancer Screening Program in Ain Shams University Hospitals at period from January 2018 to October 2019.Their data were collected from the medical records of the program. Their age ranged between 40 and 65 years. Results According to the BI-RADS 5th edition 2013, cases were classified into four classes as follows: 6 were ACR-A (15.0%), 21 were ACR-B (52.5%), 12 were ACR-C (30.0%) and 1 were ACR-D (2.5%), So according to our study results dense breast shouldn’t be considered as a risk factor for breast cancer as we observed that the percentage of breast cancer in our study increases the most with average breast density ACR class B then increases with ACR class C and A respectively. Conclusion dense breast is not a risk factor for breast cancer, so further researches are needed to study the relationship between breast density and breast cancer in Egyptian population, to elucidate the role of breast density estimation in prediction of breast cancer considering the genotypical and phenotypical differences of the Egyptian population.

scholarly journals Mammographic density and histopathologic characteristics of screen-detected tumors in the Norwegian Breast Cancer Screening Program

2015 ◽  
Vol 4 (9) ◽  
pp. 205846011560434 ◽  
Author(s):  
Nataliia Moshina ◽  
Giske Ursin ◽  
Solveig Roth Hoff ◽  
Lars A Akslen ◽  
Marta Roman ◽  
...  
Keyword(s):  
Lymph Node ◽  
Mammographic Density ◽  
Screening Program ◽  
Tumor Characteristics ◽  
Breast Cancers ◽  
Dense Breasts ◽  
Node Positive ◽  
Cancer Screening Program ◽  
High Mammographic Density ◽  
Lymph Node Positive

Background High mammographic density might mask breast tumors, resulting in delayed diagnosis or missed cancers. Purpose To investigate the association between mammographic density and histopathologic tumor characteristics (histologic type, size, grade, and lymph node status) among women screened in the Norwegian Breast Cancer Screening Program. Material and Methods Information about 1760 screen-detected ductal carcinoma in situ (DCIS) and 7366 invasive breast cancers diagnosed among women aged 50–69 years, 1996–2010, was analyzed. The screening mammograms were classified subjectively according to the amount of fibroglandular tissue into fatty, medium dense, and dense by breast radiologists. Chi-square test was used to compare the distribution of tumor characteristics by mammographic density. Odds ratio (OR) of tumor characteristics by density was estimated by means of logistic regression, adjusting for screening mode (screen-film and full-field digital mammography), and age. Results Mean and median tumor size of invasive breast cancers was 13.8 and 12 mm, respectively, for women with fatty breasts, and 16.2 and 14 mm for those with dense breasts. Lymph node positive tumors were identified among 20.6% of women with fatty breasts compared with 27.2% of those with dense breasts ( P < 0.001). The proportion of DCIS was significantly lower for women with fatty (15.8%) compared with dense breasts (22.0%). Women with dense breasts had an increased risk of large (OR, 1.44; 95% CI, 1.18–1.73) and lymph node positive tumors (OR, 1.26; 95% CI, 1.05–1.51) compared with women with fatty and medium dense breasts. Conclusion High mammographic density was positively associated with tumor size and lymph node positive tumors.

scholarly journals Sensitivity of screening mammography by density and texture: a cohort study from a population-based screening program in Denmark

2019 ◽  
Vol 21 (1) ◽  
Author(s):  
My von Euler-Chelpin ◽  
Martin Lillholm ◽  
Ilse Vejborg ◽  
Mads Nielsen ◽  
Elsebeth Lynge
Keyword(s):  
Breast Density ◽  
Breast Imaging ◽  
Breast Tissue ◽  
Screening Program ◽  
Population Based ◽  
Screening Mammography ◽  
Dense Breast Tissue ◽  
Density Score ◽  
Screening Sensitivity ◽  
Low Sensitivity

Abstract Background Screening mammography works better in fatty than in dense breast tissue. Computerized assessment of parenchymal texture is a non-subjective method to obtain a refined description of breast tissue, potentially valuable in addition to breast density scoring for the identification of women in need of supplementary imaging. We studied the sensitivity of screening mammography by a combination of radiologist-assessed Breast Imaging Reporting and Data System (BI-RADS) density score and computer-assessed parenchymal texture marker, mammography texture resemblance (MTR), in a population-based screening program. Methods Breast density was coded according to the fourth edition of the BI-RADS density code, and MTR marker was divided into quartiles from 1 to 4. Screening data were followed up for the identification of screen-detected and interval cancers. We calculated sensitivity and specificity with 95% confidence intervals (CI) by BI-RADS density score, MTR marker, and combination hereof. Results Density and texture were strongly correlated, but the combination led to the identification of subgroups with different sensitivity. Sensitivity was high, about 80%, in women with BI-RADS density score 1 and MTR markers 1 or 2. Sensitivity was low, 67%, in women with BI-RADS density score 2 and MTR marker 4. For women with BI-RADS density scores 3 and 4, the already low sensitivity was further decreased for women with MTR marker 4. Specificity was 97–99% in all subgroups. Conclusion Our study showed that women with low density constituted a heterogenous group. Classifying women for extra imaging based on density only might be a too crude approach. Screening sensitivity was systematically high in women with fatty and homogenous breast tissue.

Attendance of the fourth (2008–2009) screening round of the Hungarian organized, nationwide breast cancer screening program

2013 ◽  
Vol 154 (50) ◽  
pp. 1975-1983 ◽  
Author(s):  
Imre Boncz ◽  
Lajos Döbrőssy ◽  
Zoltán Péntek ◽  
Attila Kovács ◽  
András Budai ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Screening Programme ◽  
Screening Program ◽  
Target Population ◽  
Screening Mammography ◽  
Insurance Fund ◽  
Age Group ◽  
Attendance Rate ◽  
Cancer Screening Program ◽  
Diagnostic Mammography

Introduction: Organised, nationwide screening for breast cancer with mammography in the age group between 45 and 65 years with 2 years screening interval started in Hungary in January 2002. Aim: The aim of this study is to analyze the attendance rate of nationwide breast screening programme for the 2008–2009 years. Method: The data derive from the database of the National Health Insurance Fund Administration. The ratio of women in the age group 45–65 years was calculated having either a screening mammography or a diagnostic mammography in the 4th screening round of the programme. Results: In the years 2000–2001, 7.6% of the women had an opportunistic screening mammography while in 2008–2009 31.2% of the target population had screening mammography within the organized programme. During the same periods 20.2% (2000–2001) and 20.4% (2008–2009) of women had a diagnostic mammography. Thus the total (screening and diagnostic) coverage of mammography increased from 26.6% (2000–2001) to 50.1% (2008–2009). The attendance rate failed to change between 2002 and 2009. Conclusions: In order to decrease the mortality due to breast cancer, the attendance rate of mammography screening programme should be increased. Orv. Hetil., 154(50), 1975–1983.

scholarly journals Relationship between Mammographic Density and Age in the United Arab Emirates Population

2019 ◽  
Vol 2019 ◽  
pp. 1-6 ◽  
Author(s):  
Young-Joon Kang ◽  
Soo Kyung Ahn ◽  
Seung Ja Kim ◽  
Hyeyoung Oh ◽  
Jaihong Han ◽  
...  
Keyword(s):  
United Arab Emirates ◽  
Breast Density ◽  
Breast Imaging ◽  
Screening Program ◽  
Age Groups ◽  
Significant Negative Correlation ◽  
Geographic Area ◽  
Screening Mammography ◽  
Mammographic Breast Density ◽  
The Relationship

Objective. Higher breast density is a strong, independent risk factor for breast cancer. Breast density varies by age, ethnicity, and geographic area although dense breast tissue has been associated with younger age and premenopausal status. The relationship between breast density and age in women in the United Arab Emirates (UAE) has not been determined. This study evaluated breast density in the UAE population and its relationship with age. Methods. Women participating in the national cancer screening program from August 2015 to May 2018 who underwent screening mammography were included. Breast parenchymal density was classified according to the American College of Radiology (ACR) Breast Imaging-Reporting and Data System (BI-RADS) from category a (almost entirely fatty) through d (extremely dense). Subjects were divided into six age groups, and the association between age and breast density was evaluated. Results. Of the 4911 women included, 1604 (32.7%), 2149 (43.8%), 1055 (21.5%), and 103 (2.1%) were classified as having categories a–d breast density, respectively. A significant negative correlation was observed between age and breast density category (p<0.001). Women of mean age 44 ± 7 years had the highest breast density, whereas those of mean age 56 ± 14 years had the lowest breast density. Comparisons of Emirati women with Lebanese and Western women showed that breast density was lower in Emirati women than in the other populations. Conclusions. To our knowledge, this is the first study to evaluate the relationship between mammographic breast density and age in UAE women. As in other populations, age was inversely related to breast density, but the proportion of Emirati women with dense breasts was lower than in other populations. Because this study lacked demographic, clinical, and histopathological data, further evaluation is required.

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