Mammographic screening for breast cancer: Is it delivering the expected outcomes in Australia?

2002 ◽  
Vol 38 (11) ◽  
pp. S50
Author(s):  
A Kricker
Keyword(s):  
Breast Cancer ◽  
Mammographic Screening ◽  
Expected Outcomes

scholarly journals Two-month stop in mammographic screening significantly impacts on breast cancer stage at diagnosis and upfront treatment in the COVID era

ESMO Open ◽  
2021 ◽  
Vol 6 (2) ◽  
pp. 100055
Author(s):  
A. Toss ◽  
C. Isca ◽  
M. Venturelli ◽  
C. Nasso ◽  
G. Ficarra ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Mammographic Screening ◽  
Cancer Stage ◽  
Stage At Diagnosis

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.

scholarly journals Likelihood of early detection of breast cancer in relation to false-positive risk in life-time mammographic screening: population-based cohort study

2013 ◽  
Vol 24 (10) ◽  
pp. 2501-2506 ◽  
Author(s):  
J.D.M. Otten ◽  
J. Fracheboud ◽  
G.J. den Heeten ◽  
S.J. Otto ◽  
R. Holland ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cohort Study ◽  
Early Detection ◽  
False Positive ◽  
Life Time ◽  
Population Based ◽  
Mammographic Screening ◽  
Screening Population

Mammographic Screening For Breast Cancer: Three Years to Date What Have We Wrought?

1976 ◽  
Author(s):  
Myron Moskowitz ◽  
Peter Gartside ◽  
Linda Gardella ◽  
Deborah Guenther
Keyword(s):  
Breast Cancer ◽  
Mammographic Screening

scholarly journals Lower attendance rates in immigrant versus non-immigrant women in the Norwegian Breast Cancer Screening Programme

2017 ◽  
Vol 25 (3) ◽  
pp. 155-161 ◽  
Author(s):  
Sameer Bhargava ◽  
Kaitlyn Tsuruda ◽  
Kåre Moen ◽  
Ida Bukholm ◽  
Solveig Hofvind
Keyword(s):  
Breast Cancer ◽  
Cancer Screening ◽  
Breast Cancer Screening ◽  
Screening Programme ◽  
Immigrant Women ◽  
Population Based ◽  
Mammographic Screening ◽  
Attendance Rates ◽  
Breast Cancer Screening Programme ◽  
Cancer Screening Programme

Objective The Norwegian Breast Cancer Screening Programme invites women aged 50–69 to biennial mammographic screening. Although 84% of invited women have attended at least once, attendance rates vary across the country. We investigated attendance rates among various immigrant groups compared with non-immigrants in the programme. Methods There were 4,053,691 invitations sent to 885,979 women between 1996 and 2015. Using individual level population-based data from the Cancer Registry and Statistics Norway, we examined percent attendance and calculated incidence rate ratios, comparing immigrants with non-immigrants, using Poisson regression, following women's first invitation to the programme and for ever having attended. Results Immigrant women had lower attendance rates than the rest of the population, both following the first invitation (53.1% versus 76.1%) and for ever having attended (66.9% versus 86.4%). Differences in attendance rates between non-immigrant and immigrant women were less pronounced, but still present, when adjusted for sociodemographic factors. We also identified differences in attendance between immigrant groups. Attendance increased with duration of residency in Norway. A subgroup analysis of migrants' daughters showed that 70.0% attended following the first invitation, while 82.3% had ever attended. Conclusions Immigrant women had lower breast cancer screening attendance rates. The rationale for immigrant women's non-attendance needs to be explored through further studies targeting women from various birth countries and regions.

scholarly journals Tumour Size at Detection According to Different Measures of Mammographic Breast Density

2009 ◽  
Vol 16 (3) ◽  
pp. 140-146 ◽  
Author(s):  
Carolyn Nickson ◽  
Anne M Kavanagh
Keyword(s):  
Breast Cancer ◽  
Breast Density ◽  
Tumour Size ◽  
Mammographic Screening ◽  
Cancer Prognosis ◽  
Mammographic Breast Density ◽  
Interval Cancers ◽  
Dense Area ◽  
Screening Strategies ◽  
Continuous Measures

Objectives Breast cancer prognosis is better for smaller tumours. Women with high breast density are at higher risk of breast cancer and have larger screen-detected and interval cancers in mammographic screening programmes. We assess which continuous measures of breast density are the strongest predictors of breast tumour size at detection and therefore the best measures to identify women who might benefit from more intensive mammographic screening or alternative screening strategies. Setting and methods We compared the association between breast density and tumour size for 1007 screen-detected and 341 interval cancers diagnosed in an Australian mammographic screening programme between 1994 and 1996, for three semi-automated continuous measures of breast density: per cent density, dense area and dense area adjusted for non-dense area. Results After adjustment for age, hormone therapy use, family history of breast cancer and mode of detection (screen-detected or interval cancers), all measures of breast density shared a similar positive and significant association with tumour size. For example, tumours increased in size with dense area from an estimated mean 2.2 mm larger in the second quintile (β = 2.2; 95% Cl 0.4–3.9, P < 0.001) to mean 6.6 mm larger in the highest decile of dense area (β = 6.6; 95% Cl 4.4–8.9, P < 0.001), when compared with first quintile of breast density. Conclusions Of the breast density measures assessed, either dense area or per cent density are suitable measures for identifying women who might benefit from more intensive mammographic screening or alternative screening strategies.

scholarly journals What do women know about breast density? A public screening program perspective

2020 ◽  
Author(s):  
Monique Robertson ◽  
Ellie C Darcey ◽  
Evenda K Dench ◽  
Louise Keogh ◽  
Kirsty McLean ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Density ◽  
Screening Program ◽  
Mammographic Screening ◽  
Descriptive Data ◽  
Additional Information ◽  
Dense Breasts ◽  
Increased Risk ◽  
Main Message ◽  
First Time

AbstractBackgroundThis study assesses knowledge of breast density, one of breast cancer’s strongest risk factors, in women attending a public mammographic screening program in Western Australia that routinely notifies women if they have dense breasts.MethodsSurvey data was collected from women who were notified they have dense breasts and women who had not (controls). Descriptive data analysis was used to summarize responses.ResultsOf the 6183 women surveyed, over 85% of notified women knew that breast density makes it difficult to see cancer on a mammogram (53.9% in controls). A quarter of notified women knew that having dense breasts puts women at increased risk for breast cancer (13.2% in controls). Overall, 50.1% of notified women indicated that they thought the amount of information provided was “just right” and 24.9% thought it was “too little”, particularly women notified for the first time (32.1%).ConclusionThe main message of reduced sensitivity of mammography in women with dense breasts provided by the screening program appears to be getting though. However, women are largely unaware that increased breast density is associated with increased risk. Women notified of having dense breasts for the first time could potentially benefit from additional information.

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