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 ◽  
...  

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.

2019 ◽  
Vol 21 (1) ◽  
Author(s):  
My von Euler-Chelpin ◽  
Martin Lillholm ◽  
Ilse Vejborg ◽  
Mads Nielsen ◽  
Elsebeth Lynge

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.


Diagnostics ◽  
2020 ◽  
Vol 10 (6) ◽  
pp. 418
Author(s):  
Nick Perry ◽  
Sue Moss ◽  
Steve Dixon ◽  
Sue Milner ◽  
Kefah Mokbel ◽  
...  

Mammographic breast density (MBD) is an important imaging biomarker of breast cancer risk, but it has been suggested that increased MBD is not a genuine finding once corrected for age and body mass index (BMI). This study examined the association of various factors, including both residing in and working in the urban setting, with MBD. Questionnaires were completed by 1144 women attending for mammography at the London Breast Institute in 2012–2013. Breast density was assessed with an automated volumetric breast density measurement system (Volpara) and compared with subjective radiologist assessment. Multivariable linear regression was used to model the relationship between MBD and residence in the urban setting as well as working in the urban setting, adjusting for both age and BMI and other menstrual, reproductive, and lifestyle factors. Urban residence was significantly associated with an increasing percent of MBD, but this association became non-significant when adjusted for age and BMI. This was not the case for women who were both residents in the urban setting and still working. Our results suggest that the association between urban women and increased MBD can be partially explained by their lower BMI, but for women still working, there appear to be other contributing factors.


2017 ◽  
Vol 59 (2) ◽  
pp. 154-160 ◽  
Author(s):  
Nataliia Moshina ◽  
Marta Roman ◽  
Sofie Sebuødegård ◽  
Gunvor G Waade ◽  
Giske Ursin ◽  
...  

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.


2014 ◽  
Vol 65 (4) ◽  
pp. 315-320 ◽  
Author(s):  
Jennifer I. Payne ◽  
Tetyana Martin ◽  
Judy S. Caines ◽  
Ryan Duggan

Purpose The Canadian Task Force on Preventive Health Care released recommendations for breast cancer screening, in part, based on harms associated with screening. The purpose of this study was to describe the rate of false-positive (FP) screening mammograms and to describe the extent of the investigations after an FP. Methods A cohort was identified that consisted of all screening mammograms performed through the Screening Program (2000-2011) with patients ages 40-69 years at screening. Rates of FP screening mammograms were calculated as well as rates of further investigations required, including additional imaging, needle core biopsy, and surgery. Analyses were stratified by 10-year age group, screening status (first vs rescreen), and technology. Results A total of 608,088 screening mammograms were included. The FP rate varied by age group, and decreased with increasing age (digital, 40-49 years old, FP = 8.0%; 50-59 years old, FP = 6.3%; 60-69 years old, FP = 4.6%). The FP rate also varied by screening status (digital, first screen, FP = 12.0%; rescreen, FP = 5.6%), and this difference was consistent across age groups. The need for further investigation varied by age group, with invasive procedures being more heavily used as women age (digital, rescreen group, surgery: 40-49 years old, 1.1%; 50-59 years old 1.6%, 60-69 years old, 1.8%). Conclusions Both the FP screening mammogram rate and the degree to which further investigation was required varied by age group and screening status. Reporting on these rates should form part of the evaluation of screening performance.


2011 ◽  
Vol 164 (3) ◽  
pp. 335-340 ◽  
Author(s):  
Alberto Tagliafico ◽  
Massimo Calabrese ◽  
Giulio Tagliafico ◽  
Eugenia Resmini ◽  
Carlo Martinoli ◽  
...  

ContextMammographic density is a strong independent risk factor for breast cancer, whose prevalence in acromegaly is still controversial.ObjectiveTo compare breast density in premenopausal acromegalic patients and controls and to determine whether density correlated with disease duration, GH, and IGF1 levels.Design, setting and participantsA prospective study involving 30 patients and 60 controls matched for age and body mass index.InterventionsA quantitative computer-aided mammographic density estimation (MDEST) and a qualitative blind evaluation by two experienced radiologists using the breast imaging reporting and data system (BI-RADS) was performed. Totally, 60 (acromegaly) and 120 (controls) craniocaudal and mediolateral oblique mammograms were evaluated in both patients and controls.Main outcome measuresBreast density.ResultsPatients showed a significantly (P<0.01) increased mammographic breast density with both methods (MDEST: 0.33±0.21% and BI-RADS category: 2.81±0.78) in comparison with controls (MDEST: 0.26±0.19% and BI-RADS category: 2.35±0.61). The agreement between the two methods and inter-observer agreement between the two radiologists were excellent (k=0.63 and k=0.85). In patients grouped according to disease activity (17 controlled and 13 uncontrolled) and medical therapy (15 treated and 15 untreated), no differences were found. All these groups had significantly increased mammographic breast density compared with controls (P<0.01).A positive correlation was found between mammographic breast density, IGF1 values and disease duration (r=0.29 and r=0.39), whereas it was not found with GH (r=−0.02).ConclusionsMammographic breast density in premenopausal acromegalic patients is significantly higher than controls and positively correlated with IGF1 and disease duration.


2013 ◽  
Vol 31 (15_suppl) ◽  
pp. e12551-e12551 ◽  
Author(s):  
Abdullah Alkhenizan ◽  
Aneela Hussain ◽  
Adher Alsayed

e12551 Background: Breast cancer is the leading cancer diagnosed in women in Saudi Arabia, accounting for 25% of all cancers diagnosed in women. The mammogram screening program at King Faisal Specialist Hospital and Research Center (KFSHRC) is the only structured screening program in the country. KFSHRC provides primary care services for a catchment population of 30,000 patients. This program covers all women above the age of 40 within this catchment population. Methods: A retrospective review of electronic and paper records were reviewed for mammograms done between January 2002- January 2012. Summary statistics were used to describe patient and examination characteristics. Results from mammograms were reported using the Breast Imaging Reporting and Data System (BI-RADS) of the American College of Radiology. The stage of diagnosis was reported using the American Joint Committee on Cancer (AJCC) system using stages one through four. ACR BIRADS classification and cancer status definitions mammograms were linked with cancer outcomes to identify true-positive, true-negative, false-positive, and false-negative examinations. On the basis of these classifications, sensitivity, specificity, positive predictive value, and negative predictive value were estimated. All mammograms and tissue biopsies were read by board certified specialists. Results: During the first round of screening 1694 mammograms were analyzed, and 12 cases of cancer were diagnosed. Cancer detection rate (per 1000 examination) was 7.1. Biopsy rate was 3.7 per 100 mammograms. Follow up ultrasounds rate was 2.7 per 100 mammograms. Sensitivity of mammogram screening was 80%, and specificity was 76%. Conclusions: The yield of a structured mammogram screening program in Saudi Arabia is high. There is a need to implement a national program for breast cancer screening in Arabian world in general and within Saudi Arabia in particular.


2016 ◽  
Vol 22 (5) ◽  
pp. 541-546 ◽  
Author(s):  
Madelene C. Lewis ◽  
Abid Irshad ◽  
Susan Ackerman ◽  
Abbie Cluver ◽  
Dag Pavic ◽  
...  

2020 ◽  
Vol 14 ◽  
pp. 117822342092138
Author(s):  
Dana S Al-Mousa ◽  
Maram Alakhras ◽  
Kelly M Spuur ◽  
Haytham Alewaidat ◽  
Mohammad Rawashdeh ◽  
...  

Purpose: To document the mammographic breast density (MBD) distribution of Jordanian women and the relationship with MBD with age. Correlation between breast cancer diagnosis and density was also explored. Methods: A retrospective review of 660 screening mammograms from King Abdullah University Hospital was conducted. Mammograms were classified into 2 groups: normal (return to routine screening) and breast cancer and rated using the American College of Radiology (ACR) Breast Imaging-Reporting and Data System (BI-RADS) 5th edition for MBD. The association between MBD and age was assessed by descriptive analyses and Kruskal-Wallis test. To compare between normal and breast cancer groups, chi-square post hoc tests with Bonferroni adjustment was used. Results: Groups consisted of 73.9% (n = 488) normal group and 26.1% (n = 172) breast cancer group. A significant inverse relationship was demonstrated between age and MBD among the normal ( r = −.319, P < .01) and breast cancer group ( r = −.569, P < .01). In total, 69% (n = 336) of women in the normal group and 71% (n = 122) in the breast cancer group and 79.1% (n = 159) of the normal group and 100% (n = 48) of the breast cancer group aged 40 to 49 years reported high MBD (ACR BI-RADS c or d). Conclusions: Most of women in both the normal and breast cancer groups evidenced increased MBD. Increased MBD was inversely proportional to age. As MBD has a known link to increased breast cancer risk and the decreased sensitivity of mammography and it is vital that future screening guidelines for Jordanian women consider the unique breast density distribution of this population.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Tehillah S. Menes ◽  
Dan Coster ◽  
Daniel Coster ◽  
Shani Shenhar-Tsarfaty

Abstract Purpose Despite the controversy surrounding the role of clinical breast exam (CBE) in modern breast cancer screening, it is widely practiced. We examined the contribution of CBE in women undergoing routine screening mammography and in women under the screening age. Methods A retrospective cohort study including all women participating in a voluntary health screening program between 2007 and 2016. All participants undergo CBE; Screening mammography is done selectively based on age, breast imaging history and insurance coverage. Data collected included demographics, risk factors, previous imaging, and findings on CBE and mammography. Cancer detection rates within 3 months of the visit were calculated separately for women undergoing routine screening mammography, and women under the screening age. Results There were 14,857 CBE completed in 8378; women; 7% were abnormal. Within 3 months of the visit, 35 breast cancers (2.4 per 1000 visits) were diagnosed. In women within the screening age who completed a mammogram less than one year prior to the visit (N = 1898), 4 cancers (2.1 cancers per 1000 visits) were diagnosed. Only one was diagnosed in a woman with an abnormal CBE, suggesting that the cancer detection rate of CBE in women undergoing regular screening is very low (0.5 per 1000 visits). In women under the screening age (45), 3 cancers (0.4 per 1000 visits) were diagnosed; all were visualized on mammography, one had an abnormal CBE. Conclusions The contribution of CBE to cancer detection in women undergoing routine screening and in women under the screening age is rare.


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