dense breasts
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2021 ◽  
Vol 67 (6) ◽  
pp. 777-784
Author(s):  
Rustem Khasanov ◽  
Munir Tukhbatullin ◽  
Dmitrii Pasynkov

Purpose. To assess the influence of mammography mapping with the help of computer-aided detection system (CAD) MammCheck II of our own design on the relapse-free survival (RFS) in breast cancer (BC) patients detected during the combined (mammographic and ultrasound [US]) screening. Materials and methods. 10732 women aged 40-87 years old (mean age: 52.20±8.63) who performed mammography were randomized to the standard screening group (mammography → US of the dense breasts) or to the group of CAD-assisted screening (mammography → CAD → targeted US of suspicious CAD markings, as well as the standard US of the dense breasts; CAD group). The primary endpoint was the 3-years RFS. Results. Totally, in the standard screening group we identified 230 BCs (4.29%), in the CAD group — 248 BCs (4.62%; p>0.05), including 49 (21.20%) и 88 (35.48%) 0-I stage BCs, respectively (p<0.05). Median of the primary tumor size was significantly lower in the CAD group (18 mm) compared to the standard screening group (25 mm; р<0.05). 3-years RFS was significantly higher (87.90%) in the CAD group compared to the standard screening group (81.20%; р<0.05). Conclusion. Breast US after the previous mammography CAD mapping significantly increases the 3-years RFS of women with combined screening-detected BC.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Uzma Shamsi ◽  
Shaista Afzal ◽  
Azra Shamsi ◽  
Iqbal Azam ◽  
David Callen

Abstract Background There are no studies done to evaluate the distribution of mammographic breast density and factors associated with it among Pakistani women. Methods Participants included 477 women, who had received either diagnostic or screening mammography at two hospitals in Karachi Pakistan. Mammographic breast density was assessed using the Breast Imaging Reporting and Data System. In person interviews were conducted using a detailed questionnaire, to assess risk factors of interest, and venous blood was collected to measure serum vitamin D level at the end of the interview. To determine the association of potential factors with mammographic breast density, multivariable polytomous logistic regression was used. Results High-density mammographic breast density (heterogeneously and dense categories) was high and found in 62.4% of women. There was a significant association of both heterogeneously dense and dense breasts with women of a younger age group < 45 years (OR 2.68, 95% CI 1.60–4.49) and (OR 4.83, 95% CI 2.54–9.16) respectively. Women with heterogeneously dense and dense breasts versus fatty and fibroglandular breasts had a higher history of benign breast disease (OR 1.90, 95% CI 1.14–3.17) and (OR 3.61, 95% CI 1.90–6.86) respectively. There was an inverse relationship between breast density and body mass index. Women with dense breasts and heterogeneously dense breasts had lower body mass index (OR 0.94 95% CI 0.90–0.99) and (OR 0.81, 95% CI 0.76–0.87) respectively. There was no association of mammographic breast density with serum vitamin D levels, diet, and breast cancer. Conclusions The findings of a positive association of higher mammographic density with younger age and benign breast disease and a negative association between body mass index and breast density are important findings that need to be considered in developing screening guidelines for the Pakistani population.


2021 ◽  
Author(s):  
Bhoowit Lerttiendamrong ◽  
Lertpong Satapongpeera ◽  
Mawin Vongsaisuwon

Objective: Breast cancer is currently the most common malignant disease in Thailand. The present study aims to evaluate the most beneficial method of breast cancer screening in different breast densities by analyzing the benefits of screening mammography with additional breast ultrasonography classified by breast density. Method: 49 middle-aged and elderly Bangkokian women who had undergone both mammography and ultrasonography were picked at random for analysis. BI-RADS scores were assigned based on mammography results alone and based on combined mammography and ultrasonography results. Concordance/discordance rates between the 2 radiographic techniques were compared in women stratified based on their breast densities. Results: All of our participants were given a score between BIRADS 1 and 3, while over 40% of participants are in the BIRADS 2 category. 60% of subjects with extremely dense breasts benefit from screening mammography with additional breast ultrasonography, while only 50% of samples with heterogeneous density and 34.21% samples with heterogeneous fibroglandular breasts benefit from the extra intervention. Conclusion: Our study concludes that women with higher breast density are more likely to benefit from screening using ultrasonography in addition to mammography as opposed to mammography screening alone. We recommend both mammography and ultrasonography for initial breast cancer screening. For follow-up visits, we suggest the screening method in accordance with breast density, using ultrasonography alone for women with high breast densities and mammography for women with heterogeneously dense breasts.


2021 ◽  
Vol 10 (23) ◽  
pp. 5528
Author(s):  
Peter J. Littrup ◽  
Nebojsa Duric ◽  
Mark Sak ◽  
Cuiping Li ◽  
Olivier Roy ◽  
...  

We evaluated whole breast stiffness imaging by SoftVue ultrasound tomography (UST), extracted from the bulk modulus, to volumetrically map differences in breast tissues and masses. A total 206 women with either palpable or mammographically/sonographically visible masses underwent UST scanning prior to biopsy as part of a prospective, HIPAA-compliant multicenter cohort study. The volumetric data sets comprised 298 masses (78 cancers, 105 fibroadenomas, 91 cysts and 24 other benign) in 239 breasts. All breast tissues were segmented into six categories, using sound speed to separate fat from fibroglandular tissues, and then subgrouped by stiffness into soft, intermediate and hard components. Ninety percent of women had mammographically dense breasts but only 11.2% of their total breast volume showed hard components while 69% of fibroglandular tissues were softer. All smaller masses (<1.5 cm) showed a greater percentage of hard components than their corresponding larger masses (p < 0.001). Cancers had significantly greater mean stiffness indices and lower mean homogeneity of stiffness than benign masses (p < 0.05). SoftVue stiffness imaging demonstrated small stiff masses, mainly due to cancers, amongst predominantly soft breast tissues. Quantitative stiffness mapping of the whole breast and underlying masses may have implications for screening of women with dense breasts, cancer risk evaluations, chemoprevention and treatment monitoring.


2021 ◽  
Vol In Press (In Press) ◽  
Author(s):  
Zeynep Fatma Arslan ◽  
Aysegul Altunkeser ◽  
Nergis Aksoy ◽  
Muslu Kazım Korez ◽  
Ethem Omeroglu

Background: Digital mammography (DM) is one of the most common and effective radiological methods for breast cancer screening and detection. A dense fibroglandular breast tissue can lead to false negative results by superimposing on the lesion margins. Therefore, adjunctive imaging methods, such as digital breast tomosynthesis (DBT) and ultrasonography (US), are needed to increase mammographic sensitivity. Objectives: This study aimed to examine the contribution of US and DBT to DM in different patient groups (patients group of BI-RADS 0 and 3-4 lesions, patients with dense breast parenchyma, patients with non-dense breast parenchyma).. Whether US and DBT can upgrade or downgrade the BI-RADS category of uncertain lesions detected on DM was also investigated. Patients and Methods: Forty-six patients, who were classified as BI-RADS categories 0, 3, and 4 in DM, according to DBT and US findings, were included in the study. DM followed by DBT was performed for the patients, and the BI-RADS classification system was applied. Subsequently, the patients were evaluated sonographically, and the BI-RADS system was applied according to the US results. Each BI-RADS category was compared with the histopathological and multimodality follow-up results. The diagnostic performance of all modalities was also examined alone and in combination. Results: The sensitivity and specificity of DM alone was 42% and 87%, respectively. DBT detected the lesions with 92% sensitivity and 68% specificity. The modality with the highest sensitivity for the detection of malignant lesions was US (100%). Besides, the specificity of DBT was significantly high for dense breasts (P < 0.001). There was no significant difference in terms of the diagnostic accuracy of US measurements between dense and non-dense breasts. For indeterminate lesions, the integration of DBT and US to DM increased the diagnostic accuracy. Conclusion: The contribution of DBT is more valuable than US in patients with dense breast parenchyma.


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