Role of breast density measurement in screening for breast cancer

McLean, KA; Stone, Jennifer

doi:10.1080/13697137.2018.1424816

Cited by 16 publications

(8 citation statements)

References 95 publications

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“…In particular, concerns regarding overdiagnosis and subsequent overtreatment, and the harms associated with false positive recalls for assessment lead some to call for an overhaul of the system or abandoning population mammographic screening programs (4)(5)(6)(7)(8)(9). In addition, the reduced sensitivity of mammography in those with high-mammographic density has led to question the role of supplementary screening in this group (10,11).…”

Section: Introductionmentioning

confidence: 99%

“A Natural Progression”: Australian Women's Attitudes About an Individualized Breast Screening Model

Lippey

Keogh

Mann

et al. 2019

Cancer Prevention Research

100

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Individualized screening is our logical next step to improve population breast cancer screening in Australia. To explore breast screening participants' views of the current program in Victoria, Australia, examine their openness to change, and attitudes toward an individualized screening model, this qualitative work was performed from a population-based breast screening cohort. This work was designed to inform the development of a decision aid to facilitate women's decisions about participating in individualized screening, and to elicit Australian consumer perspectives on the international movement toward individualized breast screening. A total of 52 women participated in one of four focus groups, and were experienced with screening with 90% of participants having had more than three mammograms. Focus group discussion was facilitated following three main themes: (i) experience of breast screening; (ii) breast cancer risk perception, and (iii) views on individualized screening. Participants had strong, positive, emotional ties to breast screening in its current structure but were supportive, with some reservations, of the idea of individualized screening. There was good understanding about the factors contributing to personalized risk and a wide range of opinions about the inclusion of genetic testing with genetic testing being considered a foreign and evolving domain. Individualized breast screening that takes account of risk factors such as mammographic density, lifestyle, and genetic factors would be acceptable to a population of women who are invested in the current system. The communication and implementation of a new program would be critical to its acceptance and potential success. Reservations may be had in regards to uptake of genetic testing, motivations behind the change, and management of the women allocated to a lower risk category.

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Section: Introductionmentioning

confidence: 99%

“A Natural Progression”: Australian Women's Attitudes About an Individualized Breast Screening Model

Lippey

Keogh

Mann

et al. 2019

Cancer Prevention Research

100

View full text Add to dashboard Cite

show abstract

“…Physiological changes in the breast and restriction in the examination of pregnant patients delay the diagnosis, and staging should be determined as soon as the disease is diagnosed in pregnant women and treatment should be chosen by considering the stage of the disease and minimizing the risks to the fetus (18,28). (36)(37)(38).…”

Section: Epidemiologymentioning

confidence: 99%

Breast Cancer and Ways to Diagnose the Risk Factors and Treat it During Pregnancy: A Narrative Review

Ghamari¹,

Ghaderi²,

Moghaddam³

et al. 2020

International Journal of Women’s Health and Reproduction Scienc

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IntroductionBreast cancer is a type of cancer that starts in the breast tissue and can spread to other nearby tissues in addition to affecting the entire breast tissue (1). It is the most common cancer worldwide, causing extensive mortality and many complications (2-4). The incidence of breast cancer is globally increasing, especially in developing countries. Notably, about 6 million women with breast cancer were globally identified during 2008-2013 (5). More than 255 000 new cases of breast cancer occurred in the United States in 2017. Meanwhile, the annual incidence of breast cancer is 33 cases per 100 000 people in Iran, and the highest rate has occurred in Tehran, Isfahan, Yazd, Markazi, and Fars provinces (6).One of the concerns associated with breast cancer is its experience during pregnancy (7). Pregnancy-associated breast cancer refers to cancer that occurs during pregnancy, breastfeeding, or one year after delivery. It is the second most common cancer in pregnancy, which rarely occurs and does not cause many deaths (8,9). Diagnostic and therapeutic interventions during this period are implemented with special considerations. Women with breast cancer are clearly at a more advanced stage of the disease during pregnancy and usually have a poorer prognosis (10,11). One of the major challenges in diagnosis and treatment during this period is maintaining a balance in the aggressive care of these patients and appropriate treatments to maintain the health of the fetus/ baby. Given that the occurrence of this cancer during pregnancy can have adverse effects on the health of the mother, the baby, and the fetus, the current study aimed to investigate the factors affecting the incidence of this type of cancer during pregnancy. Materials and MethodsThis review study aimed at evaluating the relationship between pregnancy-related variables and the risk of breast cancer. This article review focused on all studies performed in this field until 2019. The related studies were selected from Persian and English databases. Iranian databases included SID, Irandoc, and Magiran, and English databases included PubMed, Scopus, Science Direct, Cochrane, Google Scholar, and Embase. Keywords were based on Mesh, including breast cancer and pregnancy. The inclusion criterion was accessing the full text of the articles, and the exclusion criterion was conference papers and articles, full-text versions of which were unavailable. ResultsIn general, 161 articles were found in the first stage although they were excluded from the review process at different stages and for scientific reasons. Finally, 83

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“…Breast density measurements help identify and target women who could benefit from tailored screening options such as increased (or decreased) screening interval or supplemental screening via alternative modalities [4]. Breast density categories currently in use are six-class-categories (SCC) [2], Wolfe's four categories [5], and the Breast Imaging-Reporting and Data System (BI-RADS) [6].…”

Section: Introductionmentioning

confidence: 99%

Novel Texture Feature Descriptors Based on Multi-Fractal Analysis and LBP for Classifying Breast Density in Mammograms

Mukundan

Boyd³

2021

J. Imaging

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This paper investigates the usefulness of multi-fractal analysis and local binary patterns (LBP) as texture descriptors for classifying mammogram images into different breast density categories. Multi-fractal analysis is also used in the pre-processing step to segment the region of interest (ROI). We use four multi-fractal measures and the LBP method to extract texture features, and to compare their classification performance in experiments. In addition, a feature descriptor combining multi-fractal features and multi-resolution LBP (MLBP) features is proposed and evaluated in this study to improve classification accuracy. An autoencoder network and principal component analysis (PCA) are used for reducing feature redundancy in the classification model. A full field digital mammogram (FFDM) dataset, INBreast, which contains 409 mammogram images, is used in our experiment. BI-RADS density labels given by radiologists are used as the ground truth to evaluate the classification results using the proposed methods. Experimental results show that the proposed feature descriptor based on multi-fractal features and LBP result in higher classification accuracy than using individual texture feature sets.

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Role of breast density measurement in screening for breast cancer

Cited by 16 publications

References 95 publications

“A Natural Progression”: Australian Women's Attitudes About an Individualized Breast Screening Model

“A Natural Progression”: Australian Women's Attitudes About an Individualized Breast Screening Model

Breast Cancer and Ways to Diagnose the Risk Factors and Treat it During Pregnancy: A Narrative Review

Novel Texture Feature Descriptors Based on Multi-Fractal Analysis and LBP for Classifying Breast Density in Mammograms

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