Distribution of mammographic density and its influential factors among Chinese women

Dai, Hong; Yan, Ye; Wang, Peishan; Liu, Peifang; Cao, Yimei; Xiong, Li; Luo, Yahong; Pan, Tie; Ma, Xuelei; Wang, Jie; Yang, Zhenhua; Liu, Xueou; Chen, Chuan; Huang, Yubei; Li, Yang; Wang, Yaogang; Hao, Xishan; Ye, Zhaoxiang; Chen, Kexin

doi:10.1093/ije/dyu042

Cited by 66 publications

(85 citation statements)

References 40 publications

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“…Although previous studies have reported an association between the number of deliveries and mammographic density in an entire population (Duffy et al, 2004;Masala et al, 2006;Dai et al, 2014), our data did not show a statistical correlation between the number of deliveries and mammographic density in premenopausal women. This discrepancy might be because of the different effects of number of deliveries on mammographic density in premenopausal and postmenopausal women, which need future investigations.…”

Section: Discussioncontrasting

confidence: 99%

“…Some studies found that smoking had a negative effect on mammographic density (Jeffreys et al, 2004;Bremnes et al, 2007;Butler et al, 2010), whereas others showed that cigarette smoking did not influence breast density (Gapstur et al, 2003;Ishihara et al, 2013;Dai et al, 2014). We failed to identify a significant association between smoking habits and mammographic density in premenopausal women; however, certain observations warrant cautious consideration because of the extremely low percentage of women in our study population who smoked.…”

Section: Discussionmentioning

confidence: 57%

“…Indeed, this age-related lobular regression has been found in premenopausal women younger than 40 years of age (Hutson et al, 1985;Milanese et al, 2006). (ii) Larger BMI was reported to be correlated with reductions in the epithelial and stromal tissues in the breasts and with an increase in fat tissue (Woolcott et al, 2011;Dai et al, 2014). Therefore, we suggest that young Chinese women with a low BMI index should be screened with combined breast ultrasound and mammography (Boyd et al, 2009;Ishihara et al, 2013).…”

Section: Discussionmentioning

confidence: 63%

“…The association between mammographic density and influential factors has been extensively studied; however, these studies included limited numbers of premenopausal women (around 15 to 44.4% in the total study populations), and none of the studies evaluated the influence of breast size or sleep quality on mammographic density (Vachon et al, 2000;Wong et al, 2011;Checka et al, 2012;Woolcott et al, 2012;Dai et al, 2014). Furthermore, the mean age at diagnosis of breast cancer in China is about 10 years earlier than that in Europe and the USA; thus, a large proportion of Chinese breast cancer patients are premenopausal (Zheng et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

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Influence of factors on mammographic density in premenopausal Chinese women

Yang

Liu²,

Gu³

et al. 2016

European Journal of Cancer Prevention

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Mammographic density is an independent strong risk factor for breast cancer. However, the influence of factors on mammographic density in premenopausal women remains unclear. In the Southern Professional Women Breast Cancer Screening Project, we assessed the associations between mammographic density and its influential factors using multivariate logistic regression in premenopausal women adjusting for BMI, age, duration of breastfeeding, number of live births, and breast size. A total of 1699 premenopausal women aged 27 to 57 years, who had been screened by mammography, were enrolled in this cross-sectional study. Overall, 85.2% were categorized as having dense breasts (BI-RADS density 3 and 4) and 14.8% as having fatty breasts (BI-RADS density 1 and 2). In multivariate and logistic regression analysis, only BMI and age were significantly negatively correlated with mammographic density in premenopausal women (P<0.001). No significant associations between mammographic density and number of deliveries, breastfeeding duration, education level, family history of breast cancer, as well as breast size and sleep quality, were identified in the study. Age and BMI are negatively associated with mammographic density in premenopausal Chinese women. Information on the influential factors of mammographic density in premenopausal women might provide meaningful insights into breast cancer prevention.

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Section: Discussioncontrasting

confidence: 99%

Section: Discussionmentioning

confidence: 57%

Section: Discussionmentioning

confidence: 63%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Influence of factors on mammographic density in premenopausal Chinese women

Yang

Liu²,

Gu³

et al. 2016

European Journal of Cancer Prevention

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“…[56][57][58][59] There is also evidence that hormone replacement therapy, 11 alcohol intake, 16 and reproductive factors such as early menarche, nulliparity, late first term birth, 60 and reduced breastfeeding (<12 months) are associated with higher breast density. 61,62 Anthropometric factors such as high birth weight and lower prepubertal weight are associated with higher breast density. 63 The data produced shows that breast density information can be used in combination with other risk factors for stratification of breast cancer risk.…”

Section: Breast Composition and Radiographic Appearancesmentioning

confidence: 99%

Breast composition: Measurement and clinical use

Ekpo¹,

Hogg²,

Highnam³

et al. 2015

Radiography

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Breast density is a measure of the extent of radiodense fibroglandular tissue in the breast. The risk of developing breast cancer and the risk of missing cancer at screening rise with higher breast density. In this paper, the historical background to breast density measurement is outlined and current evidence based practice is explained. The relevance of breast density knowledge to mammographic practice and image interpretation is considered in the light of clinical assessment and notification of mammographic breast density (MBD). The current work also discusses risk stratification for decisionmaking regarding screening frequency and better modalities for earlier detection of breast cancer in the dense breast. Automated volumetric approaches are explained while ultrasound, digital breast tomosynthesis, molecular breast imaging, and magnetic resonance imaging are introduced as valuable adjuncts to digital mammography for imaging the dense breast. The work concludes on the important note that screened women should be notified of their breast density, and such notification should be accompanied with clear and adequate information about breast density and cancer risk, strategies associated with lower MBD, as well as best screening intervals and pathways for women with dense breasts. Adoption of these strategies may be crucial to early detection and treatment of cancer and improving survival from the disease.

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A Call for Improved Breast Cancer Screening Strategies, Not Only for Women With Dense Breasts

Kuhl

2021

JAMA Netw Open

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The study by Narumi-Harada et al 1 is a secondary analysis of the Japan Strategic Anti-cancer Randomized Trial (J-START) cohort. 2 J-START was the first randomized clinical trial powered to investigate the utility of supplemental ultrasonography for breast cancer screening, not only in terms of its diagnostic accuracy (ie, cancer detection rates and positive predictive values), but also to determine its oncologic efficacy. Oncologic efficacy of screening should ideally be evaluated by comparing mortality rates as an outcome. However, assessing mortality rates requires decades of follow-up, which means that the results of today's screening studies would be available only in the far future, at a time when today's technology will most likely be outdated anyway. Therefore, the

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Distribution of mammographic density and its influential factors among Chinese women

Abstract: This study suggests that several risk factors for breast cancer were associated with breast density in Chinese women. Information on the determinants of mammographic density may provide valuable insights into breast cancer aetiology.

Cited by 66 publications

References 40 publications

Influence of factors on mammographic density in premenopausal Chinese women

Influence of factors on mammographic density in premenopausal Chinese women

Breast composition: Measurement and clinical use

A Call for Improved Breast Cancer Screening Strategies, Not Only for Women With Dense Breasts

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