Mammographic Density Correlation with Gail Model Breast Cancer Risk Estimates and Component Risk Factors

Palomares, Melanie R.; Machia, Joelle; Lehman, Constance D.; Daling, Janet R.; McTiernan, Anne

doi:10.1158/1055-9965.epi-05-0689

Cited by 38 publications

(19 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The consideration of phenotype of breast density may aid health policy makers to stratify the risk of breast cancer for the enhancement of efficiency in the prevention of breast cancer (30,(35)(36)(37)(38)(39)(40). More importantly, our threestate modeling approach provides a new insight in recommending a screening policy with interscreening intervals and more sensitive screening methods by estimating the proportions of two components of interval cancer false-negative cases and newly incident cases, which cannot be directly observed and have not yet been addressed in previous studies.…”

Section: Discussionmentioning

confidence: 99%

Effect of Baseline Breast Density on Breast Cancer Incidence, Stage, Mortality, and Screening Parameters: 25-Year Follow-up of a Swedish Mammographic Screening

Chiu

Duffy

Yen

et al. 2010

Cancer Epidemiology, Biomarkers &Amp; Prevention

162

127

View full text Add to dashboard Cite

Background: We aimed to quantitatively assess the effect of baseline breast density on the incidence, stage, and mortality, and also the natural course of the disease, considering the sensitivity of mammography to clarify its causal or masking effect.Methods: In total, 15,658 women ages 45 to 59 years from the Kopparberg randomized controlled trial in Sweden were prospectively followed from 1977 until 2004 to ascertain breast cancer incidence and death. Dense breast tissue collected at the beginning of the study was defined as pattern IV or V by the Tabár classification. Conventional risk factors were also collected at baseline. The three-state Markov model was used to estimate the preclinical incidence rate and the mean sojourn time given the fixed sensitivity.Results: Dense breast tissue was significantly associated with breast cancer incidence [relative risk (RR) = 1.57 (1.18-1.67)] and with breast cancer mortality [RR = 1.91 (1.26-2.91)] after adjusting for other risk factors. Cumulative incidence rates irrespective of nonadvanced and advanced breast cancer were higher in dense breast tissue compared with nondense tissue but no difference in survival was detected between dense and nondense breast tissue. Dense breast tissue had a higher preclinical incidence rate (causal effect) and shorter mean sojourn time (masking effect) compared with nondense breast tissue by controlling the sensitivity of mammography.Conclusion: We corroborated the effect of baseline breast density with a higher incidence and mortality and also showed its contribution to a masking effect with long-term follow-up data.Impact: Results suggest that the screening policy with a predominantly shorter screening interval and with alternative imaging techniques might be indicated in women with dense breast tissue. Cancer Epidemiol

show abstract

Section: Discussionmentioning

confidence: 99%

Effect of Baseline Breast Density on Breast Cancer Incidence, Stage, Mortality, and Screening Parameters: 25-Year Follow-up of a Swedish Mammographic Screening

Chiu

Duffy

Yen

et al. 2010

Cancer Epidemiology, Biomarkers &Amp; Prevention

162

127

View full text Add to dashboard Cite

show abstract

“…15,18,19 Semi-automated methods use segmentation and thresholding techniques to quantify the percentage of dense tissue on a mammogram and include planimetry and interactive thresholding methods such as Cumulus and Madena. 20,21 Automated methods use mathematical, statistical and physical modelling to calculate breast density; such automated methods include computerized texture-based techniques, calibration approaches and dual X-ray absorptiometry. [22][23][24] Others are automated thresholding approaches, such as Autodensity and MedDensity, 25,26 and three physical model-based techniques: standard mammographic form (SMF), Volpara and Quantra.…”

mentioning

confidence: 99%

Measurement of breast density with digital breast tomosynthesis—a systematic review

Ekpo¹,

McEntee²

2014

BJR

View full text Add to dashboard Cite

Digital breast tomosynthesis (DBT) has gained acceptance as an adjunct to digital mammography in screening. Now that breast density reporting is mandated in several states in the USA, it is increasingly important that the methods of breast density measurement be robust, reliable and consistent. Breast density assessment with DBT needs some consideration since quantitative methods are modelled for two-dimensional (2D) mammography. A review of methods used for breast density assessment with DBT was performed. Existing evidence shows Cumulus has better reproducibility than that of the breast imaging reporting and data system (BI-RADS®) but still suffers from subjective variability; MedDensity is limited by image noise, whilst Volpara and Quantra are robust and consistent. The reported BI-RADs inter-reader breast density agreement (k) ranged from 0.65 to 0.91, with inter-reader correlation (r) ranging from 0.70 to 0.93. The correlation (r) between BI-RADS and Cumulus ranged from 0.54-0.94, whilst that of BI-RADs and MedDensity ranged from 0.48-0.78. The reported agreement (k) between BI-RADs and Volpara is 0.953. Breast density correlation between DBT and 2D mammography ranged from 0.73 to 0.97, with agreement (k) ranging from 0.56 to 0.96. To avoid variability and provide more reliable breast density information for clinicians, automated volumetric methods are preferred.Breast cancer accounts for approximately 23% of all cancers in females and is the most frequent cause of cancer deaths in females worldwide.

show abstract

“…99 The first of these separates the image of the breast from the background, and aggregation of the pixels over the intensity range gives the Cumulus has demonstrated good association between breast density and cancer risk in multiple global studies. 3,101,102 AutoDensity has been shown to be comparable to Cumulus for risk assessment 24 .…”

Section: Categorisation Of Breast Composition Using "Quantitative Arementioning

confidence: 99%

Breast composition: Measurement and clinical use

Ekpo¹,

Hogg²,

Highnam³

et al. 2015

Radiography

View full text Add to dashboard Cite

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.

show abstract

Mammographic Density Correlation with Gail Model Breast Cancer Risk Estimates and Component Risk Factors

Cited by 38 publications

References 37 publications

Effect of Baseline Breast Density on Breast Cancer Incidence, Stage, Mortality, and Screening Parameters: 25-Year Follow-up of a Swedish Mammographic Screening

Effect of Baseline Breast Density on Breast Cancer Incidence, Stage, Mortality, and Screening Parameters: 25-Year Follow-up of a Swedish Mammographic Screening

Measurement of breast density with digital breast tomosynthesis—a systematic review

Breast composition: Measurement and clinical use

Contact Info

Product

Resources

About