In this review, we examine the evidence for mammographic density as an independent risk factor for breast cancer, describe the risk prediction models that have incorporated density, and discuss the current and future implications of using mammographic density in clinical practice. Mammographic density is a consistent and strong risk factor for breast cancer in several populations and across age at mammogram. Recently, this risk factor has been added to existing breast cancer risk prediction models, increasing the discriminatory accuracy with its inclusion, albeit slightly. With validation, these models may replace the existing Gail model for clinical risk assessment. However, absolute risk estimates resulting from these improved models are still limited in their ability to characterize an individual's probability of developing cancer. Promising new measures of mammographic density, including volumetric density, which can be standardized using full-field digital mammography, will likely result in a stronger risk factor and improve accuracy of risk prediction models.

Background Many women at increased risk for breast cancer could benefit from preventive therapy. Preventive therapy options for breast cancer risk reduction have expanded in the last few years to...

Systemic treatments for women with breast cancer frequently induce urogenital symptoms that can negatively impact a women’s quality of life. Urogenital atrophy is frequently undiagnosed and untreated, particularly in breast cancer survivors. Symptoms of urogenital atrophy can usually be relieved with vaginal estrogen preparations, but risk of recurrence and safety is undefined in women with a history of breast cancer. Treatment with nonhormonal modalities including vaginal moisturizers or lubricants and lifestyle modification are the first lines of management. Low‐dose vaginal 17 β‐estradiol (vaginal estradiol tablets 10 μg or vaginal estradiol ring) can be considered for the treatment of symptomatic urogenital atrophy in women with a history of breast cancer after appropriate disclosure to the patient. While effective in treating the urogenital symptoms, the safety of such therapy remains uncertain. The decision to offer vaginal estrogen therapy needs to be individualized and should be made jointly with the oncologist.

Background: Breast cancer diagnosis and treatment affect quality of life and stress and are associated with fatigue. Meditation interventions are effective strategies for patients with breast cancer but are often limited by poor access, high cost, substantial time commitment, and poor adherence. In this feasibility study, we investigated the use of a portable, wearable, electroencephalographic device for guided meditation practices by breast cancer patients during the period from breast cancer diagnosis until 3 months after surgical treatment. Methods: We enrolled women (age = 20-75 years) who had received a recent diagnosis of breast cancer and planned to undergo surgical treatment. Participants were randomly assigned to perform guided meditation with the device (intervention group) or receive CD-based stress-reduction education (control group). Surveys were used to measure stress, quality of life, and fatigue at baseline, within 4 days before surgery, up to 14 days after surgery, and at 3 months after surgery. Results: In the intervention group, 15 of 17 participants (88.2%) completed the study; in the control group, 13 of 13 participants completed the study (100%). Participants in both groups had less fatigue and stress and improved quality of life at 2 weeks and 3 months after surgery compared with baseline, but there were no significant intergroup differences at any time point. Conclusion: The use of this wearable electroencephalographic device for meditation is a feasible strategy for patients with breast cancer.