Quality of life of 5–10 year breast cancer survivors diagnosed between age 40 and 49

BACKGROUND: The purpose of this report is to examine the correlates of quality of life (QOL) of a well-defined group of long-term breast cancer survivors diagnosed between the ages of 40 and 49. METHODS: Women were eligible if they were diagnosed with invasive breast cancer or ductal carcinoma in situ 5 to 10 years before June 30, 1998 and were enrolled at Group Health Cooperative, a health maintenance organization in western Washington State. A questionnaire was mailed to 290 women; 216 were included in this analysis. The questionnaire included standardized measures of QOL [e.g., the Cancer Rehabilitation Evaluation System (CARES-SF) and SF-36] as well as general demographic and medical information. ANOVA and logistic regression were used to estimate correlates of self-reported QOL. RESULTS: The mean age at diagnosis was 44.4 years, and the average time since diagnosis was 7.3 years. Women reported high levels of functioning across several standardized QOL scales; mild impairment was found on the CARES-SF Sexual Scale. The presence of breast-related symptoms at survey, use of adjuvant therapy, having lower income, and type of breast surgery were significantly associated with lower QOL 5 to 10 years post-diagnosis on one or more of the scales. CONCLUSIONS: Our results emphasize that younger long-term survivors of breast cancer have a high QOL across several standardized measures. However, the long-term consequences of adjuvant therapy and the management of long-term breast-related symptoms are two areas that may be important for clinicians and women with breast cancer in understanding and optimizing long-term QOL

A Qualitative Study Exploring Why Individuals Opt Out of Lung Cancer Screening

Background. Lung cancer screening with annual low-dose computed tomography is relatively new for long-term smokers in the USA supported by a US Preventive Services Task Force Grade B recommendation. As screening programs are more widely implemented nationally and providers engage patients about lung cancer screening, it is critical to understand behaviour among high-risk smokers who opt out to improve shared decision-making processes for lung cancer screening. Objective. The purpose of this study was to explore the reasons for screening-eligible patients’ decisions to opt out of screening after receiving a provider recommendation. Methods. Semi-structured qualitative telephone interviews were performed with 18 participants who met lung cancer screening criteria for age, smoking and pack-year history in Washington State from November 2015 to January 2016. Two researchers with cancer screening and qualitative methodology expertise conducted data analysis using thematic content analytic procedures from audio-recorded interviews. Results. Five primary themes emerged for reasons of opting out of lung cancer screening: (i) Knowledge Avoidance; (ii) Perceived Low Value; (iii) False-Positive Worry; (iv) Practical Barriers; and (v) Patient Misunderstanding. Conclusion. The participants in our study provided insight into why some patients make the decision to opt out of low-dose computed tomography screening, which provides knowledge that can inform intervention development to enhance shared decision-making processes between long-term smokers and their providers and decrease decisional conflict about screening

Tamoxifen Initiation After Ductal Carcinoma In Situ

Endocrine therapy initiation after ductal carcinoma in situ (DCIS) is highly variable and largely unexplained. National guidelines recommend considering tamoxifen for women with estrogen receptor-positive (ER+) DCIS or who undergo excision alone. We evaluated endocrine therapy use after DCIS over a 15-year period in an integrated health care setting to identify factors related to initiation

Pathways to breast cancer screening artificial intelligence algorithm validation

As more artificial intelligence (AI)-enhanced mammography screening tools enter the clinical market, greater focus will be placed on external validation in diverse patient populations. In this viewpoint, we outline lessons learned from prior efforts in this field, the need to validate algorithms on newer screening technologies and diverse patient populations, and conclude by discussing the need for a framework for continuous monitoring and recalibration of these AI tools. Sufficient validation and continuous monitoring of emerging AI tools for breast cancer screening will require greater stakeholder engagement and the creation of shared policies and guidelines

Are there racial/ethnic disparities among women younger than 40 undergoing mammography?

While the probability of a woman developing invasive breast cancer at age <40 is low (<1%), mammography use reported among younger women (age <40) is substantial, and varies by race/ethnicity. Little detail is known about mammography use among women aged <40, particularly by race/ethnicity. We describe racial/ethnic differences in: (1) mammography indication after considering underlying risk factors (breast symptoms and family history); (2) follow-up recommendations, and (3) mammography outcomes for first mammograms in women aged <40. These 1996–2005 Breast Cancer Surveillance Consortium data are prospectively pooled from seven U.S. mammography registries. Our community-based sample included 99,615 women aged 18–39 who self-reported race/ethnicity and presented for a first mammogram (screening or diagnostic) with no history of breast cancer. Multivariable analyses controlled for registry site, age, family history of breast cancer, symptoms, and exam year. Overall, 73.6% of the women in our sample were seen for a screening mammogram. Following screening mammography, African American (AA) women were more likely than white women to be recommended for additional workup [relative risk (RR): 1.15 (95% CI: 1.07–1.23)]. Following diagnostic mammography, AA [RR: 1.30 (95% CI: 1.17–1.44)] and Asian [RR: 1.44 (95% CI: 1.26–1.64)] women were more likely to be recommended for biopsy, fine-needle aspiration, or surgical consultation. Depending on race/ethnicity, and considering the rate of true positive to total first screening mammograms of younger women, a women has a likelihood of a true positive of 1 in 363–1,122; she has a likelihood of a false positive of 1 in 7–10. This study of community-based practice found racial/ethnic variability in mammography indication, recommendations, and outcomes among women undergoing first mammography before 40. These findings highlight important areas for future research to understand the motivating factors for these practice patterns and the implications of early mammography use

National Performance Benchmarks for Modern Screening Digital Mammography: Update from the Breast Cancer Surveillance Consortium

Purpose To establish performance benchmarks for modern screening digital mammography and assess performance trends over time in U.S. community practice. Materials and Methods This HIPAA-compliant, institutional review board-approved study measured the performance of digital screening mammography interpreted by 359 radiologists across 95 facilities in six Breast Cancer Surveillance Consortium (BCSC) registries. The study included 1 682 504 digital screening mammograms performed between 2007 and 2013 in 792 808 women. Performance measures were calculated according to the American College of Radiology Breast Imaging Reporting and Data System, 5th edition, and were compared with published benchmarks by the BCSC, the National Mammography Database, and performance recommendations by expert opinion. Benchmarks were derived from the distribution of performance metrics across radiologists and were presented as 50th (median), 10th, 25th, 75th, and 90th percentiles, with graphic presentations using smoothed curves. Results Mean screening performance measures were as follows: abnormal interpretation rate (AIR), 11.6 (95% confidence interval [CI]: 11.5, 11.6); cancers detected per 1000 screens, or cancer detection rate (CDR), 5.1 (95% CI: 5.0, 5.2); sensitivity, 86.9% (95% CI: 86.3%, 87.6%); specificity, 88.9% (95% CI: 88.8%, 88.9%); false-negative rate per 1000 screens, 0.8 (95% CI: 0.7, 0.8); positive predictive value (PPV) 1, 4.4% (95% CI: 4.3%, 4.5%); PPV2, 25.6% (95% CI: 25.1%, 26.1%); PPV3, 28.6% (95% CI: 28.0%, 29.3%); cancers stage 0 or 1, 76.9%; minimal cancers, 57.7%; and node-negative invasive cancers, 79.4%. Recommended CDRs were achieved by 92.1% of radiologists in community practice, and 97.1% achieved recommended ranges for sensitivity. Only 59.0% of radiologists achieved recommended AIRs, and only 63.0% achieved recommended levels of specificity. Conclusion The majority of radiologists in the BCSC surpass cancer detection recommendations for screening mammography; however, AIRs continue to be higher than the recommended rate for almost half of radiologists interpreting screening mammograms. © RSNA, 2016 Online supplemental material is available for this article

Advanced Imaging and Receipt of Guideline Concordant Care in Women with Early Stage Breast Cancer

Objective. It is unknown whether advanced imaging (AI) is associated with higher quality breast cancer (BC) care. Materials and Methods. Claims and Surveillance Epidemiology and End Results data were linked for women diagnosed with incident stage I-III BC between 2002 and 2008 in western Washington State. We examined receipt of preoperative breast magnetic resonance imaging (MRI) or AI (defined as computed tomography [CT]/positron emission tomography [PET]/PET/CT) versus mammogram and/or ultrasound (M-US) alone and receipt of guideline concordant care (GCC) using multivariable logistic regression. Results. Of 5247 women, 67% received M-US, 23% MRI, 8% CT, and 3% PET/PET-CT. In 2002, 5% received MRI and 5% AI compared to 45% and 12%, respectively, in 2008. 79% received GCC, but GCC declined over time and was associated with younger age, urban residence, less comorbidity, shorter time from diagnosis to surgery, and earlier year of diagnosis. Breast MRI was associated with GCC for lumpectomy plus radiation therapy (RT) (OR 1.55, 95% CI 1.08–2.26, and p=0.02) and AI was associated with GCC for adjuvant chemotherapy for estrogen-receptor positive (ER+) BC (OR 1.74, 95% CI 1.17–2.59, and p=0.01). Conclusion. GCC was associated with prior receipt of breast MRI and AI for lumpectomy plus RT and adjuvant chemotherapy for ER+ BC, respectively

No effect of aspirin on mammographic density in a randomized controlled clinical trial.

BACKGROUND: Epidemiologic studies suggest a reduced risk of breast cancer among women who regularly use aspirin; a plausible mechanism is through aspirin effect on mammographic breast density, a breast cancer risk factor, possibly mediated through aspirin interference with estrogen synthesis. METHODS: In a 2-arm randomized placebo-controlled clinical trial, we evaluated the effects of 6-month administration of 325 mg/day aspirin on total mammographic breast dense area and percent of the mammographic breast image occupied by dense areas (% density) in 143 postmenopausal women. Eligible women, recruited from 2005 to 2007, were healthy, not taking hormone therapy, with elevated mammographic breast density (American College of Radiology Breast Imaging Reporting and Data System density category 2, 3, or 4) within 6 months before enrollment. RESULTS: Women were a mean (SD) 59.5 (5.5) years. Geometric mean baseline percent density was 17.6% (95% confidence interval, 14.8-20.9) in women randomized to aspirin and 19.2% (95% confidence interval, 16.3-22.7) in women randomized to placebo. Percent density decreased in women randomized to aspirin by an absolute 0.8% versus an absolute decrease of 1.2% in controls (P = 0.84). Total breast area and dense area decreased to a similar degree in women assigned to aspirin and in those assigned to placebo, with no statistically significant differences between trial arms. CONCLUSIONS: A single daily administration of adult-dose aspirin for 6 months had no effect on mammographic density in postmenopausal women. If aspirin affects breast cancer risk in postmenopausal women, it may do so through alternative pathways than mammographic breast density. (Cancer Epidemiol Biomarkers Prev 2009;18(5):1524-30)

An Assessment of the Quality of Mammography Care at Facilities Treating Medically Vulnerable Populations

Women in medically vulnerable populations, including racial and ethnic minorities, the socioeconomically disadvantaged, and residents of rural areas, experience higher breast cancer mortality than do others. Whether mammography facilities that treat vulnerable women demonstrate lower quality of care than other facilities is unknown

Effects of Transitioning From Conventional Methods to Liquid Based Methods on Unsatisfactory Pap Tests: Results from a Multicenter U.S. Study (poster)

Background: Pap testing has transitioned from conventional preparations (CP) to liquid based preparations (LBP) due to perceived superiority of LBPs. Many studies conclude LBPs reduce unsatisfactory (UNSAT) tests however some believe the evidence to substantiate this claim is weak. We studied the effect of the transition from CPs to LBPs on the proportion of UNSAT Pap tests (PT) in four health care systems in the United States participating in the NIH-funded SEARCH project. Methods: Our study cohort consisted of 548,174 women with 1,443,725 total PTs, ages 21-65 years, between 2000 and 2010. We used segmented regression analysis to estimate the effect of adopting LBPs on the proportion of UNSAT PTs after adjusting for age. Results: Three sites implementing SurePath LBP experienced significant reductions in UNSAT PTs (Site 1 estimated effect: -2.46% [95% CI: -1.47%, -3.45%], Site 2: -1.78% [95% CI: -1.54%, -2.02%], Site 3: -8.25% [95% CI: -7.33%, -9.17%]. The fourth site implementing ThinPrep LBP did not experience a reduction in UNSAT studies. The relative risk of an UNSAT PT in women \u3e 50 increased after the transition to LBPs (SurePath: RR 2.1 [95% CI: 1.9, 2.2] and ThinPrep: RR 1.7 [95% CI: 1.5, 2.0]). Conclusions: The observed changes in the proportion of UNSAT PTs varied across the participating sites and it was dependent on the type of LBP technology, age of women and the rates prior to the implementation of this technology