12 research outputs found

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

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    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

    Performance of Screening Ultrasound as an Adjunct to Screening Mammography in Women Across the Spectrum of Breast Cancer Risk

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    Importance: Whole-breast ultrasound has been advocated to supplement screening mammography to improve outcomes in women with dense breasts. Objective: To determine the performance of screening mammography plus screening ultrasound compared with screening mammography alone in community practice. Design: Observational cohort study. Setting: The study was IRB approved and HIPAA compliant. Two Breast Cancer Surveillance Consortium (BCSC) registries provided prospectively collected data on screening mammography with vs. without same-day breast ultrasound from 2000-2013. Participants: 6,081 screening mammography plus same day screening ultrasound examinations in 3,385 women were propensity score matched 1:5 to 30,062 screening mammograms without screening ultrasound in 15,176 women from a sample of 113,293 mammograms. Exclusion criteria included personal history of breast cancer and self-reported breast symptoms. Exposure: Screening mammography with versus without screening ultrasound. Main Outcomes and Measures: Cancer detection rate (CDR), and rates of interval cancer, false-positive (FP) biopsy recommendation, short-interval follow-up (SIFU), and positive predictive value of biopsy recommendation (PPV2) were estimated and compared using logbinomial regression. Results: Screening mammography with vs without ultrasound examinations were performed more often in women with dense breasts (74% vs 36% in the overall sample); who were younger than 50 years (50% vs 32%), with a family history of breast cancer (43% vs 15%). While 21% of screening ultrasound examinations were performed in women with high or very high (>2.50%) BCSC 5-year risk scores, 53% had low or average (<1.67%) risk. Comparing mammography plus ultrasound to mammography alone, CDR was similar: 5.4 vs. 5.5 per 1000 examinations (adjusted relative risk [RR]=1.14 95% confidence interval [CI]: 0.76-1.68); as were interval cancer rates: 1.5 vs. 1.9 per 1,000 examinations (RR=0.67, 95%CI: 0.33-1.37); FP biopsy rates were significantly higher: 52.0 vs. 22.2 per 1000 examinations (RR=2.23, 95%CI: 1.93-2.58); as was SIFU: 3.9% vs. 1.1% (RR=3.10, 95%CI: 2.60-3.70); PPV2 was significantly lower: 9.5% vs. 21.4% (RR=0.50 95%CI: 0.35-0.71). Conclusions and Relevance: In a relatively young population of women at low, intermediate, and high breast cancer risk, our results suggest that the benefits of supplemental ultrasound screening may not outweigh associated harms

    Emerging Trends in Family History of Breast Cancer and Associated Risk.

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    Background: Increase in breast cancer incidence associated with mammography screening diffusion may have attenuated risk associations between family history and breast cancer.Methods: The proportions of women ages 40 to 74 years reporting a first-degree family history of breast cancer were estimated in the Breast Cancer Surveillance Consortium cohort (BCSC: N = 1,170,900; 1996-2012) and the Collaborative Breast Cancer Study (CBCS: cases N = 23,400; controls N = 26,460; 1987-2007). Breast cancer (ductal carcinoma in situ and invasive) relative risk estimates and 95% confidence intervals (CI) associated with family history were calculated using multivariable Cox proportional hazard and logistic regression models.Results: The proportion of women reporting a first-degree family history increased from 11% in the 1980s to 16% in 2010 to 2013. Family history was associated with a &gt;60% increased risk of breast cancer in the BCSC (HR, 1.61; 95% CI, 1.55-1.66) and CBCS (OR, 1.64; 95% CI, 1.57-1.72). Relative risks decreased slightly with age. Consistent trends in relative risks were not observed over time or across stage of disease at diagnosis in both studies, except among older women (ages 60-74) where estimates were attenuated from about 1.7 to 1.3 over the last 20 years (P trend = 0.08 for both studies).Conclusions: Although the proportion of women with a first-degree family history of breast cancer increased over time and by age, breast cancer risk associations with family history were nonetheless fairly constant over time for women under age 60.Impact: First-degree family history of breast cancer remains an important breast cancer risk factor, especially for younger women, despite its increasing prevalence in the mammography screening era. Cancer Epidemiol Biomarkers Prev; 26(12); 1753-60. ©2017 AACR

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

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    PURPOSE: To establish contemporary performance benchmarks for diagnostic digital mammography with use of recent data from the Breast Cancer Surveillance Consortium (BCSC). MATERIALS AND METHODS: Institutional review board approval was obtained for active or passive consenting processes or to obtain a waiver of consent to enroll participants, link data, and perform analyses. Data were obtained from six BCSC registries (418 radiologists, 92 radiology facilities). Mammogram indication and assessments were prospectively collected for women undergoing diagnostic digital mammography and linked with cancer diagnoses from state cancer registries. The study included 401 548 examinations conducted from 2007 to 2013 in 265 360 women. RESULTS: Overall diagnostic performance measures were as follows: cancer detection rate, 34.7 per 1000 (95% confidence interval [CI]: 34.1, 35.2); abnormal interpretation rate, 12.6% (95% CI: 12.5%, 12.7%); positive predictive value (PPV) of a biopsy recommendation (PPV(2)), 27.5% (95% CI: 27.1%, 27.9%); PPV of biopsies performed (PPV(3)), 30.4% (95% CI: 29.9%, 30.9%); false-negative rate, 4.8 per 1000 (95% CI: 4.6, 5.0); sensitivity, 87.8% (95% CI: 87.3%, 88.4%); and specificity, 90.5% (95% CI: 90.4%, 90.6%). Among cancers detected, 63.4% were stage 0 or 1 cancers, 45.6% were minimal cancers, the mean size of invasive cancers was 21.2 mm, and 69.6% of invasive cancers were node negative. Performance metrics varied widely across diagnostic indications, with cancer detection rate (64.5 per 1000) and abnormal interpretation rate (18.7%) highest for diagnostic mammograms obtained to evaluate a breast problem with a lump. Compared with performance during the screen-film mammography era, diagnostic digital performance showed increased abnormal interpretation and cancer detection rates and decreasing PPVs, with less than 70% of radiologists within acceptable ranges for PPV(2) and PPV(3). CONCLUSION: These performance measures can serve as national benchmarks that may help transform the marked variation in radiologists’ diagnostic performance into targeted quality improvement efforts. (©) RSNA, 2017 Online supplemental material is available for this article
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