دورية أكاديمية

Automated and Clinical Breast Imaging Reporting and Data System Density Measures Predict Risk for Screen-Detected and Interval Cancers: A Case-Control Study.

التفاصيل البيبلوغرافية
العنوان: Automated and Clinical Breast Imaging Reporting and Data System Density Measures Predict Risk for Screen-Detected and Interval Cancers: A Case-Control Study.
المؤلفون: Kerlikowske, Karla, Scott, Christopher G, Mahmoudzadeh, Amir P, Ma, Lin, Winham, Stacey, Jensen, Matthew R, Wu, Fang Fang, Malkov, Serghei, Pankratz, V Shane, Cummings, Steven R, Shepherd, John A, Brandt, Kathleen R, Miglioretti, Diana L, Vachon, Celine M
المصدر: Annals of Internal Medicine, vol 168, iss 11
بيانات النشر: eScholarship, University of California
سنة النشر: 2018
المجموعة: University of California: eScholarship
مصطلحات موضوعية: Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Clinical Trials and Supportive Activities, Prevention, Cancer, Biomedical Imaging, Clinical Research, Breast Cancer, 4.1 Discovery and preclinical testing of markers and technologies, Detection, screening and diagnosis, Aged, Automation, Breast Density, Breast Neoplasms, Case-Control Studies, Early Detection of Cancer, Female, Humans, Mammography, Middle Aged, Radiographic Image Interpretation, Computer-Assisted, Risk Assessment, San Francisco, Sensitivity and Specificity, Time Factors, Clinical Sciences, Public Health and Health Services
جغرافية الموضوع: 757 - 765
الوصف: BackgroundIn 30 states, women who have had screening mammography are informed of their breast density on the basis of Breast Imaging Reporting and Data System (BI-RADS) density categories estimated subjectively by radiologists. Variation in these clinical categories across and within radiologists has led to discussion about whether automated BI-RADS density should be reported instead.ObjectiveTo determine whether breast cancer risk and detection are similar for automated and clinical BI-RADS density measures.DesignCase-control.SettingSan Francisco Mammography Registry and Mayo Clinic.Participants1609 women with screen-detected cancer, 351 women with interval invasive cancer, and 4409 matched control participants.MeasurementsAutomated and clinical BI-RADS density assessed on digital mammography at 2 time points from September 2006 to October 2014, interval and screen-detected breast cancer risk, and mammography sensitivity.ResultsOf women whose breast density was categorized by automated BI-RADS more than 6 months to 5 years before diagnosis, those with extremely dense breasts had a 5.65-fold higher interval cancer risk (95% CI, 3.33 to 9.60) and a 1.43-fold higher screen-detected risk (CI, 1.14 to 1.79) than those with scattered fibroglandular densities. Associations of interval and screen-detected cancer with clinical BI-RADS density were similar to those with automated BI-RADS density, regardless of whether density was measured more than 6 months to less than 2 years or 2 to 5 years before diagnosis. Automated and clinical BI-RADS density measures had similar discriminatory accuracy, which was higher for interval than screen-detected cancer (c-statistics: 0.70 vs. 0.62 [P < 0.001] and 0.72 vs. 0.62 [P < 0.001], respectively). Mammography sensitivity was similar for automated and clinical BI-RADS categories: fatty, 93% versus 92%; scattered fibroglandular densities, 90% versus 90%; heterogeneously dense, 82% versus 78%; and extremely dense, 63% versus 64%, respectively.LimitationNeither automated nor ...
نوع الوثيقة: article in journal/newspaper
وصف الملف: application/pdf
اللغة: unknown
العلاقة: qt7mg5j6hj; https://escholarship.org/uc/item/7mg5j6hjTest
الإتاحة: https://escholarship.org/uc/item/7mg5j6hjTest
حقوق: public
رقم الانضمام: edsbas.4F91FE1A
قاعدة البيانات: BASE