title: Supplemental Breast MR Imaging Screening of Women with Average Risk of Breast Cancer.
abstract: Purpose To investigate the utility and accuracy of breast magnetic resonance (MR) imaging as a supplemental screening tool in women at average risk for breast cancer and to investigate the types of cancer detected with MR imaging screening. Materials and Methods This prospective observational study was conducted at two academic breast centers in women aged 40-70 years without breast cancer-associated risk factors (lifetime risk <15%). Between January 2005 and December 2013, women with at least minimal residual breast tissue (American College of Radiology categories A-D) and normal conventional imaging findings (screening mammography with or without screening ultrasonography [US]) were invited to undergo supplemental MR imaging screening. Outcome measures were supplemental cancer detection rates, interval cancer rates, and biologic profiles of MR imaging-detected additional cancers, as well as specificity and positive predictive value (PPV) of MR imaging screening. Tissue diagnoses or 2 years of follow-up were used to establish the reference standard. Results A total of 2120 women were recruited and underwent 3861 screening MR imaging studies, covering an observation period of 7007 women-years. Breast MR imaging depicted 60 additional breast cancers (ductal carcinoma in situ, n = 20; invasive carcinoma, n = 40) for an overall supplemental cancer detection rate of 15.5 per 1000 cases (95% confidence interval [CI]: 11.9, 20.0). Forty-eight additional cancers were detected with MR imaging at initial screening (supplemental cancer detection rate, 22.6 per 1000 cases). During the 1741 subsequent screening rounds, 12 of 13 incident cancers were found with MR imaging alone (supplemental cancer detection rate, 6.9 per 1000 cases). One cancer was diagnosed with all three methods (mammography, US, and MR imaging), and none were diagnosed with mammography only or US only. Cancers diagnosed with MR imaging were small (median, 8 mm), node negative in 93.4% of cases, and dedifferentiated (high-grade cancer) in 41.7% of cases at prevalence screening and 46.0% of cases at incidence screening. No interval cancers were observed. MR imaging screening offered high specificity (97.1%; 95% CI: 96.5, 97.6) and high PPV (35.7%; 95% CI: 28.9, 43.1). Conclusion In women at average risk for breast cancer, MR imaging screening improves early diagnosis of prognostically relevant breast cancer.©RSNA, 2017 Online supplemental material is available for this article.
authors.affiliation: From the Department of Diagnostic and Interventional Radiology (C.K.K., K.S., S.S.) and Section of Biostatistics, Department of Diagnostic and Interventional Radiology (H.B.), University of Aachen, RWTH, Pauwelsstr 30, 52074 Aachen, Germany; and Department of Radiology, University of Bonn, Bonn, Germany (C.L., H.H.S.).
authors.forename: Christiane K
authors.initials: CK
authors.lastname: Kuhl
authors.affiliation: From the Department of Diagnostic and Interventional Radiology (C.K.K., K.S., S.S.) and Section of Biostatistics, Department of Diagnostic and Interventional Radiology (H.B.), University of Aachen, RWTH, Pauwelsstr 30, 52074 Aachen, Germany; and Department of Radiology, University of Bonn, Bonn, Germany (C.L., H.H.S.).
authors.forename: Kevin
authors.initials: K
authors.lastname: Strobel
authors.affiliation: From the Department of Diagnostic and Interventional Radiology (C.K.K., K.S., S.S.) and Section of Biostatistics, Department of Diagnostic and Interventional Radiology (H.B.), University of Aachen, RWTH, Pauwelsstr 30, 52074 Aachen, Germany; and Department of Radiology, University of Bonn, Bonn, Germany (C.L., H.H.S.).
authors.forename: Heribert
authors.initials: H
authors.lastname: Bieling
authors.affiliation: From the Department of Diagnostic and Interventional Radiology (C.K.K., K.S., S.S.) and Section of Biostatistics, Department of Diagnostic and Interventional Radiology (H.B.), University of Aachen, RWTH, Pauwelsstr 30, 52074 Aachen, Germany; and Department of Radiology, University of Bonn, Bonn, Germany (C.L., H.H.S.).
authors.forename: Claudia
authors.initials: C
authors.lastname: Leutner
authors.affiliation: From the Department of Diagnostic and Interventional Radiology (C.K.K., K.S., S.S.) and Section of Biostatistics, Department of Diagnostic and Interventional Radiology (H.B.), University of Aachen, RWTH, Pauwelsstr 30, 52074 Aachen, Germany; and Department of Radiology, University of Bonn, Bonn, Germany (C.L., H.H.S.).
authors.forename: Hans H
authors.initials: HH
authors.lastname: Schild
authors.affiliation: From the Department of Diagnostic and Interventional Radiology (C.K.K., K.S., S.S.) and Section of Biostatistics, Department of Diagnostic and Interventional Radiology (H.B.), University of Aachen, RWTH, Pauwelsstr 30, 52074 Aachen, Germany; and Department of Radiology, University of Bonn, Bonn, Germany (C.L., H.H.S.).
authors.forename: Simone
authors.initials: S
authors.lastname: Schrading
mesh_terms: D000328:Adult; D017677:Age Distribution; D000368:Aged; D001943:Breast Neoplasms / Q000000981:diagnostic imaging* / Q000453:epidemiology*; D055088:Early Detection of Cancer / Q000379:methods / Q000706:statistics & numerical data*; D005260:Female; D005858:Germany / Q000453:epidemiology; D006801:Humans; D008137:Longitudinal Studies; D008279:Magnetic Resonance Imaging / Q000379:methods / Q000706:statistics & numerical data*; D008327:Mammography / Q000379:methods / Q000706:statistics & numerical data*; D008875:Middle Aged; D015995:Prevalence; D015203:Reproducibility of Results; D018570:Risk Assessment / Q000379:methods; D012680:Sensitivity and Specificity