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dc.contributor.authorPhi, Xuan-Anh
dc.contributor.authorHoussami, Nehmat
dc.contributor.authorHooning, Maartje J.
dc.contributor.authorRiedl, Christopher
dc.contributor.authorLeach, Martin O
dc.contributor.authorSardanelli, Francesco
dc.contributor.authorWarner, Ellen
dc.contributor.authorTrop, Isabelle
dc.contributor.authorSaadatmand, Sepideh
dc.contributor.authorTilanus-Linthorst, Madeleine M.A.
dc.contributor.authorHelbich, Thomas H
dc.contributor.authorvan den Heuvel, Edwin R
dc.contributor.authorKoning, Harry J
dc.contributor.authorObdeijn, Inge-Marie
dc.contributor.authorde Bock, Geertruida H.
dc.date.accessioned2021-11-11T01:33:01Z
dc.date.available2021-11-11T01:33:01Z
dc.date.issued2017en_AU
dc.identifier.urihttps://hdl.handle.net/2123/26853
dc.description.abstractWomen with a strong family history of breast cancer (BC) and without a known gene mutation have an increased risk of developing BC. We aimed to investigate the accuracy of screening using annual mammography with or without magnetic resonance imaging (MRI) for these women outside the general population screening program. An individual patient data (IPD) meta-analysis was conducted using IPD from six prospective screening trials that had included women at increased risk for BC: only women with a strong familial risk for BC and without a known gene mutation were included in this analysis. A generalised linear mixed model was applied to estimate and compare screening accuracy (sensitivity, specificity and predictive values) for annual mammography with or without MRI.en_AU
dc.language.isoenen_AU
dc.publisherElsevieren_AU
dc.relation.ispartofEuropean Journal of Canceren_AU
dc.rightsCopyright All Rights Reserveden_AU
dc.subjectMagnetic resonance imagingen_AU
dc.subjectMammographyen_AU
dc.subjectBreast neoplasmsen_AU
dc.subjectEarly detection of canceren_AU
dc.subjectGenetic predisposition to diseaseen_AU
dc.subjectMeta-analysisen_AU
dc.titleAccuracy of screening women at familial risk of breast cancer without a known gene mutation: Individual patient data meta-analysis.en_AU
dc.typeArticleen_AU
dc.identifier.doi10.1016/j.ejca.2017.07.055
usyd.facultySeS faculties schools::Faculty of Medicine and Health::Sydney School of Public Healthen_AU
usyd.citation.volume85en_AU
usyd.citation.spage31en_AU
usyd.citation.epage38en_AU
workflow.metadata.onlyYesen_AU


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