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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
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
dc.language.isoenen
dc.publisherElsevieren
dc.relation.ispartofEuropean Journal of Canceren
dc.rightsCopyright All Rights Reserveden
dc.subjectMagnetic resonance imagingen
dc.subjectMammographyen
dc.subjectBreast neoplasmsen
dc.subjectEarly detection of canceren
dc.subjectGenetic predisposition to diseaseen
dc.subjectMeta-analysisen
dc.titleAccuracy of screening women at familial risk of breast cancer without a known gene mutation: Individual patient data meta-analysis.en
dc.typeArticleen
dc.identifier.doi10.1016/j.ejca.2017.07.055
usyd.facultySeS faculties schools::Faculty of Medicine and Health::Sydney School of Public Healthen
usyd.citation.volume85en
usyd.citation.spage31en
usyd.citation.epage38en
workflow.metadata.onlyYesen


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