title: [Understanding CAD (computer-aided diagnosis) in mammography].
abstract: Generalization of breast screening programs requires efficient double reading of mammograms, which allows reduction of false negative interpretations, but it may be difficult to achieve. CAD (Computed Aided Detection) systems are dramatically improving and can now assist in the detection of suspicious mammographic lesions, either suspicious microcalcifications, masses or architectural distortion. Characterization of the lesions is improving as well. CAD mammography might complete or substitute to "human" double reading. The aim of this review is to present the main CAD systems commercially available, review the principles of CAD and discuss the results of CAD mammography. Specifically, the role of CAD within breast screening program, according to the results of recent prospective studies will be discussed.
authors.affiliation: Service de Radiodiagnostic, Institut Gustave Roussy, 39, rue Camille Desmoulins 94805 Villejuif Cedex, France. balleyguier@igr.fr
authors.forename: C
authors.initials: C
authors.lastname: Balleyguier
authors.forename: B
authors.initials: B
authors.lastname: Boyer
authors.forename: A
authors.initials: A
authors.lastname: Athanasiou
authors.forename: D
authors.initials: D
authors.lastname: Vanel
authors.forename: R
authors.initials: R
authors.lastname: Sigal
mesh_terms: D001941:Breast Diseases / Q000000981:diagnostic imaging*; D001943:Breast Neoplasms / Q000000981:diagnostic imaging*; D005260:Female; D006801:Humans; D008327:Mammography; D008403:Mass Screening; D011857:Radiographic Image Interpretation, Computer-Assisted