Boyer Bruno, Balleyguier Corinne, Granat Olivier, Pharaboz Christian
Cabinet de Radiologie, 6, place d'Italie, 75013 Paris, France.
Eur J Radiol. 2009 Jan;69(1):24-33. doi: 10.1016/j.ejrad.2008.07.042. Epub 2008 Oct 31.
Generalization of breast screening programs requires an efficient double reading of the mammograms, which allows reduction of false-negative rate, but might be difficult to organize. CAD (Computed Assisted Diagnosis) is dramatically improving and is able to detect suspicious mammographic lesions, either suspicious microcalcifications, masses or architectural distorsions. CAD mammography might complete or substitute to "human" double reading. The aim of this review is to describe major CAD systems commercially available, working of CAD and to present principal results of CAD mammography. Specially, place of CAD within breast screening program, according to the results of recent prospective studies will be discussed.
乳腺筛查项目的推广需要对乳房X光片进行有效的双人读片，这有助于降低假阴性率，但可能难以组织实施。计算机辅助诊断（CAD）正在显著改进，能够检测出可疑的乳房X光病变，包括可疑的微钙化、肿块或结构扭曲。CAD乳房X光检查可能会补充或替代“人工”双人读片。本综述的目的是描述市面上主要的CAD系统、CAD的工作原理，并展示CAD乳房X光检查的主要结果。特别是，将根据近期前瞻性研究的结果讨论CAD在乳腺筛查项目中的地位。
