title: Diagnostic strategies for heart disease in women: an update on imaging techniques for optimal management.
abstract: Significant progress has been made toward increasing awareness of the risks of heart disease in women and in the area of sex-specific cardiovascular research. Yet, coronary artery disease remains the leading cause of death of women in the western world. Over the last decade, the increased research focus of women at risk for ischemic heart disease has helped in defining and delineating some of the sex-specific factors, which have adversely affected the accuracy of imaging techniques in women. A focused body of clinical research has been published over the last few years, and there now exists a growing body of evidence on the diagnostic and prognostic accuracy of contemporary cardiovascular imaging techniques in women. Recent publications specifically addressing this issue [namely the 2005 American Heart Association Statement on Cardiac Imaging in Women, and the 2006 Women's Ischemia Syndrome Evaluation (WISE) study] are now changing the existing paradigm of ischemic heart disease from one representing a "man's disease," to one including sex-specific algorithms. In this article we review the literature regarding the diagnostic and prognostic evaluation of coronary artery disease in women with respect to imaging.
authors: Department of Medicine, Division of Cardiology, North Shore University Hospital, Manhasset, New York, USA.
authors: Amgad N
authors: AN
authors: Makaryus
authors: Leslee J
authors: LJ
authors: Shaw
authors: Jennifer H
authors: JH
authors: Mieres
mesh_terms: D017023:Coronary Angiography; D023921:Coronary Stenosis / Q000175:diagnosis; D003935:Diagnostic Techniques, Cardiovascular; D025401:Echocardiography, Stress; D015716:Electrocardiography, Ambulatory; D005260:Female; D006331:Heart Diseases / Q000175:diagnosis*; D006801:Humans; D008279:Magnetic Resonance Imaging; D017202:Myocardial Ischemia / Q000175:diagnosis; D011877:Radionuclide Imaging; D013577:Syndrome; D014057:Tomography, X-Ray Computed; D016387:Women's Health