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by the American Institute of Ultrasound in Medicine J Ultrasound Med 27:997-1001 0278-4297 Three-Dimensional Power Doppler Vascular Network Assessment of Adnexal MassesIntraobserver and Interobserver Agreement AnalysisDepartment of Obstetrics and Gynecology, Clinica Universitaria de Navarra, University of Navarra, Pamplona, Spain (J.L.A., R.G.); Department of Obstetrics and Gynecology, Clinica Dávila, Santiago de Chile, Chile (C.C.); and Department of Obstetrics and Gynecology, Ospedale San Giovanni di Dio, University of Cagliari, Cagliari, Italy (S.G.). Address correspondence to Juan Luis Alcázar, MD, Department of Obstetrics and Gynecology, Clinica Universitaria de Navarra, Avenida Pio XII 36, 31008 Pamplona, Spain. E-mail: jlalcazar{at}unav.es
Objective. The purpose of this study was to assess intraobserver and interobserver agreement for tumor vascular network evaluation as assessed by 3-dimensional (3D) power Doppler sonography for discriminating benign from malignant adnexal masses. Methods. Stored 3D power Doppler angiographic volume data from 39 women with a diagnosis of a vascularized adnexal mass who were evaluated and treated at our institution were retrieved from our database for analysis. Two different examiners (observer A, with 6 years of experience in 3D sonography; and observer B, with 1 year of experience) reviewed 3D sonograms blinded to each other. Three-dimensional vascular network reconstruction was done with surface rendering in the color mode. Malignancy was considered in the presence of at least 2 of the following: irregular branching, vessel caliber changes, microaneurysms, and vascular lakes. A definitive histologic diagnosis was obtained in all cases. Intraobserver and interobserver agreement rates were estimated by calculating the
Key Words: Doppler sonography ovarian neoplasms reproducibility of results sonography 3-dimensional imaging Abbreviations: CI, confidence interval NPV, negative predictive value PDA, power Doppler angiography PPV, positive predictive value 3D, 3-dimensional 2D, 2-dimensional
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