Parametric mapping of contrasted ovarian transvaginal sonography

• Published in: Ultrasound quarterly Vol. 31; no. 2; p. 117
• Main Authors: Korhonen, Katrina, Moore, Ryan, Lyshchik, Andrej, Fleischer, Arthur C
• Format: Journal Article
• Language: English
• Published: United States 01.06.2015
• Subjects: Adult; Aged; Contrast Media; Diagnosis, Differential; Female; Fluorocarbons; Humans; Image Enhancement - methods; Middle Aged; Ovarian Neoplasms - diagnostic imaging; Ovary - diagnostic imaging; Reproducibility of Results; Sensitivity and Specificity; Ultrasonography, Doppler, Color; Young Adult
• ISSN: 1536-0253
• DOI: 10.1097/RUQ.0000000000000125

The purpose of this study was to assess the accuracy of parametric analysis of transvaginal contrast-enhanced ultrasound (TV-CEUS) for distinguishing benign versus malignant ovarian masses. A total of 48 ovarian masses (37 benign and 11 borderline/malignant) were examined with TV-CEUS (Definity; Lantheus, North Billerica, MA; Philips iU22; Philips Medical Systems, Bothell, WA). Parametric images were created offline with a quantification software (Bracco Suisse SA, Geneva, Switzerland) with map color scales adjusted such that abnormal hemodynamics were represented by the color red and the presence of any red color could be used to differentiate benign and malignant tumors. Using these map color scales, low values of the perfusion parameter were coded in blue, and intermediate values of the perfusion parameter were coded in yellow. Additionally, for each individual color (red, blue, or yellow), a darker shade of that color indicated a higher intensity value. Our study found that the parametric mapping method was considerably more sensitive than standard region of interest (ROI) analysis for the detection of malignant tumors but was also less specific than standard ROI analysis. Parametric mapping allows for stricter cutoff criteria, as hemodynamics are visualized on a finer scale than ROI analyses, and as such, parametric maps are a useful addition to TV-CEUS analysis by allowing ROIs to be limited to areas of the highest malignant potential.