• Magn Reson Imaging · Nov 2013

    Comparative Study

    Image quality and diagnostic performance of silicone-specific breast MRI.

    • Sung Hun Kim, Jafi A Lipson, Catherine J Moran, Ann Shimakawa, James Kuo, Debra M Ikeda, and Bruce L Daniel.
    • Department of Radiology, Stanford University, Stanford, CA 94305-5621, USA; Department of Radiology, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, South Korea.
    • Magn Reson Imaging. 2013 Nov 1; 31 (9): 1472-8.

    PurposeTo compare the image quality of three techniques and diagnostic performance in detecting implant rupture.Materials And MethodsThe study included 161 implants for the evaluation of image quality, composed of water-saturated short TI inversion recovery (herein called "water-sat STIR"), three-point Dixon techniques (herein called "Dixon"), and short TI inversion recovery fast spin-echo with iterative decomposition of silicone and water using least-squares approximation (herein called "STIR IDEAL") and included 41 implants for the evaluation of diagnostic performance in detecting rupture, composed of water-sat STIR and STIR IDEAL. Six image quality categories were evaluated and three classifications were used: normal implant, possible rupture, and definite rupture.ResultsStatistically significant differences were noted for the image quality categories (p<0.001). STIR IDEAL was superior or equal to water-sat STIR in all image quality categories except artifact effects and superior to Dixon in all categories. Water-sat STIR performed the poorest for water suppression uniformity. The sensitivity and specificity in detecting implant rupture of STIR-IDEAL were 81.8 % and 77.8 % and the difference between two techniques was not statistically significant.ConclusionSTIR-IDEAL is a useful silicone-specific imaging technique demonstrating more robust water suppression and equivalent diagnostic accuracy for detecting implant rupture, than water-sat STIR, at the cost of longer scan time and an increase in minor motion artifacts.Copyright © 2013 Elsevier Inc. All rights reserved.

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