Image quality and diagnostic performance of silicone-specific breast MRI |
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Authors: | Sung Hun Kim Jafi A Lipson Catherine J Moran Ann Shimakawa James Kuo Debra M Ikeda Bruce L Daniel |
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Institution: | 1. Department of Radiology, Stanford University, Stanford, CA 94305–5621, USA;2. Department of Radiology, Seoul St. Mary’s Hospital, The Catholic University of Korea, Seoul, South Korea;3. Global MR Applied Sciences Lab, GE Healthcare, Menlo Park, CA, USA |
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Abstract: | 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. |
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Keywords: | Silicone gel Magnetic resonance imaging Image quality enhancement Diagnosis |
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