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Image quality and diagnostic performance of silicone-specific breast MRI
Authors:Sung Hun Kim  Jafi A Lipson  Catherine J Moran  Ann Shimakawa  James Kuo  Debra M Ikeda  Bruce L Daniel
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
Abstract:

Purpose

To compare the image quality of three techniques and diagnostic performance in detecting implant rupture.

Materials and Methods

The 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.

Results

Statistically 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.

Conclusion

STIR-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.
Keywords:Silicone gel  Magnetic resonance imaging  Image quality enhancement  Diagnosis
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