• Title of article

    Image quality and diagnostic performance of silicone-specific breast MRI

  • Author/Authors

    Kim، نويسنده , , Sung Hun and Lipson، نويسنده , , Jafi A. and Moran، نويسنده , , Catherine J. and Shimakawa، نويسنده , , Ann and Kuo، نويسنده , , James and Ikeda، نويسنده , , Debra M. and Daniel، نويسنده , , Bruce L.، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2013
  • Pages
    7
  • From page
    1472
  • To page
    1478
  • Abstract
    AbstractPurpose pare the image quality of three techniques and diagnostic performance in detecting implant rupture. als and Methods udy 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. age quality categories were evaluated and three classifications were used: normal implant, possible rupture, and definite rupture. s tically 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. nsitivity 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. sion DEAL 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 , diagnosis , Image quality enhancement
  • Journal title
    Magnetic Resonance Imaging
  • Serial Year
    2013
  • Journal title
    Magnetic Resonance Imaging
  • Record number

    1833713