摘要

Purpose: To validate a novel method for the rapid and facile quantification of left ventricular (LV) twist from tagged magnetic resonance images and demonstrate the potential clinical utility in a series of 20 healthy volunteers. Materials and Methods: Cardiac magnetic resonance imaging (MRI) short-axis images were acquired with tissue tagging in 20 healthy subjects and six canines. The tagged images were processed using a novel Fourier Analysis of the STimulated echoes (FAST) method, which uses a series of Fourier-space operations to measure LV twist with limited user interaction. A subset of eight healthy subjects and the canine data were compared to results from previously validated `` gold standard'' software (FindTags). Interobserver and intraobserver coefficients of variation (CVINTER and CVINTRA), linear regression, and Bland-Altman analyses were used to assess agreement between observers and methods. Results: CVINTRA for peak systolic twist (2.9% and 2.6%) and C-VINTER (4.3% and 4.2%) were all small. Linear regression analysis of the FAST and FindTags twist values indicated very good agreement in healthy subjects (R = 0.91) and in canines (R = 0.95). Bland-Altman comparison of the FAST and FindTags twist results indicated excellent agreement in healthy subjects (bias of -0.5 degrees, 95% confidence intervals (4.3 degrees, 4.3 degrees)) and canines (bias of 0.2 degrees, 95% confidence intervals (-2.7 degrees, 3.1 degrees)). Peak systolic twist in healthy subjects averaged 10.5 +/- 1.9 degrees degrees. Conclusion: The FAST method for quantifying LV twist produces results that are not significantly different from the current `` gold standard'' in a fraction of the user interaction

  • 出版日期2012-3