title: The sonographic stenosis index: computer simulation of a novel method for detecting and quantifying arterial narrowing.
abstract: OBJECTIVE
  We introduce a new technique for quantifying arterial stenoses, stenosis index (SI), using frequency analysis of the spectral Doppler waveform.
  
  
  METHODS
  Spectral Doppler waveforms obtained distal to arterial stenoses were enveloped, and the envelope was transformed into the frequency domain via Fourier transform. Stenosis index represents the ratio of the power in high-frequency harmonics to the power in the fundamental frequency.Stenosis index was compared with resistive index (RI), pulsatility index (PI), and acceleration time using 1000 computer simulations of waveforms from arteries distal to transplanted renal artery stenoses using Kendall tau correlation coefficients and receiver operating characteristic curve analyses.
  
  
  RESULTS
  The mean r's using Kendall tau correlation for SI, RI, and PI were 0.58, 0.31, and 0.45, respectively. The 95% confidence intervals for increase in r's for SI versus RI and PI to the degree of stenosis (none, mild, and severe) in the 1000 computer simulations were 0.22 to 0.34 and 0.07 to 0.19. The difference between the areas under the curves for SI versus RI and PI for normal artery versus mild stenosis was 0.26 to 0.44 and 0.078 to 0.24. Stenosis index and acceleration time were not significantly different.
  
  
  CONCLUSIONS
  In computational models, SI outperformed RI and PI in correlation and receiver operating characteristic curve analysis. Further testing of SI is warranted.
authors: Department of Radiology, University of Washington, Seattle, WA 98195, USA. sschan@uw.edu
authors: Sherwin
authors: S
authors: Chan
authors: Michael Felden
authors: MF
authors: McNeeley
authors: Thomas Xuan
authors: TX
authors: Le
authors: Daniel S
authors: DS
authors: Hippe
authors: Manjiri
authors: M
authors: Dighe
authors: Theodore J
authors: TJ
authors: Dubinsky
mesh_terms: D001157:Arterial Occlusive Diseases / Q000000981:diagnostic imaging* / Q000503:physiopathology*; D001158:Arteries / Q000000981:diagnostic imaging* / Q000503:physiopathology*; D001783:Blood Flow Velocity; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008955:Models, Cardiovascular; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012720:Severity of Illness Index; D014463:Ultrasonography; D014655:Vascular Resistance