Transaortic flow velocity from dual-source MDCT for the diagnosis of aortic stenosis severity

Carl J Schultz1, Stella-Lida Papadopoulou, Adriaan Moelker

  • 1Department of Cardiology, Erasmus MC Rotterdam, The Netherlands.

Insights

This study introduces a novel method using dual-source multidetector computed tomography (MDCT) to estimate transaortic flow velocity. MDCT peak velocity shows high correlation with transthoracic echocardiography and improves detection of severe aortic stenosis.

Area of Science:

  • Cardiovascular imaging
  • Medical physics

Background:

  • Cardiac multidetector computed tomography (MDCT) captures flow components like volume change and lumenal area.
  • Instantaneous flow measurement remains a challenge with current cardiac MDCT techniques.

Purpose of the Study:

  • To present a novel method for estimating transaortic flow velocity using multidetector computed tomography (MDCT).
  • To evaluate the diagnostic performance of MDCT-derived flow velocity for severe aortic stenosis compared to aortic valve area (AVA) planimetry.

Main Methods:

  • Transaortic flow velocity was assessed in 36 patients using both transthoracic echocardiography (TTE) and cardiac MDCT.
  • MDCT involved axial imaging of the aortic root, AVA planimetry, and left ventricular volume calculation.
  • Flow velocity was computed using incremental ejection volume, duration, and AVA.

Main Results:

  • A strong correlation was observed between TTE and MDCT peak velocities (r = 0.75, P < 0.01).
  • MDCT peak velocity was significantly higher than TTE peak velocity (median 4.5 vs 4.0, P < 0.01).
  • MDCT peak velocity demonstrated superior sensitivity (100%) for diagnosing severe aortic stenosis compared to MDCT AVA (74%) when validated against TTE.

Conclusions:

  • Transaortic flow velocity can be reliably estimated using dual-source MDCT.
  • MDCT-derived flow velocity offers improved sensitivity for detecting severe aortic stenosis compared to AVA planimetry.
  • This method provides a valuable non-invasive tool for assessing aortic stenosis severity.
Abstract