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In vitro Assessment of Aortic Regurgitation Using Four-Dimensional Flow Magnetic Resonance Imaging
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Quantification of aortic regurgitant fraction and volume with multi-detector computed tomography comparison with

Gudrun M Feuchtner1, Alexander Spoeck, Jonathan Lessick

  • 1Department of Radiology II, Innsbruck Medical University, Anichstrasse 35, A-6020 Innsbruck, Austria. Gudrun.Feuchtner@i-med.ac.at

Academic Radiology
|February 8, 2011
PubMed

Insights

Computed tomography (CT) accurately quantifies aortic regurgitation (AR) fraction and volume, correlating well with echocardiography. This method aids in assessing AR severity and guiding clinical decisions, especially for cardiac surgery.

Area of Science:

  • Cardiovascular Imaging
  • Medical Diagnostics
  • Radiology

Background:

  • Aortic regurgitation (AR) is a significant valvular heart disease.
  • Accurate quantification of AR severity is crucial for patient management.
  • Current quantification methods may have limitations.

Purpose of the Study:

  • To evaluate the accuracy of computed tomography (CT) in quantifying aortic regurgitation (AR) fraction and volume.
  • To compare CT-derived AR parameters with transthoracic echocardiography (TTE).
  • To assess the diagnostic performance of CT in classifying AR severity.

Main Methods:

  • Fifty-three patients with AR and 29 controls underwent 64-multi-detector CT coronary angiography and TTE.
  • A 3D segmentation algorithm was used to calculate left and right ventricular volumes and LV mass.
  • AR volume and fraction were derived from stroke volumes; AR orifice area (ROA) was also measured by CT.

Main Results:

  • CT demonstrated good correlation with TTE for AR fraction (r=0.95) and AR volume (r=0.92) across all severity levels.
  • CT correctly classified AR severity in 93% of patients by fraction and 89% by volume.
  • High sensitivity (98%) and specificity (90.3%) were observed, improving to 97% with ROA measurement.

Conclusions:

  • CT coronary angiography datasets can accurately quantify aortic regurgitation fraction and volume.
  • CT-derived parameters are valuable for clinical management, including cardiac surgery decisions.
  • Adding ROA measurement enhances CT's diagnostic specificity for AR.
Abstract

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