Do flow-gradient groups determined by MDCT predict outcomes: validating CT stroke volume

Faisal Rahman1, Pallavi Pandey2, Ankur Pandey3,4

  • 1Division of Cardiology, Johns Hopkins Hospital, Baltimore, MD, USA.

Insights

Computed tomography blood pool based (CT-blp) analysis accurately estimates stroke volume in patients undergoing transcatheter aortic valve replacement (TAVR). This method aids in identifying low-flow, low-gradient aortic stenosis, improving patient stratification for TAVR.

Area of Science:

  • Cardiology
  • Medical Imaging
  • Interventional Cardiology

Background:

  • Accurate diagnosis of severe aortic stenosis is challenging, particularly in patients with low-flow states.
  • Non-invasive imaging modalities are crucial for timely diagnosis and treatment initiation.

Purpose of the Study:

  • To evaluate the accuracy of CT blood pool based (CT-blp) analysis in estimating stroke volume compared to echocardiogram and right heart catheterization.
  • To assess the performance of CT-blp in predicting 30-day and 1-year outcomes in patients undergoing transcatheter aortic valve replacement (TAVR).

Main Methods:

  • Retrospective, single-center study involving 345 patients with aortic stenosis undergoing TAVR.
  • Stroke volume calculated using CT-blp, echocardiogram, and right heart catheterization prior to TAVR.
  • Comparison of modality performance in predicting short-term and long-term clinical outcomes.

Main Results:

  • CT-blp demonstrated a stronger correlation with cath-derived stroke volume (r=0.60) than echocardiogram (r=0.37).
  • No significant difference in mortality was observed between groups stratified by flow and gradient using CT-blp or echo.
  • The composite of mortality and hospital readmission was significantly higher in the low-flow, low-gradient group identified by CT-blp (30-day OR 2.6; 1-year OR 1.9).

Conclusions:

  • CT-blp provides a reliable estimation of stroke volume, correlating well with invasive measurements in patients evaluated for TAVR.
  • CT-blp can effectively stratify patients into flow-gradient groups, aiding in the identification of low-flow, low-gradient aortic stenosis when echocardiography is limited.
  • Further research with larger cohorts is warranted to validate these findings and their clinical implications.
Abstract

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