Computed Tomography Perfusion Identifies Patients With Stroke With Impaired Cardiac Function

Carlos Garcia-Esperon1,2, Neil J Spratt1,2, Shyam Gangadharan1

  • 1From the Department of Neurology, John Hunter Hospital (C.G.-E., N.J.S., S.G., F.M., C.R.L.), University of Newcastle, Australia.

Stroke
|January 4, 2020
PubMed

Insights

Arterial input function (AIF) width on CT perfusion scans can predict reduced left ventricular ejection fraction (LVEF) in stroke patients. A 29-second AIF duration threshold identifies patients with lower LVEF and worse clinical outcomes.

Area of Science:

  • Neurology
  • Cardiology
  • Radiology

Background:

  • Low left ventricular ejection fraction (LVEF) is associated with poorer outcomes following stroke.
  • Assessing cardiac function is crucial for stroke patient management.

Purpose of the Study:

  • To investigate the correlation between arterial input function (AIF) variability on perfusion CT and LVEF.
  • To determine if AIF parameters can predict reduced cardiac output and stroke outcomes.

Main Methods:

  • Retrospective analysis of 732 ischemic stroke patients undergoing CT.
  • Correlation of AIF time (scan onset to end of AIF - SO-EndAIF) with LVEF from echocardiography in 231 patients.
  • Comparison of SO-EndAIF with hypoperfusion volume and 3-month modified Rankin Scale outcomes in 393 patients.

Main Results:

  • Patients with decreased LVEF (<50%) had significantly prolonged SO-EndAIF (mean 39.7s vs 26s) and larger hypoperfusion lesions.
  • SO-EndAIF time strongly correlated with LVEF (AUC 0.86), with a 29-second threshold effectively distinguishing normal from impaired EF (AUC 0.77).
  • SO-EndAIF ≥29 seconds was linked to larger hypoperfusion and infarct core volumes, and poorer clinical outcomes (mRS 0-1: 22% vs 40%).

Conclusions:

  • Arterial input function (AIF) width on CT perfusion imaging correlates with ejection fraction in acute ischemic stroke.
  • A 29-second SO-EndAIF threshold accurately predicts reduced LVEF.
  • This AIF duration can identify stroke patients at higher risk for worse clinical outcomes.

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