Imaging features of cardioembolic stroke on 4-dimensional computed tomography angiography

Jiajing Wu1,2, Jiayang Liu1, Jingjie Wang1

  • 1Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Insights

Cardioembolic stroke identification is aided by clot length measurements on 4-dimensional computed tomography angiography (4D-CTA). Longer clot lengths on 4D-CTA are associated with cardioembolic stroke, improving etiological classification.

Area of Science:

  • Neuroradiology
  • Medical Imaging
  • Stroke Etiology

Background:

  • Identifying cardioembolic stroke is crucial for guiding endovascular treatment and anticoagulation therapy decisions.
  • 4-dimensional computed tomography angiography (4D-CTA) offers detailed visualization of cerebrovascular structures.
  • This study explores 4D-CTA features to aid in classifying stroke etiology.

Purpose of the Study:

  • To investigate the characteristics of cardioembolic stroke on 4D-CTA.
  • To assess the utility of these features in classifying stroke etiology.

Main Methods:

  • Retrospective analysis of 294 acute ischemic stroke (AIS) patients.
  • Measurement of clot length, clot burden score (CBS), and collateral score (CS) using maximum intensity projection (MIP) and time MIP (tMIP) post-processing.
  • Statistical analysis including Mann-Whitney U test, binary logistic regression, and receiver operating characteristic (ROC) curve analysis.

Main Results:

  • Significant differences in age, risk factors, clot length, CBS, and CS were observed between cardioembolic and non-cardioembolic stroke groups.
  • Median MIP clot length was 12 mm in cardioembolic stroke vs. 6.5 mm in non-cardioembolic stroke.
  • MIP clot length (OR 1.15) and tMIP clot length (OR 1.18) were significantly associated with cardioembolic stroke.

Conclusions:

  • Clot length, particularly on MIP images, can help identify cardioembolic stroke.
  • 4D-CTA derived clot length measurements demonstrate diagnostic efficacy in classifying stroke etiology.
  • Clot length is a key imaging characteristic for differentiating cardioembolic stroke.
Abstract

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