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.
Background:
Identifying cardioembolic stroke is important for the decision-making of endovascular treatment and anticoagulation therapy. We aimed to explore the features of cardioembolic stroke on 4-dimensional (4D) computed tomography angiography (4D-CTA) and assess whether these features can assist in classifying stroke etiology.
Methods:
In this retrospective study, we analyzed the images of 294 patients with acute ischemic stroke (AIS) from July 2020 to February 2022 at the First Affiliated Hospital of Chongqing Medical University, which had been consecutively collected. The data of 110 patients with occlusion of the M1/M2 segment of the middle cerebral artery (MCA) with/without intracranial internal carotid artery (ICA) occlusion were analyzed to calculate the clot burden score (CBS) and collateral score (CS), and the data of 88 patients with a clear origin and distal part were analyzed to measure clot length. Maximum intensity projection (MIP) and time MIP (tMIP) post-processing were used to assess the clot features. The Mann-Whitney U test was used to compare the clot characteristics between the 2 groups. Binary logistic regression was performed to assess the association between the image characteristics and cardioembolic stroke. Moreover, the receiver operating characteristic (ROC) curve was used to test the diagnostic efficacy of MIP/tMIP clot features in classifying cardioembolic stroke.
Results:
Age, high-risk factors for cerebrovascular disease, high/medium-risk sources of cardioembolic stroke, clot length, CBS, and CS were significantly different between the cardioembolic stroke group and non-cardioembolic stroke group (P<0.05). In the cardioembolic stroke group, the median MIP and tMIP clot length was 12 mm [interquartile range (IQR), 8.3-17.4 mm] and 9.3 mm (IQR, 6.8-14.3 mm), respectively. In the non-cardioembolic stroke group, the median MIP and tMIP clot length was 6.5 mm (IQR, 4.7-11.5 mm) and 5.8 mm (IQR, 3.9-10.6 mm), respectively. Binary logistic regression showed that cardioembolic stroke was significantly associated with MIP-clot length [odds ratio (OR), 1.15; 95% confidence interval (CI): 1.02-1.29; P<0.05], tMIP-clot length (OR, 1.18; 95% CI: 1.02-1.36; P<0.05), and tMIP-CBS (OR, 3.96; 95% CI: 1.08-14.58; P<0.05). The area under the ROC curve (AUC) values of MIP clot length for identifying cardioembolic stroke were 0.75 (95% CI: 0.65-0.84, P<0.05), with a cut-off value of >7.4 mm [sensitivity: 84.62% (95% CI: 69.50-94.10%); specificity: 59.18% (95% CI: 44.20-73.00%)]. The AUC value of tMIP clot length was 0.72 (95% CI: 0.61-0.81, P<0.05), with a cut-off value of >5.4 mm [sensitivity: 92.31% (95% CI: 79.10-98.40%); specificity: 48.98% (95% CI: 34.40-63.70%)].
Conclusions:
Clot length and CBS were overestimated on MIP images. Among the clot characteristics, clot length could identify cardioembolic stroke.
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