Skip to main navigation Skip to search Skip to main content

Can computed tomographic angiography be used to predict who will not benefit from endovascular treatment in patients with acute ischemic stroke? The CTA-ABC score

Research output: Contribution to journalJournal articlepeer-review

Abstract

Objective: The objective of this study was to develop a score to predict patients with acute ischemic stroke (AIS) who will not benefit from endovascular treatment (EVT) using computed tomographic angiography (CTA) parameters. Methods: The CTA-ABC score was developed from 3 scales previously described in the literature: the Alberta Stroke Program Early CT Score (0–5 points, 3; 6–10 points, 0), the clot burden score (0–3 points, 1; 4–10 points, 0), and the leptomeningeal Collateral score (0–1 points, 2; 2–3 points, 0). We evaluated the predictive value of CTA parameters associated with symptomatic intracranial hemorrhage (sICH) or malignant middle cerebral artery infarction (MMCAI) after EVT and developed the score using logistic regression coefficients. The score was then validated. Performance of the score was tested with an area under the receiver operating characteristic curve (AUC-ROC). Results: The derivation cohort consisted of 115 and the validation cohort consisted of 40 AIS patients. The AUC-ROC was 0.97 (95% confidence interval [CI], 0.94–0.99; p<0.001) in the derivation cohort. The proportions of patients with sICH and/or MMCAI in the derivation cohort were 96%, 73%, 6%, and 0% for scores of 6, 5, 1, and 0 points, respectively. In the validation group, the proportions were similar (90%, 100%, 0%, and 0%, respectively) with an AUC-ROC of 0.96 (95% CI, 0.90–1.00; p<0.001). Conclusion: Our CTA-ABC score reliably assessed risk for sICH and/or MMCAI in patients with AIS who underwent EVT. It can support clinical decision-making, especially when the need for EVT is uncertain.

Original languageEnglish
Pages (from-to)470-476
Number of pages7
JournalJournal of Korean Neurosurgical Society
Volume63
Issue number4
DOIs
StatePublished - 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Quacquarelli Symonds(QS) Subject Topics

  • Medicine

Fingerprint

Dive into the research topics of 'Can computed tomographic angiography be used to predict who will not benefit from endovascular treatment in patients with acute ischemic stroke? The CTA-ABC score'. Together they form a unique fingerprint.

Cite this