ArticleClinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
Value of Multimodal Computed Tomography Quantitative Analysis for Predicting Early Neurological Deterioration in Acute Ischemic Stroke Patients Undergoing Intravenous Thrombolysis.
Article in Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
ObjectiveWe aimed to explore the performance of multimodal computed tomography (CT) quantitative analysis for predicting early neurological deterioration in acute ischemic stroke (AIS) patients undergoing intravenous thrombolysis.MethodsData from 100 AIS patients who underwent multimodal CT and intravenous thrombolysis between January 2020 and December 2023 were collected. An END group and a non-END group were set based on the presence and absence of END after treatment.ResultsAmong the 100 AIS patients, 22 developed END after intravenous thrombolysis, accounting for 22.00%. Infarct core volume was positively associated with END (P < .05), whereas ischemic penumbra volume, ASPECTS, and rLMC score showed inverse associations with END (P < .05). In multivariable analysis, infarct core volume independently increased the odds of END, while higher ASPECTS, rLMC scores, and larger penumbra volumes were associated with lower odds of END. The areas under the receiver operating characteristic (ROC) curves of infarct core volume, ischemic penumbra volume, ASPECTS and rLMC score for predicting the occurrence of END in AIS patients receiving intravenous thrombolysis were 0.761, 0.710, 0.726, 0.715 and 0.846, respectively.ConclusionMultimodal CT quantitative indicators like infarct core volume, ischemic penumbra volume, ASPECTS, and rLMC score have independent predictive values for the occurrence of END in AIS patients receiving intravenous thrombolysis, and their combination exhibits the highest predictive value.
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