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Optimal Delay Time of CT Perfusion for Predicting Cerebral Parenchymal Hematoma After Intra-Arterial tPA Treatment

Overview of attention for article published in Frontiers in Neurology, August 2018
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Title
Optimal Delay Time of CT Perfusion for Predicting Cerebral Parenchymal Hematoma After Intra-Arterial tPA Treatment
Published in
Frontiers in Neurology, August 2018
DOI 10.3389/fneur.2018.00680
Pubmed ID
Authors

Bing Wu, Nan Liu, Max Wintermark, Mark W. Parsons, Hui Chen, Longting Lin, Shuai Zhou, Gang Hu, Yongwei Zhang, Jun Hu, Ying Li, Zihua Su, Xinhuai Wu, Guangming Zhu

Abstract

Background and Purpose: Cerebral hemorrhage is a serious potential complication of stroke revascularization, especially in patients receiving intra-arterial tissue-type plasminogen activator (tPA) therapy. We investigated the optimal pre-intervention delay time (DT) of computed tomography perfusion (CTP) measurement to predict cerebral parenchymal hematoma (PH) in acute ischemic stroke (AIS) patients after intra-arterial tissue plasminogen activator (tPA) treatment. Methods: The study population consisted of a series of patients with AIS who received intra-arterial tPA treatment and had CTP and follow-up computed tomography/magnetic resonance imaging (CT/MRI) to identify hemorrhagic transformation. The association of increasing DT thresholds (>2, >4, >6, >8, and >10 s) with PH was examined using receiver operating characteristic (ROC) analysis and logistic regression. Results: Of 94 patients, 23 developed PH on follow-up imaging. Receiver operating characteristic analysis revealed that the greatest area under the curve for predicting PH occurred at DT > 4 s (area under the curve, 0.66). At this threshold of > 4 s, DT lesion volume ≥ 30.85 mL optimally predicted PH with 70% sensitivity and 59% specificity. DT > 4 s volume was independently predictive of PH in a multivariate logistic regression model (P < 0.05). Conclusions: DT > 4 s was the parameter most strongly associated with PH. The volume of moderate, not severe, hypo-perfusion on DT is more strongly associated and may allow better prediction of PH after intra-arterial tPA thrombolysis.

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Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 17%
Researcher 3 13%
Lecturer 2 8%
Student > Bachelor 2 8%
Student > Doctoral Student 1 4%
Other 6 25%
Unknown 6 25%
Readers by discipline Count As %
Medicine and Dentistry 7 29%
Neuroscience 4 17%
Arts and Humanities 1 4%
Social Sciences 1 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Other 2 8%
Unknown 8 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 August 2018.
All research outputs
#20,530,891
of 23,100,534 outputs
Outputs from Frontiers in Neurology
#9,028
of 12,015 outputs
Outputs of similar age
#290,862
of 333,760 outputs
Outputs of similar age from Frontiers in Neurology
#222
of 289 outputs
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