2017
DOI: 10.1371/journal.pone.0188238
|View full text |Cite
|
Sign up to set email alerts
|

High-permeability region size on perfusion CT predicts hemorrhagic transformation after intravenous thrombolysis in stroke

Abstract: ObjectiveBlood-brain barrier (BBB) permeability has been proposed as a predictor of hemorrhagic transformation (HT) after tissue plasminogen activator (tPA) administration; however, the reliability of perfusion computed tomography (PCT) permeability imaging for predicting HT is uncertain.We aimed to determine the performance of high-permeability region size on PCT (HPrs-PCT) in predicting HT after intravenous tPA administration in patients with acute stroke.MethodsWe performed a multimodal CT protocol (non-con… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
16
0

Year Published

2018
2018
2022
2022

Publication Types

Select...
10

Relationship

0
10

Authors

Journals

citations
Cited by 16 publications
(17 citation statements)
references
References 32 publications
1
16
0
Order By: Relevance
“…Perfusion CT can also generate BBBP maps that can help in the identification of patients at risk of HT ( 65 , 171 , 172 ), but its relevance compared to other predictors has been contested ( 173 ).…”
Section: Blood–barrier Permeability Evaluation In the Early Detectionmentioning
confidence: 99%
“…Perfusion CT can also generate BBBP maps that can help in the identification of patients at risk of HT ( 65 , 171 , 172 ), but its relevance compared to other predictors has been contested ( 173 ).…”
Section: Blood–barrier Permeability Evaluation In the Early Detectionmentioning
confidence: 99%
“…Five studies were found as having a low risk of bias ( 15 , 21 , 23 , 24 , 26 ), seven a high risk ( 13 , 17 20 , 22 , 25 ), and two an unclear risk ( 14 , 16 ) ( Supplemental Table 1 ). The general clinical characteristics of the included studies evaluating BBB with CT are summarized in the Supplemental Table 2 .…”
Section: Resultsmentioning
confidence: 99%
“…2 mL/100 g for the penumbra). [16][17][18] CTA original images were analyzed by AVA software to reveal the presence, etiology, and site of occlusion, and we obtain vascular volume rendering (VR), maximum intensity projection (MIP), multiplanar reformation (MPR), and collateral filling data. We reported the number of patients with large artery occlusion in sICH group and non-sICH group, and classified patients in four types according to occlusion site: ACA, MCA, posterior cerebral artery (PCA), and other intracranial arteries (Others).…”
Section: Imaging Postprocessingmentioning
confidence: 99%