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

Authors :
Puig J
Blasco G
Daunis-I-Estadella P
van Eendendburg C
Carrillo-García M
Aboud C
Hernández-Pérez M
Serena J
Biarnés C
Nael K
Liebeskind DS
Thomalla G
Menon BK
Demchuk A
Wintermark M
Pedraza S
Castellanos M
Source :
PloS one [PLoS One] 2017 Nov 28; Vol. 12 (11), pp. e0188238. Date of Electronic Publication: 2017 Nov 28 (Print Publication: 2017).
Publication Year :
2017

Abstract

Objective: Blood-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.<br />Methods: We performed a multimodal CT protocol (non-contrast CT, PCT, CT angiography) to prospectively study patients with middle cerebral artery occlusion treated with tPA within 4.5 hours of symptom onset. HT was graded at 24 hours using the European-Australasian Acute Stroke Study II criteria. ROC curves selected optimal volume threshold, and multivariate logistic regression analysis identified predictors of HT.<br />Results: The study included 156 patients (50% male, median age 75.5 years). Thirty-seven (23,7%) developed HT [12 (7,7%), parenchymal hematoma type 2 (PH-2)]. At admission, patients with HT had lower platelet values, higher NIHSS scores, increased ischemic lesion volumes, larger HPrs-PCT, and poorer collateral status. The negative predictive value of HPrs-PCT at a threshold of 7mL/100g/min was 0.84 for HT and 0.93 for PH-2. The multiple regression analysis selected HPrs-PCT at 7mL/100g/min combined with platelets and baseline NIHSS score as the best model for predicting HT (AUC 0.77). HPrs-PCT at 7mL/100g/min was the only independent predictor of PH-2 (OR 1, AUC 0.68, p = 0.045).<br />Conclusions: HPrs-PCT can help predict HT after tPA, and is particularly useful in identifying patients at low risk of developing HT.

Details

Language :
English
ISSN :
1932-6203
Volume :
12
Issue :
11
Database :
MEDLINE
Journal :
PloS one
Publication Type :
Academic Journal
Accession number :
29182658
Full Text :
https://doi.org/10.1371/journal.pone.0188238