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

Standard

High-permeability region size on perfusion CT predicts hemorrhagic transformation after intravenous thrombolysis in stroke. / Puig, Josep; Blasco, Gerard; Daunis-I-Estadella, Pepus; van Eendendburg, Cecile; Carrillo-García, María; Aboud, Carlos; Hernández-Pérez, María; Serena, Joaquín; Biarnés, Carles; Nael, Kambiz; Liebeskind, David S; Thomalla, Götz; Menon, Bijoy K; Demchuk, Andrew; Wintermark, Max; Pedraza, Salvador; Castellanos, Mar.

In: PLOS ONE, Vol. 12, No. 11, 2017, p. e0188238.

Research output: SCORING: Contribution to journalSCORING: Journal articleResearchpeer-review

Harvard

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 2017, 'High-permeability region size on perfusion CT predicts hemorrhagic transformation after intravenous thrombolysis in stroke', PLOS ONE, vol. 12, no. 11, pp. e0188238. https://doi.org/10.1371/journal.pone.0188238

APA

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, D. S., Thomalla, G., Menon, B. K., Demchuk, A., Wintermark, M., Pedraza, S., & Castellanos, M. (2017). High-permeability region size on perfusion CT predicts hemorrhagic transformation after intravenous thrombolysis in stroke. PLOS ONE, 12(11), e0188238. https://doi.org/10.1371/journal.pone.0188238

Vancouver

Puig J, Blasco G, Daunis-I-Estadella P, van Eendendburg C, Carrillo-García M, Aboud C et al. High-permeability region size on perfusion CT predicts hemorrhagic transformation after intravenous thrombolysis in stroke. PLOS ONE. 2017;12(11):e0188238. https://doi.org/10.1371/journal.pone.0188238

Bibtex

@article{e249c0dd28874151b7ec4a8a587029ef,
title = "High-permeability region size on perfusion CT predicts hemorrhagic transformation after intravenous thrombolysis in stroke",
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.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.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).CONCLUSIONS: HPrs-PCT can help predict HT after tPA, and is particularly useful in identifying patients at low risk of developing HT.",
keywords = "Aged, Aged, 80 and over, Female, Humans, Male, Stroke, Thrombolytic Therapy, Tomography, X-Ray Computed, Journal Article",
author = "Josep Puig and Gerard Blasco and Pepus Daunis-I-Estadella and {van Eendendburg}, Cecile and Mar{\'i}a Carrillo-Garc{\'i}a and Carlos Aboud and Mar{\'i}a Hern{\'a}ndez-P{\'e}rez and Joaqu{\'i}n Serena and Carles Biarn{\'e}s and Kambiz Nael and Liebeskind, {David S} and G{\"o}tz Thomalla and Menon, {Bijoy K} and Andrew Demchuk and Max Wintermark and Salvador Pedraza and Mar Castellanos",
year = "2017",
doi = "10.1371/journal.pone.0188238",
language = "English",
volume = "12",
pages = "e0188238",
journal = "PLOS ONE",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "11",

}

RIS

TY - JOUR

T1 - High-permeability region size on perfusion CT predicts hemorrhagic transformation after intravenous thrombolysis in stroke

AU - Puig, Josep

AU - Blasco, Gerard

AU - Daunis-I-Estadella, Pepus

AU - van Eendendburg, Cecile

AU - Carrillo-García, María

AU - Aboud, Carlos

AU - Hernández-Pérez, María

AU - Serena, Joaquín

AU - Biarnés, Carles

AU - Nael, Kambiz

AU - Liebeskind, David S

AU - Thomalla, Götz

AU - Menon, Bijoy K

AU - Demchuk, Andrew

AU - Wintermark, Max

AU - Pedraza, Salvador

AU - Castellanos, Mar

PY - 2017

Y1 - 2017

N2 - 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.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.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).CONCLUSIONS: HPrs-PCT can help predict HT after tPA, and is particularly useful in identifying patients at low risk of developing HT.

AB - 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.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.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).CONCLUSIONS: HPrs-PCT can help predict HT after tPA, and is particularly useful in identifying patients at low risk of developing HT.

KW - Aged

KW - Aged, 80 and over

KW - Female

KW - Humans

KW - Male

KW - Stroke

KW - Thrombolytic Therapy

KW - Tomography, X-Ray Computed

KW - Journal Article

U2 - 10.1371/journal.pone.0188238

DO - 10.1371/journal.pone.0188238

M3 - SCORING: Journal article

C2 - 29182658

VL - 12

SP - e0188238

JO - PLOS ONE

JF - PLOS ONE

SN - 1932-6203

IS - 11

ER -