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Permeability Measures Predict Hemorrhagic Transformation after Ischemic Stroke
OBJECTIVE: We sought to examine the diagnostic utility of existing predictors of any hemorrhagic transformation (HT) and compare them with new perfusion imaging permeability measures in ischemic stroke patients receiving alteplase only. METHODS: A pixel‐based analysis of pretreatment CT perfusion (C...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Ltd
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7496077/ https://www.ncbi.nlm.nih.gov/pubmed/32418242 http://dx.doi.org/10.1002/ana.25785 |
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author | Bivard, Andrew Kleinig, Timothy Churilov, Leonid Levi, Christopher Lin, Longting Cheng, Xin Chen, Chushuang Aviv, Richard Choi, Philip M. C. Spratt, Neil J. Butcher, Kenneth Dong, Qiang Parsons, Mark |
author_facet | Bivard, Andrew Kleinig, Timothy Churilov, Leonid Levi, Christopher Lin, Longting Cheng, Xin Chen, Chushuang Aviv, Richard Choi, Philip M. C. Spratt, Neil J. Butcher, Kenneth Dong, Qiang Parsons, Mark |
author_sort | Bivard, Andrew |
collection | PubMed |
description | OBJECTIVE: We sought to examine the diagnostic utility of existing predictors of any hemorrhagic transformation (HT) and compare them with new perfusion imaging permeability measures in ischemic stroke patients receiving alteplase only. METHODS: A pixel‐based analysis of pretreatment CT perfusion (CTP) was undertaken to define the optimal CTP permeability thresholds to predict the likelihood of HT. We then compared previously proposed predictors of HT using regression analyses and receiver operating characteristic curve analysis to produce an area under the curve (AUC). We compared AUCs using χ(2) analysis. RESULTS: From 5 centers, 1,407 patients were included in this study; of these, 282 had HT. The cohort was split into a derivation cohort (1,025, 70% patients) and a validation cohort (382 patients or 30%). The extraction fraction (E) permeability map at a threshold of 30% relative to contralateral had the highest AUC at predicting any HT (derivation AUC 0.85, 95% confidence interval [CI], 0.79–0.91; validation AUC 0.84, 95% CI 0.77–0.91). The AUC improved when permeability was assessed within the acute perfusion lesion for the E maps at a threshold of 30% (derivation AUC 0.91, 95% CI 0.86–0.95; validation AUC 0.89, 95% CI 0.86–0.95). Previously proposed associations with HT and parenchymal hematoma showed lower AUC values than the permeability measure. INTERPRETATION: In this large multicenter study, we have validated a highly accurate measure of HT prediction. This measure might be useful in clinical practice to predict hemorrhagic transformation in ischemic stroke patients before receiving alteplase alone. ANN NEUROL 2020;88:466–476 |
format | Online Article Text |
id | pubmed-7496077 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley & Sons, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-74960772020-09-25 Permeability Measures Predict Hemorrhagic Transformation after Ischemic Stroke Bivard, Andrew Kleinig, Timothy Churilov, Leonid Levi, Christopher Lin, Longting Cheng, Xin Chen, Chushuang Aviv, Richard Choi, Philip M. C. Spratt, Neil J. Butcher, Kenneth Dong, Qiang Parsons, Mark Ann Neurol Research Articles OBJECTIVE: We sought to examine the diagnostic utility of existing predictors of any hemorrhagic transformation (HT) and compare them with new perfusion imaging permeability measures in ischemic stroke patients receiving alteplase only. METHODS: A pixel‐based analysis of pretreatment CT perfusion (CTP) was undertaken to define the optimal CTP permeability thresholds to predict the likelihood of HT. We then compared previously proposed predictors of HT using regression analyses and receiver operating characteristic curve analysis to produce an area under the curve (AUC). We compared AUCs using χ(2) analysis. RESULTS: From 5 centers, 1,407 patients were included in this study; of these, 282 had HT. The cohort was split into a derivation cohort (1,025, 70% patients) and a validation cohort (382 patients or 30%). The extraction fraction (E) permeability map at a threshold of 30% relative to contralateral had the highest AUC at predicting any HT (derivation AUC 0.85, 95% confidence interval [CI], 0.79–0.91; validation AUC 0.84, 95% CI 0.77–0.91). The AUC improved when permeability was assessed within the acute perfusion lesion for the E maps at a threshold of 30% (derivation AUC 0.91, 95% CI 0.86–0.95; validation AUC 0.89, 95% CI 0.86–0.95). Previously proposed associations with HT and parenchymal hematoma showed lower AUC values than the permeability measure. INTERPRETATION: In this large multicenter study, we have validated a highly accurate measure of HT prediction. This measure might be useful in clinical practice to predict hemorrhagic transformation in ischemic stroke patients before receiving alteplase alone. ANN NEUROL 2020;88:466–476 John Wiley & Sons, Ltd 2020-08-10 2020-09 /pmc/articles/PMC7496077/ /pubmed/32418242 http://dx.doi.org/10.1002/ana.25785 Text en © 2020 The Authors. Annals of Neurology published by Wiley Periodicals LLC on behalf of American Neurological Association. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Research Articles Bivard, Andrew Kleinig, Timothy Churilov, Leonid Levi, Christopher Lin, Longting Cheng, Xin Chen, Chushuang Aviv, Richard Choi, Philip M. C. Spratt, Neil J. Butcher, Kenneth Dong, Qiang Parsons, Mark Permeability Measures Predict Hemorrhagic Transformation after Ischemic Stroke |
title | Permeability Measures Predict Hemorrhagic Transformation after Ischemic Stroke |
title_full | Permeability Measures Predict Hemorrhagic Transformation after Ischemic Stroke |
title_fullStr | Permeability Measures Predict Hemorrhagic Transformation after Ischemic Stroke |
title_full_unstemmed | Permeability Measures Predict Hemorrhagic Transformation after Ischemic Stroke |
title_short | Permeability Measures Predict Hemorrhagic Transformation after Ischemic Stroke |
title_sort | permeability measures predict hemorrhagic transformation after ischemic stroke |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7496077/ https://www.ncbi.nlm.nih.gov/pubmed/32418242 http://dx.doi.org/10.1002/ana.25785 |
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