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Predictive accuracy of an ADC map for hemorrhagic transformation in acute ischemic stroke patients after successful recanalization with endovascular therapy

BACKGROUND: Hemorrhagic transformation (HT) of acute ischemic stroke (AIS) is associated with poor outcome. Previous studies only reported the association of mean ischemic severity or total infarct volume with HT after endovascular therapy (EVT). We aimed to investigate the predictive value of preop...

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Autores principales: Liu, Huan, Li, Tianxiao, Ding, Yonghong, Zhu, Liangfu, Hui, Ferdinand K., Zhou, Tengfei, Hernesniemi, Juha Antero, He, Yanyan, He, Yingkun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9201118/
https://www.ncbi.nlm.nih.gov/pubmed/35722434
http://dx.doi.org/10.21037/atm-22-2255
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author Liu, Huan
Li, Tianxiao
Ding, Yonghong
Zhu, Liangfu
Hui, Ferdinand K.
Zhou, Tengfei
Hernesniemi, Juha Antero
He, Yanyan
He, Yingkun
author_facet Liu, Huan
Li, Tianxiao
Ding, Yonghong
Zhu, Liangfu
Hui, Ferdinand K.
Zhou, Tengfei
Hernesniemi, Juha Antero
He, Yanyan
He, Yingkun
author_sort Liu, Huan
collection PubMed
description BACKGROUND: Hemorrhagic transformation (HT) of acute ischemic stroke (AIS) is associated with poor outcome. Previous studies only reported the association of mean ischemic severity or total infarct volume with HT after endovascular therapy (EVT). We aimed to investigate the predictive value of preoperative apparent diffusion coefficient (ADC) map for HT by combinated ischemic severity and corresponding volume in AIS after successful recanalization with EVT. METHODS: We retrospectively analyzed 119 consecutive cases of AIS with large vessel occlusion of anterior circulation within 24 hours after symptom onset and successful recanalization after EVT. All cases had baseline magnetic resonance imaging (MRI), follow-up computed tomography (CT), and magnetic resonance angiography (MRA) or computed tomography angiography (CTA). Volumes of ADC <0.6×10(−3), 0.5×10(−3), 0.4×10(−3), and 0.3×10(−3) mm(2)/s, baseline characteristics and outcomes of patients with and without HT identified by European Collaborative Acute Stroke Study (ECASS) were compared. The optimal ADC and volume threshold for predicting HT were analyzed using receiver operating characteristic (ROC) curve, and multivariate logistic regression analysis were performed with clinical characteristics and volumes of optimal ADC threshold to determine risk factors for HT. RESULTS: Among 119 patients, 42 patients had HT on follow-up CT, including 24 hemorrhagic infarct (HI) cases and 18 parenchymal hematoma (PH) cases. The optimal volumes were 6.46 mL with ADC <0.4×10(−3) mm(2)/s for predicting both HT and PH, with a larger area under curve (AUC) of 83.3% for HT than that for PH of 80%. In logistic regression analysis, intravenous tissue plasminogen activator (IV tPA) treatment, atrial fibrillation, and volume of ADC <0.4×10(−3) mm(2)/s were identified as independent predictors for HT and volume of ADC <0.4×10(−3) mm(2)/s had the highest odds ratio (OR) value. CONCLUSIONS: The combination of ischemic severity and corresponding volume in ADC map may predict HT after thrombectomy. In addition to the total infarct volume, volume with severe ischemia should be taken into consideration in preoperative patient selection.
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spelling pubmed-92011182022-06-17 Predictive accuracy of an ADC map for hemorrhagic transformation in acute ischemic stroke patients after successful recanalization with endovascular therapy Liu, Huan Li, Tianxiao Ding, Yonghong Zhu, Liangfu Hui, Ferdinand K. Zhou, Tengfei Hernesniemi, Juha Antero He, Yanyan He, Yingkun Ann Transl Med Original Article BACKGROUND: Hemorrhagic transformation (HT) of acute ischemic stroke (AIS) is associated with poor outcome. Previous studies only reported the association of mean ischemic severity or total infarct volume with HT after endovascular therapy (EVT). We aimed to investigate the predictive value of preoperative apparent diffusion coefficient (ADC) map for HT by combinated ischemic severity and corresponding volume in AIS after successful recanalization with EVT. METHODS: We retrospectively analyzed 119 consecutive cases of AIS with large vessel occlusion of anterior circulation within 24 hours after symptom onset and successful recanalization after EVT. All cases had baseline magnetic resonance imaging (MRI), follow-up computed tomography (CT), and magnetic resonance angiography (MRA) or computed tomography angiography (CTA). Volumes of ADC <0.6×10(−3), 0.5×10(−3), 0.4×10(−3), and 0.3×10(−3) mm(2)/s, baseline characteristics and outcomes of patients with and without HT identified by European Collaborative Acute Stroke Study (ECASS) were compared. The optimal ADC and volume threshold for predicting HT were analyzed using receiver operating characteristic (ROC) curve, and multivariate logistic regression analysis were performed with clinical characteristics and volumes of optimal ADC threshold to determine risk factors for HT. RESULTS: Among 119 patients, 42 patients had HT on follow-up CT, including 24 hemorrhagic infarct (HI) cases and 18 parenchymal hematoma (PH) cases. The optimal volumes were 6.46 mL with ADC <0.4×10(−3) mm(2)/s for predicting both HT and PH, with a larger area under curve (AUC) of 83.3% for HT than that for PH of 80%. In logistic regression analysis, intravenous tissue plasminogen activator (IV tPA) treatment, atrial fibrillation, and volume of ADC <0.4×10(−3) mm(2)/s were identified as independent predictors for HT and volume of ADC <0.4×10(−3) mm(2)/s had the highest odds ratio (OR) value. CONCLUSIONS: The combination of ischemic severity and corresponding volume in ADC map may predict HT after thrombectomy. In addition to the total infarct volume, volume with severe ischemia should be taken into consideration in preoperative patient selection. AME Publishing Company 2022-05 /pmc/articles/PMC9201118/ /pubmed/35722434 http://dx.doi.org/10.21037/atm-22-2255 Text en 2022 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Liu, Huan
Li, Tianxiao
Ding, Yonghong
Zhu, Liangfu
Hui, Ferdinand K.
Zhou, Tengfei
Hernesniemi, Juha Antero
He, Yanyan
He, Yingkun
Predictive accuracy of an ADC map for hemorrhagic transformation in acute ischemic stroke patients after successful recanalization with endovascular therapy
title Predictive accuracy of an ADC map for hemorrhagic transformation in acute ischemic stroke patients after successful recanalization with endovascular therapy
title_full Predictive accuracy of an ADC map for hemorrhagic transformation in acute ischemic stroke patients after successful recanalization with endovascular therapy
title_fullStr Predictive accuracy of an ADC map for hemorrhagic transformation in acute ischemic stroke patients after successful recanalization with endovascular therapy
title_full_unstemmed Predictive accuracy of an ADC map for hemorrhagic transformation in acute ischemic stroke patients after successful recanalization with endovascular therapy
title_short Predictive accuracy of an ADC map for hemorrhagic transformation in acute ischemic stroke patients after successful recanalization with endovascular therapy
title_sort predictive accuracy of an adc map for hemorrhagic transformation in acute ischemic stroke patients after successful recanalization with endovascular therapy
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9201118/
https://www.ncbi.nlm.nih.gov/pubmed/35722434
http://dx.doi.org/10.21037/atm-22-2255
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