Cargando…

Perfusion-Weighted MRI Parameters for Prediction of Early Progressive Infarction in Middle Cerebral Artery Occlusion

OBJECTIVE: Early progressive infarction (EPI) is frequently observed and related to poor functional outcome in patients with middle cerebral artery (MCA) infarction caused by MCA occlusion. We evaluated the perfusion parameters of magnetic resonance imaging (MRI) as a predictor of EPI. METHODS: We r...

Descripción completa

Detalles Bibliográficos
Autores principales: Kim, Hoon, Kim, Yerim, Kim, Young Woo, Kim, Seong Rim, Yang, Seung Ho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Neurosurgical Society 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4954881/
https://www.ncbi.nlm.nih.gov/pubmed/27446514
http://dx.doi.org/10.3340/jkns.2016.59.4.346
_version_ 1782443850055286784
author Kim, Hoon
Kim, Yerim
Kim, Young Woo
Kim, Seong Rim
Yang, Seung Ho
author_facet Kim, Hoon
Kim, Yerim
Kim, Young Woo
Kim, Seong Rim
Yang, Seung Ho
author_sort Kim, Hoon
collection PubMed
description OBJECTIVE: Early progressive infarction (EPI) is frequently observed and related to poor functional outcome in patients with middle cerebral artery (MCA) infarction caused by MCA occlusion. We evaluated the perfusion parameters of magnetic resonance imaging (MRI) as a predictor of EPI. METHODS: We retrospectively analyzed patients with acute MCA territory infarction caused by MCA occlusion. EPI was defined as a National Institutes of Health Stroke Scale increment ≥2 points during 24 hours despite receiving standard treatment. Regional parameter ratios, such as cerebral blood flow and volume (rCBV) ratio (ipsilateral value/contralateral value) on perfusion MRI were analyzed to investigate the association with EPI. RESULTS: Sixty-four patients were enrolled in total. EPI was present in 18 (28%) subjects and all EPI occurred within 3 days after hospitalization. Diabetes mellitus, rCBV ratio and regional time to peak (rTTP) ratio showed statically significant differences in both groups. Multi-variate analysis indicated that history of diabetes mellitus [odds ratio (OR), 6.13; 95% confidence interval (CI), 1.55–24.24] and a low rCBV ratio (rCBV, <0.85; OR, 6.57; 95% CI, 1.4–30.27) was significantly correlated with EPI. CONCLUSION: The incidence of EPI is considerable in patients with acute MCA territory infarction caused by MCA occlusion. We suggest that rCBV ratio is a useful neuro-imaging parameter to predict EPI.
format Online
Article
Text
id pubmed-4954881
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher The Korean Neurosurgical Society
record_format MEDLINE/PubMed
spelling pubmed-49548812016-07-21 Perfusion-Weighted MRI Parameters for Prediction of Early Progressive Infarction in Middle Cerebral Artery Occlusion Kim, Hoon Kim, Yerim Kim, Young Woo Kim, Seong Rim Yang, Seung Ho J Korean Neurosurg Soc Clinical Article OBJECTIVE: Early progressive infarction (EPI) is frequently observed and related to poor functional outcome in patients with middle cerebral artery (MCA) infarction caused by MCA occlusion. We evaluated the perfusion parameters of magnetic resonance imaging (MRI) as a predictor of EPI. METHODS: We retrospectively analyzed patients with acute MCA territory infarction caused by MCA occlusion. EPI was defined as a National Institutes of Health Stroke Scale increment ≥2 points during 24 hours despite receiving standard treatment. Regional parameter ratios, such as cerebral blood flow and volume (rCBV) ratio (ipsilateral value/contralateral value) on perfusion MRI were analyzed to investigate the association with EPI. RESULTS: Sixty-four patients were enrolled in total. EPI was present in 18 (28%) subjects and all EPI occurred within 3 days after hospitalization. Diabetes mellitus, rCBV ratio and regional time to peak (rTTP) ratio showed statically significant differences in both groups. Multi-variate analysis indicated that history of diabetes mellitus [odds ratio (OR), 6.13; 95% confidence interval (CI), 1.55–24.24] and a low rCBV ratio (rCBV, <0.85; OR, 6.57; 95% CI, 1.4–30.27) was significantly correlated with EPI. CONCLUSION: The incidence of EPI is considerable in patients with acute MCA territory infarction caused by MCA occlusion. We suggest that rCBV ratio is a useful neuro-imaging parameter to predict EPI. The Korean Neurosurgical Society 2016-07 2016-07-08 /pmc/articles/PMC4954881/ /pubmed/27446514 http://dx.doi.org/10.3340/jkns.2016.59.4.346 Text en Copyright © 2016 The Korean Neurosurgical Society http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Clinical Article
Kim, Hoon
Kim, Yerim
Kim, Young Woo
Kim, Seong Rim
Yang, Seung Ho
Perfusion-Weighted MRI Parameters for Prediction of Early Progressive Infarction in Middle Cerebral Artery Occlusion
title Perfusion-Weighted MRI Parameters for Prediction of Early Progressive Infarction in Middle Cerebral Artery Occlusion
title_full Perfusion-Weighted MRI Parameters for Prediction of Early Progressive Infarction in Middle Cerebral Artery Occlusion
title_fullStr Perfusion-Weighted MRI Parameters for Prediction of Early Progressive Infarction in Middle Cerebral Artery Occlusion
title_full_unstemmed Perfusion-Weighted MRI Parameters for Prediction of Early Progressive Infarction in Middle Cerebral Artery Occlusion
title_short Perfusion-Weighted MRI Parameters for Prediction of Early Progressive Infarction in Middle Cerebral Artery Occlusion
title_sort perfusion-weighted mri parameters for prediction of early progressive infarction in middle cerebral artery occlusion
topic Clinical Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4954881/
https://www.ncbi.nlm.nih.gov/pubmed/27446514
http://dx.doi.org/10.3340/jkns.2016.59.4.346
work_keys_str_mv AT kimhoon perfusionweightedmriparametersforpredictionofearlyprogressiveinfarctioninmiddlecerebralarteryocclusion
AT kimyerim perfusionweightedmriparametersforpredictionofearlyprogressiveinfarctioninmiddlecerebralarteryocclusion
AT kimyoungwoo perfusionweightedmriparametersforpredictionofearlyprogressiveinfarctioninmiddlecerebralarteryocclusion
AT kimseongrim perfusionweightedmriparametersforpredictionofearlyprogressiveinfarctioninmiddlecerebralarteryocclusion
AT yangseungho perfusionweightedmriparametersforpredictionofearlyprogressiveinfarctioninmiddlecerebralarteryocclusion