Cargando…
Cerebral Blood Volume ASPECTS Is the Best Predictor of Clinical Outcome in Acute Ischemic Stroke: A Retrospective, Combined Semi-Quantitative and Quantitative Assessment
INTRODUCTION: The capability of CT perfusion (CTP) Alberta Stroke Program Early CT Score (ASPECTS) to predict outcome and identify ischemia severity in acute ischemic stroke (AIS) patients is still questioned. METHODS: 62 patients with AIS were imaged within 8 hours of symptom onset by non-contrast...
Autores principales: | , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4732987/ https://www.ncbi.nlm.nih.gov/pubmed/26824672 http://dx.doi.org/10.1371/journal.pone.0147910 |
_version_ | 1782412774370967552 |
---|---|
author | Padroni, Marina Bernardoni, Andrea Tamborino, Carmine Roversi, Gloria Borrelli, Massimo Saletti, Andrea De Vito, Alessandro Azzini, Cristiano Borgatti, Luca Marcello, Onofrio d’Esterre, Christopher Ceruti, Stefano Casetta, Ilaria Lee, Ting-Yim Fainardi, Enrico |
author_facet | Padroni, Marina Bernardoni, Andrea Tamborino, Carmine Roversi, Gloria Borrelli, Massimo Saletti, Andrea De Vito, Alessandro Azzini, Cristiano Borgatti, Luca Marcello, Onofrio d’Esterre, Christopher Ceruti, Stefano Casetta, Ilaria Lee, Ting-Yim Fainardi, Enrico |
author_sort | Padroni, Marina |
collection | PubMed |
description | INTRODUCTION: The capability of CT perfusion (CTP) Alberta Stroke Program Early CT Score (ASPECTS) to predict outcome and identify ischemia severity in acute ischemic stroke (AIS) patients is still questioned. METHODS: 62 patients with AIS were imaged within 8 hours of symptom onset by non-contrast CT, CT angiography and CTP scans at admission and 24 hours. CTP ASPECTS was calculated on the affected hemisphere using cerebral blood flow (CBF), cerebral blood volume (CBV) and mean transit time (MTT) maps by subtracting 1 point for any abnormalities visually detected or measured within multiple cortical circular regions of interest according to previously established thresholds. MTT-CBV ASPECTS was considered as CTP ASPECTS mismatch. Hemorrhagic transformation (HT), recanalization status and reperfusion grade at 24 hours, final infarct volume at 7 days and modified Rankin scale (mRS) at 3 months after onset were recorded. RESULTS: Semi-quantitative and quantitative CTP ASPECTS were highly correlated (p<0.00001). CBF, CBV and MTT ASPECTS were higher in patients with no HT and mRS≤2 and inversely associated with final infarct volume and mRS (p values: from p<0.05 to p<0.00001). CTP ASPECTS mismatch was slightly associated with radiological and clinical outcomes (p values: from p<0.05 to p<0.02) only if evaluated quantitatively. A CBV ASPECTS of 9 was the optimal semi-quantitative value for predicting outcome. CONCLUSIONS: Our findings suggest that visual inspection of CTP ASPECTS recognizes infarct and ischemic absolute values. Semi-quantitative CBV ASPECTS, but not CTP ASPECTS mismatch, represents a strong prognostic indicator, implying that core extent is the main determinant of outcome, irrespective of penumbra size. |
format | Online Article Text |
id | pubmed-4732987 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-47329872016-02-04 Cerebral Blood Volume ASPECTS Is the Best Predictor of Clinical Outcome in Acute Ischemic Stroke: A Retrospective, Combined Semi-Quantitative and Quantitative Assessment Padroni, Marina Bernardoni, Andrea Tamborino, Carmine Roversi, Gloria Borrelli, Massimo Saletti, Andrea De Vito, Alessandro Azzini, Cristiano Borgatti, Luca Marcello, Onofrio d’Esterre, Christopher Ceruti, Stefano Casetta, Ilaria Lee, Ting-Yim Fainardi, Enrico PLoS One Research Article INTRODUCTION: The capability of CT perfusion (CTP) Alberta Stroke Program Early CT Score (ASPECTS) to predict outcome and identify ischemia severity in acute ischemic stroke (AIS) patients is still questioned. METHODS: 62 patients with AIS were imaged within 8 hours of symptom onset by non-contrast CT, CT angiography and CTP scans at admission and 24 hours. CTP ASPECTS was calculated on the affected hemisphere using cerebral blood flow (CBF), cerebral blood volume (CBV) and mean transit time (MTT) maps by subtracting 1 point for any abnormalities visually detected or measured within multiple cortical circular regions of interest according to previously established thresholds. MTT-CBV ASPECTS was considered as CTP ASPECTS mismatch. Hemorrhagic transformation (HT), recanalization status and reperfusion grade at 24 hours, final infarct volume at 7 days and modified Rankin scale (mRS) at 3 months after onset were recorded. RESULTS: Semi-quantitative and quantitative CTP ASPECTS were highly correlated (p<0.00001). CBF, CBV and MTT ASPECTS were higher in patients with no HT and mRS≤2 and inversely associated with final infarct volume and mRS (p values: from p<0.05 to p<0.00001). CTP ASPECTS mismatch was slightly associated with radiological and clinical outcomes (p values: from p<0.05 to p<0.02) only if evaluated quantitatively. A CBV ASPECTS of 9 was the optimal semi-quantitative value for predicting outcome. CONCLUSIONS: Our findings suggest that visual inspection of CTP ASPECTS recognizes infarct and ischemic absolute values. Semi-quantitative CBV ASPECTS, but not CTP ASPECTS mismatch, represents a strong prognostic indicator, implying that core extent is the main determinant of outcome, irrespective of penumbra size. Public Library of Science 2016-01-29 /pmc/articles/PMC4732987/ /pubmed/26824672 http://dx.doi.org/10.1371/journal.pone.0147910 Text en © 2016 Padroni et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Padroni, Marina Bernardoni, Andrea Tamborino, Carmine Roversi, Gloria Borrelli, Massimo Saletti, Andrea De Vito, Alessandro Azzini, Cristiano Borgatti, Luca Marcello, Onofrio d’Esterre, Christopher Ceruti, Stefano Casetta, Ilaria Lee, Ting-Yim Fainardi, Enrico Cerebral Blood Volume ASPECTS Is the Best Predictor of Clinical Outcome in Acute Ischemic Stroke: A Retrospective, Combined Semi-Quantitative and Quantitative Assessment |
title | Cerebral Blood Volume ASPECTS Is the Best Predictor of Clinical Outcome in Acute Ischemic Stroke: A Retrospective, Combined Semi-Quantitative and Quantitative Assessment |
title_full | Cerebral Blood Volume ASPECTS Is the Best Predictor of Clinical Outcome in Acute Ischemic Stroke: A Retrospective, Combined Semi-Quantitative and Quantitative Assessment |
title_fullStr | Cerebral Blood Volume ASPECTS Is the Best Predictor of Clinical Outcome in Acute Ischemic Stroke: A Retrospective, Combined Semi-Quantitative and Quantitative Assessment |
title_full_unstemmed | Cerebral Blood Volume ASPECTS Is the Best Predictor of Clinical Outcome in Acute Ischemic Stroke: A Retrospective, Combined Semi-Quantitative and Quantitative Assessment |
title_short | Cerebral Blood Volume ASPECTS Is the Best Predictor of Clinical Outcome in Acute Ischemic Stroke: A Retrospective, Combined Semi-Quantitative and Quantitative Assessment |
title_sort | cerebral blood volume aspects is the best predictor of clinical outcome in acute ischemic stroke: a retrospective, combined semi-quantitative and quantitative assessment |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4732987/ https://www.ncbi.nlm.nih.gov/pubmed/26824672 http://dx.doi.org/10.1371/journal.pone.0147910 |
work_keys_str_mv | AT padronimarina cerebralbloodvolumeaspectsisthebestpredictorofclinicaloutcomeinacuteischemicstrokearetrospectivecombinedsemiquantitativeandquantitativeassessment AT bernardoniandrea cerebralbloodvolumeaspectsisthebestpredictorofclinicaloutcomeinacuteischemicstrokearetrospectivecombinedsemiquantitativeandquantitativeassessment AT tamborinocarmine cerebralbloodvolumeaspectsisthebestpredictorofclinicaloutcomeinacuteischemicstrokearetrospectivecombinedsemiquantitativeandquantitativeassessment AT roversigloria cerebralbloodvolumeaspectsisthebestpredictorofclinicaloutcomeinacuteischemicstrokearetrospectivecombinedsemiquantitativeandquantitativeassessment AT borrellimassimo cerebralbloodvolumeaspectsisthebestpredictorofclinicaloutcomeinacuteischemicstrokearetrospectivecombinedsemiquantitativeandquantitativeassessment AT salettiandrea cerebralbloodvolumeaspectsisthebestpredictorofclinicaloutcomeinacuteischemicstrokearetrospectivecombinedsemiquantitativeandquantitativeassessment AT devitoalessandro cerebralbloodvolumeaspectsisthebestpredictorofclinicaloutcomeinacuteischemicstrokearetrospectivecombinedsemiquantitativeandquantitativeassessment AT azzinicristiano cerebralbloodvolumeaspectsisthebestpredictorofclinicaloutcomeinacuteischemicstrokearetrospectivecombinedsemiquantitativeandquantitativeassessment AT borgattiluca cerebralbloodvolumeaspectsisthebestpredictorofclinicaloutcomeinacuteischemicstrokearetrospectivecombinedsemiquantitativeandquantitativeassessment AT marcelloonofrio cerebralbloodvolumeaspectsisthebestpredictorofclinicaloutcomeinacuteischemicstrokearetrospectivecombinedsemiquantitativeandquantitativeassessment AT desterrechristopher cerebralbloodvolumeaspectsisthebestpredictorofclinicaloutcomeinacuteischemicstrokearetrospectivecombinedsemiquantitativeandquantitativeassessment AT cerutistefano cerebralbloodvolumeaspectsisthebestpredictorofclinicaloutcomeinacuteischemicstrokearetrospectivecombinedsemiquantitativeandquantitativeassessment AT casettailaria cerebralbloodvolumeaspectsisthebestpredictorofclinicaloutcomeinacuteischemicstrokearetrospectivecombinedsemiquantitativeandquantitativeassessment AT leetingyim cerebralbloodvolumeaspectsisthebestpredictorofclinicaloutcomeinacuteischemicstrokearetrospectivecombinedsemiquantitativeandquantitativeassessment AT fainardienrico cerebralbloodvolumeaspectsisthebestpredictorofclinicaloutcomeinacuteischemicstrokearetrospectivecombinedsemiquantitativeandquantitativeassessment |