Cargando…

CT perfusion based ASPECTS improves the diagnostic performance of early ischemic changes in large vessel occlusion

BACKGROUND: ASPECTS scoring method varies, but which one is most suitable for predicting the prognosis still unclear. We aimed to evaluate the diagnostic performance of Automated (Auto)-, noncontrast CT (NCCT)- and CT perfusion (CTP) -ASPECTS for early ischemic changes (EICs) in acute ischemic strok...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Tiegong, Chen, Luguang, Jin, Xianglan, Yuan, Yuan, Zhang, Qianwen, Shao, Chengwei, Lu, Jianping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8040219/
https://www.ncbi.nlm.nih.gov/pubmed/33845791
http://dx.doi.org/10.1186/s12880-021-00593-5
_version_ 1783677743188148224
author Wang, Tiegong
Chen, Luguang
Jin, Xianglan
Yuan, Yuan
Zhang, Qianwen
Shao, Chengwei
Lu, Jianping
author_facet Wang, Tiegong
Chen, Luguang
Jin, Xianglan
Yuan, Yuan
Zhang, Qianwen
Shao, Chengwei
Lu, Jianping
author_sort Wang, Tiegong
collection PubMed
description BACKGROUND: ASPECTS scoring method varies, but which one is most suitable for predicting the prognosis still unclear. We aimed to evaluate the diagnostic performance of Automated (Auto)-, noncontrast CT (NCCT)- and CT perfusion (CTP) -ASPECTS for early ischemic changes (EICs) in acute ischemic stroke patients with large vessel occlusion (LVO) and to explore which scoring method is most suitable for predicting the clinical outcome. METHODS: Eighty-one patients with anterior circulation LVO were retrospectively enrolled and grouped as having a good (0–2) or poor (3–6) clinical outcome using a 90-day modified Rankin Scale score. Clinical characteristics and perfusion parameters were compared between the patients with good and poor outcomes. Differences in scores obtained with the three scoring methods were assessed. Diagnosis performance and receiver operating characteristic (ROC) curves were used to evaluate the value of the three ordinal or dichotomized ASPECTS methods for predicting the clinical outcome. RESULTS: Sixty-three patients were finally included, with 36 (57.1%) patients having good clinical outcome. Significant differences were observed in the ordinal or dichotomized Auto-, NCCT- and CTP-ASPECTS between the patients with good and poor clinical outcomes (all p < 0.01). The areas under the curves (AUCs) of the ordinal and dichotomized CTP-ASPECTS were higher than that of the other two methods (all p < 0.01), but the AUCs of the Auto-ASPECTS was similar to that of the NCCT-ASPECTS (p > 0.05). CONCLUSIONS: The CTP-ASPECTS is superior to the Auto- and NCCT-ASPECTS in detecting EICs in LVO. CTP-ASPECTS with a cutoff value of 6 is a good predictor of the clinical outcome at 90-day follow-up.
format Online
Article
Text
id pubmed-8040219
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-80402192021-04-12 CT perfusion based ASPECTS improves the diagnostic performance of early ischemic changes in large vessel occlusion Wang, Tiegong Chen, Luguang Jin, Xianglan Yuan, Yuan Zhang, Qianwen Shao, Chengwei Lu, Jianping BMC Med Imaging Original Research BACKGROUND: ASPECTS scoring method varies, but which one is most suitable for predicting the prognosis still unclear. We aimed to evaluate the diagnostic performance of Automated (Auto)-, noncontrast CT (NCCT)- and CT perfusion (CTP) -ASPECTS for early ischemic changes (EICs) in acute ischemic stroke patients with large vessel occlusion (LVO) and to explore which scoring method is most suitable for predicting the clinical outcome. METHODS: Eighty-one patients with anterior circulation LVO were retrospectively enrolled and grouped as having a good (0–2) or poor (3–6) clinical outcome using a 90-day modified Rankin Scale score. Clinical characteristics and perfusion parameters were compared between the patients with good and poor outcomes. Differences in scores obtained with the three scoring methods were assessed. Diagnosis performance and receiver operating characteristic (ROC) curves were used to evaluate the value of the three ordinal or dichotomized ASPECTS methods for predicting the clinical outcome. RESULTS: Sixty-three patients were finally included, with 36 (57.1%) patients having good clinical outcome. Significant differences were observed in the ordinal or dichotomized Auto-, NCCT- and CTP-ASPECTS between the patients with good and poor clinical outcomes (all p < 0.01). The areas under the curves (AUCs) of the ordinal and dichotomized CTP-ASPECTS were higher than that of the other two methods (all p < 0.01), but the AUCs of the Auto-ASPECTS was similar to that of the NCCT-ASPECTS (p > 0.05). CONCLUSIONS: The CTP-ASPECTS is superior to the Auto- and NCCT-ASPECTS in detecting EICs in LVO. CTP-ASPECTS with a cutoff value of 6 is a good predictor of the clinical outcome at 90-day follow-up. BioMed Central 2021-04-12 /pmc/articles/PMC8040219/ /pubmed/33845791 http://dx.doi.org/10.1186/s12880-021-00593-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Original Research
Wang, Tiegong
Chen, Luguang
Jin, Xianglan
Yuan, Yuan
Zhang, Qianwen
Shao, Chengwei
Lu, Jianping
CT perfusion based ASPECTS improves the diagnostic performance of early ischemic changes in large vessel occlusion
title CT perfusion based ASPECTS improves the diagnostic performance of early ischemic changes in large vessel occlusion
title_full CT perfusion based ASPECTS improves the diagnostic performance of early ischemic changes in large vessel occlusion
title_fullStr CT perfusion based ASPECTS improves the diagnostic performance of early ischemic changes in large vessel occlusion
title_full_unstemmed CT perfusion based ASPECTS improves the diagnostic performance of early ischemic changes in large vessel occlusion
title_short CT perfusion based ASPECTS improves the diagnostic performance of early ischemic changes in large vessel occlusion
title_sort ct perfusion based aspects improves the diagnostic performance of early ischemic changes in large vessel occlusion
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8040219/
https://www.ncbi.nlm.nih.gov/pubmed/33845791
http://dx.doi.org/10.1186/s12880-021-00593-5
work_keys_str_mv AT wangtiegong ctperfusionbasedaspectsimprovesthediagnosticperformanceofearlyischemicchangesinlargevesselocclusion
AT chenluguang ctperfusionbasedaspectsimprovesthediagnosticperformanceofearlyischemicchangesinlargevesselocclusion
AT jinxianglan ctperfusionbasedaspectsimprovesthediagnosticperformanceofearlyischemicchangesinlargevesselocclusion
AT yuanyuan ctperfusionbasedaspectsimprovesthediagnosticperformanceofearlyischemicchangesinlargevesselocclusion
AT zhangqianwen ctperfusionbasedaspectsimprovesthediagnosticperformanceofearlyischemicchangesinlargevesselocclusion
AT shaochengwei ctperfusionbasedaspectsimprovesthediagnosticperformanceofearlyischemicchangesinlargevesselocclusion
AT lujianping ctperfusionbasedaspectsimprovesthediagnosticperformanceofearlyischemicchangesinlargevesselocclusion