Literature DB >> 30818076

Accuracy of swirl sign for predicting hematoma enlargement in intracerebral hemorrhage: a meta-analysis.

Zhiyuan Yu1, Jun Zheng1, Maiyue He2, Rui Guo1, Lu Ma1, Chao You1, Hao Li3.   

Abstract

BACKGROUND: Hematoma enlargement happens in about 30% patients with intracerebral hemorrhage, which is reported to be closely correlated with poor prognosis. Swirl sign has been reported to have correlation with hematoma enlargement. This meta-analysis analyzed the accuracy of swirl sign for predicting hematoma enlargement in intracerebral hemorrhage.
METHODS: Five databases were searched for potentially eligible literature. Studies were included if they were about the predictive properties of swirl sign for hematoma enlargement in intracerebral hemorrhage. Sensitivity and specificity of swirl sign for hematoma enlargement prediction were pooled. Pooled positive and negative likelihood ratios were also calculated.
RESULTS: Six studies with 2647 patients were finally included in meta-analysis. The pooled sensitivity and specificity of swirl sign were 0.45 (95%CI 0.32-0.59) and 0.79 (95%CI 0.73-0.84), respectively. The pooled positive likelihood ratio of swirl sign was 2.2 (95%CI 1.8-2.5). In contrast, the pooled negative likelihood ratio of swirl sign was 0.69 (95%CI 0.57-0.84).
CONCLUSIONS: This meta-analysis suggests that swirl sign has the relatively high specificity for hematoma enlargement prediction in patients with intracerebral hemorrhage.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Hematoma enlargement; Intracerebral hemorrhage; Swirl sign

Mesh:

Year:  2019        PMID: 30818076     DOI: 10.1016/j.jns.2019.02.032

Source DB:  PubMed          Journal:  J Neurol Sci        ISSN: 0022-510X            Impact factor:   3.181


  6 in total

Review 1.  Advances in computed tomography-based prognostic methods for intracerebral hemorrhage.

Authors:  Xiaoyu Huang; Dan Wang; Shenglin Li; Qing Zhou; Junlin Zhou
Journal:  Neurosurg Rev       Date:  2022-02-28       Impact factor: 3.042

2.  A predictive nomogram for intracerebral hematoma expansion based on non-contrast computed tomography and clinical features.

Authors:  Xiuping Zhang; Qianqian Gao; Kaidong Chen; Qiuxiang Wu; Bixue Chen; Shangyu Zeng; Xiangming Fang
Journal:  Neuroradiology       Date:  2022-01-27       Impact factor: 2.995

3.  Noncontrast Computed Tomography-Based Radiomics Analysis in Discriminating Early Hematoma Expansion after Spontaneous Intracerebral Hemorrhage.

Authors:  Zuhua Song; Dajing Guo; Zhuoyue Tang; Huan Liu; Xin Li; Sha Luo; Xueying Yao; Wenlong Song; Junjie Song; Zhiming Zhou
Journal:  Korean J Radiol       Date:  2020-10-21       Impact factor: 3.500

4.  Radiomics for predicting revised hematoma expansion with the inclusion of intraventricular hemorrhage growth in patients with supratentorial spontaneous intraparenchymal hematomas.

Authors:  Xiaona Xia; Qingguo Ren; Jiufa Cui; Hao Dong; Zhaodi Huang; Qingjun Jiang; Shuai Guan; Chencui Huang; Jihan Yin; Jingxu Xu; Kongming Liang; Hao Wang; Kai Han; Xiangshui Meng
Journal:  Ann Transl Med       Date:  2022-01

5.  Early Prediction of Cerebral Computed Tomography under Intelligent Segmentation Algorithm Combined with Serological Indexes for Hematoma Enlargement after Intracerebral Hemorrhage.

Authors:  Wenting Xu; Weizhou Tang; Liangqun Wu; Qianzhu Jiang; Qiyuan Tian; Ce Wang; Lina Lu; Ying Kong
Journal:  Comput Math Methods Med       Date:  2022-06-14       Impact factor: 2.809

6.  Risk Factors for Postoperative Rebleeding and Short-Term Prognosis of Spontaneous Cerebellar Hemorrhage.

Authors:  Jun Shen; Xuefei Shao; Ruixiang Ge; Guangfu Di; Xiaochun Jiang
Journal:  Risk Manag Healthc Policy       Date:  2021-05-18
  6 in total

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