Hematoma Heterogeneity on Noncontrast Computed Tomography Predicts Intracerebral Hematoma Expansion: A Meta-Analysis

2018 ◽  
Vol 114 ◽  
pp. e663-e676 ◽  
Author(s):  
Danfeng Zhang ◽  
Jigang Chen ◽  
Jiaming Guo ◽  
Ying Jiang ◽  
Yan Dong ◽  
...  
2021 ◽  
pp. 174749302110616
Author(s):  
Arba Francesco ◽  
Rinaldi Chiara ◽  
Boulouis Gregoire ◽  
Fainardi Enrico ◽  
Charidimou Andreas ◽  
...  

Background and purpose Assess the diagnostic accuracy of noncontrast computed tomography (NCCT) markers of hematoma expansion in patients with primary intracerebral hemorrhage. Methods We performed a meta-analysis of observational studies and randomized controlled trials with available data for calculation of sensitivity and specificity of NCCT markers for hematoma expansion (absolute growth >6 or 12.5 mL and/or relative growth >33%). The following NCCT markers were analyzed: irregular shape, island sign (shape-related features); hypodensity, heterogeneous density, blend sign, black hole sign, and swirl sign (density-related features). Pooled accuracy values for each marker were derived from hierarchical logistic regression models. Results A total of 10,363 subjects from 23 eligible studies were included. Significant risk of bias of included studies was noted. Hematoma expansion frequency ranged from 7% to 40%, mean intracerebral hemorrhage volume from 9 to 27.8 ml, presence of NCCT markers from 9% (island sign) to 82% (irregular shape). Among shape features, sensitivity ranged from 0.32 (95%CI = 0.20–0.47) for island sign to 0.68 (95%CI = 0.57–0.77) for irregular shape, specificity ranged from 0.47 (95%CI = 0.36–0.59) for irregular shape to 0.92 (95%CI = 0.85–0.96) for island sign; among density features sensitivity ranged from 0.28 (95%CI = 0.21–0.35) for black hole sign to 0.63 (95%CI = 0.44–0.78) for hypodensity, specificity ranged from 0.65 (95%CI = 0.56–0.73) for heterogeneous density to 0.89 (95%CI = 0.85–0.92) for blend sign. Conclusion Diagnostic accuracy of NCCT markers remains suboptimal for implementation in clinical trials although density features performed better than shape-related features. This analysis may help in better tailoring patients’ selection for hematoma expansion targeted trials.


Stroke ◽  
2015 ◽  
Vol 46 (11) ◽  
pp. 3111-3116 ◽  
Author(s):  
Dylan Blacquiere ◽  
Andrew M. Demchuk ◽  
Mohammed Al-Hazzaa ◽  
Anirudda Deshpande ◽  
William Petrcich ◽  
...  

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Danfeng Zhang ◽  
Jigang Chen ◽  
Qiang Xue ◽  
Bingying Du ◽  
Ya Li ◽  
...  

Background and Purpose. Hematoma expansion (HE) is related to clinical deterioration after intracerebral hemorrhage (ICH) and noncontrast computed tomography (NCCT) signs are indicated as predictors for HE but with inconsistent conclusions. We aim to clarify the correlations of NCCT heterogeneity signs with HE by meta-analysis of related studies. Methods. PubMed, Embase, and Cochrane library were searched for eligible studies exploring the relationships between NCCT heterogeneity signs (hypodensity, mixed density, swirl sign, blend sign, and black hole sign) and HE. Poor outcome and mortality were considered as secondary outcomes. Odds ratio (OR) and its 95% confidence intervals (CIs) were selected as the effect size and combined using random effects model. Results. Fourteen studies were included, involving 3240 participants and 435 HEs. The summary results suggested statistically significant correlations of heterogeneity signs with HE (OR, 5.17; 95% CI, 3.72–7.19, P<0.001), poor outcome (OR, 3.60; 95% CI, 1.98–6.54, P<0.001), and mortality (OR, 4.64; 95%, 2.96–7.27, P<0.001). Conclusions. Our findings suggested that hematoma heterogeneity signs on NCCT were positively associated with the increased risk of HE, poor outcome, and mortality rate in ICH.


2014 ◽  
Vol 56 (12) ◽  
pp. 1039-1045 ◽  
Author(s):  
Akio Tsukabe ◽  
Yoshiyuki Watanabe ◽  
Hisashi Tanaka ◽  
Yuki Kunitomi ◽  
Mitsuo Nishizawa ◽  
...  

2020 ◽  
Vol 1 (3) ◽  
pp. 152-157
Author(s):  
Heling Chu ◽  
Chuyi Huang ◽  
Jing Dong ◽  
Qiang Dong ◽  
Yuping Tang

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