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Current Medical Imaging

Editor-in-Chief

ISSN (Print): 1573-4056
ISSN (Online): 1875-6603

Systematic Review Article

Black Hole Sign on Noncontrast Computed Tomography in Predicting Hematoma Expansion in Patients with Intracerebral Hemorrhage: A Meta-analysis

Author(s): Yilin Chen, Lu Tian, Longlun Wang, Yong Qin and Jinhua Cai*

Volume 16, Issue 7, 2020

Page: [878 - 886] Pages: 9

DOI: 10.2174/1573405615666190903155738

Price: $65

Abstract

Background: Black hole sign represents a novel imaging marker for predicting hematoma expansion (HE) in patients with intracerebral hemorrhage (ICH). Several previous studies have reported the accuracy of black hole sign in predicting HE, but the accuracy was variable. We performed a meta-analysis to systematically assess the accuracy of black hole sign in predicting HE in patients with ICH.

Methods: A systematic search was performed to identify relevant English and Chinese articles (from inception to January 2019). All studies on the accuracy of black hole sign in predicting HE in patients with ICH were included. Pooled sensitivity, specificity, and positive and negative likelihood ratios were calculated. Pooling was conducted using the bivariate generalized linear mixed model. Forest plots and a summary receiver operator characteristic plot were generated. We used I² to test heterogeneity and investigated the source of heterogeneity by meta-regression. Publication bias was assessed by Deeks’ funnel plot asymmetry test.

Results: A total of 6 studies with 1876 patients were included in this meta-analysis. The pooled sensitivity, specificity, and positive and negative likelihood ratios of black hole sign for predicting HE were 0.30, 0.93, 4.00 and 0.75, respectively. The area under the curve (AUC) was 0.83. The studies had substantial heterogeneity (I²=89.00%, 95% CI 78.00-100.00). Low risk of publication bias was detected.

Conclusion: Black hole sign is a useful imaging marker with high specificity in predicting hematoma expansion in patients with intracerebral hemorrhage.

Keywords: Black hole sign, contrast computed tomography, hematoma expansion, intracerebral hemorrhage, accuracy, metaanalysis.

Graphical Abstract
[1]
Kim JY, Bae HJ. Spontaneous intracerebral hemorrhage: management. J Stroke 2017; 19(1): 28-39.
[http://dx.doi.org/10.5853/jos.2016.01935] [PMID: 28178413]
[2]
Hemphill JC III, Greenberg SM, Anderson CS, et al. Guidelines for the management of spontaneous intracerebral hemorrhage: a guideline for healthcare professionals from the American heart association/American stroke association. Stroke 2015; 46(7): 2032-60.
[http://dx.doi.org/10.1161/STR.0000000000000069] [PMID: 26022637]
[3]
Yang G, Shao GF. Elevated serum IL-11, TNF α, and VEGF expressions contribute to the pathophysiology of hypertensive intracerebral hemorrhage (HICH). Neurol Sci 2016; 37(8): 1253-9.
[http://dx.doi.org/10.1007/s10072-016-2576-z] [PMID: 27115896]
[4]
Deopujari C, Shaikh S. Spontaneous intracerebral hemorrhage. Neurol India 2018; 66(6): 1704-5.
[http://dx.doi.org/10.4103/0028-3886.246300] [PMID: 30504568]
[5]
Brouwers HB, Greenberg SM. Hematoma expansion following acute intracerebral hemorrhage. Cerebrovasc Dis 2013; 35(3): 195-201.
[http://dx.doi.org/10.1159/000346599] [PMID: 23466430]
[6]
Guan J, Hawryluk GW. Targeting secondary hematoma expansion in spontaneous intracerebral hemorrhage-state of the art. Front Neurol 2016; 7: 187.
[http://dx.doi.org/10.3389/fneur.2016.00187] [PMID: 27826284]
[7]
Dowlatshahi D, Brouwers HB, Demchuk AM, et al. Predicting intracerebral hemorrhage growth with the spot sign: the effect of onset-to-scan time. Stroke 2016; 47(3): 695-700.
[http://dx.doi.org/10.1161/STROKEAHA.115.012012] [PMID: 26846857]
[8]
Brouwers HB, Raffeld MR, van Nieuwenhuizen KM, et al. CT angiography spot sign in intracerebral hemorrhage predicts active bleeding during surgery. Neurology 2014; 83(10): 883-9.
[http://dx.doi.org/10.1212/WNL.0000000000000747] [PMID: 25098540]
[9]
Miki K, Yagi K, Nonaka M, et al. Spot sign as a predictor of rebleeding after endoscopic surgery for intracerebral hemorrhage. J Neurosurg 2018; 1-6.
[PMID: 29799345]
[10]
Li Q, Zhang G, Huang YJ, et al. Blend sign on computed tomography: novel and reliable predictor for early hematoma growth in patients with intracerebral hemorrhage. Stroke 2015; 46(8): 2119-23.
[http://dx.doi.org/10.1161/STROKEAHA.115.009185] [PMID: 26089330]
[11]
Li Q, Zhang G, Xiong X, et al. Black hole sign: novel imaging marker that predicts hematoma growth in patients with intracerebral hemorrhage. Stroke 2016; 47(7): 1777-81.
[http://dx.doi.org/10.1161/STROKEAHA.116.013186] [PMID: 27174523]
[12]
Boulouis G, Morotti A, Charidimou A, Dowlatshahi D, Goldstein JN. Noncontrast computed tomography markers of intracerebral hemorrhage expansion. Stroke 2017; 48(4): 1120-5.
[http://dx.doi.org/10.1161/STROKEAHA.116.015062] [PMID: 28289239]
[13]
Boulouis G, Morotti A, Brouwers HB, et al. Association between hypodensities detected by computed tomography and hematoma expansion in patients with intracerebral hemorrhage. JAMA Neurol 2016; 73(8): 961-8.
[http://dx.doi.org/10.1001/jamaneurol.2016.1218] [PMID: 27323314]
[14]
Yu Z, Zheng J, Guo R, et al. Performance of blend sign in predicting hematoma expansion in intracerebral hemorrhage: A meta-analysis. Clin Neurol Neurosurg 2017; 163: 84-9.
[http://dx.doi.org/10.1016/j.clineuro.2017.10.017] [PMID: 29078128]
[15]
Li R, Yang M. A comparative study of the blend sign and the black hole sign on CT as a predictor of hematoma expansion in spontaneous intracerebral hemorrhage. Biosci Trends 2017; 11(6): 682-7.
[http://dx.doi.org/10.5582/bst.2017.01283] [PMID: 29311451]
[16]
Xiong X, Li Q, Yang WS, et al. Comparison of swirl sign and black hole sign in predicting early hematoma growth in patients with spontaneous intracerebral hemorrhage. Med Sci Monit 2018; 24: 567-73.
[http://dx.doi.org/10.12659/MSM.906708] [PMID: 29375118]
[17]
Morotti A, Boulouis G, Romero JM, et al. Blood pressure reduction and noncontrast CT markers of intracerebral hemorrhage expansion. Neurology 2017; 89(6): 548-54.
[http://dx.doi.org/10.1212/WNL.0000000000004210] [PMID: 28701501]
[18]
Yang WS, Li Q, Wang XC, et al. Blend sign, black hole sign and its combined signs with CT scanning for the predictive value of early hematoma enlargement in patients with intracerebral hemorrhag. Chinese J Cerebrovas Dis 2017; 14: 561-5.
[19]
Yu Z, Zheng J, Ma L, et al. The predictive accuracy of the black hole sign and the spot sign for hematoma expansion in patients with spontaneous intracerebral hemorrhage. Neurol Sci 2017; 38(9): 1591-7.
[http://dx.doi.org/10.1007/s10072-017-3006-6] [PMID: 28577268]
[20]
McInnes MDF, Moher D, Thombs BD, et al. Preferred reporting items for a systematic review and meta-analysis of diagnostic test accuracy studies: The PRISMA-DTA statement. JAMA 2018; 319(4): 388-96.
[http://dx.doi.org/10.1001/jama.2017.19163] [PMID: 29362800]
[21]
Methley AM, Campbell S, Chew-Graham C, McNally R, Cheraghi-Sohi S. PICO, PICOS and SPIDER: a comparison study of specificity and sensitivity in three search tools for qualitative systematic reviews. BMC Health Serv Res 2014; 14: 579.
[http://dx.doi.org/10.1186/s12913-014-0579-0] [PMID: 25413154]
[22]
Whiting PF, Rutjes AW, Westwood ME, et al. QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med 2011; 155(8): 529-36.
[http://dx.doi.org/10.7326/0003-4819-155-8-201110180-00009] [PMID: 22007046]
[23]
Arends LR, Hamza TH, van Houwelingen JC, Heijenbrok-Kal MH, Hunink MG, Stijnen T. Bivariate random effects meta-analysis of ROC curves. Med Decis Making 2008; 28(5): 621-38.
[http://dx.doi.org/10.1177/0272989X08319957] [PMID: 18591542]
[24]
Higgins JP, Thompson SG. Quantifying heterogeneity in a meta-analysis. Stat Med 2002; 21(11): 1539-58.
[http://dx.doi.org/10.1002/sim.1186] [PMID: 12111919]
[25]
Selariu E, Zia E, Brizzi M, Abul-Kasim K. Swirl sign in intracerebral haemorrhage: definition, prevalence, reliability and prognostic value. BMC Neurol 2012; 12: 109.
[http://dx.doi.org/10.1186/1471-2377-12-109] [PMID: 23013418]

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