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 ◽  
Jinhua Cai

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.

2018 ◽  
Vol 115 ◽  
pp. e711-e716 ◽  
Author(s):  
Jun Zheng ◽  
Zhiyuan Yu ◽  
Rui Guo ◽  
Hao Li ◽  
Chao You ◽  
...  

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.


2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Aristidis K. Nikoloulopoulos

AbstractA recent paper proposed an extended trivariate generalized linear mixed model (TGLMM) for synthesis of diagnostic test accuracy studies in the presence of non-evaluable index test results. Inspired by the aforementioned model we propose an extended trivariate vine copula mixed model that includes the TGLMM as special case, but can also operate on the original scale of sensitivity, specificity, and disease prevalence. The performance of the proposed vine copula mixed model is examined by extensive simulation studies in comparison with the TGLMM. Simulation studies showed that the TGLMM leads to biased meta-analytic estimates of sensitivity, specificity, and prevalence when the univariate random effects are misspecified. The vine copula mixed model gives nearly unbiased estimates of test accuracy indices and disease prevalence. Our general methodology is illustrated by meta-analysing coronary CT angiography studies.


2021 ◽  
Vol 12 ◽  
Author(s):  
Xinlong Shi ◽  
Ruifeng Liu ◽  
Luying Gao ◽  
Yu Xia ◽  
Yuxin Jiang

Ultrasonography (US) is one of the most important methods for the management of thyroid nodules, which can be classified as solid, partially cystic, or cystic by composition. The various Thyroid Imaging Reporting and Data System classifications pay more attention to solid nodules and have reported pertinent US features associated with malignancy. However, the likelihood of malignancy of partially cystic thyroid nodules (PCTNs) is 3.3–17.6%, and few studies have systematically discussed the value of US in differentiating such entities. Therefore, we deemed it necessary to perform a systematic evaluation of US features in recognizing malignant PCTNs. Our systematic review and meta-analysis aimed to assess the value of US features in predicting malignant PCTNs. We searched the PubMed/MEDLINE, Web of Science, and Cochrane Library databases to find studies that researched US features of PCTNs and that were published before June 2020. Review Manager 5.3 was used to summarize suspicious US features and calculate the sensitivity, specificity, and likelihood ratios. MetaDiSc 1.4 was used to estimate receiver operating characteristic curves and calculate areas under the curves (AUCs). Our review included eight studies with a total of 2,004 PCTNs. Seven features were considered to be associated with malignancy. High specificity (>0.9) was found in nodules with a taller-than-wide shape, those that were spiculated/microlobulated or with an ill-defined margin, those with microcalcification, and a non-smooth rim. Among US features, eccentric configuration, microcalcification, and marked or mild hypoechogenicity were more reliable in predicting malignancy (AUC: 0.9592, 0.8504, and 0.8092, respectively). After meta-analysis, we recommend combining PCTN US features including an eccentric internal solid portion, marked or mild hypoechogenicity, and presence of microcalcification to better identify malignant nodules. More studies are needed to explore and improve the diagnostic value of US in PCTNs.


Author(s):  
Hong-Chao Liu ◽  
Yu-Lu Gao ◽  
Dan-Feng Li ◽  
Xi-Yi Zhao ◽  
Yuan-Qing Pan ◽  
...  

Background: The performance of Xpert MTB/RIF using bronchoalveolar lavage fluid (BAL) for the diagnosis of pulmonary tuberculosis (PTB) remains unclear. Therefore, a systematic review/meta-analysis was conducted. Methods: Studies published before December 31, 2019, were retrieved from the PubMed, Embase, and Web of Science databases using the keywords “pulmonary tuberculosis,” “Xpert MTB/RIF,” and “BAL.” Two independent evaluators extracted the data and assessed the bias risk of the included studies. A random-effects model was used to calculate the overall sensitivity, specificity, positive and negative likelihood ratios (PLR and NLR, respectively), diagnostic odds ratio (DOR), and the area under the curve (AUC), as well as the respective 95% confidence intervals (CIs). Results: Nineteen trials involving 3019 participants met the inclusion criteria. Compared to the culture method, the pooled sensitivity, specificity, PLR, NLR, DOR, and the AUC with 95% CIs of Xpert MTB/RIF were 0.87 (0.84–0.90), 0.92 (0.91–0.93), 10.21 (5.78–18.02), 0.16 (0.12–0.22), 78.95 (38.59–161.53), and 0.9467 (0.9462-0.9472), respectively. Relative to the composite reference standard, the observed values were 0.69 (0.65–0.72), 0.98 (0.98–0.99), 37.50 (18.59–75.62), 0.30 (0.21–0.43), 171.98 (80.82–365.96), and 0.9691 (0.9683–0.9699), respectively. All subgroups, except children, showed high sensitivity and specificity. Conclusions: The use of Xpert MTB/RIF in the context of BAL samples has a high diagnostic performance for PTB (except for children) and may serve as an alternative rapid diagnostic tool.


CJEM ◽  
2018 ◽  
Vol 20 (5) ◽  
pp. 732-735 ◽  
Author(s):  
Sameer Sharif ◽  
Steven Skitch ◽  
Dean Vlahaki ◽  
Andrew Healey

ABSTRACTObjectivesAppendicitis is a common surgical condition that frequently requires diagnostic imaging. Abdominal computed tomography (CT) is the gold standard for diagnosing appendicitis. Ultrasound offers a radiation-free modality; however, its availability outside business hours is limited in many emergency departments (EDs). The purpose of this study is to evaluate the test characteristics of emergency physician-performed point-of-care ultrasound (POCUS) to diagnose appendicitis in a Canadian ED.MethodsA health records review was performed on all ED patients who underwent POCUS to diagnose appendicitis from December 1, 2010 to December 4, 2015. The sensitivity, specificity, and likelihood ratios were calculated. The gold standard used for diagnosis was pathology, laparoscopy, CT scans, and a radiologist-performed ultrasound.ResultsNinety patients were included in the study, and 24 were diagnosed with appendicitis on POCUS. Ultimately, 18 were confirmed to have appendicitis through radiologist-performed imaging, laparoscopy, and pathology. The sensitivity and specificity of POCUS to diagnose appendicitis were 69.2% (95% CI, 48.1%-84.9%) and 90.6% (95% CI, 80.0%-96.1%), respectively.ConclusionPOCUS has a high specificity for diagnosing acute appendicitis and has very similar characteristics to those of a radiologist-performed ultrasound. These findings are consistent with the current literature and have the potential to decrease patient morbidity, diagnostic delays, ED length of stay, and need for additional imaging.


Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Meaghan Roy-O’Reilly ◽  
Davis So ◽  
Glenda Torres ◽  
Liang Zhu ◽  
Jaroslaw Aronowski ◽  
...  

Introduction: Macrophages are the predominant cell capable of removing toxic hemoglobin at sites of tissue injury, and CD163 has been recognized as the hemoglobin scavenger receptor present on the macrophage cell surface. In this study, we explored the levels of soluble CD163 (sCD163) in patients with intracerebral hemorrhage (ICH) to ascertain whether sCD163 was associated with clinicoradiologic features and long-term functional outcomes. Methods: Our ICH cohort was comprised of 50 patients with moderate-sized basal ganglia hematomas. We collected serial serum and cerebrospinal fluid (CSF) at pre-specified timepoints (24 hours, 48 hours, 3-5 days, 6-8 days, and greater than 10 days post-ictus). We also obtained samples from 10 healthy controls. Levels of sCD163 were measured by enzyme-linked immunosorbent assay. A linear mixed model was used to compare sCD163 values among various groups, using a Bonferroni correction for multiple test adjustment. The method of generalized estimating equations was used to determine associations with dichotomized outcomes (modified Rankin Scale score 0-3 versus 4-6). Results: Compared to healthy controls, serum sCD163 was higher in the ICH patients (40.6 versus 128.4 ng/mL). Within the ICH cohort, early values (24 hours to 5 days post-ictus) of serum sCD163 were significantly higher in patients who elaborated minimal perihematomal edema (PHE) (200.3 in patients with less than 10 mL PHE versus 71.8; p = 0.046). 6 to greater than 10 days post-ictus, sCD163 levels tailed off for patients with less PHE whereas levels rose in patients with greater PHE. Continued subacute elevation of sCD163, particularly in the CSF, was highly associated with poorer outcomes, both at discharge and at 90 days (p < 0.001). These associations were independent of age, gender, peak hematoma volume, and ICH score; there was a statistically significant association of CSF sCD163 values with degree of intraventricular hemorrhage (p = 0.04). Conclusions: sCD163 may be a dynamic marker in ICH, with acute levels distinguishing edema patterns and subacute levels predicting functional outcome. Further studies are needed to confirm these findings and explore the pathophysiology behind these observations.


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