scholarly journals P.146 Non-contrast CT markers of intracerebral hemorrhage expansion: a predictive accuracy and reliability study

2021 ◽  
Vol 48 (s3) ◽  
pp. S61-S62
Author(s):  
A Nehme ◽  
M Panzini ◽  
C Ducroux ◽  
MT Maallah ◽  
C Bard ◽  
...  
Keyword(s):  
Black Hole ◽  
Intracerebral Hemorrhage ◽  
Predictive Accuracy ◽  
Hematoma Expansion ◽  
Rater Agreement ◽  
Fluid Level ◽  
Reliability Study ◽  
Observer Reliability ◽  
Absolute Growth ◽  
Contrast Ct

Background: We evaluated (1) the predictive accuracy and (2) multi-observer reliability of non-contrast CT markers of hematoma expansion (HE). Methods: In 124 patients with spontaneous intracerebral hemorrhage, two investigators documented the presence of six density (Barras density, hypodensity, black hole, swirl, blend, fluid level) and three shape (Barras shape, island, satellite) expansion markers, with discrepancies resolved by a third rater. We defined HE as any one of (1) >6 mL absolute or >33% relative growth of the intraparenchymal hematoma or (2) an absolute growth of >1 mL or new development of intraventricular hematoma. A subsample of 60 patients was used for the inter-observer reliability study in 13 raters. Seven raters participated in the intra-rater study. Results: The sensitivity of markers for HE varied between 4% (fluid level) and 78% (satellite), while specificity ranged from 37% (swirl) to 97% (black hole). Almost perfect inter-rater agreement was observed for the swirl (0.89) and fluid level (0.83) markers, while hypodensity (0.65) showed substantial agreement. Only the blend and fluid level markers achieved substantial intra-rater agreement (> 0.6) in all raters. Conclusions: Non-contrast CT markers of HE showed lower reliability and predictive accuracy than previously reported. Future studies should address means to improve NCCT-based HE prediction.

scholarly journals Comparison of Black Hole Sign, Satellite Sign, and Iodine Sign to Predict Hematoma Expansion in Patients with Spontaneous Intracerebral Hemorrhage

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Milind Ratna Shakya ◽  
Fan Fu ◽  
Miao Zhang ◽  
Yi Shan ◽  
Fan Yu ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Black Hole ◽  
Intracerebral Hemorrhage ◽  
Odds Ratio ◽  
Predictive Accuracy ◽  
Characteristic Curve ◽  
Receiver Operator Characteristic Curve ◽  
Hematoma Expansion ◽  
Spontaneous Intracerebral Hemorrhage ◽  
Significant Difference

Purpose. To discretely and collectively compare black hole sign (BHS) and satellite sign (SS) with recently introduced gemstone spectral imaging-based iodine sign (IS) for predicting hematoma expansion (HE) in spontaneous intracerebral hemorrhage (SICH). Methods. This retrospective study includes 90 patients from 2017 to 2019 who underwent both spectral computed tomography angiography (CTA) as well as noncontrast computed tomography (NCCT) within 6 hours of SICH onset along with subsequent follow-up NCCT scanned within 24 hours. We named the presence of any of BHS or SS as any NCCT sign. Two independent reviewers analyzed all the HE predicting signs. Receiver-operator characteristic curve analysis and logistic regression were performed to compare the predictive performance of HE. Results. A total of 61 patients had HE, out of which IS was seen in 78.7% (48/61) while BHS and SS were seen in 47.5% (29/61) and 41% (25/61), respectively. The area under the curve for BHS, SS, and IS was 63.4%, 67%, and 82.4%, respectively, while for any NCCT sign was 71.5%. There was no significant difference between IS and any NCCT sign ( P = 0.108 ). Multivariate analysis showed IS (odds ratio 68.24; 95% CI 11.76-396.00; P < 0.001 ) and any NCCT sign (odds ratio 19.49; 95% CI 3.99-95.25; P < 0.001 ) were independent predictors of HE whereas BHS (odds ratio 0.34; 95% CI 0.01-38.50; P = 0.534 ) and SS (odds ratio 4.54; 95% CI 0.54-38.50; P = 0.165 ) had no significance. Conclusion. The predictive accuracy of any NCCT sign was better than that of sole BHS and SS. Both any NCCT sign and IS were independent predictors of HE. Although IS had higher predictive accuracy, any NCCT sign may still be regarded as a fair predictor of HE when CTA is not available.

Meta-Analysis of Predictive Significance of the Black Hole Sign for Hematoma Expansion in Intracerebral Hemorrhage

2018 ◽  
Vol 115 ◽  
pp. e711-e716 ◽  
Author(s):  
Jun Zheng ◽  
Zhiyuan Yu ◽  
Rui Guo ◽  
Hao Li ◽  
Chao You ◽  
...  
Keyword(s):  
Black Hole ◽  
Intracerebral Hemorrhage ◽  
Meta Analysis ◽  
Hematoma Expansion

Noncontrast Computed Tomography Markers of Cerebral Hemorrhage Expansion: Diagnostic Accuracy Meta-Analysis

2021 ◽  
pp. 174749302110616
Author(s):  
Arba Francesco ◽  
Rinaldi Chiara ◽  
Boulouis Gregoire ◽  
Fainardi Enrico ◽  
Charidimou Andreas ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Black Hole ◽  
Intracerebral Hemorrhage ◽  
Diagnostic Accuracy ◽  
Meta Analysis ◽  
Significant Risk ◽  
Irregular Shape ◽  
Hematoma Expansion ◽  
Logistic Regression Models ◽  
Noncontrast Computed Tomography

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.

scholarly journals Early Predictors of the Increase in Perihematomal Edema Volume After Intracerebral Hemorrhage: A Retrospective Analysis From the Risa-MIS-ICH Study

2021 ◽  
Vol 12 ◽  
Author(s):  
Gengzhao Ye ◽  
Shuna Huang ◽  
Renlong Chen ◽  
Yan Zheng ◽  
Wei Huang ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Black Hole ◽  
Intracerebral Hemorrhage ◽  
Clinical Laboratory ◽  
Characteristic Curve ◽  
Hematoma Expansion ◽  
Hematoma Volume ◽  
Absolute Increase ◽  
Poor Outcome ◽  
Perihematomal Edema

Background and Purpose: Perihematomal edema (PHE) is associated with poor functional outcomes after intracerebral hemorrhage (ICH). Early identification of risk factors associated with PHE growth may allow for targeted therapeutic interventions.Methods: We used data contained in the risk stratification and minimally invasive surgery in acute intracerebral hemorrhage (Risa-MIS-ICH) patients: a prospective multicenter cohort study. Patients' clinical, laboratory, and radiological data within 24 h of admission were obtained from their medical records. The absolute increase in PHE volume from baseline to day 3 was defined as iPHE volume. Poor outcome was defined as modified Rankin Scale (mRS) of 4 to 6 at 90 days. Binary logistic regression was used to assess the relationship between iPHE volume and poor outcome. The receiver operating characteristic curve was used to find the best cutoff. Linear regression was used to identify variables associated with iPHE volume (ClinicalTrials.gov Identifier: NCT03862729).Results: One hundred ninety-seven patients were included in this study. iPHE volume was significantly associated with poor outcome [P = 0.003, odds ratio (OR) 1.049, 95% confidence interval (CI) 1.016–1.082] after adjustment for hematoma volume. The best cutoff point of iPHE volume was 7.98 mL with a specificity of 71.4% and a sensitivity of 47.5%. Diabetes mellitus (P = 0.043, β = 7.66 95% CI 0.26–15.07), black hole sign (P = 0.002, β = 18.93 95% CI 6.84–31.02), and initial ICH volume (P = 0.018, β = 0.20 95% CI 0.03–0.37) were significantly associated with iPHE volume. After adjusting for hematoma expansion, the black hole sign could still independently predict the increase of PHE (P &lt; 0.001, β = 21.62 95% CI 10.10–33.15).Conclusions: An increase of PHE volume &gt;7.98 mL from baseline to day 3 may lead to poor outcome. Patients with diabetes mellitus, black hole sign, and large initial hematoma volume result in more PHE growth, which should garner attention in the treatment.

Black Hole Sign Predicts Poor Outcome in Patients with Intracerebral Hemorrhage

2018 ◽  
Vol 45 (1-2) ◽  
pp. 48-53 ◽  
Author(s):  
Qi Li ◽  
Wen-Song Yang ◽  
Sheng-Li Chen ◽  
Fu-Rong Lv ◽  
Fa-Jin Lv ◽  
...  
Keyword(s):  
Black Hole ◽  
Logistic Regression ◽  
Intracerebral Hemorrhage ◽  
Ct Scan ◽  
Functional Outcome ◽  
Multivariate Logistic Regression Analysis ◽  
Hematoma Expansion ◽  
Poor Functional Outcome ◽  
Poor Outcome ◽  
Prognostic Stratification

Background: In spontaneous intracerebral hemorrhage (ICH), black hole sign has been proposed as a promising imaging marker that predicts hematoma expansion in patients with ICH. The aim of our study was to investigate whether admission CT black hole sign predicts hematoma growth in patients with ICH. Methods: From July 2011 till February 2016, patients with spontaneous ICH who underwent baseline CT scan within 6 h of symptoms onset and follow-up CT scan were recruited into the study. The presence of black hole sign on admission non-enhanced CT was independently assessed by 2 readers. The functional outcome was assessed using the modified Rankin Scale (mRS) at 90 days. Univariate and multivariable logistic regression analyses were performed to assess the association between the presence of the black hole sign and functional outcome. Results: A total of 225 patients (67.6% male, mean age 60.3 years) were included in our study. Black hole sign was identified in 32 of 225 (14.2%) patients on admission CT scan. The multivariate logistic regression analysis demonstrated that age, intraventricular hemorrhage, baseline ICH volume, admission Glasgow Coma Scale score, and presence of black hole sign on baseline CT independently predict poor functional outcome at 90 days. There are significantly more patients with a poor functional outcome (defined as mRS ≥4) among patients with black hole sign than those without (84.4 vs. 32.1%, p < 0.001; OR 8.19, p = 0.001). Conclusions: The CT black hole sign independently predicts poor outcome in patients with ICH. Early identification of black hole sign is useful in prognostic stratification and may serve as a potential therapeutic target for anti-expansion clinical trials.

scholarly journals Noncontrast Computed Tomography Markers as Predictors of Revised Hematoma Expansion in Acute Intracerebral Hemorrhage

2021 ◽  
Vol 10 (3) ◽  
Author(s):  
Wen‐Song Yang ◽  
Shu‐Qiang Zhang ◽  
Yi‐Qing Shen ◽  
Xiao Wei ◽  
Li‐Bo Zhao ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Intracerebral Hemorrhage ◽  
Predictive Accuracy ◽  
Characteristic Curve ◽  
Dynamic Change ◽  
Multivariate Logistic Regression Analysis ◽  
Hematoma Expansion ◽  
Computer Assisted ◽  
Original Definition ◽  
Noncontrast Computed Tomography

Background Noncontrast computed tomography (NCCT) markers are the emerging predictors of hematoma expansion in intracerebral hemorrhage. However, the relationship between NCCT markers and the dynamic change of hematoma in parenchymal tissues and the ventricular system remains unclear. Methods and Results We included 314 consecutive patients with intracerebral hemorrhage admitted to our hospital from July 2011 to May 2017. The intracerebral hemorrhage volumes and intraventricular hemorrhage (IVH) volumes were measured using a semiautomated, computer‐assisted technique. Revised hematoma expansion (RHE) was defined by incorporating the original definition of hematoma expansion into IVH growth. Receiver operating characteristic curve analysis was used to compare the performance of the NCCT markers in predicting the IVH growth and RHE. Of 314 patients in our study, 61 (19.4%) had IVH growth and 93 (23.9%) had RHE. After adjustment for potential confounding variables, blend sign, black hole sign, island sign, and expansion‐prone hematoma could independently predict IVH growth and RHE in the multivariate logistic regression analysis. Expansion‐prone hematoma had a higher predictive performance of RHE than any single marker. The diagnostic accuracy of RHE in predicting poor prognosis was significantly higher than that of hematoma expansion. Conclusions The NCCT markers are independently associated with IVH growth and RHE. Furthermore, the expansion‐prone hematoma has a higher predictive accuracy for prediction of RHE and poor outcome than any single NCCT marker. These findings may assist in risk stratification of NCCT signs for predicting active bleeding.

The predictive accuracy of satellite sign for hematoma expansion in intracerebral hemorrhage: A meta-analysis

2020 ◽  
Vol 197 ◽  
pp. 106139
Author(s):  
Hang Yang ◽  
Yan Luo ◽  
Shaoli Chen ◽  
Xueying Luo ◽  
Bowei Li ◽  
...  
Keyword(s):  
Intracerebral Hemorrhage ◽  
Predictive Accuracy ◽  
Meta Analysis ◽  
Hematoma Expansion

scholarly journals Calculation of Prognostic Scores, Using Delayed Imaging, Outperforms Baseline Assessments in Acute Intracerebral Hemorrhage

Stroke ◽  
2020 ◽  
Vol 51 (4) ◽  
pp. 1107-1110 ◽  
Author(s):  
Ronda Lun ◽  
Vignan Yogendrakumar ◽  
Andrew M. Demchuk ◽  
Richard I. Aviv ◽  
David Rodriguez-Luna ◽  
...  
Keyword(s):  
Intracerebral Hemorrhage ◽  
Predictive Accuracy ◽  
Area Under The Curve ◽  
Prognostic Scores ◽  
Hematoma Expansion ◽  
Imaging Data ◽  
Spot Sign ◽  
Delayed Imaging ◽  
Predictive Values ◽  
Ich Score

Background and Purpose— Patients with intracerebral hemorrhage (ICH) are often subject to rapid deterioration due to hematoma expansion. Current prognostic scores are largely based on the assessment of baseline radiographic characteristics and do not account for subsequent changes. We propose that calculation of prognostic scores using delayed imaging will have better predictive values for long-term mortality compared with baseline assessments. Methods— We analyzed prospectively collected data from the multicenter PREDICT study (Prediction of Hematoma Growth and Outcome in Patients With Intracerebral Hemorrhage Using the CT-Angiography Spot Sign). We calculated the ICH Score, Functional Outcome in Patients With Primary Intracerebral Hemorrhage (FUNC) Score, and modified ICH Score using imaging data at initial presentation and at 24 hours. The primary outcome was mortality at 90 days. We generated receiver operating characteristic curves for all 3 scores, both at baseline and at 24 hours, and assessed predictive accuracy for 90-day mortality with their respective area under the curve. Competing curves were assessed with nonparametric methods. Results— The analysis included 280 patients, with a 90-day mortality rate of 25.4%. All 3 prognostic scores calculated using 24-hour imaging were more predictive of mortality as compared with baseline: the area under the curve was 0.82 at 24 hours (95% CI, 0.76–0.87) compared with 0.78 at baseline (95% CI, 0.72–0.84) for ICH Score, 0.84 at 24 hours (95% CI, 0.79–0.89) compared with 0.76 at baseline (95% CI, 0.70–0.83) for FUNC, and 0.82 at 24 hours (95% CI, 0.76–0.88) compared with 0.74 at baseline (95% CI, 0.67–0.81) for modified ICH Score. Conclusions— Calculation of the ICH Score, FUNC Score, and modified ICH Score using 24-hour imaging demonstrated better prognostic value in predicting 90-day mortality compared with those calculated at presentation.

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