Literature DB >> 30355120

Triage of 5 Noncontrast Computed Tomography Markers and Spot Sign for Outcome Prediction After Intracerebral Hemorrhage.

Peter B Sporns1, André Kemmling1,2, Michael Schwake3, Jens Minnerup4, Jawed Nawabi5, Gabriel Broocks5, Moritz Wildgruber1, Jens Fiehler5, Walter Heindel1, Uta Hanning5.   

Abstract

Background and Purpose- Besides the established spot sign (SS) in computed tomography angiography (CTA), there is growing evidence that different imaging markers in noncontrast CT offer great value for outcome prediction in patients with intracerebral hemorrhage (ICH). However, it is unclear how the concurrent presence of each sign independently contributes to the predictive power of poor outcome. We, therefore, aimed to clarify the predictive value of 5 recently published noncontrast CT parameters (blend sign, black hole sign, island sign, hematoma heterogeneity, and hypodensities) and the established SS in 1 consecutive series of patients with ICH. Methods- Retrospective study of patients with ICH at 2 German tertiary stroke centers; inclusion criteria were (1) spontaneous ICH and (2) noncontrast CT and CTA performed on admission within 6 hours after onset of symptoms. We defined a binary outcome (good outcome [modified Rankin Scale score of ≤3] versus poor outcome [modified Rankin Scale score of >3]) at discharge. The predictive value of each sign was assessed in univariate and multivariable logistic regression models. Results- Of 201 patients with spontaneous ICH, 28 (13.9%) presented with black hole sign, 38 (18.9%) with blend sign, 120 (59.7%) with hypodensities, 97 (48.3%) with heterogeneous densities, 53 with island sign (26.4%), and 45 (22.4%) with SS. In univariable logistic regression, higher hematoma volume ( P<0.001), intraventricular hemorrhage ( P=0.002), and the presence of black hole sign/blend sign/hypodensities/island sign/SS/heterogeneous density (all P<0.001) on admission CT were associated with poor outcome. Multivariable analysis confirmed intraventricular hemorrhage (odds ratio, 2.20; P=0.025), higher hematoma volume (odds ratio, 1.02 per mL; P<0.019), the presence of hypodensities (odds ratio, 2.47; P=0.018), and SS (odds ratio, 12.22; P<0.001) as independent predictors of poor outcome. Conclusions- This study demonstrates the degree of interaction between 5 recent noncontrast CT imaging markers and SS and their individual contribution for outcome prediction in patients with ICH. Of the CT variables indicating poor outcome SS on CTA and hypodensities were the most reliable outcome predictors.

Entities:  

Keywords:  cerebral; computed tomography angiography; hematoma; hemorrhage; odds ratio; stroke

Mesh:

Substances:

Year:  2018        PMID: 30355120     DOI: 10.1161/STROKEAHA.118.021625

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  12 in total

1.  A Nomogram Model of Radiomics and Satellite Sign Number as Imaging Predictor for Intracranial Hematoma Expansion.

Authors:  Wen Xu; Zhongxiang Ding; Yanna Shan; Wenhui Chen; Zhan Feng; Peipei Pang; Qijun Shen
Journal:  Front Neurosci       Date:  2020-06-04       Impact factor: 4.677

2.  Hematoma Ventricle Distance on Computed Tomography Predicts Poor Outcome in Intracerebral Hemorrhage.

Authors:  Lan Deng; Yun-Dong Zhang; Jian-Wen Ji; Wen-Song Yang; Xiao Wei; Yi-Qing Shen; Rui Li; Shu-Qiang Zhang; Xin-Ni Lv; Xin-Hui Li; Zhou-Ping Tang; Guo-Feng Wu; Li-Bo Zhao; Peng Xie; Qi Li
Journal:  Front Neurosci       Date:  2020-11-19       Impact factor: 4.677

3.  Noncontrast Computed Tomography Markers as Predictors of Revised Hematoma Expansion in Acute Intracerebral Hemorrhage.

Authors:  Wen-Song Yang; Shu-Qiang Zhang; Yi-Qing Shen; Xiao Wei; Li-Bo Zhao; Xiong-Fei Xie; Lan Deng; Xin-Hui Li; Xin-Ni Lv; Fa-Jin Lv; Dar Dowlatshahi; Qi Li; Peng Xie
Journal:  J Am Heart Assoc       Date:  2021-01-28       Impact factor: 5.501

Review 4.  Prognostication after intracerebral hemorrhage: a review.

Authors:  Jens Witsch; Bob Siegerink; Christian H Nolte; Maximilian Sprügel; Thorsten Steiner; Matthias Endres; Hagen B Huttner
Journal:  Neurol Res Pract       Date:  2021-05-03

5.  Association of Serum Dystroglycan, MMP-2/9 and AQP-4 with Haematoma Expansion in Patients with Intracerebral Haemorrhage.

Authors:  Yue Shi; Xuehui Fan; Guozhong Li; Di Zhong; Xin Zhang
Journal:  Neuropsychiatr Dis Treat       Date:  2021-01-06       Impact factor: 2.570

6.  The new Hematoma Maturity Score is highly associated with poor clinical outcome in spontaneous intracerebral hemorrhage.

Authors:  Elena Serrano; Antonio López-Rueda; Javier Moreno; Alejandro Rodríguez; Laura Llull; Christian Zwanzger; Laura Oleaga; Sergi Amaro
Journal:  Eur Radiol       Date:  2021-06-20       Impact factor: 5.315

7.  Admission computed tomography radiomic signatures outperform hematoma volume in predicting baseline clinical severity and functional outcome in the ATACH-2 trial intracerebral hemorrhage population.

Authors:  Stefan P Haider; Adnan I Qureshi; Abhi Jain; Hishan Tharmaseelan; Elisa R Berson; Tal Zeevi; Shahram Majidi; Christopher G Filippi; Simon Iseke; Moritz Gross; Julian N Acosta; Ajay Malhotra; Jennifer A Kim; Lauren H Sansing; Guido J Falcone; Kevin N Sheth; Seyedmehdi Payabvash
Journal:  Eur J Neurol       Date:  2021-07-18       Impact factor: 6.288

8.  Inter- and Intrarater Agreement of Spot Sign and Noncontrast CT Markers for Early Intracerebral Hemorrhage Expansion.

Authors:  Jawed Nawabi; Sarah Elsayed; Helge Kniep; Peter Sporns; Frieder Schlunk; Rosalie McDonough; Gabriel Broocks; Lasse Dührsen; Gerhard Schön; Thomalla Götz; Jens Fiehler; Uta Hanning
Journal:  J Clin Med       Date:  2020-04-04       Impact factor: 4.241

9.  Prognostic Value of Non-Contrast CT Markers and Spot Sign for Outcome Prediction in Patients with Intracerebral Hemorrhage under Oral Anticoagulation.

Authors:  Sebastian Zimmer; Jörn Meier; Jens Minnerup; Moritz Wildgruber; Gabriel Broocks; Jawed Nawabi; Andrea Morotti; Andre Kemmling; Marios Psychogios; Uta Hanning; Peter B Sporns
Journal:  J Clin Med       Date:  2020-04-10       Impact factor: 4.241

Review 10.  Neuroimaging of Acute Intracerebral Hemorrhage.

Authors:  Peter B Sporns; Marios-Nikos Psychogios; Grégoire Boulouis; Andreas Charidimou; Qi Li; Enrico Fainardi; Dar Dowlatshahi; Joshua N Goldstein; Andrea Morotti
Journal:  J Clin Med       Date:  2021-03-05       Impact factor: 4.241

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