Literature DB >> 27879447

Computed Tomographic Blend Sign Is Associated With Computed Tomographic Angiography Spot Sign and Predicts Secondary Neurological Deterioration After Intracerebral Hemorrhage.

Peter B Sporns1, Michael Schwake2, Rene Schmidt2, André Kemmling2, Jens Minnerup2, Wolfram Schwindt2, Christian Cnyrim2, Tarek Zoubi2, Walter Heindel2, Thomas Niederstadt2, Uta Hanning2.   

Abstract

BACKGROUND AND
PURPOSE: Significant early hematoma growth in patients with intracerebral hemorrhage is an independent predictor of poor functional outcome. Recently, the novel blend sign (BS) has been introduced as a new imaging sign for predicting hematoma growth in noncontrast computed tomography. Another parameter predicting increasing hematoma size is the well-established spot sign (SS) visible in computed tomographic angiography. We, therefore, aimed to clarify the association between established SS and novel BS and their values predicting a secondary neurological deterioration.
METHODS: Retrospective study inclusion criteria were (1) spontaneous intracerebral hemorrhage confirmed on noncontrast computed tomography and (2) noncontrast computed tomography and computed tomographic angiography performed on admission within 6 hours after onset of symptoms. We defined a binary outcome (secondary neurological deterioration versus no secondary deterioration). As secondary neurological deterioration, we defined (1) early hemicraniectomy under standardized criteria or (2) secondary decrease of Glasgow Coma Scale of >3 points, both within the first 48 hours after symptom onset.
RESULTS: Of 182 patients with spontaneous intracerebral hemorrhage, 37 (20.3%) presented with BS and 39 (21.4%) with SS. Of the 81 patients with secondary deterioration, 31 (38.3%) had BS and SS on admission. Multivariable logistic regression analysis identified hematoma volume (odds ratio, 1.07 per mL; P≤0.001), intraventricular hemorrhage (odds ratio, 3.08; P=0.008), and the presence of BS (odds ratio, 11.47; P≤0.001) as independent predictors of neurological deterioration.
CONCLUSIONS: The BS, which is obtainable in noncontrast computed tomography, shows a high correlation with the computed tomographic angiography SS and is a reliable predictor of secondary neurological deterioration after spontaneous intracerebral hemorrhage.
© 2016 American Heart Association, Inc.

Entities:  

Keywords:  angiography; diabetes mellitus; hematoma; hypertension; infarction

Mesh:

Year:  2016        PMID: 27879447     DOI: 10.1161/STROKEAHA.116.014068

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


  23 in total

Review 1.  Computed Tomography Imaging Predictors of Intracerebral Hemorrhage Expansion.

Authors:  Xin-Ni Lv; Lan Deng; Wen-Song Yang; Xiao Wei; Qi Li
Journal:  Curr Neurol Neurosci Rep       Date:  2021-03-12       Impact factor: 5.081

2.  Blood pressure reduction and noncontrast CT markers of intracerebral hemorrhage expansion.

Authors:  Andrea Morotti; Gregoire Boulouis; Javier M Romero; H Bart Brouwers; Michael J Jessel; Anastasia Vashkevich; Kristin Schwab; Mohammad Rauf Afzal; Christy Cassarly; Steven M Greenberg; Reneé Hebert Martin; Adnan I Qureshi; Jonathan Rosand; Joshua N Goldstein
Journal:  Neurology       Date:  2017-07-12       Impact factor: 9.910

Review 3.  Advances in computed tomography-based prognostic methods for intracerebral hemorrhage.

Authors:  Xiaoyu Huang; Dan Wang; Shenglin Li; Qing Zhou; Junlin Zhou
Journal:  Neurosurg Rev       Date:  2022-02-28       Impact factor: 3.042

4.  Integration of Computed Tomographic Angiography Spot Sign and Noncontrast Computed Tomographic Hypodensities to Predict Hematoma Expansion.

Authors:  Andrea Morotti; Gregoire Boulouis; Andreas Charidimou; Kristin Schwab; Christina Kourkoulis; Christopher D Anderson; M Edip Gurol; Anand Viswanathan; Javier M Romero; Steven M Greenberg; Jonathan Rosand; Joshua N Goldstein
Journal:  Stroke       Date:  2018-09       Impact factor: 7.914

5.  Expansion-Prone Hematoma: Defining a Population at High Risk of Hematoma Growth and Poor Outcome.

Authors:  Qi Li; Yi-Qing Shen; Xiong-Fei Xie; Meng-Zhou Xue; Du Cao; Wen-Song Yang; Rui Li; Lan Deng; Miao Wei; Fa-Jin Lv; Guo-Feng Wu; Zhou-Ping Tang; Peng Xie
Journal:  Neurocrit Care       Date:  2019-06       Impact factor: 3.210

6.  Blend sign predicts poor outcome in patients with intracerebral hemorrhage.

Authors:  Qi Li; Wen-Song Yang; Xing-Chen Wang; Du Cao; Dan Zhu; Fa-Jin Lv; Yang Liu; Liang Yuan; Gang Zhang; Xin Xiong; Rui Li; Yun-Xin Hu; Xin-Yue Qin; Peng Xie
Journal:  PLoS One       Date:  2017-08-22       Impact factor: 3.240

7.  Comparison of Spot Sign, Blend Sign and Black Hole Sign for Outcome Prediction in Patients with Intracerebral Hemorrhage.

Authors:  Peter B Sporns; Michael Schwake; André Kemmling; Jens Minnerup; Wolfram Schwindt; Thomas Niederstadt; Rene Schmidt; Uta Hanning
Journal:  J Stroke       Date:  2017-09-29       Impact factor: 6.967

8.  Early-Stage Estimated Value of Blend Sign on the Prognosis of Patients with Intracerebral Hemorrhage.

Authors:  Weijun Wang; Ningquan Zhou; Chao Wang
Journal:  Biomed Res Int       Date:  2018-05-06       Impact factor: 3.411

Review 9.  Heterogeneity Signs on Noncontrast Computed Tomography Predict Hematoma Expansion after Intracerebral Hemorrhage: A Meta-Analysis.

Authors:  Danfeng Zhang; Jigang Chen; Qiang Xue; Bingying Du; Ya Li; Tao Chen; Ying Jiang; Lijun Hou; Yan Dong; Junyu Wang
Journal:  Biomed Res Int       Date:  2018-01-10       Impact factor: 3.411

10.  Prognostic role of neutrophil lymphocyte ratio in patients with spontaneous intracerebral hemorrhage.

Authors:  Jing Zhang; Linrui Cai; Yanlin Song; Baoyin Shan; Min He; Qingqing Ren; Chaoyue Chen; Zhiyong Liu; Yunhui Zeng; Jianguo Xu
Journal:  Oncotarget       Date:  2017-09-08
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.