Qi Li1, Wen-Song Yang2, Sheng-Li Chen3, Fu-Rong Lv4, Fa-Jin Lv4, Xi Hu5, Dan Zhu1, Du Cao1, Xing-Chen Wang1, Rui Li1, Liang Yuan6, Xin-Yue Qin1, Peng Xie1. 1. Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China. 2. Department of Neurology, Yongchuan Hospital of Chongqing Medical University, Chongqing, China. 3. Department of Neurology, The Three Gorges Central Hospital, Chongqing, China. 4. Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China. 5. Department of Neurosurgery, The Fourth People's Hospital of Chongqing, Chongqing, China. 6. Department of Radiology, University-Town Hospital of Chongqing Medical University, Chongqing, China.
Abstract
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.
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.
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
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