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Xia X, Zhang X, Cui J, Jiang Q, Guan S, Liang K, Wang H, Wang C, Huang C, Dong H, Han K, Meng X. Difference of mean Hounsfield units (dHU) between follow-up and initial noncontrast CT scan predicts 90-day poor outcome in spontaneous supratentorial acute intracerebral hemorrhage with deep convolutional neural networks. Neuroimage Clin 2023; 38:103378. [PMID: 36931003 PMCID: PMC10036865 DOI: 10.1016/j.nicl.2023.103378] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Revised: 02/22/2023] [Accepted: 03/09/2023] [Indexed: 03/17/2023]
Abstract
OBJECTIVES This study aimed to investigate the usefulness of a new non-contrast CT scan (NCCT) sign called the dHU, which represented the difference in mean Hounsfield unit values between follow-up and the initial NCCT for predicting 90-day poor functional outcomes in acute supratentorial spontaneous intracerebral hemorrhage(sICH) using deep convolutional neural networks. METHODS A total of 377 consecutive patients with sICH from center 1 and 91 patients from center 2 (external validation set) were included. A receiver operating characteristic (ROC) analysis was performed to determine the critical value of dHU for predicting poor outcome at 90 days. Modified Rankin score (mRS) >3 or >2 was defined as the primary and secondary poor outcome, respectively. Two multivariate models were developed to test whether dHU was an independent predictor of the two unfavorable functional outcomes. RESULTS The ROC analysis showed that a dHU >2.5 was a critical value to predict the poor outcomes (mRS >3) in sICH. The sensitivity, specificity, and accuracy of dHU >2.5 for poor outcome prediction were 37.5%, 86.0%, and 70.6%, respectively. In multivariate models developed after adjusting for all elements of the ICH score and hematoma expansion, dHU >2.5 was an independent predictor of both primary and secondary poor outcomes (OR = 2.61, 95% CI [1.32,5.13], P = 0.006; OR = 2.63, 95% CI [1.36,5.10], P = 0.004, respectively). After adjustment for all possible significant predictors (p < 0.05) by univariate analysis, dHU >2.5 had a positive association with primary and secondary poor outcomes (OR = 3.25, 95% CI [1.52,6.98], P = 0.002; OR = 3.42, 95% CI [1.64,7.15], P = 0.001). CONCLUSIONS The dHU of hematoma based on serial CT scans is independently associated with poor outcomes after acute sICH, which may help predict clinical evolution and guide therapy for sICH patients.
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Affiliation(s)
- Xiaona Xia
- Department of Radiology, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, Qingdao, China
| | - Xiaoqian Zhang
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Jiufa Cui
- Department of Radiology, the Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Qingjun Jiang
- Department of Radiology, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, Qingdao, China
| | - Shuai Guan
- Department of Radiology, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, Qingdao, China
| | - Kongming Liang
- Department of Research Collaboration, R&D Center, Beijing Deepwise & League of PHD Technology Co., Ltd., Beijing 100080, China
| | - Hao Wang
- Department of Research Collaboration, R&D Center, Beijing Deepwise & League of PHD Technology Co., Ltd., Beijing 100080, China
| | - Chao Wang
- Department of Radiology, Jiaozhou People's Hospital, Qingdao, China
| | - Chencui Huang
- Department of Research Collaboration, R&D Center, Beijing Deepwise & League of PHD Technology Co., Ltd., Beijing 100080, China
| | - Hao Dong
- Department of Research Collaboration, R&D Center, Beijing Deepwise & League of PHD Technology Co., Ltd., Beijing 100080, China
| | - Kai Han
- Department of Research Collaboration, R&D Center, Beijing Deepwise & League of PHD Technology Co., Ltd., Beijing 100080, China
| | - Xiangshui Meng
- Department of Radiology, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, Qingdao, China.
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Morotti A, Boulouis G, Dowlatshahi D, Li Q, Shamy M, Al-Shahi Salman R, Rosand J, Cordonnier C, Goldstein JN, Charidimou A. Intracerebral haemorrhage expansion: definitions, predictors, and prevention. Lancet Neurol 2023; 22:159-171. [PMID: 36309041 DOI: 10.1016/s1474-4422(22)00338-6] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 08/04/2022] [Accepted: 08/09/2022] [Indexed: 12/05/2022]
Abstract
Haematoma expansion affects a fifth of patients within 24 h of the onset of acute intracerebral haemorrhage and is associated with death and disability, which makes it an appealing therapeutic target. The time in which active intervention can be done is short as expansion occurs mostly within the first 3 h after onset. Baseline haemorrhage volume, antithrombotic treatment, and CT angiography spot signs are each associated with increased risk of haematoma expansion. Non-contrast CT features are promising predictors of haematoma expansion, but their potential contribution to current models is under investigation. Blood pressure lowering and haemostatic treatment minimise haematoma expansion but have not led to improved functional outcomes in randomised clinical trials. Ultra-early enrolment and selection of participants on the basis of non-contrast CT imaging markers could focus future clinical trials to show clinical benefit in people at high risk of expansion or investigate heterogeneity of treatment effects in clinical trials with broad inclusion criteria.
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Affiliation(s)
- Andrea Morotti
- Neurology Unit, Department of Neurological Sciences and Vision, Azienda Socio Sanitaria Territoriale Spedali Civili, Brescia, Italy.
| | - Gregoire Boulouis
- Diagnostic and Interventional Neuroradiology Department, University Hospital of Tours, Tours, France
| | - Dar Dowlatshahi
- Department of Medicine, Division of Neurology, University of Ottawa and Ottawa Hospital Research Institute, Ottawa ON, Canada
| | - Qi Li
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Michel Shamy
- Department of Medicine, Division of Neurology, University of Ottawa and Ottawa Hospital Research Institute, Ottawa ON, Canada
| | | | - Jonathan Rosand
- Division of Neurocritical Care, Massachusetts General Hospital, Boston, MA, USA; Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
| | - Charlotte Cordonnier
- Universite Lille, Inserm, CHU Lille, U1172, LilNCog, Lille Neuroscience and Cognition, F-59000 Lille, France
| | - Joshua N Goldstein
- Division of Neurocritical Care, Massachusetts General Hospital, Boston, MA, USA; Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Andreas Charidimou
- Department of Neurology, Boston University Medical Center, Boston University School of Medicine, Boston, MA, USA
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