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Yeh SJ, Tang SC, Tsai LK, Chen TC, Li PL, Chen YF, Kuo MF, Jeng JS. Ultrasonographic Predictors for Post-operative Ischemic Events After Indirect Revascularization Surgeries in Patients with Moyamoya Disease. ULTRASOUND IN MEDICINE & BIOLOGY 2024:S0301-5629(24)00231-X. [PMID: 39098472 DOI: 10.1016/j.ultrasmedbio.2024.05.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2024] [Revised: 05/23/2024] [Accepted: 05/27/2024] [Indexed: 08/06/2024]
Abstract
OBJECTIVE Recurrent stroke after revascularization surgeries predicts poor outcome in patients with moyamoya disease (MMD). Early identification of patients with stroke risk paves the way for rescue intervention. This study aimed to investigate the role of ultrasound in identifying patients at risk of post-operative ischemic events (PIEs). METHODS This prospective study enrolled patients with symptomatic MMD who underwent indirect revascularization surgeries. Ultrasound examinations were performed preoperatively and at 3 mo post-operatively to evaluate the hemodynamic changes in extracranial and intracranial arteries on the operated side. PIE was defined as ischemic stroke or transient ischemic attack in the operated hemisphere within 1 y. The areas under receiver operating characteristic curves were compared between models for prediction of PIE. RESULTS A total of 56 operated hemispheres from 36 patients (mean age, 23.0 ± 18.5 y) were enrolled in this study, and 27% developed PIE. In multivariate logistic regression models, PIE was associated with lower end-diastolic velocity and flow volume (FV) of the ipsilateral external carotid artery (ECA), and lower FV of ipsilateral superficial temporal artery and occipital artery at 3 mo post-operatively (all p < 0.05). Moreover, the post-operative FV of the ipsilateral ECA was the only one factor that significantly increased the areas under receiver operating characteristic curves from 0.727 to 0.932 when adding to a clinical-angiographic model for prediction of PIE (p = 0.017). This parameter was significantly lower in hemispheres with PIE, both in adult and pediatric patients. CONCLUSION After indirect revascularization, surgeries in patients with symptomatic MMD, FV of ipsilateral ECA at 3 mo helps clinicians to identify patients at risk of PIE.
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Affiliation(s)
- Shin-Joe Yeh
- Stroke Center and Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan
| | - Sung-Chun Tang
- Stroke Center and Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan.
| | - Li-Kai Tsai
- Stroke Center and Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan
| | - Tzu-Ching Chen
- Stroke Center and Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan
| | - Pei-Lin Li
- Stroke Center and Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan
| | - Ya-Fang Chen
- Department of Medical Imaging, National Taiwan University Hospital, Taipei, Taiwan
| | - Meng-Fai Kuo
- Department of Neurosurgery, National Taiwan University Hospital, Taipei, Taiwan
| | - Jiann-Shing Jeng
- Stroke Center and Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan
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Zhang B, Li J, Zeng C, Tao C, He Q, Liu C, Zheng Z, Zhao Z, Mou S, Sun W, Wang J, Zhang Q, Wang R, Zhang Y, Ge P, Zhang D. Nonalcoholic fatty liver disease is an independent risk factor for ischemic stroke after revascularization in patients with Moyamoya disease: a prospective cohort study. Lipids Health Dis 2024; 23:80. [PMID: 38494486 PMCID: PMC10944598 DOI: 10.1186/s12944-024-02065-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 02/27/2024] [Indexed: 03/19/2024] Open
Abstract
BACKGROUND The study aimed to investigate the association between nonalcoholic fatty liver disease (NAFLD) and ischemic stroke events after revascularization in patients with Moyamoya disease (MMD). METHODS This study prospectively enrolled 275 MMD patients from September 2020 to December 2021. Patients with alcoholism and other liver diseases were excluded. NAFLD was confirmed by CT imaging or abdominal ultrasonography. Stroke events and modified Rankin Scale (mRS) scores at the latest follow-up were compared between the two groups. RESULTS A total of 275 patients were enrolled in the study, among which 65 were diagnosed with NAFLD. Univariate logistic regression analysis showed that NAFLD (P = 0.029) was related to stroke events. Multivariate logistic regression analysis showed that NAFLD is a predictor of postoperative stroke in MMD patients (OR = 27.145, 95% CI = 2.031-362.81, P = 0.013). Kaplan-Meier analysis showed that compared with MMD patients with NAFLD, patients in the control group had a longer stroke-free time (P = 0.004). Univariate Cox analysis showed that NAFLD (P = 0.016) was associated with ischemic stroke during follow-up in patients with MMD. Multivariate Cox analysis showed that NAFLD was an independent risk factor for stroke in patients with MMD (HR = 10.815, 95% CI = 1.259-92.881, P = 0.030). Furthermore, fewer patients in the NAFLD group had good neurologic status (mRS score ≤ 2) than the control group (P = 0.005). CONCLUSION NAFLD was an independent risk factor for stroke in patients with MMD after revascularization and worse neurological function outcomes.
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Affiliation(s)
- Bojian Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Junsheng Li
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Chaofan Zeng
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Chuming Tao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Qiheng He
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Chenglong Liu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Zhiyao Zheng
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Zhikang Zhao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Siqi Mou
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Wei Sun
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Jia Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Qian Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Rong Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Yan Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Peicong Ge
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.
- China National Clinical Research Center for Neurological Diseases, Beijing, China.
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China.
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China.
| | - Dong Zhang
- Department of Neurosurgery, Beijing Hospital, National Center of Gerontology, Beijing, 100730, China.
- Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
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Liu W, Huang K, Zhang J, Zhou D, Chen J. Clinical Features and Risk Factors of Postoperative Stroke in Adult Moyamoya Disease. Brain Sci 2023; 13:1696. [PMID: 38137144 PMCID: PMC10741386 DOI: 10.3390/brainsci13121696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Revised: 11/21/2023] [Accepted: 12/05/2023] [Indexed: 12/24/2023] Open
Abstract
BACKGROUND AND PURPOSE The clinical features of and risk factors for postoperative stroke after surgical revascularization in adult moyamoya disease (MMD) have not been fully elucidated. To this end, the baseline clinical features were hereby described, and the risk factors for postoperative stroke were determined. METHODS Data of 4078 MMD inpatients were collected retrospectively across all secondary- and higher-level hospitals of Hubei Province from January 2019 to December 2020. In accordance with inclusion and exclusion criteria, 559 adult MMD inpatients were finally enrolled. The associated characteristics and potential risk factors were analyzed, and the Kaplan-Meier risk of stroke was also calculated. RESULTS The patients consisted of 286 females and 273 males, with a mean age of 49.1 ± 10.0 years, all of whom had at least 1 year of follow-up (median 25.1 months). There were 356 cases of preoperative ischemic symptoms and 203 cases of preoperative hemorrhage symptoms. Indirect, direct, and combined revascularization were conducted on 97, 105 and 357 patients, respectively. Among these patients, 17 had postoperative hemorrhagic stroke (PHS), and 43 had postoperative ischemic stroke (PIS). A comparison between PHS/PIS group and control group (patients without postoperative stroke events) showed that preoperative hemorrhage was significantly associated with PHS (p = 0.003), while hypertension (p = 0.003), diabetes mellitus (p = 0.003) and modified Rankin scale (mRS) (p = 0.034) at admission were associated with a higher rate of PIS. Furthermore, preoperative hemorrhagic stroke was identified as a risk factor for PHS (odds ratio [OR], 4.229 [95% CI, 1.244-14.376]; p = 0.021), while hypertension (odds ratio [OR], 0.424 [95% CI, 0.210-0.855]; p = 0.017), diabetes mellitus (odds ratio [OR], 0.368 [95% CI, 0.163-0.827]; p = 0.016) and admission mRS (odds ratio [OR], 2.301 [95% CI, 1.157-4.575]; p = 0.017) were found to be risk factors for PIS. CONCLUSIONS The age distribution of adult MMD patients with revascularization was predominantly concentrated within the range from 46 to 55 years. Preoperative hemorrhage events were considered the risk factor for PHS. Hypertension, diabetes and admission mRS were correlated with PIS, and were also the risk factors for PIS. These results indicated the possible contribution of enhancing systematic disease management to the prevention of postoperative cerebrovascular accidents.
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Affiliation(s)
- Wen Liu
- Department of Neurosurgery, Zhongnan Hospital, Wuhan University, Donghu Road 169, Wuhan 430071, China; (W.L.); (K.H.); (J.Z.)
- Neuroepigenetic Research Lab, Medical Research Institute, Wuhan University, Donghu Road 115, Wuhan 430071, China
| | - Kaixin Huang
- Department of Neurosurgery, Zhongnan Hospital, Wuhan University, Donghu Road 169, Wuhan 430071, China; (W.L.); (K.H.); (J.Z.)
- Neuroepigenetic Research Lab, Medical Research Institute, Wuhan University, Donghu Road 115, Wuhan 430071, China
| | - Jianjian Zhang
- Department of Neurosurgery, Zhongnan Hospital, Wuhan University, Donghu Road 169, Wuhan 430071, China; (W.L.); (K.H.); (J.Z.)
- Neuroepigenetic Research Lab, Medical Research Institute, Wuhan University, Donghu Road 115, Wuhan 430071, China
| | - Da Zhou
- Center for Health Information and Statistics of Hubei, Wuhan 430071, China;
| | - Jincao Chen
- Department of Neurosurgery, Zhongnan Hospital, Wuhan University, Donghu Road 169, Wuhan 430071, China; (W.L.); (K.H.); (J.Z.)
- Neuroepigenetic Research Lab, Medical Research Institute, Wuhan University, Donghu Road 115, Wuhan 430071, China
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Yu X, Ge P, Zhai Y, Liu W, Zhang Q, Ye X, Liu X, Wang R, Zhang Y, Zhao J, Zhang D. The prognostic nutrition index is a predictor for long-term outcomes after revascularization in adult moyamoya disease. Acta Neurochir (Wien) 2023; 165:3623-3630. [PMID: 37777693 DOI: 10.1007/s00701-023-05816-y] [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: 06/15/2023] [Accepted: 09/10/2023] [Indexed: 10/02/2023]
Abstract
BACKGROUND AND PURPOSE The prognostic nutrition index (PNI) has been associated with the prognosis of various medical disorders. This study aimed to explore the correlation between PNI and the long-term outcomes of adult patients afflicted with moyamoya disease (MMD). METHODS This prospective study initially employed 138 adult patients diagnosed with MMD. After excluding 15 patients who did not meet the criteria, a total of 123 patients were included. Participants were divided into three groups based on the tertile of change in the PNI score. Statistical analysis compared clinical information and lab tests among the groups. The study was conducted between July 1 and December 31, 2019. RESULTS After adjusting for multiple variables, patients in the upper two tertiles (tertiles 2-3) exhibited a significantly lower risk of adverse long-term outcomes compared to those in the lowest tertile (tertile 1) (OR, 0.089; 95% CI, 0.009-0.895; P = 0.040). Furthermore, adding PNI tertile to traditional risk factors substantially improved predicting adverse long-term outcomes (net reclassification improvement: 98.03%, P = 0.000; integrated discrimination improvement: 4.65%, P = 0.030). However, there was no statistically significant difference between the first PNI tertile (tertile 1) and the upper two tertiles (tertiles 2-3) in the Kaplan-Meier curve of stroke incidence (log-rank test, P = 0.244). CONCLUSIONS A higher PNI level was significantly associated with a reduced risk of unfavorable long-term outcomes. Nevertheless, the PNI score did not predict stroke recurrence during extended follow-up. This study provides insights into a potential predictor of adverse long-term outcomes after revascularization in MMD patients. REGISTRATION NUMBER ChiCTR2000031412.
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Affiliation(s)
- Xiaofan Yu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Peicong Ge
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
- China National Clinical Research Center for Neurological Diseases, Beijing, China.
- Center of Stroke Beijing Institute for Brain Disorders, Beijing, China.
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China.
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China.
| | - Yuanren Zhai
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Wei Liu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Qian Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Xun Ye
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Xingju Liu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Rong Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Yan Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Jizong Zhao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
- Savaid Medical School, University of Chinese Academy of Sciences, Beijing, China
| | - Dong Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
- China National Clinical Research Center for Neurological Diseases, Beijing, China.
- Center of Stroke Beijing Institute for Brain Disorders, Beijing, China.
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China.
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China.
- Department of Neurosurgery, Beijing Hospital, Beijing, China.
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