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Liang Y, Yu Y, Liu J, Li X, Chen X, Zhou H, Guo ZN. Blood-brain barrier disruption and hemorrhagic transformation in acute stroke before endovascular reperfusion therapy. Front Neurol 2024; 15:1349369. [PMID: 38756220 PMCID: PMC11097340 DOI: 10.3389/fneur.2024.1349369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 03/19/2024] [Indexed: 05/18/2024] Open
Abstract
Background and purpose Early blood-brain barrier (BBB) disruption in patients with acute ischemic stroke (AIS) can be detected on perfusion computed tomography (PCT) images before undergoing reperfusion therapy. In this study, we aimed to determine whether early disruption of the BBB predicts intracranial hemorrhage transformation (HT) in patients with AIS undergoing endovascular therapy and further identify factors influencing BBB disruption. Methods We retrospectively analyzed general clinical and imaging data derived from 159 consecutive patients with acute anterior circulation stroke who were admitted to the Department of Neurology of the First Hospital of Jilin University, and who underwent endovascular treatment between January 1, 2021, and March 31, 2023. We evaluated the relationship between BBB destruction and intracranial HT before endovascular reperfusion therapy and examined the risk factors for early BBB destruction. Results A total of 159 patients with assessable BBB leakage were included. The median (interquartile range, IQR) age was 63 (54-70) years, 108 (67.9%) patients were male, and the median baseline National Institutes of Health Stroke Scale (NHISS) score was 12 (10-15). Follow-up non-contrast computed tomography (NCCT) detected HT in 63 patients. After logistic regression modeling adjustment, we found that BBB leakage in the true leakage area was slightly more than 2-fold risk of HT (odds ratio [OR], 2.01; 95% confidence interval [CI] 1.02-3.92). Heart rate was also associated with HT (OR, 1.03, 95% CI, 1.00-1.05). High Blood-brain barrier permeability (BBBP) in the true leakage area was positively correlated with infarct core volume (OR, 1.03; 95% CI, 1.01-1.05). Conclusion Early BBB destruction before endovascular reperfusion therapy was associated with HT, whereas high BBBP correlated positively with infarct core volume.
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Affiliation(s)
- Yuchen Liang
- Department of Radiology, The First Hospital of Jilin University, Changchun, China
| | - Yang Yu
- Siemens Healthineers Ltd. CT Collaboration, Siemens Healthineers Ltd., Beijing, China
| | - Jiaxin Liu
- Department of Radiology, The First Hospital of Jilin University, Changchun, China
| | - Xuewei Li
- Department of Radiology, The First Hospital of Jilin University, Changchun, China
| | - Xue Chen
- Department of Radiology, The First Hospital of Jilin University, Changchun, China
| | - Hongwei Zhou
- Department of Radiology, The First Hospital of Jilin University, Changchun, China
| | - Zhen-Ni Guo
- Department of Neurology, Stroke Center, The First Hospital of Jilin University, Changchun, China
- Department of Neurology, Neuroscience Research Center, The First Hospital of Jilin University, Changchun, China
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Li M, Lv Y, Wang M, Zhang Y, Pan Z, Luo Y, Zhang H, Wang J. Magnetic Resonance Perfusion-Weighted Imaging in Predicting Hemorrhagic Transformation of Acute Ischemic Stroke: A Retrospective Study. Diagnostics (Basel) 2023; 13:3404. [PMID: 37998540 PMCID: PMC10670343 DOI: 10.3390/diagnostics13223404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 11/03/2023] [Accepted: 11/06/2023] [Indexed: 11/25/2023] Open
Abstract
Hemorrhagic transformation (HT) is one of the common complications in patients with acute ischemic stroke (AIS). This study aims to investigate the value of different thresholds of Tmax generated from perfusion-weighted MR imaging (PWI) and the apparent diffusion coefficient (ADC) value in the prediction of HT in AIS. A total of 156 AIS patients were enrolled in this study, with 55 patients in the HT group and 101 patients in non-HT group. The clinical baseline data and multi-parametric MRI findings were compared between HT and non-HT groups to identify indicators related to HT. The optimal parameters for predicting HT and the corresponding cutoff values were obtained using the receiver operating characteristic curve analysis of the volumes of ADC < 620 × 10-6 mm2/s and Tmax > 6 s, 8 s, and 10 s. The results showed that the volumes of ADC < 620 × 10-6 mm2/s and Tmax > 6 s, 8 s, and 10 s in the HT group were all significantly larger than that in the non-HT group and were all independent risk factors for HT. Early measurement of the volume of Tmax > 10 s had the highest value, with a cutoff lesion volume of 10.5 mL.
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Affiliation(s)
- Ming Li
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; (M.L.); (Z.P.)
- Department of Radiology, Shanghai Fourth People’s Hospital, School of Medicine, Tongji University, Shanghai 200434, China; (Y.L.); (M.W.); (Y.Z.); (Y.L.)
| | - Yifan Lv
- Department of Radiology, Shanghai Fourth People’s Hospital, School of Medicine, Tongji University, Shanghai 200434, China; (Y.L.); (M.W.); (Y.Z.); (Y.L.)
| | - Mingming Wang
- Department of Radiology, Shanghai Fourth People’s Hospital, School of Medicine, Tongji University, Shanghai 200434, China; (Y.L.); (M.W.); (Y.Z.); (Y.L.)
| | - Yaying Zhang
- Department of Radiology, Shanghai Fourth People’s Hospital, School of Medicine, Tongji University, Shanghai 200434, China; (Y.L.); (M.W.); (Y.Z.); (Y.L.)
| | - Zilai Pan
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; (M.L.); (Z.P.)
| | - Yu Luo
- Department of Radiology, Shanghai Fourth People’s Hospital, School of Medicine, Tongji University, Shanghai 200434, China; (Y.L.); (M.W.); (Y.Z.); (Y.L.)
| | - Haili Zhang
- Southeast University Hospital, Southeast University, Nanjing 210096, China
| | - Jing Wang
- Department of Radiology, Shanghai Fourth People’s Hospital, School of Medicine, Tongji University, Shanghai 200434, China; (Y.L.); (M.W.); (Y.Z.); (Y.L.)
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Ren H, Song H, Wang J, Xiong H, Long B, Gong M, Liu J, He Z, Liu L, Jiang X, Li L, Li H, Cui S, Li Y. A clinical-radiomics model based on noncontrast computed tomography to predict hemorrhagic transformation after stroke by machine learning: a multicenter study. Insights Imaging 2023; 14:52. [PMID: 36977913 PMCID: PMC10050271 DOI: 10.1186/s13244-023-01399-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 03/08/2023] [Indexed: 03/30/2023] Open
Abstract
OBJECTIVE To build a clinical-radiomics model based on noncontrast computed tomography images to identify the risk of hemorrhagic transformation (HT) in patients with acute ischemic stroke (AIS) following intravenous thrombolysis (IVT). MATERIALS AND METHODS A total of 517 consecutive patients with AIS were screened for inclusion. Datasets from six hospitals were randomly divided into a training cohort and an internal cohort with an 8:2 ratio. The dataset of the seventh hospital was used for an independent external verification. The best dimensionality reduction method to choose features and the best machine learning (ML) algorithm to develop a model were selected. Then, the clinical, radiomics and clinical-radiomics models were developed. Finally, the performance of the models was measured using the area under the receiver operating characteristic curve (AUC). RESULTS Of 517 from seven hospitals, 249 (48%) had HT. The best method for choosing features was recursive feature elimination, and the best ML algorithm to build models was extreme gradient boosting. In distinguishing patients with HT, the AUC of the clinical model was 0.898 (95% CI 0.873-0.921) in the internal validation cohort, and 0.911 (95% CI 0.891-0.928) in the external validation cohort; the AUC of radiomics model was 0.922 (95% CI 0.896-0.941) and 0.883 (95% CI 0.851-0.902), while the AUC of clinical-radiomics model was 0.950 (95% CI 0.925-0.967) and 0.942 (95% CI 0.927-0.958) respectively. CONCLUSION The proposed clinical-radiomics model is a dependable approach that could provide risk assessment of HT for patients who receive IVT after stroke.
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Affiliation(s)
- Huanhuan Ren
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuzhong District, Chongqing, 400016, China
- Department of Radiology, Chongqing General Hospital, Chongqing, China
| | - Haojie Song
- College of Computer and Information Science, Chongqing Normal University, No. 37, Middle University Town Road, Shapingba District, Chongqing, 400016, China
| | - Jingjie Wang
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuzhong District, Chongqing, 400016, China
| | - Hua Xiong
- Department of Radiology, Chongqing General Hospital, Chongqing, China
| | - Bangyuan Long
- Department of Radiology, Chongqing General Hospital, Chongqing, China
| | - Meilin Gong
- Department of Radiology, Chongqing General Hospital, Chongqing, China
| | - Jiayang Liu
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuzhong District, Chongqing, 400016, China
| | - Zhanping He
- Department of Radiology, Haikou Affiliated Hospital of Central South University Xiangya School of Medicine, Haikou, China
| | - Li Liu
- Department of Radiology, People's Hospital of Yubei District of Chongqing City, Chongqing, China
| | - Xili Jiang
- Department of Radiology, The Second People's Hospital of Hunan Province/Brain Hospital of Hunan Province, Changsha, China
| | - Lifeng Li
- Department of Radiology, Changsha Central Hospital (The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China), Changsha, China
| | - Hanjian Li
- Department of Radiology, The First Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Shaoguo Cui
- College of Computer and Information Science, Chongqing Normal University, No. 37, Middle University Town Road, Shapingba District, Chongqing, 400016, China.
| | - Yongmei Li
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuzhong District, Chongqing, 400016, China.
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Faropoulos K, Tsolaki V, Georgakopoulou VE, Trakas I, Tarantinos K, Papalexis P, Spandidos DA, Aravantinou-Fatorou A, Mathioudakis N, Trakas N, Lavdas E, Fotakopoulos G. Value of sildenafil treatment for the prevention of vasospasm‑related delayed ischemic neurological deficits and delayed brain infarction following aneurysmal subarachnoid hemorrhage. MEDICINE INTERNATIONAL 2023; 3:19. [PMID: 37032716 PMCID: PMC10080186 DOI: 10.3892/mi.2023.79] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/23/2022] [Accepted: 03/14/2023] [Indexed: 04/11/2023]
Abstract
Cerebral vasospasm (CV) or delayed cerebral ischemia (DCI) constitutes the main reason for the unfavorable outcomes of patients with aneurysmal subarachnoid hemorrhage (aSAH). The present retrospective cohort study, through an evaluation with computed tomography (CT) perfusion (CTP), aimed to examine the utility of an intravenous or oral administration of sildenafil in preventing DCI that develops due to vasospasm in these patients. A retrospective cohort study was conducted, which included 34 patients in a tertiary care hospital. Of these patients, 18 were males (52.9%), and the median age was 54.4 years. Of these patients, 18 (52.9%) had undergone surgery, and 16 (47.1%) had an endovascular procedure. CTP was performed on the 3rd to the 6th day. The clinical outcome was documented at 30 days using a CT scan and a complete neurological evaluation, including the Glasgow Coma Scale assessment. There was a statistically significant difference in the number of patients who developed an ischemic event at 1 month between those who did not receive sildenafil compared to those who received sildenafil (P<0.05). In addition, the multivariate analysis revealed that cerebral blood flow was an independent factor for detecting an ischemic event in 1 month (P=0.001). On the whole, the findings of the present study indicate that the intravenous or oral administration of sildenafil may be beneficial for the prevention of DCI.
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Affiliation(s)
| | - Vasiliki Tsolaki
- Department of Pulmonary and Critical Care Medicine, General University Hospital of Larissa, 41221 Larissa, Greece
| | - Vasiliki Epameinondas Georgakopoulou
- Department of Infectious Diseases-COVID19 Unit, Laiko General Hospital, 11527 Athens, Greece
- Correspondence to: Dr Vasiliki Epameinondas Georgakopoulou, Department of Infectious Diseases-COVID19 Unit, Laiko General Hospital, 17 Agiou Thoma Street, 11527 Athens, Greece
| | - Ilias Trakas
- Department of Infectious Diseases-COVID19 Unit, Laiko General Hospital, 11527 Athens, Greece
| | - Kyriakos Tarantinos
- First Department of Pulmonology, Sismanogleio Hospital, 15126 Athens, Greece
| | - Petros Papalexis
- Unit of Endocrinology, First Department of Internal Medicine, Laiko General Hospital, National and Kapodistrian University of Athens, 11527 Athens, Greece
- Department of Biomedical Sciences, University of West Attica, 12243 Athens, Greece
| | - Demetrios A. Spandidos
- Laboratory of Clinical Virology, School of Medicine, University of Crete, 71003 Heraklion, Greece
| | - Aikaterini Aravantinou-Fatorou
- First Department of Internal Medicine, Laiko General Hospital, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece
| | | | - Nikolaos Trakas
- Department of Biochemistry, Sismanogleio Hospital, 15126 Athens, Greece
| | - Eleftherios Lavdas
- Department of Medical Radiological Technologists, Technological Education Institute of Athens, 12243 Athens, Greece
| | - George Fotakopoulos
- Department of Neurosurgery, General University Hospital of Larissa, 41221 Larissa, Greece
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Tsolaki V, Aravantinou-fatorou A, Georgakopoulou VE, Spandidos DA, Papalexis P, Mathioudakis N, Tarantinos K, Trakas N, Sklapani P, Fotakopoulos G. Early diagnosis of cerebral vasospasm associated with cerebral ischemia following subarachnoid hemorrhage: Evaluation of computed tomography perfusion and transcranial doppler as accurate methods. MEDICINE INTERNATIONAL 2022; 2:34. [PMID: 36699155 PMCID: PMC9829237 DOI: 10.3892/mi.2022.59] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 11/01/2022] [Indexed: 01/27/2023]
Abstract
Cerebral vasospasm (CV) constitutes a major post-operative complication and source of morbidity in cases of subarachnoid hemorrhage (SAH). The early detection of CV in SAH may be difficult both clinically and radiographically. The present pilot study thus aimed to evaluate the practicability of the technique in a tertiary healthcare setting and to assess the diagnostic effectiveness of various diagnostic computed tomography (CT) perfusion (CTP) aspects in predicting the clinical outcome of patients with SAH (traumatic and aneurysmal). A retrospective study including 34 patients in a tertiary care hospital was thus conducted. The results revealed that of the 34 patients, 18 (52.9%) were males, and the mean age was 54.4±18.5 years (16-85 years old; range, 69 years). In total, 15 (44.1%) patients had traumatic SAH following traumatic brain injury (TBI), 11 (33.3%) had aneurysmal SAH, and 8 patients (23.6%) presented with TBI without SAH as controls. CTP was performed on the third to the sixth day, and 15-20 min prior to CPT, a transcranial Doppler ultrasound was performed. Clinical outcomes were documented at 30 days using a CT scan and a complete neurological evaluation, including Glasgow Coma Scale assessment. The results of a multivariate analysis revealed that cerebral blood flow (CBF) was an independent factor for detecting an ischemic event in 1 month (P=0.003). On the whole, the present study demonstrates that CTP, and consequently CBF, is a considerable index that may identify the onset of cerebral ischemia in patients with SAH.
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Affiliation(s)
- Vasiliki Tsolaki
- Department of Pulmonary and Critical Care Medicine, General University Hospital of Larisa, 41221 Larisa, Greece
| | - Aikaterini Aravantinou-fatorou
- First Department of Internal Medicine, Laiko General Hospital, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece
| | - Vasiliki Epameinondas Georgakopoulou
- Department of Infectious Diseases and COVID-19 Unit, Laiko General Hospital, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece,Correspondence to: Dr Vasiliki Epameinondas Georgakopoulou, Department of Infectious Diseases and COVID-19 Unit, Laiko General Hospital, Medical School, National and Kapodistrian University of Athens, 17 Agiou Thoma Street, 11527 Athens, Greece
| | - Demetrios A. Spandidos
- Laboratory of Clinical Virology, Medical School, University of Crete, 71003 Heraklion, Greece
| | - Petros Papalexis
- Unit of Endocrinology, First Department of Internal Medicine, Laiko General Hospital, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece,Department of Biomedical Sciences, University of West Attica, 12243 Athens, Greece
| | | | - Kyriakos Tarantinos
- First Department of Pulmonology, Sismanogleio Hospital, 15126 Athens, Greece
| | - Nikolaos Trakas
- Department of Biochemistry, Sismanogleio Hospital, 15126 Athens, Greece
| | - Pagona Sklapani
- Department of Cytology, Mitera Hospital, 15123 Athens, Greece
| | - George Fotakopoulos
- Department of Neurosurgery, General University Hospital of Larisa, 41221 Larisa, Greece
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Wang L, Liu L, Zhao Y, Gao D, Yang Y, Chu M, Teng J. Analysis of Factors Associated with Hemorrhagic Transformation in Acute Cerebellar Infarction. J Stroke Cerebrovasc Dis 2022; 31:106538. [PMID: 35523054 DOI: 10.1016/j.jstrokecerebrovasdis.2022.106538] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Revised: 04/18/2022] [Accepted: 04/24/2022] [Indexed: 11/30/2022] Open
Abstract
OBJECTIVES Hemorrhagic transformation (HT) is a frequent and severe complication of ischemic stroke. This study aimed to evaluate the factors associated with the occurrence of HT in patients with acute cerebellar infarction. MATERIALS AND METHODS A total of 190 patients, 141 male (74.2%) and 49 female (25.8%) with mean age 61.84 ± 12.16 years, who were admitted within 72 h of acute cerebellar infarction onset from January 2017 to March 2021 were retrospectively recruited. The multivariate logistic regression analysis was used to evaluate the independent influent factors for HT and receiver-operating characteristic (ROC) curve was applied to calculate the predictive value of those factors for HT in patients with acute cerebellar infarction. RESULTS 37 out of 190 recruited patients (19.47%) had HT within 14 days after acute cerebellar infarction onset. The incidence rates of HT occurring within 3 days, 3-7 days and 7-14 days were 13.5%, 40.5% and 45.9%, respectively. Results of the multivariable logistic regression analysis indicated that atrial fibrillation (AF) (OR 6.196, 95% CI 1.357-28.302, P = 0.019), infarct diameter (OR 5.813, 95% CI 2.932-11.526, P < 0.001), white matter hyperintensity (WMH) (OR 2.44, 95% CI 1.134-5.252, P = 0.023) were independent risk factors for HT in acute cerebellar infarction, while lymphocyte count (OR 0.319, 95% CI 0.142-0.716, P = 0.006) showed an independently protective effect. CONCLUSIONS Infarct diameter, AF and WMH are independent risk factors for HT in patients with acute cerebellar infarction, while the lymphocyte count is a protective factor.
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Affiliation(s)
- Lanjing Wang
- Department of Neurology, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, Shandong, China
| | - Lijun Liu
- Department of Neurology, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, Shandong, China
| | - Yanhong Zhao
- Department of Neurology, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, Shandong, China
| | - Di Gao
- Department of Neurology, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, Shandong, China
| | - Yanhong Yang
- Department of Neurology, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, Shandong, China
| | - Min Chu
- Department of Neurology, Minhang Hospital, Fudan University, Shanghai, China
| | - Jijun Teng
- Department of Neurology, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, Shandong, China.
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Honig A, Percy J, Sepehry AA, Gomez AG, Field TS, Benavente OR. Hemorrhagic Transformation in Acute Ischemic Stroke: A Quantitative Systematic Review. J Clin Med 2022; 11:jcm11051162. [PMID: 35268253 PMCID: PMC8910828 DOI: 10.3390/jcm11051162] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2021] [Revised: 02/13/2022] [Accepted: 02/17/2022] [Indexed: 02/06/2023] Open
Abstract
The prevalence and risk factors of hemorrhagic transformation (HT) after acute ischemic stroke HT have not been adequately delineated. We performed a systematic review and meta-analysis to identify English-language prospective observational MEDLINE and EMBASE-listed reports of acute ischemic stroke with HT published from 1985–2017. Studies that used the ECASS-2 definitions of hemorrhagic transformation subtypes, hemorrhagic infarction (HI), and parenchymal hematoma (PH) were included. Patients treated with intravenous thrombolysis with tissue plasminogen activator (IV-tPA) were compared with those who did not receive thrombolysis. A total of 65 studies with 17,259 patients met inclusion criteria. Overall, HT prevalence was 27%; 32% in patients receiving IV-tPA vs. 20% in those without. Overall PH prevalence was 9%; 12% in IV-tPA treated patients vs. 5% in those without. HT was associated with a history of atrial fibrillation (OR 2.94) and use of anticoagulants (OR 2.47). HT patients had higher NIHSS (Hedge’s-G 0.96) and larger infarct volume (diffusion-weighted MRI, Hedge’s-G 0.8). In IV-tPA treated patients, PH correlated with antiplatelet (OR 3) and statin treatment (OR 4). HT (OR 3) and PH (OR 8) were associated with a poor outcome at 90-day (mRS 5–6). Hemorrhagic transformation is a frequent complication of acute ischemic stroke and is associated with poor outcome. Recognition of risk factors for HT and PH may reduce their incidence and severity.
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Affiliation(s)
- Asaf Honig
- Division of Neurology, Vancouver Stroke Program, University of British Columbia, Vancouver, BC V6T 2B5, Canada; (J.P.); (A.A.S.); (A.G.G.); (T.S.F.); (O.R.B.)
- Department of Neurology, Hadassah-Hebrew University Medical Center, Jerusalem 91120, Israel
- Correspondence:
| | - Jennifer Percy
- Division of Neurology, Vancouver Stroke Program, University of British Columbia, Vancouver, BC V6T 2B5, Canada; (J.P.); (A.A.S.); (A.G.G.); (T.S.F.); (O.R.B.)
| | - Amir A. Sepehry
- Division of Neurology, Vancouver Stroke Program, University of British Columbia, Vancouver, BC V6T 2B5, Canada; (J.P.); (A.A.S.); (A.G.G.); (T.S.F.); (O.R.B.)
- Clinical Psychology Program, Adler University, Vancouver, BC V6B 3J5, Canada
| | - Alejandra G. Gomez
- Division of Neurology, Vancouver Stroke Program, University of British Columbia, Vancouver, BC V6T 2B5, Canada; (J.P.); (A.A.S.); (A.G.G.); (T.S.F.); (O.R.B.)
| | - Thalia S. Field
- Division of Neurology, Vancouver Stroke Program, University of British Columbia, Vancouver, BC V6T 2B5, Canada; (J.P.); (A.A.S.); (A.G.G.); (T.S.F.); (O.R.B.)
| | - Oscar R. Benavente
- Division of Neurology, Vancouver Stroke Program, University of British Columbia, Vancouver, BC V6T 2B5, Canada; (J.P.); (A.A.S.); (A.G.G.); (T.S.F.); (O.R.B.)
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Pescatore T, Di Nica V, Finizio A, Ademollo N, Spataro F, Rauseo J, Patrolecco L. Sub-lethal effects of soil multiple contamination on the avoidance behaviour of Eisenia fetida. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2021; 226:112861. [PMID: 34628156 DOI: 10.1016/j.ecoenv.2021.112861] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 08/25/2021] [Accepted: 09/30/2021] [Indexed: 06/13/2023]
Abstract
Natural ecosystems are frequently exposed to complex mixtures of different chemicals. However, the environmental risk assessment is mainly based on data from individual substances. In this study, the individual and combined effects on the terrestrial earthworm E. fetida exposed to the anionic surfactant sodium lauryl ether sulphate (SLES) and the pesticides chlorpyrifos (CPF) and imidacloprid (IMI) were investigated, by using the avoidance behaviour as endpoint. Earthworms were exposed to a soil artificially contaminated with five sub-lethal concentrations of each contaminant, both as single substances and in combination of binary and ternary mixtures. Overall results showed that IMI provoked the highest avoidance effect on earthworms, with a concentration value that induced an avoidance rate of 50% of treated organisms (AC50) of 1.30 mg/kg, followed by CPF (AC50 75.26 mg/kg) and SLES (AC50 139.67 mg/kg). The application of the Combination Index (CI) method, indicated that a deviation from the additive response occurred for most of the tested chemical mixtures, leading to synergistic or antagonistic avoidance responses. Synergistic effects were produced by the exposure to the two lowest concentrations of the CPF+IMI mixture, and by the highest concentrations of SLES+CPF and SLES+CPF+IMI mixtures. On the contrary, antagonistic effects were observed at the lowest concentrations of the binary mixtures containing the SLES and at almost all the tested concentrations of the SLES+CPF+IMI mixture (with the exception of the highest tested concentration). These results show that the avoidance test is suitable to assess the detrimental effects exerted on earthworms by chemical mixtures in soil ecosystems and the use of behavioural endpoints can increase the ecological significance of environmental risk assessment procedures.
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Affiliation(s)
- Tanita Pescatore
- Institute of Polar Sciences - National Research Council (ISP-CNR), Rome, Italy; Department of Ecological and Biological Science (DEB-Tuscia University), Viterbo, Italy
| | - Valeria Di Nica
- Department of Earth and Environmental Sciences, University of Milano Bicocca, Milan, Italy.
| | - Antonio Finizio
- Department of Earth and Environmental Sciences, University of Milano Bicocca, Milan, Italy
| | - Nicoletta Ademollo
- Institute of Polar Sciences - National Research Council (ISP-CNR), Rome, Italy
| | - Francesca Spataro
- Institute of Polar Sciences - National Research Council (ISP-CNR), Rome, Italy
| | - Jasmin Rauseo
- Institute of Polar Sciences - National Research Council (ISP-CNR), Rome, Italy
| | - Luisa Patrolecco
- Institute of Polar Sciences - National Research Council (ISP-CNR), Rome, Italy
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Zhang XX, Yao FR, Zhu JH, Chen ZG, Shen YP, Qiao YN, Shi HC, Liang JH, Wang XM, Fang Q. Nomogram to predict haemorrhagic transformation after stroke thrombolysis: a combined brain imaging and clinical study. Clin Radiol 2021; 77:e92-e98. [PMID: 34657729 DOI: 10.1016/j.crad.2021.09.017] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 09/15/2021] [Indexed: 11/26/2022]
Abstract
AIM To construct a novel nomogram by integrating computed tomography perfusion (CTP) and clinical parameters for individualised prediction of haemorrhagic transformation (HT) in intravenous thrombolysis (IVT)-treated acute ischaemic stroke (AIS) patients. METHODS Anterior circulation AIS patients who underwent IVT at a single centre from January 2018 to June 2020 were reviewed retrospectively. The CTP parameters of two regions of interest (ROI), the entire perfusion lesion areas, and the infract core areas, were assessed. HT was documented by follow-up CT 24 ± 2 h after IVT. Multivariable logistic regression was conducted by including clinical variables and CTP parameters to identify the independent predictors of HT. A nomogram was developed based on the independent predictors. The discriminative value and calibration of the nomogram were tested by concordance indexes (C-indexes) and calibration plots. Internal validation was performed using fivefold cross-validation. RESULTS The nomogram was generated using the complete data from 341 patients. Seven variables were included in the final nomogram, including: the relative cerebral blood volume (rCBV), permeability surface (PS), and relative PS (rPS) in infract core areas, the relative time to maximum (rTmax) and rPS in entire perfusion lesion areas, the National Institutes of Health Stroke Scale (NIHSS), and atrial fibrillation (AF). The C-indexes were 0.815 and 0.817 for the nomogram and internal validation. The calibration plots showed excellent agreement. CONCLUSION This is the first study establishing a nomogram based on CTP and clinical parameters to predict HT after stroke thrombolysis.
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Affiliation(s)
- X-X Zhang
- Department of Neurology, Yancheng Third People's Hospital, Yancheng, 224000, Jiangsu Province, China; Department of Neurology, The First Affiliated Hospital of Soochow University, Soochow, 215000, Jiangsu, China
| | - F-R Yao
- Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, 215000, Jiangsu, China
| | - J-H Zhu
- Department of Neurology, The First Affiliated Hospital of Soochow University, Soochow, 215000, Jiangsu, China
| | - Z-G Chen
- Department of Neurology, The First Affiliated Hospital of Soochow University, Soochow, 215000, Jiangsu, China
| | - Y-P Shen
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, Suzhou, 215000, Jiangsu, China
| | - Y-N Qiao
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, Suzhou, 215000, Jiangsu, China
| | - H-C Shi
- Department of Neurology, Yancheng Third People's Hospital, Yancheng, 224000, Jiangsu Province, China
| | - J-H Liang
- Department of Imaging, Medical College of Soochow University, Suzhou, 215000, Jiangsu Province, China
| | - X-M Wang
- Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, 215000, Jiangsu, China.
| | - Q Fang
- Department of Neurology, The First Affiliated Hospital of Soochow University, Soochow, 215000, Jiangsu, China.
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10
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Arba F, Piccardi B, Palumbo V, Biagini S, Galmozzi F, Iovene V, Giannini A, Testa GD, Sodero A, Nesi M, Gadda D, Moretti M, Lamassa M, Pescini F, Poggesi A, Sarti C, Nannoni S, Pracucci G, Limbucci N, Nappini S, Renieri L, Grifoni S, Fainardi E, Inzitari D, Nencini P. Blood-brain barrier leakage and hemorrhagic transformation: The Reperfusion Injury in Ischemic StroKe (RISK) study. Eur J Neurol 2021; 28:3147-3154. [PMID: 34143500 DOI: 10.1111/ene.14985] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Revised: 06/14/2021] [Accepted: 06/14/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND AND PURPOSE In patients with acute ischemic stroke treated with reperfusion therapy we aimed to evaluate whether pretreatment blood-brain barrier (BBB) leakage is associated with subsequent hemorrhagic transformation (HT). METHODS We prospectively screened patients with acute ischemic stroke treated with intravenous thrombolysis and/or endovascular treatment. Before treatment, each patient received computed tomography (CT), CT angiography, and CT perfusion. We assessed pretreatment BBB leakage within the ischemic area using the volume transfer constant (Ktrans ) value. Our primary outcome was relevant HT, defined as hemorrhagic infarction type 2 or parenchymal hemorrhage type 1 or 2. We evaluated independent associations between BBB leakage and HT using logistic regression, adjusting for age, sex, baseline stroke severity, Alberta Stroke Program Early CT Score (ASPECTS) ≥ 6, treatment type, and onset-to-treatment time. RESULTS We enrolled 171 patients with available assessment of BBB leakage. The patients' mean (±SD) age was 75.5 (±11.8) years, 86 (50%) were men, and the median (interquartile range) National Institutes of Health Stroke Scale score was 18 (12-23). A total of 32 patients (18%) received intravenous thrombolysis, 102 (60%) underwent direct endovascular treatment, and 37 (22%) underwent both. Patients with relevant HT (N = 31;18%) had greater mean BBB leakage (Ktrans 0.77 vs. 0.60; p = 0.027). After adjustment in the logistic regression model, we found that BBB leakage was associated both with a more than twofold risk of relevant HT (odds ratio [OR] 2.50; 95% confidence interval [CI] 1.03-6.03 per Ktrans point increase; OR 2.34; 95% CI 1.06-5.17 for Ktrans values > 0.63 [mean BBB leakage value]) and with symptomatic intracerebral hemorrhage (OR 4.30; 95% CI 1.13-13.77 per Ktrans point increase). CONCLUSION Pretreatment BBB leakage before reperfusion therapy was associated with HT, and may help to identify patients at risk of HT.
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Affiliation(s)
- Francesco Arba
- Stroke Unit, Careggi University Hospital, Florence, Italy
| | | | | | - Silvia Biagini
- Department of Neurosciences, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - Francesco Galmozzi
- Department of Neurosciences, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - Veronica Iovene
- Department of Neurosciences, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - Alessio Giannini
- Department of Neurosciences, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - Giuseppe Dario Testa
- Division of Geriatric Cardiology and Medicine, Department of Clinical and Experimental Medicine, University of Florence, Florence, Italy
| | - Alessandro Sodero
- Department of Neurosciences, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - Mascia Nesi
- Stroke Unit, Careggi University Hospital, Florence, Italy
| | - Davide Gadda
- Neuroradiology, Careggi University Hospital, Florence, Italy
| | - Marco Moretti
- Neuroradiology, Careggi University Hospital, Florence, Italy
| | - Maria Lamassa
- Stroke Unit, Careggi University Hospital, Florence, Italy
| | | | - Anna Poggesi
- Department of Neurosciences, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - Cristina Sarti
- Department of Neurosciences, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - Stefania Nannoni
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
| | - Giovanni Pracucci
- Department of Neurosciences, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - Nicola Limbucci
- Neurovascular Interventional Unit, Careggi University Hospital, Florence, Italy
| | - Sergio Nappini
- Neurovascular Interventional Unit, Careggi University Hospital, Florence, Italy
| | - Leonardo Renieri
- Neurovascular Interventional Unit, Careggi University Hospital, Florence, Italy
| | - Stefano Grifoni
- Department of Emergency Medicine, Careggi University Hospital, Florence, Italy
| | - Enrico Fainardi
- Department of Experimental and Clinical Biomedical Sciences, University of Florence, Florence, Italy
| | - Domenico Inzitari
- Institute of Neuroscience, Italian National Research Council, Florence, Italy
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11
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Ande SR, Grynspan J, Aviv RI, Shankar JJS. Imaging for Predicting Hemorrhagic Transformation of Acute Ischemic Stroke-A Narrative Review. Can Assoc Radiol J 2021; 73:194-202. [PMID: 34154379 DOI: 10.1177/08465371211018369] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Hemorrhagic transformation is caused by extravasation of blood products from vessels after acute ischemic stroke. It is an undesirable and potentially devastating complication, which occurs in 10%-40% of clinical cases. Hemorrhagic transformation is classified into four subtypes based on European cooperative acute stroke study II. Predicting hemorrhagic complications at presentation can be useful life saving/altering decisions for the patient. Also, understanding the mechanisms of hemorrhagic transformation can lead to new treatments and intervention measures. We highlighted various imaging techniques that have been used to predict hemorrhagic transformation. Specifically, we looked at the usefulness of perfusion and permeability imaging for hemorrhagic transformation. Use of imaging to predict hemorrhagic transformation could change patient management that may lead to the prevention of hemorrhagic transformation before it occurs. We concluded that the current evidence is not strong enough to rely on these imaging parameters for predicting hemorrhagic transformation and more studies are required.
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Affiliation(s)
- Sudharsana Rao Ande
- Department of Radiology, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Jonathan Grynspan
- Department of Radiology, Prairie Skies Medical Imaging, Regina, Saskatchewan, Canada
| | - Richard I Aviv
- Department of Radiology, The Ottawa Hospital and University of Ottawa, Ottawa, Ontario, Canada
| | - Jai Jai Shiva Shankar
- Department of Radiology, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
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12
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Abstract
PURPOSE OF REVIEW This article describes how imaging can be used by physicians in diagnosing, determining prognosis, and making appropriate treatment decisions in a timely manner in patients with acute stroke. RECENT FINDINGS Advances in acute stroke treatment, including the use of endovascular thrombectomy in patients with large vessel occlusion and, more recently, of IV thrombolysis in an extended time window, have resulted in a paradigm shift in how imaging is used in patients with acute stroke. This paradigm shift, combined with the understanding that "time is brain," means that imaging must be fast, reliable, and available around the clock for physicians to make appropriate clinical decisions. CT has therefore become the primary imaging modality of choice. Recognition of a large vessel occlusion using CT angiography has become essential in identifying patients for endovascular thrombectomy, and techniques such as imaging collaterals on CT angiography or measuring blood flow to predict tissue fate using CT perfusion have become useful tools in selecting patients for acute stroke therapy. Understanding the use of these imaging modalities and techniques in dealing with an emergency such as acute stroke has therefore become more important than ever for physicians treating patients with acute stroke. SUMMARY Imaging the brain and the blood vessels supplying it using modern tools and techniques is a key step in understanding the pathophysiology of acute stroke and making appropriate and timely clinical decisions.
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13
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Jensen M, Schlemm E, Cheng B, Lettow I, Quandt F, Boutitie F, Ebinger M, Endres M, Fiebach JB, Fiehler J, Galinovic I, Thijs V, Lemmens R, Muir KW, Nighoghossian N, Pedraza S, Simonsen CZ, Gerloff C, Thomalla G. Clinical Characteristics and Outcome of Patients With Hemorrhagic Transformation After Intravenous Thrombolysis in the WAKE-UP Trial. Front Neurol 2020; 11:957. [PMID: 32982951 PMCID: PMC7483750 DOI: 10.3389/fneur.2020.00957] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Accepted: 07/23/2020] [Indexed: 11/15/2022] Open
Abstract
Background: Hemorrhagic transformation (HT) is an important complication of intravenous thrombolysis with alteplase. HT can show a wide range from petechiae to parenchymal hematoma with mass effect with varying clinical impact. We studied clinical and imaging characteristics of patients with HT and evaluated whether different types of HT are associated with functional outcome. Methods: We performed a post-hoc analysis of WAKE-UP, a multicenter, randomized, placebo-controlled trial of MRI-guided intravenous alteplase in unknown onset stroke. HT was assessed on follow-up MRI or CT and diagnosed as hemorrhagic infarction type 1 and type 2 (HI1 and HI2, combined as HI), and parenchymal hemorrhage type 1 and type 2 (PH1 and PH2, combined as PH). Severity of stroke symptoms was assessed using the National Institutes of Health Stroke Scale (NIHSS) at baseline. Stroke lesion volume was measured on baseline diffusion weighted imaging (DWI). Primary endpoint was a favorable outcome defined as a modified Rankin Scale score 0–1 at 90 days. Results: Of 483 patients included in the analysis, 95 (19.7%) showed HI and 21 (4.4%) had PH. Multiple logistic regression analysis identified treatment with alteplase (OR, 2.08 [95% CI, 1.28–3.40]), baseline NIHSS score (OR, 1.11 [95% CI, 1.05–1.17]), DWI lesion volume (OR, 1.03 [95% CI, 1.01–1.05]), baseline glucose levels (OR, 1.01 [95% CI, 1.00–1.01]) and atrial fibrillation (OR, 3.02 [95% CI, 1.57–5.80]) as predictors of any HT. The same parameters predicted HI. Predictors of PH were baseline NIHSS score (OR, 1.11 [95% CI, 1.01–1.22]) and as a trend treatment with alteplase (OR, 2.40 [95% CI, 0.93–6.96]). PH was associated with lower odds of favorable outcome (OR 0.25, 95% [CI 0.05–0.86]), while HI was not. Conclusion: Our results indicate that HI is associated with stroke severity, cardiovascular risk factors and thrombolysis. PH is a rare complication, more frequent in severe stroke and with thrombolysis. In contrast to HI, PH is associated with worse functional outcome. The impact of HT after MRI-guided intravenous alteplase for unknown onset stroke on clinical outcome is similar as in the trials of stroke thrombolysis within a known early time-window.
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Affiliation(s)
- Märit Jensen
- Klinik und Poliklinik für Neurologie, Kopf- und Neurozentrum, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Eckhard Schlemm
- Klinik und Poliklinik für Neurologie, Kopf- und Neurozentrum, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Bastian Cheng
- Klinik und Poliklinik für Neurologie, Kopf- und Neurozentrum, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Iris Lettow
- Klinik und Poliklinik für Neurologie, Kopf- und Neurozentrum, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Fanny Quandt
- Klinik und Poliklinik für Neurologie, Kopf- und Neurozentrum, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Florent Boutitie
- Hospices Civils de Lyon, Service de Biostatistique, Lyon, France.,Université Lyon 1, Villeurbanne, France.,CNRS, UMR 5558, Laboratoire de Biométrie et Biologie Evolutive, Equipe Biostatistique-Santé, Villeurbanne, France
| | - Martin Ebinger
- Centrum für Schlaganfallforschung Berlin (CSB), Charité-Universitätsmedizin Berlin, Berlin, Germany.,Neurologie, Medical Park Berlin Humboldtmühle, Berlin, Germany
| | - Matthias Endres
- Centrum für Schlaganfallforschung Berlin (CSB), Charité-Universitätsmedizin Berlin, Berlin, Germany.,Klinik und Hochschulambulanz für Neurologie, Charité-Universitätsmedizin Berlin, Berlin, Germany.,German Center for Neurodegenerative Disease (DZNE), Partner Site Berlin, Berlin, Germany.,German Center for Cardiovascular Research (DZHK), Partner Site Berlin, Berlin, Germany
| | - Jochen B Fiebach
- Centrum für Schlaganfallforschung Berlin (CSB), Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Jens Fiehler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Ivana Galinovic
- Centrum für Schlaganfallforschung Berlin (CSB), Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Vincent Thijs
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Heidelberg, VIC, Australia.,Austin Health, Department of Neurology, Heidelberg, VIC, Australia
| | - Robin Lemmens
- Department of Neurology, University Hospitals Leuven, Leuven, Belgium.,Department of Neurosciences, Experimental Neurology, KU Leuven-University of Leuven, Leuven, Belgium.,VIB, Laboratory of Neurobiology, Center for Brain & Disease Research, Leuven, Belgium
| | - Keith W Muir
- Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, United Kingdom
| | - Norbert Nighoghossian
- Department of Stroke Medicine, Université Claude Bernard Lyon 1, Hospices Civils de Lyon, Lyon, France
| | - Salvador Pedraza
- Department of Radiology, Institut de Diagnostic per la Image (IDI), Hospital Dr. Josep Trueta, Institut d'Investigació Biomèdica de Girona (IDIBGI), Girona, Spain
| | - Claus Z Simonsen
- Department of Neurology, Aarhus University Hospital, Aarhus, Denmark
| | - Christian Gerloff
- Klinik und Poliklinik für Neurologie, Kopf- und Neurozentrum, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Götz Thomalla
- Klinik und Poliklinik für Neurologie, Kopf- und Neurozentrum, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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14
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Bivard A, Churilov L, Parsons M. Artificial intelligence for decision support in acute stroke - current roles and potential. Nat Rev Neurol 2020; 16:575-585. [PMID: 32839584 DOI: 10.1038/s41582-020-0390-y] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/13/2020] [Indexed: 12/13/2022]
Abstract
The identification and treatment of patients with stroke is becoming increasingly complex as more treatment options become available and new relationships between disease features and treatment response are continually discovered. Consequently, clinicians must constantly learn new skills (such as clinical evaluations or image interpretation), stay up to date with the literature and incorporate advances into everyday practice. The use of artificial intelligence (AI) to support clinical decision making could reduce inter-rater variation in routine clinical practice and facilitate the extraction of vital information that could improve identification of patients with stroke, prediction of treatment responses and patient outcomes. Such support systems would be ideal for centres that deal with few patients with stroke or for regional hubs, and could assist informed discussions with the patients and their families. Moreover, the use of AI for image processing and interpretation in stroke could provide any clinician with an imaging assessment equivalent to that of an expert. However, any AI-based decision support system should allow for expert clinician interaction to enable identification of errors (for example, in automated image processing). In this Review, we discuss the increasing importance of imaging in stroke management before exploring the potential and pitfalls of AI-assisted treatment decision support in acute stroke.
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Affiliation(s)
- Andrew Bivard
- Department of Medicine and Public Health, University of Melbourne, Melbourne, VIC, Australia.,Melbourne Medical School, University of Melbourne, Melbourne, VIC, Australia
| | - Leonid Churilov
- Melbourne Medical School, University of Melbourne, Melbourne, VIC, Australia
| | - Mark Parsons
- Department of Medicine and Public Health, University of Melbourne, Melbourne, VIC, Australia. .,Melbourne Medical School, University of Melbourne, Melbourne, VIC, Australia.
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15
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Aravantinou-Fatorou K, Fotakopoulos G. Efficacy of exercise rehabilitation program accompanied by experiential music for recovery of aphasia in single cerebrovascular accidents: a randomized controlled trial. Ir J Med Sci 2020; 190:771-778. [PMID: 32740716 DOI: 10.1007/s11845-020-02328-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2020] [Accepted: 07/23/2020] [Indexed: 12/14/2022]
Abstract
BACKGROUND The current study aims to evaluate the effects of daily traditional experiential music listening for clinical recovery of post-stroke aphasia. METHODS This was a prospective randomized trial with seventy-nine stroke survivors who suffered from post-stroke aphasia. All patients underwent a neuropsychological evaluation, at time = 0 during the admission at the rehabilitation structure (baseline), and 6 months post-stroke. All cases received standard treatment for stroke and post-stroke aphasia in terms of medical care and rehabilitation. Furthermore, patients were randomized to receive either standard care only or standard care with daily traditional experiential music listening. Computer tomography perfusion and neurological examination were assessed to all patients. Recovery was measured by the score at Aachener Aphasie Test. RESULTS The statistically significant differences between the control group (CG) and the rest of the patients were the clinical characteristics (hemiparesis) (p = 0.002), the cerebral blood flow in affected areas (p = 0.000), and the Mini-Mental Test (mMT) (p = 0.000). Only group and mMT were independent predictor factors for recovery, according to multivariate analysis odd ratio (ΟR) (95% confidence interval) 0.022 (0.009-0.435) and 0.658 (0.142-0.224) respectively. CONCLUSIONS The results of this study are promising and suggest that an enriched sound environment is beneficial for patients with post-stroke aphasia since the recovery rate is higher when standard care was combined with daily music listening.
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Affiliation(s)
| | - George Fotakopoulos
- Department of Neurosurgery, General Hospital of Pyrgos 'Andreas Papandreou', Sintriada, 27100, Pyrgos Ilias, Greece. .,, Pyrgos Ilias, Greece.
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16
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Suh CH, Jung SC, Cho SJ, Woo DC, Oh WY, Lee JG, Kim KW. MRI for prediction of hemorrhagic transformation in acute ischemic stroke: a systematic review and meta-analysis. Acta Radiol 2020; 61:964-972. [PMID: 31739673 DOI: 10.1177/0284185119887593] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Hemorrhagic transformation increases mortality and morbidity in patients with acute ischemic stroke. PURPOSE The purpose of this study is to evaluate the diagnostic performance of magnetic resonance imaging (MRI) for prediction of hemorrhagic transformation in acute ischemic stroke. MATERIAL AND METHODS A systematic literature search of MEDLINE and EMBASE was performed up to 27 July 2018, including the search terms "acute ischemic stroke," "hemorrhagic transformation," and "MRI." Studies evaluating the diagnostic performance of MRI for prediction of hemorrhagic transformation in acute ischemic stroke were included. Diagnostic meta-analysis was conducted with a bivariate random-effects model to calculate the pooled sensitivity and specificity. Subgroup analysis was performed including studies using advanced MRI techniques including perfusion-weighted imaging, diffusion-weighted imaging, and susceptibility-weighted imaging. RESULTS Nine original articles with 665 patients were included. Hemorrhagic transformation is associated with high permeability, hypoperfusion, low apparent diffusion coefficient (ADC), and FLAIR hyperintensity. The pooled sensitivity was 82% (95% confidence interval [CI] 61-93) and the pooled specificity was 79% (95% CI 71-85). The area under the hierarchical summary receiver operating characteristic curve was 0.85 (95% CI 0.82-0.88). Although study heterogeneity was present in both sensitivity (I2=67.96%) and specificity (I2=78.93%), a threshold effect was confirmed. Studies using advanced MRI showed sensitivity of 92% (95% CI 70-98) and specificity of 78% (95% CI 65-87) to conventional MRI. CONCLUSION MRI may show moderate diagnostic performance for predicting hemorrhage in acute ischemic stroke although the clinical significance of this hemorrhage is somewhat uncertain.
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Affiliation(s)
- Chong Hyun Suh
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Seung Chai Jung
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Se Jin Cho
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Dong-Cheol Woo
- Bioimaging Center, Biomedical Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Republic of Korea
| | - Woo Yong Oh
- Clinical Research Division, National Institute of Food and Drug Safety Evaluation, MFDS, Cheong Ju, Republic of Korea
| | - Jong Gu Lee
- Clinical Research Division, National Institute of Food and Drug Safety Evaluation, MFDS, Cheong Ju, Republic of Korea
| | - Kyung Won Kim
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
- Asan Image Metrics, Clinical Trial Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Republic of Korea
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17
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Laredo C, Renú A, Llull L, Tudela R, López-Rueda A, Urra X, Macías NG, Rudilosso S, Obach V, Amaro S, Chamorro Á. Elevated glucose is associated with hemorrhagic transformation after mechanical thrombectomy in acute ischemic stroke patients with severe pretreatment hypoperfusion. Sci Rep 2020; 10:10588. [PMID: 32601437 PMCID: PMC7324383 DOI: 10.1038/s41598-020-67448-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Accepted: 05/04/2020] [Indexed: 11/08/2022] Open
Abstract
Several pretreatment variables such as elevated glucose and hypoperfusion severity are related to brain hemorrhage after endovascular treatment of acute stroke. We evaluated whether elevated glucose and severe hypoperfusion have synergistic effects in the promotion of parenchymal hemorrhage (PH) after mechanical thrombectomy (MT). We included 258 patients MT-treated who had a pretreatment computed tomography perfusion (CTP) and a post-treatment follow-up MRI. Severe hypoperfusion was defined as regions with cerebral blood volume (CBV) values < 2.5% of normal brain [very-low CBV (VLCBV)-regions]. Median baseline glucose levels were 119 (IQR = 105-141) mg/dL. Thirty-nine (15%) patients had pretreatment VLCBV-regions, and 42 (16%) developed a PH after MT. In adjusted models, pretreatment glucose levels interacted significantly with VLCBV on the prediction of PH (p-interaction = 0.011). In patients with VLCBV-regions, higher glucose was significantly associated with PH (adjusted-OR = 3.15; 95% CI = 1.08-9.19, p = 0.036), whereas this association was not significant in patients without VLCBV-regions. CBV values measured at pretreatment CTP in coregistered regions that developed PH or infarct at follow-up were not correlated with pretreatment glucose levels, thus suggesting the existence of alternative deleterious mechanisms other than direct glucose-driven hemodynamic impairments. Overall, these results suggest that both severe hypoperfusion and glucose levels should be considered in the evaluation of adjunctive neuroprotective strategies.
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Affiliation(s)
- Carlos Laredo
- Comprehensive Stroke Center, Department of Neuroscience, Hospital Clinic, University of Barcelona and August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Villarroel 170, 08036, Barcelona, Spain
| | - Arturo Renú
- Comprehensive Stroke Center, Department of Neuroscience, Hospital Clinic, University of Barcelona and August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Villarroel 170, 08036, Barcelona, Spain
| | - Laura Llull
- Comprehensive Stroke Center, Department of Neuroscience, Hospital Clinic, University of Barcelona and August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Villarroel 170, 08036, Barcelona, Spain
| | - Raúl Tudela
- CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Group of Biomedical Imaging of the University of Barcelona, Barcelona, Spain
| | | | - Xabier Urra
- Comprehensive Stroke Center, Department of Neuroscience, Hospital Clinic, University of Barcelona and August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Villarroel 170, 08036, Barcelona, Spain
| | | | - Salvatore Rudilosso
- Comprehensive Stroke Center, Department of Neuroscience, Hospital Clinic, University of Barcelona and August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Villarroel 170, 08036, Barcelona, Spain
| | - Víctor Obach
- Comprehensive Stroke Center, Department of Neuroscience, Hospital Clinic, University of Barcelona and August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Villarroel 170, 08036, Barcelona, Spain
| | - Sergio Amaro
- Comprehensive Stroke Center, Department of Neuroscience, Hospital Clinic, University of Barcelona and August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Villarroel 170, 08036, Barcelona, Spain.
| | - Ángel Chamorro
- Comprehensive Stroke Center, Department of Neuroscience, Hospital Clinic, University of Barcelona and August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Villarroel 170, 08036, Barcelona, Spain.
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18
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Yu S, Ma SJ, Liebeskind DS, Qiao XJ, Yan L, Saver JL, Salamon N, Wang DJJ. Reperfusion Into Severely Damaged Brain Tissue Is Associated With Occurrence of Parenchymal Hemorrhage for Acute Ischemic Stroke. Front Neurol 2020; 11:586. [PMID: 32670187 PMCID: PMC7332705 DOI: 10.3389/fneur.2020.00586] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2019] [Accepted: 05/22/2020] [Indexed: 12/27/2022] Open
Abstract
Background and Purpose: This study aims to quantify the reperfusion status within severely damaged brain tissue and to evaluate its relationship with high grade of hemorrhagic transformation (HT). Methods: Pseudo-continuous ASL was performed along with DWI in 102 patients within 24 h post-treatments. The infarction core was identified using ADC values <550 × 10−6 mm2/s. CBF within the infarction core and its contralateral counterpart were acquired. CBF at the 25th, median, and 75th percentiles of the contralateral counterpart were used as thresholds and the ASL reperfusion volume above the threshold was labeled as vol-25, -50, and -75, respectively. Recanalization was defined according to Thrombolysis in Myocardial Infarction (TIMI) criteria. Results: Quantified reperfusion within the infarction core differed significantly in patients with complete and incomplete recanalization. In the ROC analysis for the prediction of parenchymal hematoma (PH), ASL reperfusion vol-25 had the highest area under the curve (AUC) when compared with ASL vol-50 and ASL vol-75. ASL reperfusion vol-25 had significantly higher AUC compared with ADC threshold volume in the prediction of PH (0.783 vs. 0.685, P = 0.0036) and PH-2 (0.844 vs. 0.754, P = 0.0035). In stepwise multivariate logistic regression analysis, only ASL reperfusion vol-25 emerged as an independent predictor of PH (OR = 3.51, 95% CI: 1.65–7.45, P < 0.001) and PH-2 (OR = 2.32, 95% CI: 1.13–4.76, P = 0.022). Conclusions: Increased reperfusion volume within severely damaged brain tissue is associated with the occurrence of higher grade of HT.
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Affiliation(s)
- Songlin Yu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Neurovascular Imaging Research Core and UCLA Stroke Center, Department of Neurology, UCLA, Los Angeles, CA, United States.,CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
| | - Samantha J Ma
- Department of Neurology, USC Stevens Neuroimaging and Informatics Institute, USC, Los Angeles, CA, United States
| | - David S Liebeskind
- Neurovascular Imaging Research Core and UCLA Stroke Center, Department of Neurology, UCLA, Los Angeles, CA, United States
| | - Xin J Qiao
- Department of Radiology, UCLA, Los Angeles, CA, United States
| | - Lirong Yan
- Department of Neurology, USC Stevens Neuroimaging and Informatics Institute, USC, Los Angeles, CA, United States
| | - Jeffrey L Saver
- Neurovascular Imaging Research Core and UCLA Stroke Center, Department of Neurology, UCLA, Los Angeles, CA, United States
| | - Noriko Salamon
- Department of Radiology, UCLA, Los Angeles, CA, United States
| | - Danny J J Wang
- Department of Neurology, USC Stevens Neuroimaging and Informatics Institute, USC, Los Angeles, CA, United States
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19
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Elsaid N, Mustafa W, Saied A. Radiological predictors of hemorrhagic transformation after acute ischemic stroke: An evidence-based analysis. Neuroradiol J 2020; 33:118-133. [PMID: 31971093 PMCID: PMC7140299 DOI: 10.1177/1971400919900275] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
Hemorrhagic transformation (HT) is one of the most common adverse events related to acute ischemic stroke (AIS) that affects the treatment plan and clinical outcome. Identification of a sensitive radiological marker may influence the controversial thrombolytic decision in the setting of AIS and may at a minimum indicate more intensive monitoring or further prophylactic interventions. In this article we summarize possible radiological biomarkers and the role of different radiological modalities including computed tomography (CT), magnetic resonance imaging, angiography, and ultrasound in predicting HT. Different radiological indices of early ischemic changes, large ischemic lesion volume, severe blood flow restriction, blood-brain barrier disruption, poor collaterals and high blood flow velocities have been reported to be associated with higher risk of HT. The current levels of evidence of the available studies highlight the role of the different CT perfusion parameters in predicting HT. Further large standardized studies are recommended to compare the sensitivity and specificity of the different radiological markers combined and delineate the most reliable predictor.
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Affiliation(s)
- Nada Elsaid
- Department of Neurology, University of Mansoura
Faculty of Medicine, Egypt
| | - Wessam Mustafa
- Department of Neurology, University of Mansoura
Faculty of Medicine, Egypt
| | - Ahmed Saied
- Department of Neurology, University of Mansoura
Faculty of Medicine, Egypt
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20
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Boisseau W, Fahed R, Lapergue B, Desilles JP, Zuber K, Khoury N, Garcia J, Maïer B, Redjem H, Ciccio G, Smajda S, Escalard S, Taylor G, Mazighi M, Michel P, Gory B, Blanc R. Predictors of Parenchymal Hematoma After Mechanical Thrombectomy: A Multicenter Study. Stroke 2019; 50:2364-2370. [PMID: 31670928 DOI: 10.1161/strokeaha.118.024512] [Citation(s) in RCA: 50] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background and Purpose Parenchymal hematoma (PH) is a rare but dreadful complication of acute ischemic stroke with
unclear underlying mechanisms. We aimed to study the incidence and predictors of PH after mechanical thrombectomy. Methods Data from a prospective observational multicenter registry was screened to identify acute ischemic stroke
patients with an anterior circulation large vessel occlusion who underwent mechanical thrombectomy. Clinical, imaging, and procedural characteristics were used for the analysis, including brain imaging systematically performed at 24 hours. PH occurrence was assessed according to ECASS (European Collaborative Acute Stroke Study) criteria. Univariate and multivariable analyses were performed to identify predictors of PH. Results A total of 1316 patients were included in the study. PH occurred in 153 out of 1316 patients (11.6%) and was
associated with a lower rate of favorable outcome and increased mortality. On multivariable analysis, age (per 1 year increase, odds ratio [OR], 1.01; 95% CI, 1.00–1.03; P=0.05), current smoking (OR, 2.02; 95% CI, 1.32–3.09; P<0.01), admission Alberta Stroke Program Early CT Score (per a decrease of 1 point, OR, 1.70; 95% CI, 1.18–2.44; P<0.01), general anesthesia (OR, 1.98; 95% CI, 1.36–2.90; P<0.001), angiographic poor collaterals (OR, 2.13; 95% CI, 1.36–3.33; P<0.001) and embolization in new territory (OR, 2.94; 95% CI, 1.70–5.10; P<0.001) were identified as independent predictors of PH. Conclusions PH occurred at a rate of 11.6% after mechanical thrombectomy, with high morbidity and mortality. Our
study identified clinical, radiological, and procedural predictors of PH occurrence that can serve as the focus of future periprocedural management studies with the aim of reducing its occurrence.
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Affiliation(s)
- William Boisseau
- Interventional Neuroradiology Unit, Fondation Rothschild Hospital, Paris, France (W.B., R.F., J.-P.D., K.Z., B.M., H.R., G.C., S.S., S.E., M.M., M.P., R.B.)
| | - Robert Fahed
- Interventional Neuroradiology Unit, Fondation Rothschild Hospital, Paris, France (W.B., R.F., J.-P.D., K.Z., B.M., H.R., G.C., S.S., S.E., M.M., M.P., R.B.)
| | | | - Jean-Philippe Desilles
- Interventional Neuroradiology Unit, Fondation Rothschild Hospital, Paris, France (W.B., R.F., J.-P.D., K.Z., B.M., H.R., G.C., S.S., S.E., M.M., M.P., R.B.).,Laboratory of Vascular Translational Science, U1148 Institut National de la Santé et de la Recherche Médicale (INSERM), Paris, France (J.-P.D., M.M., M.P., R.B.).,Université Paris Denis Diderot, Sorbonne Paris Cite, France (J.-P.D., M.M., M.P., R.B.)
| | - Kevin Zuber
- Interventional Neuroradiology Unit, Fondation Rothschild Hospital, Paris, France (W.B., R.F., J.-P.D., K.Z., B.M., H.R., G.C., S.S., S.E., M.M., M.P., R.B.)
| | - Naim Khoury
- HSHS Neuroscience Center, HSHS St John's Hospital, Springfield, IL (N.K.)
| | - Jeanne Garcia
- Neurovascular Unit, Foch Hospital, Suresnes, France (B.L., J.G.)
| | - Benjamin Maïer
- Interventional Neuroradiology Unit, Fondation Rothschild Hospital, Paris, France (W.B., R.F., J.-P.D., K.Z., B.M., H.R., G.C., S.S., S.E., M.M., M.P., R.B.)
| | - Hocine Redjem
- Interventional Neuroradiology Unit, Fondation Rothschild Hospital, Paris, France (W.B., R.F., J.-P.D., K.Z., B.M., H.R., G.C., S.S., S.E., M.M., M.P., R.B.)
| | - Gabriele Ciccio
- Interventional Neuroradiology Unit, Fondation Rothschild Hospital, Paris, France (W.B., R.F., J.-P.D., K.Z., B.M., H.R., G.C., S.S., S.E., M.M., M.P., R.B.)
| | - Stanislas Smajda
- Interventional Neuroradiology Unit, Fondation Rothschild Hospital, Paris, France (W.B., R.F., J.-P.D., K.Z., B.M., H.R., G.C., S.S., S.E., M.M., M.P., R.B.)
| | - Simon Escalard
- Interventional Neuroradiology Unit, Fondation Rothschild Hospital, Paris, France (W.B., R.F., J.-P.D., K.Z., B.M., H.R., G.C., S.S., S.E., M.M., M.P., R.B.)
| | - Guillaume Taylor
- Department of Intensive Care, Rothschild Foundation Hospital, Paris, France (G.T.)
| | - Mikael Mazighi
- Interventional Neuroradiology Unit, Fondation Rothschild Hospital, Paris, France (W.B., R.F., J.-P.D., K.Z., B.M., H.R., G.C., S.S., S.E., M.M., M.P., R.B.).,Laboratory of Vascular Translational Science, U1148 Institut National de la Santé et de la Recherche Médicale (INSERM), Paris, France (J.-P.D., M.M., M.P., R.B.).,Université Paris Denis Diderot, Sorbonne Paris Cite, France (J.-P.D., M.M., M.P., R.B.)
| | - Piotin Michel
- Interventional Neuroradiology Unit, Fondation Rothschild Hospital, Paris, France (W.B., R.F., J.-P.D., K.Z., B.M., H.R., G.C., S.S., S.E., M.M., M.P., R.B.).,Laboratory of Vascular Translational Science, U1148 Institut National de la Santé et de la Recherche Médicale (INSERM), Paris, France (J.-P.D., M.M., M.P., R.B.).,Université Paris Denis Diderot, Sorbonne Paris Cite, France (J.-P.D., M.M., M.P., R.B.)
| | - Benjamin Gory
- Department of Diagnostic and Therapeutic Neuroradiology, Nancy Hospital, France (B.G.).,University of Lorraine, INSERM U1254, IADI, Nancy, France (B.G.)
| | - Raphaël Blanc
- Interventional Neuroradiology Unit, Fondation Rothschild Hospital, Paris, France (W.B., R.F., J.-P.D., K.Z., B.M., H.R., G.C., S.S., S.E., M.M., M.P., R.B.).,Laboratory of Vascular Translational Science, U1148 Institut National de la Santé et de la Recherche Médicale (INSERM), Paris, France (J.-P.D., M.M., M.P., R.B.).,Université Paris Denis Diderot, Sorbonne Paris Cite, France (J.-P.D., M.M., M.P., R.B.)
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Chausson N, Soumah D, Aghasaryan M, Altarcha T, Alecu C, Smadja D. Reversal of Vitamin K Antagonist Therapy Before Thrombolysis for Acute Ischemic Stroke. Stroke 2018; 49:2526-2528. [DOI: 10.1161/strokeaha.118.020890] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background and Purpose—
Acute ischemic strokes under vitamin K antagonist (VKA) treatment are not uncommon, but intravenous thrombolysis (IVT) is not recommended for international normalized ratio (INR) >1.7 because of the excess bleeding risk. However, VKA-induced anticoagulation can be easily reversed by IV infusions of 4-factor prothrombin complex concentrate bolus and vitamin K. Our pilot study aimed to determine whether IVT immediately after anticoagulation reversal could be feasible and safe in acute ischemic stroke patients under VKA with INR >1.7.
Methods—
Consecutive acute ischemic stroke patients, otherwise eligible for IVT except for VKA intake and INR >1.7, were given IVT after infusing 4-factor prothrombin complex concentrate and vitamin K. Safety and efficacy were assessed clinically and by cerebral imaging at 24 hours.
Results—
Twenty-six patients (age, 77.8±12.8 years; atrial fibrillation, 84.6%; initial National Institutes of Health Stroke Scale, 11.6±5.6) were prospectively included. INR values were 2.3±0.6 initially and 1.3±0.2, 5 minutes postreversal. No symptomatic intracranial hemorrhage or thrombotic events occurred during the first 3 days. One patient developed major systemic hemorrhoidal bleeding that required blood transfusion; 61.5% of the patients were independent (modified Rankin Scale score of ≤2) at 3 months.
Conclusions—
A reversal strategy of 4-factor prothrombin complex concentrate bolus and vitamin K before IVT could be feasible and safe in acute ischemic stroke patients under VKA with INR >1.7. Well-designed, randomized controlled trials are warranted to confirm these preliminary findings.
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Affiliation(s)
- Nicolas Chausson
- From the Stroke Unit, Centre Hospitalier Sud-Francilien, Corbeil-Essonnes, France
| | - Djibril Soumah
- From the Stroke Unit, Centre Hospitalier Sud-Francilien, Corbeil-Essonnes, France
| | - Manvel Aghasaryan
- From the Stroke Unit, Centre Hospitalier Sud-Francilien, Corbeil-Essonnes, France
| | - Tony Altarcha
- From the Stroke Unit, Centre Hospitalier Sud-Francilien, Corbeil-Essonnes, France
| | - Cosmin Alecu
- From the Stroke Unit, Centre Hospitalier Sud-Francilien, Corbeil-Essonnes, France
| | - Didier Smadja
- From the Stroke Unit, Centre Hospitalier Sud-Francilien, Corbeil-Essonnes, France
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22
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Wu B, Liu N, Wintermark M, Parsons MW, Chen H, Lin L, Zhou S, Hu G, Zhang Y, Hu J, Li Y, Su Z, Wu X, Zhu G. Optimal Delay Time of CT Perfusion for Predicting Cerebral Parenchymal Hematoma After Intra-Arterial tPA Treatment. Front Neurol 2018; 9:680. [PMID: 30186221 PMCID: PMC6110878 DOI: 10.3389/fneur.2018.00680] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2018] [Accepted: 07/27/2018] [Indexed: 11/20/2022] Open
Abstract
Background and Purpose: Cerebral hemorrhage is a serious potential complication of stroke revascularization, especially in patients receiving intra-arterial tissue-type plasminogen activator (tPA) therapy. We investigated the optimal pre-intervention delay time (DT) of computed tomography perfusion (CTP) measurement to predict cerebral parenchymal hematoma (PH) in acute ischemic stroke (AIS) patients after intra-arterial tissue plasminogen activator (tPA) treatment. Methods: The study population consisted of a series of patients with AIS who received intra-arterial tPA treatment and had CTP and follow-up computed tomography/magnetic resonance imaging (CT/MRI) to identify hemorrhagic transformation. The association of increasing DT thresholds (>2, >4, >6, >8, and >10 s) with PH was examined using receiver operating characteristic (ROC) analysis and logistic regression. Results: Of 94 patients, 23 developed PH on follow-up imaging. Receiver operating characteristic analysis revealed that the greatest area under the curve for predicting PH occurred at DT > 4 s (area under the curve, 0.66). At this threshold of > 4 s, DT lesion volume ≥ 30.85 mL optimally predicted PH with 70% sensitivity and 59% specificity. DT > 4 s volume was independently predictive of PH in a multivariate logistic regression model (P < 0.05). Conclusions: DT > 4 s was the parameter most strongly associated with PH. The volume of moderate, not severe, hypo-perfusion on DT is more strongly associated and may allow better prediction of PH after intra-arterial tPA thrombolysis.
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Affiliation(s)
- Bing Wu
- Department of Radiology, PLA Army General Hospital, Beijing, China
| | - Nan Liu
- Department of Neurology, PLA Army General Hospital, Beijing, China
| | - Max Wintermark
- Neuroradiology Section, Department of Radiology, Stanford University, Stanford, CA, United States
| | - Mark W Parsons
- School of Medicine and Public Health, University of Newcastle, Newcastle, NSW, Australia.,Department of Neurology, John Hunter Hospital, University of Newcastle, Newcastle, NSW, Australia
| | - Hui Chen
- Department of Neurology, PLA Army General Hospital, Beijing, China
| | - Longting Lin
- School of Medicine and Public Health, University of Newcastle, Newcastle, NSW, Australia
| | - Shuai Zhou
- Department of Radiology, PLA Army General Hospital, Beijing, China.,Inner Mongolia Medical University Hohhot, China
| | - Gang Hu
- Department of Radiology, PLA Army General Hospital, Beijing, China
| | - Yongwei Zhang
- Department of Neurology, Changhai Hospital, Second Military Medical University, Shanghai, China
| | - Jun Hu
- Department of Neurology, Southwest Hospital, Third Military Medical University, Chongqing, China
| | - Ying Li
- Department of Neurology, PLA Army General Hospital, Beijing, China
| | | | - Xinhuai Wu
- Department of Radiology, PLA Army General Hospital, Beijing, China.,Inner Mongolia Medical University Hohhot, China
| | - Guangming Zhu
- Neuroradiology Section, Department of Radiology, Stanford University, Stanford, CA, United States
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23
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Fotakopoulos G, Kotlia P. The Value of Exercise Rehabilitation Program Accompanied by Experiential Music for Recovery of Cognitive and Motor Skills in Stroke Patients. J Stroke Cerebrovasc Dis 2018; 27:2932-2939. [PMID: 30072173 DOI: 10.1016/j.jstrokecerebrovasdis.2018.06.025] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2018] [Accepted: 06/17/2018] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND The aim of this study was to systematically assess the effects of exercise rehabilitation program accompanied by experiential music for clinical recovery. METHODS This was a prospective randomized study with 65 stroke survivor patients. All cases underwent a neuropsychological assessment first as a prescreening test, during the admission at the Rehabilitation center (baseline), and 6 months poststroke. All patients received standard treatment for stroke in terms of medical care and rehabilitation. Additionally, all patients were separated into 2 Groups: a music Group (daily listening to experiential/traditional music), and a control Group (CG) with no experiential/traditional music therapy (standard care only). Computed tomography perfusion and full neurological examination including GCS were assessment. As Recovery was defined the improvement of cognitive and motor skills of the limb in the affected site, with an increase of muscle strength at least by 1/5 and with emotional progress. RESULTS Statistically significant differences were found between the Group CG and the rest of the patients in respect of Lesion size (P = .001) and CBF in affected area (P = .001). Μultivariate analysis revealed that only Group and Lesion size were independent predictors for Recovery (odd ratio [OR][95%confidence interval]) .11(.001-.133) and .798(.668-.954) respectively. CONCLUSION The findings of this study suggest that the music-based exercise program has a positive effect on mood profile in stroke patients and Recovery rate is higher when exercise rehabilitation program was accompanied by an enriched sound environment with experiential music.
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Affiliation(s)
- George Fotakopoulos
- Department of Neurosurgery, University Hospital of Patras, Patra, Greece; Department of Neurosurgery, University Hospital of Thessaly, University Hospital of Larissa, Biopolis, 41110 Larissa, Thessaly, Greece
| | - Polikceni Kotlia
- Department of Head of Critical Care, University of Thessaly, University Hospital of Larissa, Biopolis, 41110, Larissa, Thessaly, Greece
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24
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The value of computed tomography perfusion & transcranial Doppler in early diagnosis of cerebral vasospasm in aneurysmal & traumatic subarachnoid hemorrhage. Future Sci OA 2018; 4:FSO313. [PMID: 30057790 PMCID: PMC6060394 DOI: 10.4155/fsoa-2018-0015] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2018] [Accepted: 05/02/2018] [Indexed: 02/04/2023] Open
Abstract
Early detection and diagnosis of cerebral vasospasm in subarachnoid hemorrhage may be challenging both on clinical and radiographic grounds. In this respect we conducted a pilot study in order to assess the feasibility of the technique in the everyday setting of a tertiary hospital and to evaluate the diagnostic performance of different diagnostic computed tomography perfusion aspects in diagnosing the clinical outcome of patients with subarachnoid hemorrhage. Receiver-operating characteristic analysis showed that a cerebral blood flow value of <24.5 presented 67% sensitivity and 100% specificity to diagnose adverse ischemic events at 1 month (p = 0.041). These case series data provide evidence that computed tomography perfusion-derived cerebral blood flow is a measurable index that may detect the degree of cerebral ischemia in a very early stage. Early detection and diagnosis of cerebral vasospasm in subarachnoid hemorrhage is important but may be challenging both on clinical or radiographic grounds. This article provides evidence that computed tomography perfusion-derived cerebral blood flow is a measurable index that could detect the degree of cerebral ischemia in a very early stage in patients suffering with subarachnoid hemorrhage. Larger studies are needed in order to better define the role of computed tomography perfusion in early diagnosis of cerebral vasospasm.
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25
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Etherton MR, Barreto AD, Schwamm LH, Wu O. Neuroimaging Paradigms to Identify Patients for Reperfusion Therapy in Stroke of Unknown Onset. Front Neurol 2018; 9:327. [PMID: 29867736 PMCID: PMC5962731 DOI: 10.3389/fneur.2018.00327] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2018] [Accepted: 04/25/2018] [Indexed: 12/17/2022] Open
Abstract
Despite the proven efficacy of intravenous alteplase or endovascular thrombectomy for the treatment of patients with acute ischemic stroke, only a minority receive these treatments. This low treatment rate is due in large part to delay in hospital arrival or uncertainty as to the exact time of onset of ischemic stroke, which renders patients outside the current guideline-recommended window of eligibility for receiving these therapeutics. However, recent pivotal clinical trials of late-window thrombectomy now force us to rethink the value of a simplistic chronological formulation that “time is brain.” We must recognize a more nuanced concept that the rate of tissue death as a function of time is not invariant, that still salvageable tissue at risk of infarction may be present up to 24 h after last-known well, and that those patients may strongly benefit from reperfusion. Multiple studies have sought to address this clinical dilemma using neuroimaging methods to identify a radiographic time-stamp of stroke onset or evidence of salvageable ischemic tissue and thereby increase the number of patients eligible for reperfusion therapies. In this review, we provide a critical analysis of the current state of neuroimaging techniques to select patients with unwitnessed stroke for revascularization therapies and speculate on the future direction of this clinically relevant area of stroke research.
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Affiliation(s)
- Mark R Etherton
- Department of Neurology, JPK Stroke Research Center, Massachusetts General Hospital (MGH), Harvard Medical School, Boston, MA, United States
| | - Andrew D Barreto
- Stroke Division, Department of Neurology, McGovern Medical School at the University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Lee H Schwamm
- Department of Neurology, JPK Stroke Research Center, Massachusetts General Hospital (MGH), Harvard Medical School, Boston, MA, United States
| | - Ona Wu
- Department of Neurology, JPK Stroke Research Center, Massachusetts General Hospital (MGH), Harvard Medical School, Boston, MA, United States.,Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital (MGH), Charlestown, MA, United States
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26
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Kulhari A, Dorn E, Pace J, Alambyan V, Chen S, Wu OC, Rizvi M, Hammond A, Ramos-Estebanez C. Acute Ischemic Pediatric Stroke Management: An Extended Window for Mechanical Thrombectomy? Front Neurol 2017; 8:634. [PMID: 29238322 PMCID: PMC5712569 DOI: 10.3389/fneur.2017.00634] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2017] [Accepted: 11/13/2017] [Indexed: 11/26/2022] Open
Abstract
Ischemic stroke is a rare condition to afflict the pediatric population. Congenital cardiomyopathy represents one of several possible etiologies in children. We report a 9-year-old boy who developed right middle cerebral artery stroke secondary to primary restrictive cardiomyopathy. In the absence of pediatric guidelines, the child met adult criteria for mechanical thrombectomy given the small core infarct and large penumbra. The literature suggests children may benefit from mechanical thrombectomy in carefully selected cases. Our patient exemplifies specific circumstances in which acute stroke therapy with thrombolysis and thrombectomy may be safe.
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Affiliation(s)
- Ashish Kulhari
- Department of Neurology, Neurological Institute, University Hospitals, Cleveland, OH, United States.,Department of Neurological Surgery, Neurological Institute, University Hospitals, Cleveland, OH, United States
| | - Elizabeth Dorn
- Department of Pediatrics, Rainbow Babies and Children's Hospital, Cleveland, OH, United States
| | - Jonathan Pace
- Department of Neurology, Neurological Institute, University Hospitals, Cleveland, OH, United States.,Department of Neurological Surgery, Neurological Institute, University Hospitals, Cleveland, OH, United States
| | - Vilakshan Alambyan
- Department of Neurology, Neurological Institute, University Hospitals, Cleveland, OH, United States.,Department of Neurological Surgery, Neurological Institute, University Hospitals, Cleveland, OH, United States
| | - Stephanie Chen
- Department of Physiology, Case Western Reserve University, Cleveland, OH, United States
| | - Osmond C Wu
- Department of Neurology, Neurological Institute, University Hospitals, Cleveland, OH, United States.,Department of Neurological Surgery, Neurological Institute, University Hospitals, Cleveland, OH, United States
| | - Macym Rizvi
- Department of Neurology, Neurological Institute, University Hospitals, Cleveland, OH, United States.,Department of Neurological Surgery, Neurological Institute, University Hospitals, Cleveland, OH, United States
| | - Anthony Hammond
- Department of Emergency Medicine, University Hospitals, Cleveland, OH, United States
| | - Ciro Ramos-Estebanez
- Department of Neurology, Neurological Institute, University Hospitals, Cleveland, OH, United States.,Department of Neurological Surgery, Neurological Institute, University Hospitals, Cleveland, OH, United States
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27
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Bouts MJ, Tiebosch IA, Rudrapatna US, van der Toorn A, Wu O, Dijkhuizen RM. Prediction of hemorrhagic transformation after experimental ischemic stroke using MRI-based algorithms. J Cereb Blood Flow Metab 2017; 37:3065-3076. [PMID: 28155583 PMCID: PMC5536810 DOI: 10.1177/0271678x16683692] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Estimation of hemorrhagic transformation (HT) risk is crucial for treatment decision-making after acute ischemic stroke. We aimed to determine the accuracy of multiparametric MRI-based predictive algorithms in calculating probability of HT after stroke. Spontaneously, hypertensive rats were subjected to embolic stroke and, after 3 h treated with tissue plasminogen activator (Group I: n = 6) or vehicle (Group II: n = 7). Brain MRI measurements of T2, T2*, diffusion, perfusion, and blood-brain barrier permeability were obtained at 2, 24, and 168 h post-stroke. Generalized linear model and random forest (RF) predictive algorithms were developed to calculate the probability of HT and infarction from acute MRI data. Validation against seven-day outcome on MRI and histology revealed that highest accuracy of hemorrhage prediction was achieved with a RF-based model that included spatial brain features (Group I: area under the receiver-operating characteristic curve (AUC) = 0.85 ± 0.14; Group II: AUC = 0.89 ± 0.09), with significant improvement over perfusion- or permeability-based thresholding methods. However, overlap between predicted and actual tissue outcome was significantly lower for hemorrhage prediction models (maximum Dice's Similarity Index (DSI) = 0.20 ± 0.06) than for infarct prediction models (maximum DSI = 0.81 ± 0.06). Multiparametric MRI-based predictive algorithms enable early identification of post-ischemic tissue at risk of HT and may contribute to improved treatment decision-making after acute ischemic stroke.
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Affiliation(s)
- Mark Jrj Bouts
- 1 Biomedical MR Imaging and Spectroscopy Group, Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands.,2 Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA.,3 Leiden Institute for Brain and Cognition, Institute of Psychology, Leiden University, Leiden, The Netherlands.,4 Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Ivo Acw Tiebosch
- 1 Biomedical MR Imaging and Spectroscopy Group, Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Umesh S Rudrapatna
- 1 Biomedical MR Imaging and Spectroscopy Group, Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Annette van der Toorn
- 1 Biomedical MR Imaging and Spectroscopy Group, Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Ona Wu
- 2 Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
| | - Rick M Dijkhuizen
- 1 Biomedical MR Imaging and Spectroscopy Group, Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands
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28
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Batchelor C, Pordeli P, d’Esterre CD, Najm M, Al-Ajlan FS, Boesen ME, McDougall C, Hur L, Fainardi E, Shankar JJS, Rubiera M, Khaw AV, Hill MD, Demchuk AM, Sajobi TT, Goyal M, Lee TY, Aviv RI, Menon BK. Use of Noncontrast Computed Tomography and Computed Tomographic Perfusion in Predicting Intracerebral Hemorrhage After Intravenous Alteplase Therapy. Stroke 2017; 48:1548-1553. [DOI: 10.1161/strokeaha.117.016616] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2017] [Revised: 03/07/2017] [Accepted: 03/13/2017] [Indexed: 01/25/2023]
Abstract
Background and Purpose—
Intracerebral hemorrhage is a feared complication of intravenous alteplase therapy in patients with acute ischemic stroke. We explore the use of multimodal computed tomography in predicting this complication.
Methods—
All patients were administered intravenous alteplase with/without intra-arterial therapy. An age- and sex-matched case–control design with classic and conditional logistic regression techniques was chosen for analyses. Outcome was parenchymal hemorrhage on 24- to 48-hour imaging. Exposure variables were imaging (noncontrast computed tomography hypoattenuation degree, relative volume of very low cerebral blood volume, relative volume of cerebral blood flow ≤7 mL/min·per 100 g, relative volume of T
max
≥16 s with all volumes standardized to
z
axis coverage, mean permeability surface area product values within T
max
≥8 s volume, and mean permeability surface area product values within ipsilesional hemisphere) and clinical variables (NIHSS [National Institutes of Health Stroke Scale], onset to imaging time, baseline systolic blood pressure, blood glucose, serum creatinine, treatment type, and reperfusion status).
Results—
One-hundred eighteen subjects (22 patients with parenchymal hemorrhage versus 96 without, median baseline NIHSS score of 15) were included in the final analysis. In multivariable regression, noncontrast computed tomography hypoattenuation grade (
P
<0.006) and computerized tomography perfusion white matter relative volume of very low cerebral blood volume (
P
=0.04) were the only significant variables associated with parenchymal hemorrhage on follow-up imaging (area under the curve, 0.73; 95% confidence interval, 0.63–0.83). Interrater reliability for noncontrast computed tomography hypoattenuation grade was moderate (κ=0.6).
Conclusions—
Baseline hypoattenuation on noncontrast computed tomography and very low cerebral blood volume on computerized tomography perfusion are associated with development of parenchymal hemorrhage in patients with acute ischemic stroke receiving intravenous alteplase.
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29
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Mokin M, Levy EI, Saver JL, Siddiqui AH, Goyal M, Bonafé A, Cognard C, Jahan R, Albers GW. Predictive Value of RAPID Assessed Perfusion Thresholds on Final Infarct Volume in SWIFT PRIME (Solitaire With the Intention for Thrombectomy as Primary Endovascular Treatment). Stroke 2017; 48:932-938. [PMID: 28283606 DOI: 10.1161/strokeaha.116.015472] [Citation(s) in RCA: 70] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2016] [Revised: 12/22/2016] [Accepted: 01/31/2017] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE Computed tomography perfusion imaging can estimate the size of the ischemic core, which can be used for the selection of patients for endovascular therapy. The relative cerebral blood volume (rCBV) and relative cerebral blood flow (rCBF) thresholds chosen to identify ischemic core influence the accuracy of prediction. We aimed to analyze the accuracy of various rCBV and rCBF thresholds for predicting the 27-hour infarct volume using RAPID automated analysis software from the SWIFT PRIME trial (Solitaire With the Intention for Thrombectomy as Primary Endovascular Treatment) data. METHODS Patients from the SWIFT PRIME study who achieved complete reperfusion based on time until the residue function reached its peak >6 s perfusion maps obtained at 27 hours were included. Patients from both the intravenous tissue-type plasminogen activator only and endovascular groups were included in analysis. Final infarct volume was determined on magnetic resonance imaging (fluid-attenuated inversion recovery images) or computed tomography scans obtained 27 hours after symptom onset. The predicted ischemic core volumes on rCBV and rCBF maps using thresholds ranging between 0.2 and 0.8 were compared with the actual infarct volume to determine the most accurate thresholds. RESULTS Among the 47 subjects, the following baseline computed tomography perfusion thresholds most accurately predicted the actual 27-hour infarct volume: rCBV=0.32, median absolute error (MAE)=9 mL; rCBV=0.34, MAE=9 mL; rCBF=0.30, MAE=8.8 mL; rCBF=0.32, MAE=7 mL; and rCBF=0.34, MAE=7.3. CONCLUSIONS Brain regions with rCBF 0.30 to 0.34 or rCBV 0.32 to 0.34 thresholds provided the most accurate prediction of infarct volume in patients who achieved complete reperfusion with MAEs of ≤9 mL. CLINICAL TRIAL REGISTRATION URL: http://www.clinicaltrials.gov. Unique identifier: NCT01657461.
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Affiliation(s)
- Maxim Mokin
- From the Department of Neurosurgery, University of South Florida, Tampa (M.M.); Department of Neurosurgery, University at Buffalo, NY (E.I.L., A.H.S.); Department of Neurology, David Geffen School of Medicine (J.L.S.) and Division of Interventional Neuroradiology (R.J.), University of California, Los Angeles; Departments of Radiology and Clinical Neurosciences, University of Calgary, Alberta, Canada (M.G.); Department of Neuroradiology, Gui de Chauliac Hospital, Montpellier, France (A.B.); Department of Diagnostic and Therapeutic Neuroradiology, University Hospital of Toulouse, France (C.C.); and Stanford Stroke Center, Stanford University School of Medicine, CA (G.W.A.).
| | - Elad I Levy
- From the Department of Neurosurgery, University of South Florida, Tampa (M.M.); Department of Neurosurgery, University at Buffalo, NY (E.I.L., A.H.S.); Department of Neurology, David Geffen School of Medicine (J.L.S.) and Division of Interventional Neuroradiology (R.J.), University of California, Los Angeles; Departments of Radiology and Clinical Neurosciences, University of Calgary, Alberta, Canada (M.G.); Department of Neuroradiology, Gui de Chauliac Hospital, Montpellier, France (A.B.); Department of Diagnostic and Therapeutic Neuroradiology, University Hospital of Toulouse, France (C.C.); and Stanford Stroke Center, Stanford University School of Medicine, CA (G.W.A.)
| | - Jeffrey L Saver
- From the Department of Neurosurgery, University of South Florida, Tampa (M.M.); Department of Neurosurgery, University at Buffalo, NY (E.I.L., A.H.S.); Department of Neurology, David Geffen School of Medicine (J.L.S.) and Division of Interventional Neuroradiology (R.J.), University of California, Los Angeles; Departments of Radiology and Clinical Neurosciences, University of Calgary, Alberta, Canada (M.G.); Department of Neuroradiology, Gui de Chauliac Hospital, Montpellier, France (A.B.); Department of Diagnostic and Therapeutic Neuroradiology, University Hospital of Toulouse, France (C.C.); and Stanford Stroke Center, Stanford University School of Medicine, CA (G.W.A.)
| | - Adnan H Siddiqui
- From the Department of Neurosurgery, University of South Florida, Tampa (M.M.); Department of Neurosurgery, University at Buffalo, NY (E.I.L., A.H.S.); Department of Neurology, David Geffen School of Medicine (J.L.S.) and Division of Interventional Neuroradiology (R.J.), University of California, Los Angeles; Departments of Radiology and Clinical Neurosciences, University of Calgary, Alberta, Canada (M.G.); Department of Neuroradiology, Gui de Chauliac Hospital, Montpellier, France (A.B.); Department of Diagnostic and Therapeutic Neuroradiology, University Hospital of Toulouse, France (C.C.); and Stanford Stroke Center, Stanford University School of Medicine, CA (G.W.A.)
| | - Mayank Goyal
- From the Department of Neurosurgery, University of South Florida, Tampa (M.M.); Department of Neurosurgery, University at Buffalo, NY (E.I.L., A.H.S.); Department of Neurology, David Geffen School of Medicine (J.L.S.) and Division of Interventional Neuroradiology (R.J.), University of California, Los Angeles; Departments of Radiology and Clinical Neurosciences, University of Calgary, Alberta, Canada (M.G.); Department of Neuroradiology, Gui de Chauliac Hospital, Montpellier, France (A.B.); Department of Diagnostic and Therapeutic Neuroradiology, University Hospital of Toulouse, France (C.C.); and Stanford Stroke Center, Stanford University School of Medicine, CA (G.W.A.)
| | - Alain Bonafé
- From the Department of Neurosurgery, University of South Florida, Tampa (M.M.); Department of Neurosurgery, University at Buffalo, NY (E.I.L., A.H.S.); Department of Neurology, David Geffen School of Medicine (J.L.S.) and Division of Interventional Neuroradiology (R.J.), University of California, Los Angeles; Departments of Radiology and Clinical Neurosciences, University of Calgary, Alberta, Canada (M.G.); Department of Neuroradiology, Gui de Chauliac Hospital, Montpellier, France (A.B.); Department of Diagnostic and Therapeutic Neuroradiology, University Hospital of Toulouse, France (C.C.); and Stanford Stroke Center, Stanford University School of Medicine, CA (G.W.A.)
| | - Christophe Cognard
- From the Department of Neurosurgery, University of South Florida, Tampa (M.M.); Department of Neurosurgery, University at Buffalo, NY (E.I.L., A.H.S.); Department of Neurology, David Geffen School of Medicine (J.L.S.) and Division of Interventional Neuroradiology (R.J.), University of California, Los Angeles; Departments of Radiology and Clinical Neurosciences, University of Calgary, Alberta, Canada (M.G.); Department of Neuroradiology, Gui de Chauliac Hospital, Montpellier, France (A.B.); Department of Diagnostic and Therapeutic Neuroradiology, University Hospital of Toulouse, France (C.C.); and Stanford Stroke Center, Stanford University School of Medicine, CA (G.W.A.)
| | - Reza Jahan
- From the Department of Neurosurgery, University of South Florida, Tampa (M.M.); Department of Neurosurgery, University at Buffalo, NY (E.I.L., A.H.S.); Department of Neurology, David Geffen School of Medicine (J.L.S.) and Division of Interventional Neuroradiology (R.J.), University of California, Los Angeles; Departments of Radiology and Clinical Neurosciences, University of Calgary, Alberta, Canada (M.G.); Department of Neuroradiology, Gui de Chauliac Hospital, Montpellier, France (A.B.); Department of Diagnostic and Therapeutic Neuroradiology, University Hospital of Toulouse, France (C.C.); and Stanford Stroke Center, Stanford University School of Medicine, CA (G.W.A.)
| | - Gregory W Albers
- From the Department of Neurosurgery, University of South Florida, Tampa (M.M.); Department of Neurosurgery, University at Buffalo, NY (E.I.L., A.H.S.); Department of Neurology, David Geffen School of Medicine (J.L.S.) and Division of Interventional Neuroradiology (R.J.), University of California, Los Angeles; Departments of Radiology and Clinical Neurosciences, University of Calgary, Alberta, Canada (M.G.); Department of Neuroradiology, Gui de Chauliac Hospital, Montpellier, France (A.B.); Department of Diagnostic and Therapeutic Neuroradiology, University Hospital of Toulouse, France (C.C.); and Stanford Stroke Center, Stanford University School of Medicine, CA (G.W.A.)
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30
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Nael K, Knitter JR, Jahan R, Gornbein J, Ajani Z, Feng L, Meyer BC, Schwamm LH, Yoo AJ, Marshall RS, Meyers PM, Yavagal DR, Wintermark M, Liebeskind DS, Guzy J, Starkman S, Saver JL, Kidwell CS. Multiparametric Magnetic Resonance Imaging for Prediction of Parenchymal Hemorrhage in Acute Ischemic Stroke After Reperfusion Therapy. Stroke 2017; 48:664-670. [PMID: 28138001 PMCID: PMC5325250 DOI: 10.1161/strokeaha.116.014343] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2016] [Revised: 12/05/2016] [Accepted: 12/07/2016] [Indexed: 12/31/2022]
Abstract
Background and Purpose— Patients with acute ischemic stroke are at increased risk of developing parenchymal hemorrhage (PH), particularly in the setting of reperfusion therapies. We have developed a predictive model to examine the risk of PH using combined magnetic resonance perfusion and diffusion parameters, including cerebral blood volume (CBV), apparent diffusion coefficient, and microvascular permeability (K2). Methods— Voxel-based values of CBV, K2, and apparent diffusion coefficient from the ischemic core were obtained using pretreatment magnetic resonance imaging data from patients enrolled in the MR RESCUE clinical trial (Mechanical Retrieval and Recanalization of Stroke Clots Using Embolectomy). The associations between PH and extreme values of imaging parameters were assessed in univariate and multivariate analyses. Receiver-operating characteristic curve analysis was performed to determine the optimal parameter(s) and threshold for predicting PH. Results— In 83 patients included in this analysis, 20 developed PH. Univariate analysis showed significantly lower 10th percentile CBV and 10th percentile apparent diffusion coefficient values and significantly higher 90th percentile K2 values within the infarction core of patients with PH. Using classification tree analysis, the 10th percentile CBV at threshold of 0.47 and 90th percentile K2 at threshold of 0.28 resulted in overall predictive accuracy of 88.7%, sensitivity of 90.0%, and specificity of 87.3%, which was superior to any individual or combination of other classifiers. Conclusions— Our results suggest that combined 10th percentile CBV and 90th percentile K2 is an independent predictor of PH in patients with acute ischemic stroke with diagnostic accuracy superior to individual classifiers alone. This approach may allow risk stratification for patients undergoing reperfusion therapies. Clinical Trial Registration— URL: https://www.clinicaltrials.gov. Unique identifier: NCT00389467.
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Affiliation(s)
- Kambiz Nael
- From the Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY (K.N.); the Departments of Neurology and Radiology, University of Arizona, Tucson (J.R.K., C.S.K.); the Departments of Radiology and Neurosurgery (R.J.), Biomathematics (J. Gornbein), Neurology (D.S.L., J.L.S.), and Emergency Medicine and Neurology (J. Guzy, S.S.), University of California, Los Angeles; the Departments of Neurology (Z.A.) and Radiology (L.F.), Kaiser Permanente, Los Angeles, CA; the Departments of Neurosciences and the Stroke Center University of California, San Diego (B.C.M.); the Department of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston (L.H.S.); Texas Stroke Institute, Dallas (A.J.Y.); the Departments of Neurology (R.S.M.) and Neurological Surgery and Radiology (P.M.M.), Columbia University College of Physicians and Surgeons, New York, NY; the Departments of Neurology and Neurosurgery, University of Miami, Jackson Memorial Hospital, FL (D.R.Y.); and the Departments of Radiology and Neurology Stanford University, CA (M.W.).
| | - James R Knitter
- From the Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY (K.N.); the Departments of Neurology and Radiology, University of Arizona, Tucson (J.R.K., C.S.K.); the Departments of Radiology and Neurosurgery (R.J.), Biomathematics (J. Gornbein), Neurology (D.S.L., J.L.S.), and Emergency Medicine and Neurology (J. Guzy, S.S.), University of California, Los Angeles; the Departments of Neurology (Z.A.) and Radiology (L.F.), Kaiser Permanente, Los Angeles, CA; the Departments of Neurosciences and the Stroke Center University of California, San Diego (B.C.M.); the Department of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston (L.H.S.); Texas Stroke Institute, Dallas (A.J.Y.); the Departments of Neurology (R.S.M.) and Neurological Surgery and Radiology (P.M.M.), Columbia University College of Physicians and Surgeons, New York, NY; the Departments of Neurology and Neurosurgery, University of Miami, Jackson Memorial Hospital, FL (D.R.Y.); and the Departments of Radiology and Neurology Stanford University, CA (M.W.)
| | - Reza Jahan
- From the Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY (K.N.); the Departments of Neurology and Radiology, University of Arizona, Tucson (J.R.K., C.S.K.); the Departments of Radiology and Neurosurgery (R.J.), Biomathematics (J. Gornbein), Neurology (D.S.L., J.L.S.), and Emergency Medicine and Neurology (J. Guzy, S.S.), University of California, Los Angeles; the Departments of Neurology (Z.A.) and Radiology (L.F.), Kaiser Permanente, Los Angeles, CA; the Departments of Neurosciences and the Stroke Center University of California, San Diego (B.C.M.); the Department of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston (L.H.S.); Texas Stroke Institute, Dallas (A.J.Y.); the Departments of Neurology (R.S.M.) and Neurological Surgery and Radiology (P.M.M.), Columbia University College of Physicians and Surgeons, New York, NY; the Departments of Neurology and Neurosurgery, University of Miami, Jackson Memorial Hospital, FL (D.R.Y.); and the Departments of Radiology and Neurology Stanford University, CA (M.W.)
| | - Jeffery Gornbein
- From the Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY (K.N.); the Departments of Neurology and Radiology, University of Arizona, Tucson (J.R.K., C.S.K.); the Departments of Radiology and Neurosurgery (R.J.), Biomathematics (J. Gornbein), Neurology (D.S.L., J.L.S.), and Emergency Medicine and Neurology (J. Guzy, S.S.), University of California, Los Angeles; the Departments of Neurology (Z.A.) and Radiology (L.F.), Kaiser Permanente, Los Angeles, CA; the Departments of Neurosciences and the Stroke Center University of California, San Diego (B.C.M.); the Department of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston (L.H.S.); Texas Stroke Institute, Dallas (A.J.Y.); the Departments of Neurology (R.S.M.) and Neurological Surgery and Radiology (P.M.M.), Columbia University College of Physicians and Surgeons, New York, NY; the Departments of Neurology and Neurosurgery, University of Miami, Jackson Memorial Hospital, FL (D.R.Y.); and the Departments of Radiology and Neurology Stanford University, CA (M.W.)
| | - Zahra Ajani
- From the Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY (K.N.); the Departments of Neurology and Radiology, University of Arizona, Tucson (J.R.K., C.S.K.); the Departments of Radiology and Neurosurgery (R.J.), Biomathematics (J. Gornbein), Neurology (D.S.L., J.L.S.), and Emergency Medicine and Neurology (J. Guzy, S.S.), University of California, Los Angeles; the Departments of Neurology (Z.A.) and Radiology (L.F.), Kaiser Permanente, Los Angeles, CA; the Departments of Neurosciences and the Stroke Center University of California, San Diego (B.C.M.); the Department of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston (L.H.S.); Texas Stroke Institute, Dallas (A.J.Y.); the Departments of Neurology (R.S.M.) and Neurological Surgery and Radiology (P.M.M.), Columbia University College of Physicians and Surgeons, New York, NY; the Departments of Neurology and Neurosurgery, University of Miami, Jackson Memorial Hospital, FL (D.R.Y.); and the Departments of Radiology and Neurology Stanford University, CA (M.W.)
| | - Lei Feng
- From the Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY (K.N.); the Departments of Neurology and Radiology, University of Arizona, Tucson (J.R.K., C.S.K.); the Departments of Radiology and Neurosurgery (R.J.), Biomathematics (J. Gornbein), Neurology (D.S.L., J.L.S.), and Emergency Medicine and Neurology (J. Guzy, S.S.), University of California, Los Angeles; the Departments of Neurology (Z.A.) and Radiology (L.F.), Kaiser Permanente, Los Angeles, CA; the Departments of Neurosciences and the Stroke Center University of California, San Diego (B.C.M.); the Department of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston (L.H.S.); Texas Stroke Institute, Dallas (A.J.Y.); the Departments of Neurology (R.S.M.) and Neurological Surgery and Radiology (P.M.M.), Columbia University College of Physicians and Surgeons, New York, NY; the Departments of Neurology and Neurosurgery, University of Miami, Jackson Memorial Hospital, FL (D.R.Y.); and the Departments of Radiology and Neurology Stanford University, CA (M.W.)
| | - Brett C Meyer
- From the Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY (K.N.); the Departments of Neurology and Radiology, University of Arizona, Tucson (J.R.K., C.S.K.); the Departments of Radiology and Neurosurgery (R.J.), Biomathematics (J. Gornbein), Neurology (D.S.L., J.L.S.), and Emergency Medicine and Neurology (J. Guzy, S.S.), University of California, Los Angeles; the Departments of Neurology (Z.A.) and Radiology (L.F.), Kaiser Permanente, Los Angeles, CA; the Departments of Neurosciences and the Stroke Center University of California, San Diego (B.C.M.); the Department of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston (L.H.S.); Texas Stroke Institute, Dallas (A.J.Y.); the Departments of Neurology (R.S.M.) and Neurological Surgery and Radiology (P.M.M.), Columbia University College of Physicians and Surgeons, New York, NY; the Departments of Neurology and Neurosurgery, University of Miami, Jackson Memorial Hospital, FL (D.R.Y.); and the Departments of Radiology and Neurology Stanford University, CA (M.W.)
| | - Lee H Schwamm
- From the Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY (K.N.); the Departments of Neurology and Radiology, University of Arizona, Tucson (J.R.K., C.S.K.); the Departments of Radiology and Neurosurgery (R.J.), Biomathematics (J. Gornbein), Neurology (D.S.L., J.L.S.), and Emergency Medicine and Neurology (J. Guzy, S.S.), University of California, Los Angeles; the Departments of Neurology (Z.A.) and Radiology (L.F.), Kaiser Permanente, Los Angeles, CA; the Departments of Neurosciences and the Stroke Center University of California, San Diego (B.C.M.); the Department of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston (L.H.S.); Texas Stroke Institute, Dallas (A.J.Y.); the Departments of Neurology (R.S.M.) and Neurological Surgery and Radiology (P.M.M.), Columbia University College of Physicians and Surgeons, New York, NY; the Departments of Neurology and Neurosurgery, University of Miami, Jackson Memorial Hospital, FL (D.R.Y.); and the Departments of Radiology and Neurology Stanford University, CA (M.W.)
| | - Albert J Yoo
- From the Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY (K.N.); the Departments of Neurology and Radiology, University of Arizona, Tucson (J.R.K., C.S.K.); the Departments of Radiology and Neurosurgery (R.J.), Biomathematics (J. Gornbein), Neurology (D.S.L., J.L.S.), and Emergency Medicine and Neurology (J. Guzy, S.S.), University of California, Los Angeles; the Departments of Neurology (Z.A.) and Radiology (L.F.), Kaiser Permanente, Los Angeles, CA; the Departments of Neurosciences and the Stroke Center University of California, San Diego (B.C.M.); the Department of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston (L.H.S.); Texas Stroke Institute, Dallas (A.J.Y.); the Departments of Neurology (R.S.M.) and Neurological Surgery and Radiology (P.M.M.), Columbia University College of Physicians and Surgeons, New York, NY; the Departments of Neurology and Neurosurgery, University of Miami, Jackson Memorial Hospital, FL (D.R.Y.); and the Departments of Radiology and Neurology Stanford University, CA (M.W.)
| | - Randolph S Marshall
- From the Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY (K.N.); the Departments of Neurology and Radiology, University of Arizona, Tucson (J.R.K., C.S.K.); the Departments of Radiology and Neurosurgery (R.J.), Biomathematics (J. Gornbein), Neurology (D.S.L., J.L.S.), and Emergency Medicine and Neurology (J. Guzy, S.S.), University of California, Los Angeles; the Departments of Neurology (Z.A.) and Radiology (L.F.), Kaiser Permanente, Los Angeles, CA; the Departments of Neurosciences and the Stroke Center University of California, San Diego (B.C.M.); the Department of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston (L.H.S.); Texas Stroke Institute, Dallas (A.J.Y.); the Departments of Neurology (R.S.M.) and Neurological Surgery and Radiology (P.M.M.), Columbia University College of Physicians and Surgeons, New York, NY; the Departments of Neurology and Neurosurgery, University of Miami, Jackson Memorial Hospital, FL (D.R.Y.); and the Departments of Radiology and Neurology Stanford University, CA (M.W.)
| | - Philip M Meyers
- From the Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY (K.N.); the Departments of Neurology and Radiology, University of Arizona, Tucson (J.R.K., C.S.K.); the Departments of Radiology and Neurosurgery (R.J.), Biomathematics (J. Gornbein), Neurology (D.S.L., J.L.S.), and Emergency Medicine and Neurology (J. Guzy, S.S.), University of California, Los Angeles; the Departments of Neurology (Z.A.) and Radiology (L.F.), Kaiser Permanente, Los Angeles, CA; the Departments of Neurosciences and the Stroke Center University of California, San Diego (B.C.M.); the Department of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston (L.H.S.); Texas Stroke Institute, Dallas (A.J.Y.); the Departments of Neurology (R.S.M.) and Neurological Surgery and Radiology (P.M.M.), Columbia University College of Physicians and Surgeons, New York, NY; the Departments of Neurology and Neurosurgery, University of Miami, Jackson Memorial Hospital, FL (D.R.Y.); and the Departments of Radiology and Neurology Stanford University, CA (M.W.)
| | - Dileep R Yavagal
- From the Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY (K.N.); the Departments of Neurology and Radiology, University of Arizona, Tucson (J.R.K., C.S.K.); the Departments of Radiology and Neurosurgery (R.J.), Biomathematics (J. Gornbein), Neurology (D.S.L., J.L.S.), and Emergency Medicine and Neurology (J. Guzy, S.S.), University of California, Los Angeles; the Departments of Neurology (Z.A.) and Radiology (L.F.), Kaiser Permanente, Los Angeles, CA; the Departments of Neurosciences and the Stroke Center University of California, San Diego (B.C.M.); the Department of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston (L.H.S.); Texas Stroke Institute, Dallas (A.J.Y.); the Departments of Neurology (R.S.M.) and Neurological Surgery and Radiology (P.M.M.), Columbia University College of Physicians and Surgeons, New York, NY; the Departments of Neurology and Neurosurgery, University of Miami, Jackson Memorial Hospital, FL (D.R.Y.); and the Departments of Radiology and Neurology Stanford University, CA (M.W.)
| | - Max Wintermark
- From the Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY (K.N.); the Departments of Neurology and Radiology, University of Arizona, Tucson (J.R.K., C.S.K.); the Departments of Radiology and Neurosurgery (R.J.), Biomathematics (J. Gornbein), Neurology (D.S.L., J.L.S.), and Emergency Medicine and Neurology (J. Guzy, S.S.), University of California, Los Angeles; the Departments of Neurology (Z.A.) and Radiology (L.F.), Kaiser Permanente, Los Angeles, CA; the Departments of Neurosciences and the Stroke Center University of California, San Diego (B.C.M.); the Department of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston (L.H.S.); Texas Stroke Institute, Dallas (A.J.Y.); the Departments of Neurology (R.S.M.) and Neurological Surgery and Radiology (P.M.M.), Columbia University College of Physicians and Surgeons, New York, NY; the Departments of Neurology and Neurosurgery, University of Miami, Jackson Memorial Hospital, FL (D.R.Y.); and the Departments of Radiology and Neurology Stanford University, CA (M.W.)
| | - David S Liebeskind
- From the Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY (K.N.); the Departments of Neurology and Radiology, University of Arizona, Tucson (J.R.K., C.S.K.); the Departments of Radiology and Neurosurgery (R.J.), Biomathematics (J. Gornbein), Neurology (D.S.L., J.L.S.), and Emergency Medicine and Neurology (J. Guzy, S.S.), University of California, Los Angeles; the Departments of Neurology (Z.A.) and Radiology (L.F.), Kaiser Permanente, Los Angeles, CA; the Departments of Neurosciences and the Stroke Center University of California, San Diego (B.C.M.); the Department of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston (L.H.S.); Texas Stroke Institute, Dallas (A.J.Y.); the Departments of Neurology (R.S.M.) and Neurological Surgery and Radiology (P.M.M.), Columbia University College of Physicians and Surgeons, New York, NY; the Departments of Neurology and Neurosurgery, University of Miami, Jackson Memorial Hospital, FL (D.R.Y.); and the Departments of Radiology and Neurology Stanford University, CA (M.W.)
| | - Judy Guzy
- From the Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY (K.N.); the Departments of Neurology and Radiology, University of Arizona, Tucson (J.R.K., C.S.K.); the Departments of Radiology and Neurosurgery (R.J.), Biomathematics (J. Gornbein), Neurology (D.S.L., J.L.S.), and Emergency Medicine and Neurology (J. Guzy, S.S.), University of California, Los Angeles; the Departments of Neurology (Z.A.) and Radiology (L.F.), Kaiser Permanente, Los Angeles, CA; the Departments of Neurosciences and the Stroke Center University of California, San Diego (B.C.M.); the Department of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston (L.H.S.); Texas Stroke Institute, Dallas (A.J.Y.); the Departments of Neurology (R.S.M.) and Neurological Surgery and Radiology (P.M.M.), Columbia University College of Physicians and Surgeons, New York, NY; the Departments of Neurology and Neurosurgery, University of Miami, Jackson Memorial Hospital, FL (D.R.Y.); and the Departments of Radiology and Neurology Stanford University, CA (M.W.)
| | - Sidney Starkman
- From the Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY (K.N.); the Departments of Neurology and Radiology, University of Arizona, Tucson (J.R.K., C.S.K.); the Departments of Radiology and Neurosurgery (R.J.), Biomathematics (J. Gornbein), Neurology (D.S.L., J.L.S.), and Emergency Medicine and Neurology (J. Guzy, S.S.), University of California, Los Angeles; the Departments of Neurology (Z.A.) and Radiology (L.F.), Kaiser Permanente, Los Angeles, CA; the Departments of Neurosciences and the Stroke Center University of California, San Diego (B.C.M.); the Department of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston (L.H.S.); Texas Stroke Institute, Dallas (A.J.Y.); the Departments of Neurology (R.S.M.) and Neurological Surgery and Radiology (P.M.M.), Columbia University College of Physicians and Surgeons, New York, NY; the Departments of Neurology and Neurosurgery, University of Miami, Jackson Memorial Hospital, FL (D.R.Y.); and the Departments of Radiology and Neurology Stanford University, CA (M.W.)
| | - Jeffrey L Saver
- From the Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY (K.N.); the Departments of Neurology and Radiology, University of Arizona, Tucson (J.R.K., C.S.K.); the Departments of Radiology and Neurosurgery (R.J.), Biomathematics (J. Gornbein), Neurology (D.S.L., J.L.S.), and Emergency Medicine and Neurology (J. Guzy, S.S.), University of California, Los Angeles; the Departments of Neurology (Z.A.) and Radiology (L.F.), Kaiser Permanente, Los Angeles, CA; the Departments of Neurosciences and the Stroke Center University of California, San Diego (B.C.M.); the Department of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston (L.H.S.); Texas Stroke Institute, Dallas (A.J.Y.); the Departments of Neurology (R.S.M.) and Neurological Surgery and Radiology (P.M.M.), Columbia University College of Physicians and Surgeons, New York, NY; the Departments of Neurology and Neurosurgery, University of Miami, Jackson Memorial Hospital, FL (D.R.Y.); and the Departments of Radiology and Neurology Stanford University, CA (M.W.)
| | - Chelsea S Kidwell
- From the Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY (K.N.); the Departments of Neurology and Radiology, University of Arizona, Tucson (J.R.K., C.S.K.); the Departments of Radiology and Neurosurgery (R.J.), Biomathematics (J. Gornbein), Neurology (D.S.L., J.L.S.), and Emergency Medicine and Neurology (J. Guzy, S.S.), University of California, Los Angeles; the Departments of Neurology (Z.A.) and Radiology (L.F.), Kaiser Permanente, Los Angeles, CA; the Departments of Neurosciences and the Stroke Center University of California, San Diego (B.C.M.); the Department of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston (L.H.S.); Texas Stroke Institute, Dallas (A.J.Y.); the Departments of Neurology (R.S.M.) and Neurological Surgery and Radiology (P.M.M.), Columbia University College of Physicians and Surgeons, New York, NY; the Departments of Neurology and Neurosurgery, University of Miami, Jackson Memorial Hospital, FL (D.R.Y.); and the Departments of Radiology and Neurology Stanford University, CA (M.W.)
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Renú A, Laredo C, Tudela R, Urra X, Lopez-Rueda A, Llull L, Oleaga L, Amaro S, Chamorro Á. Brain hemorrhage after endovascular reperfusion therapy of ischemic stroke: a threshold-finding whole-brain perfusion CT study. J Cereb Blood Flow Metab 2017; 37:153-165. [PMID: 26661254 PMCID: PMC5363740 DOI: 10.1177/0271678x15621704] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2015] [Revised: 07/13/2015] [Accepted: 07/14/2015] [Indexed: 11/17/2022]
Abstract
Endovascular reperfusion therapy is increasingly used for acute ischemic stroke treatment. The occurrence of parenchymal hemorrhage is clinically relevant and increases with reperfusion therapies. Herein we aimed to examine the optimal perfusion CT-derived parameters and the impact of the duration of brain ischemia for the prediction of parenchymal hemorrhage after endovascular therapy. A cohort of 146 consecutive patients with anterior circulation occlusions and treated with endovascular reperfusion therapy was analyzed. Recanalization was assessed at the end of reperfusion treatment, and the rate of parenchymal hemorrhage at follow-up neuroimaging. In regression analyses, cerebral blood volume and cerebral blood flow performed better than Delay Time maps for the prediction of parenchymal hemorrhage. The most informative thresholds (receiver operating curves) for relative cerebral blood volume and relative cerebral blood flow were values lower than 2.5% of normal brain. In binary regression analyses, the volume of regions with reduced relative cerebral blood volume and/or relative cerebral blood flow was significantly associated with an increased risk of parenchymal hemorrhage, as well as delayed vessel recanalization. These results highlight the relevance of the severity and duration of ischemia as drivers of blood-brain barrier disruption in acute ischemic stroke and support the role of perfusion CT for the prediction of parenchymal hemorrhage.
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Affiliation(s)
- Arturo Renú
- Comprehensive Stroke Center, Department of Neuroscience, Hospital Clinic, University of Barcelona and August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Carlos Laredo
- Comprehensive Stroke Center, Department of Neuroscience, Hospital Clinic, University of Barcelona and August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Raúl Tudela
- CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Group of Biomedical Imaging of the University of Barcelona, Barcelona, Spain
| | - Xabier Urra
- Comprehensive Stroke Center, Department of Neuroscience, Hospital Clinic, University of Barcelona and August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | | | - Laura Llull
- Comprehensive Stroke Center, Department of Neuroscience, Hospital Clinic, University of Barcelona and August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Laura Oleaga
- Radiology Department, Hospital Clinic, Barcelona, Spain
| | - Sergio Amaro
- Comprehensive Stroke Center, Department of Neuroscience, Hospital Clinic, University of Barcelona and August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Ángel Chamorro
- Comprehensive Stroke Center, Department of Neuroscience, Hospital Clinic, University of Barcelona and August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
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Severe cerebral hypovolemia on perfusion CT and lower body weight are associated with parenchymal haemorrhage after thrombolysis. Neuroradiology 2016; 59:23-29. [PMID: 28028565 DOI: 10.1007/s00234-016-1775-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2016] [Accepted: 12/07/2016] [Indexed: 10/20/2022]
Abstract
INTRODUCTION Haemorrhagic transformation of acute ischemic stroke (AIS) and particularly parenchymal haemorrhage (PH) remains a feared complication of intravenous thrombolysis (IVT). We aimed to identify clinical and perfusion CT (PCT) variables which are independently associated with PHs. METHODS In this observational cohort study, based on the Acute Stroke Registry Analysis of Lausanne (ASTRAL) from 2003 to December 2013, we selected patients with AIS involving the middle cerebral artery (MCA) territory who were thrombolysed within 4.5 h of symptoms' onset and who had a good quality baseline PCT at the beginning of IVT. In addition to demographic, clinical, laboratory and non-contrast CT data, volumes of salvageable tissue and ischemic core on PCT, as well as absolute CBF and CBV values within the ischemic regions were compared in patients with and without PH in multivariate analysis. RESULTS Of the 190 included patients, 24 (12.6%) presented a PH (11 had PH1 and 13 had PH2). In multivariate analysis of the clinical and radiological variables, the lowest CBV in the core and lower body weight was both significantly associated with PH (p = 0.009 and p = 0.024, respectively). CONCLUSION In thrombolysed MCA strokes, maximal hypoperfusion severity depicted by lowest CBV values in the core region and lower body weight are independently correlated with PH. This information, if confirmed in other case series, may add to the stratification of revascularisation decisions in patients with a perceived high PH risk.
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Son JP, Lee MJ, Kim SJ, Chung JW, Cha J, Kim GM, Chung CS, Lee KH, Bang OY. Impact of Slow Blood Filling via Collaterals on Infarct Growth: Comparison of Mismatch and Collateral Status. J Stroke 2016; 19:88-96. [PMID: 28030891 PMCID: PMC5307934 DOI: 10.5853/jos.2016.00955] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2016] [Revised: 08/30/2016] [Accepted: 09/22/2016] [Indexed: 12/28/2022] Open
Abstract
Background and Purpose Perfusion-diffusion mismatch has been evaluated to determine whether the presence of a target mismatch helps to identify patients who respond favorably to recanalization therapies. We compared the impact on infarct growth of collateral status and the presence of a penumbra, using magnetic resonance perfusion (MRP) techniques. Methods Consecutive patients who were candidates for recanalization therapy and underwent serial diffusion-weighted imaging (DWI) and MRP were enrolled. A collateral flow map derived from MRP source data was generated by automatic post-processing. The impact of a target mismatch (Tmax>6 s/apparent diffusion coefficient (ADC) volume≥1.8, ADC volume<70 mL; and Tmax>10 s for ADC volume<100 mL) on infarct growth was compared with MR-based collateral grading on day 7 DWI, using multivariate linear regression analysis. Results Among 73 patients, 55 (75%) showed a target mismatch, whereas collaterals were poor in 14 (19.2%), intermediate in 36 (49.3%), and good in 23 (31.5%) patients. After adjusting for initial severity of stroke, early recanalization (P<0.001) and the MR-based collateral grading (P=0.001), but not the presence of a target mismatch, were independently associated with infarct growth. Even in patients with a target mismatch and successful recanalization, the degree of infarct growth depended on the collateral status. Perfusion status at later Tmax time points (beyond the arterial phase) was more closely correlated with collateral status. Conclusions Patients with good collaterals show a favorable outcome in terms of infarct growth, regardless of the presence of a target mismatch pattern. The presence of slow blood filling predicts collateral status and infarct growth.
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Affiliation(s)
- Jeong Pyo Son
- Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Seoul, Korea.,Center for Neuroscience Imaging Research (CNIR), Institute for Basic Science (IBS), Suwon, Korea
| | - Mi Ji Lee
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Suk Jae Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jong-Won Chung
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jihoon Cha
- Department of Radioology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Gyeong-Moon Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Chin-Sang Chung
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Kwang Ho Lee
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Oh Young Bang
- Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Seoul, Korea.,Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
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Chen H, Liu N, Li Y, Wintermark M, Jackson A, Wu B, Su Z, Chen F, Hu J, Zhang Y, Zhu G. Mismatch of Low Perfusion and High Permeability Predicts Hemorrhagic Transformation Region in Acute Ischemic Stroke Patients Treated with Intra-arterial Thrombolysis. Sci Rep 2016; 6:27950. [PMID: 27302077 PMCID: PMC4908417 DOI: 10.1038/srep27950] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2016] [Accepted: 05/27/2016] [Indexed: 01/20/2023] Open
Abstract
This study sought to determine whether the permeability related parameter K(trans), derived from computed tomography perfusion (CTP) imaging, can predict hemorrhagic transformation (HT) in patients with acute ischemic stroke who receive intra-arterial thrombolysis. Data from patients meeting the criterion were examined. CTP was performed and K(trans) maps were used to assess the permeability values in HT and non-HT regions. A receiver operating characteristic (ROC) curve was calculated, showing the sensitivity and specificity of K(trans) for predicting HT risk. Composite images were produced to illustrate the spatial correlations among perfusion, permeability changes and HT. This study examined 41 patients. Twenty-six patients had hemorrhagic infarction and 15 had parenchymal hemorrhage. The mean K(trans) value in HT regions was significantly lower than that in the non-HT regions (0.26 ± 0.21/min vs. 0.78 ± 0.64/min; P < 0.001). The ROC curve analysis identified an optimal cutoff value of 0.334/min for K(trans) to predict HT risk. Composite images suggested ischemic regions with low permeability, or the mismatch area of low perfusion and high permeability, more likely have HT. HT regions after intra-arterial thrombolysis had lower permeability values on K(trans) maps. The mismatch area of lower perfusion and higher permeability are more likely to develop HT.
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Affiliation(s)
- Hui Chen
- Department of Neurology, Military General Hospital of Beijing PLA, Beijing, 100700, China
| | - Nan Liu
- Department of Neurology, Military General Hospital of Beijing PLA, Beijing, 100700, China
| | - Ying Li
- Department of Neurology, Military General Hospital of Beijing PLA, Beijing, 100700, China
| | - Max Wintermark
- Stanford University, Department of Radiology, Neuroradiology Section, Stanford, CA, USA
| | - Alan Jackson
- Wolfson Molecular Imaging Centre, University of Manchester, Manchester, UK
| | - Bing Wu
- Department of Radiology, Military General Hospital of Beijing PLA, Beijing, 100700, China
| | | | - Fei Chen
- Department of Neurology, Military General Hospital of Beijing PLA, Beijing, 100700, China
| | - Jun Hu
- Department of Neurology, Southwest Hospital, Third Military Medical University, Chongqing, 400038, China
| | - Yongwei Zhang
- Department of Neurology, Changhai Hospital, Second Military Medical University, Shanghai, 200433, China
| | - Guangming Zhu
- Department of Neurology, Military General Hospital of Beijing PLA, Beijing, 100700, China
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Cheripelli BK, Huang X, MacIsaac R, Muir KW. Interaction of Recanalization, Intracerebral Hemorrhage, and Cerebral Edema After Intravenous Thrombolysis. Stroke 2016; 47:1761-7. [PMID: 27301943 DOI: 10.1161/strokeaha.116.013142] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2016] [Accepted: 05/17/2016] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE Both intracerebral hemorrhage (ICH) and brain edema have been attributed to reperfusion after intravenous thrombolysis. We explored the interaction of recanalization and core size for imaging outcomes (ICH and vasogenic brain edema). METHODS In patients with anterior circulation occlusion given intravenous thrombolysis <4.5 hours and imaged with computed tomographic (CT) perfusion and CT angiography, we defined volumes of core (relative delay time >2 s and relative cerebral blood flow <40%) and penumbra (relative delay time >2 s). CT and CT angiography at 24 hours were reviewed for ICH (European Cooperative Acute Stroke Study [ECASS]-2 definition), early vasogenic edema (third International Stroke Trial [IST-3] criteria), and recanalization (thrombolysis in myocardial infarction 2-3). Independent effects of recanalization, core volume and potential interactions on edema, ICH and day 90 outcomes were estimated by logistic regression. RESULTS In 123 patients, there was a trend for recanalization to be associated with H1/2 ICH (odds ratio [OR], 2.3 [0.97-5.5]; P=0.06) but not with PH1/2 ICH (OR, 1.7 [0.33-8.8]; P=0.5), any edema, or significant brain edema (OR, 1.45 [0.4-4.9]; P=0.55). Ischemic core (>50 mL) was associated with any ICH (OR, 4.0 [1.6-9.5]; P=0.003), edema (OR, 5.4 [2-14]; P<0.01), and significant brain edema (OR, 17.4 [5.3-57]; P<0.01) but not with PH1/2 ICH (OR, 1.2 [0.23-6.5]; P=0.8), after controlling for recanalization. There was no significant interaction of recanalization and large core for any adverse outcomes. CONCLUSIONS Large ischemic core was associated with poorer outcomes and both early vasogenic brain edema and ICH, but recanalization on 24-hour CT angiography was associated with clinically favorable outcome. There was no significant interaction of recanalization and large core volume for any outcomes. The association of hemorrhage or brain edema with post-thrombolysis reperfusion is unclear.
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Affiliation(s)
- Bharath Kumar Cheripelli
- From the Institute of Neuroscience and Psychology (B.K.C., X.H., K.W.M.) and Institute of Cardiovascular and Medical Sciences (R.M.), University of Glasgow, Queen Elizabeth University Hospital, Glasgow, Scotland, United Kingdom
| | - Xuya Huang
- From the Institute of Neuroscience and Psychology (B.K.C., X.H., K.W.M.) and Institute of Cardiovascular and Medical Sciences (R.M.), University of Glasgow, Queen Elizabeth University Hospital, Glasgow, Scotland, United Kingdom
| | - Rachael MacIsaac
- From the Institute of Neuroscience and Psychology (B.K.C., X.H., K.W.M.) and Institute of Cardiovascular and Medical Sciences (R.M.), University of Glasgow, Queen Elizabeth University Hospital, Glasgow, Scotland, United Kingdom
| | - Keith W Muir
- From the Institute of Neuroscience and Psychology (B.K.C., X.H., K.W.M.) and Institute of Cardiovascular and Medical Sciences (R.M.), University of Glasgow, Queen Elizabeth University Hospital, Glasgow, Scotland, United Kingdom.
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Bivard A, Cheng X, Lin LT, Levi C, Spratt N, Kleinig T, O'Brien B, Butcher K, Lou M, Zhang JF, Sylaja PN, Cao WJ, Jannes J, Dong Q, Parsons M. Global White Matter Hypoperfusion on CT Predicts Larger Infarcts and Hemorrhagic Transformation after Acute Ischemia. CNS Neurosci Ther 2016; 22:238-43. [PMID: 26775830 DOI: 10.1111/cns.12491] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2015] [Revised: 11/03/2015] [Accepted: 11/09/2015] [Indexed: 11/27/2022] Open
Abstract
INTRODUCTION Presence of white matter hyperintensity (WMH) on MRI is a marker of cerebral small vessel disease and is associated with increased small vessel stroke and increased risk of hemorrhagic transformation (HT) after thrombolysis. AIM We sought to determine whether white matter hypoperfusion (WMHP) on perfusion CT (CTP) was related to WMH, and if WMHP predisposed to acute lacunar stroke subtype and HT after thrombolysis. METHODS Acute ischemic stroke patients within 12 h of symptom onset at 2 centers were prospectively recruited between 2011 and 2013 for the International Stroke Perfusion Imaging Registry. Participants routinely underwent baseline CT imaging, including CTP, and follow-up imaging with MRI at 24 h. RESULTS Of 229 ischemic stroke patients, 108 were Caucasians and 121 Chinese. In the contralateral white matter, patients with acute lacunar stroke had lower cerebral blood flow (CBF) and cerebral blood volume (CBV), compared to those with other stroke subtypes (P = 0.041). There were 46 patients with HT, and WMHP was associated with increased risk of HT (R(2) = 0.417, P = 0.002). Compared to previously reported predictors of HT, WMHP performed better than infarct core volume (R(2) = 0.341, P = 0.034), very low CBV volume (R(2) = 0.249, P = 0.026), and severely delayed perfusion (Tmax>14 second R(2) = 0.372, P = 0.011). Patients with WMHP also had larger acute infarcts and increased infarct growth compared to those without WMHP (mean 28 mL vs. 13 mL P < 0.001). CONCLUSION White matter hypoperfusion remote to the acutely ischemic region on CTP is a marker of small vessel disease and was associated with increased HT, larger acute infarct cores, and greater infarct growth.
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Affiliation(s)
- Andrew Bivard
- Departments of Neurology, John Hunter Hospital, University of Newcastle, Newcastle, NSW, Australia
| | - Xin Cheng
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Long-Ting Lin
- Departments of Neurology, John Hunter Hospital, University of Newcastle, Newcastle, NSW, Australia
| | - Christopher Levi
- Departments of Neurology, John Hunter Hospital, University of Newcastle, Newcastle, NSW, Australia
| | - Neil Spratt
- Departments of Neurology, John Hunter Hospital, University of Newcastle, Newcastle, NSW, Australia
| | - Tim Kleinig
- Department of Neurology, Royal Adelaide Hospital, Adelaide, NSW, Australia
| | - Billy O'Brien
- Department of Neurology, Gosford Hospital, Gosford, NSW, Australia
| | - Kenneth Butcher
- Division of Neurology, Department of Medicine, University of Alberta, Edmonton, AB, Canada
| | - Min Lou
- Department of Neurology, the Second Affiliated Hospital of Zhejiang University, Hangzhou, China
| | - Jing-Fen Zhang
- Department of Neurology, Baotou Central Hospital, Baotou, China
| | - P N Sylaja
- Department of Neurology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, India
| | - Wen-Jie Cao
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Jim Jannes
- Department of Neurology, The Queen Elizabeth Hospital, Adelaide, NSW, Australia
| | - Qiang Dong
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Mark Parsons
- Departments of Neurology, John Hunter Hospital, University of Newcastle, Newcastle, NSW, Australia
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Kase CS, Shoamanesh A, Greenberg SM, Caplan LR. Intracerebral Hemorrhage. Stroke 2016. [DOI: 10.1016/b978-0-323-29544-4.00028-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/08/2022]
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Menon BK, Goyal M. Imaging Paradigms in Acute Ischemic Stroke: A Pragmatic Evidence-based Approach. Radiology 2015; 277:7-12. [PMID: 26402490 DOI: 10.1148/radiol.2015151030] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Online supplemental material is available for this article.
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Affiliation(s)
- Bijoy K Menon
- From the Calgary Stroke Program and Department of Clinical Neurosciences (B.K.M., M.G.), Department of Radiology (B.K.M., M.G.), and Department of Community Health Sciences (B.K.M.), University of Calgary, Calgary, Alberta, Canada; and Hotchkiss Brain Institute, Calgary, Alberta, Canada (B.K.M., M.G.)
| | - Mayank Goyal
- From the Calgary Stroke Program and Department of Clinical Neurosciences (B.K.M., M.G.), Department of Radiology (B.K.M., M.G.), and Department of Community Health Sciences (B.K.M.), University of Calgary, Calgary, Alberta, Canada; and Hotchkiss Brain Institute, Calgary, Alberta, Canada (B.K.M., M.G.)
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Gu F, Qin J, Chen R, Xu X. Post-thrombolysis hemorrhage in a patient with hypothyroidism and acute ischemic stroke: Case report. Neurol Neurochir Pol 2015; 49:290-4. [DOI: 10.1016/j.pjnns.2015.05.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2015] [Revised: 04/29/2015] [Accepted: 05/05/2015] [Indexed: 11/17/2022]
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Ibatullin MM, Kalinin MN, Curado AT, Khasanova DR. [Neurovisualisation predictors of malignant cerebral infarction and hemorrhagic transformation]. Zh Nevrol Psikhiatr Im S S Korsakova 2015; 115:3-11. [PMID: 26120991 DOI: 10.17116/jnevro2015115323-11] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Neuroimaging plays a central role in the assessment of patients with acute ischemic stroke. Within a few minutes, modern multimodal imaging protocols can provide one with comprehensive information about prognosis, management, and outcome of the disease, and may detect changes in the intracranial structures reflecting severity of the ischemic injury depicted by four Ps: parenchyma (of the brain), pipes (i.e., the cerebral blood vessels), penumbra, and permeability (of the blood brain barrier). In this article, we have reviewed neuroradiological predictors of malignant middle cerebral artery infarction and hemorrhagic transformation in light of the aforementioned four Ps.
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Affiliation(s)
| | | | - A T Curado
- Interregional Clinical Diagnostic Center, Kazan
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Mishra NK, Christensen S, Wouters A, Campbell BCV, Straka M, Mlynash M, Kemp S, Cereda CW, Bammer R, Marks MP, Albers GW, Lansberg MG. Reperfusion of very low cerebral blood volume lesion predicts parenchymal hematoma after endovascular therapy. Stroke 2015; 46:1245-9. [PMID: 25828235 DOI: 10.1161/strokeaha.114.008171] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2014] [Accepted: 02/27/2015] [Indexed: 01/09/2023]
Abstract
BACKGROUND AND PURPOSE Ischemic stroke patients with regional very low cerebral blood volume (VLCBV) on baseline imaging have increased risk of parenchymal hemorrhage (PH) after intravenous alteplase-induced reperfusion. We developed a method for automated detection of VLCBV and examined whether patients with reperfused-VLCBV are at increased risk of PH after endovascular reperfusion therapy. METHODS Receiver operating characteristic analysis was performed to optimize a relative CBV threshold associated with PH in patients from the Diffusion and Perfusion Imaging Evaluation for Understanding Stroke Evolution 2 (DEFUSE 2) study. Regional reperfused-VLCBV was defined as regions with low relative CBV on baseline imaging that demonstrated normal perfusion (Tmax <6 s) on coregistered early follow-up magnetic resonance imaging. The association between VLCBV, regional reperfused-VLCBV and PH was assessed in univariate and multivariate analyses. RESULTS In 91 patients, the greatest area under the curve for predicting PH occurred at an relative CBV threshold of <0.42 (area under the curve, 0.77). At this threshold, VLCBV lesion volume ≥3.55 mL optimally predicted PH with 94% sensitivity and 63% specificity. Reperfused-VLCBV lesion volume was more specific (0.74) and equally sensitive (0.94). In total, 18 patients developed PH, of whom 17 presented with VLCBV (39% versus 2%; P=0.001), all of them had regional reperfusion (47% versus 0%; P=0.01), and 71% received intravenous alteplase. VLCBV lesion (odds ratio, 33) and bridging with intravenous alteplase (odds ratio, 3.8) were independently associated with PH. In a separate model, reperfused-VLCBV remained the single independent predictor of PH (odds ratio, 53). CONCLUSIONS These results suggest that VLCBV can be used for risk stratification of patients scheduled to undergo endovascular therapy in trials and routine clinical practice.
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Affiliation(s)
- Nishant K Mishra
- From the Stanford Stroke Center, Department of Neurology and Neurological Sciences, Stanford University, Palo Alto, CA (N.K.M., S.C., M.S., M.M., S.K., C.W.C., G.W.A., M.G.L.); Department of Experimental Neurology, KU Leuven, Leuven, Belgium (A.W.); Department of Medicine and Neurology, Royal Melbourne Hospital, University of Melbourne, Victoria, Australia (B.C.V.C.); Stroke Center, Department of Neurology, Neurocenter (EOC) of Southern Switzerland, Lugano, Switzerland (C.W.C.); and Department of Radiology, Stanford University Medical Center, CA (R.B., M.P.M.)
| | - Søren Christensen
- From the Stanford Stroke Center, Department of Neurology and Neurological Sciences, Stanford University, Palo Alto, CA (N.K.M., S.C., M.S., M.M., S.K., C.W.C., G.W.A., M.G.L.); Department of Experimental Neurology, KU Leuven, Leuven, Belgium (A.W.); Department of Medicine and Neurology, Royal Melbourne Hospital, University of Melbourne, Victoria, Australia (B.C.V.C.); Stroke Center, Department of Neurology, Neurocenter (EOC) of Southern Switzerland, Lugano, Switzerland (C.W.C.); and Department of Radiology, Stanford University Medical Center, CA (R.B., M.P.M.)
| | - Anke Wouters
- From the Stanford Stroke Center, Department of Neurology and Neurological Sciences, Stanford University, Palo Alto, CA (N.K.M., S.C., M.S., M.M., S.K., C.W.C., G.W.A., M.G.L.); Department of Experimental Neurology, KU Leuven, Leuven, Belgium (A.W.); Department of Medicine and Neurology, Royal Melbourne Hospital, University of Melbourne, Victoria, Australia (B.C.V.C.); Stroke Center, Department of Neurology, Neurocenter (EOC) of Southern Switzerland, Lugano, Switzerland (C.W.C.); and Department of Radiology, Stanford University Medical Center, CA (R.B., M.P.M.)
| | - Bruce C V Campbell
- From the Stanford Stroke Center, Department of Neurology and Neurological Sciences, Stanford University, Palo Alto, CA (N.K.M., S.C., M.S., M.M., S.K., C.W.C., G.W.A., M.G.L.); Department of Experimental Neurology, KU Leuven, Leuven, Belgium (A.W.); Department of Medicine and Neurology, Royal Melbourne Hospital, University of Melbourne, Victoria, Australia (B.C.V.C.); Stroke Center, Department of Neurology, Neurocenter (EOC) of Southern Switzerland, Lugano, Switzerland (C.W.C.); and Department of Radiology, Stanford University Medical Center, CA (R.B., M.P.M.)
| | - Matus Straka
- From the Stanford Stroke Center, Department of Neurology and Neurological Sciences, Stanford University, Palo Alto, CA (N.K.M., S.C., M.S., M.M., S.K., C.W.C., G.W.A., M.G.L.); Department of Experimental Neurology, KU Leuven, Leuven, Belgium (A.W.); Department of Medicine and Neurology, Royal Melbourne Hospital, University of Melbourne, Victoria, Australia (B.C.V.C.); Stroke Center, Department of Neurology, Neurocenter (EOC) of Southern Switzerland, Lugano, Switzerland (C.W.C.); and Department of Radiology, Stanford University Medical Center, CA (R.B., M.P.M.)
| | - Michael Mlynash
- From the Stanford Stroke Center, Department of Neurology and Neurological Sciences, Stanford University, Palo Alto, CA (N.K.M., S.C., M.S., M.M., S.K., C.W.C., G.W.A., M.G.L.); Department of Experimental Neurology, KU Leuven, Leuven, Belgium (A.W.); Department of Medicine and Neurology, Royal Melbourne Hospital, University of Melbourne, Victoria, Australia (B.C.V.C.); Stroke Center, Department of Neurology, Neurocenter (EOC) of Southern Switzerland, Lugano, Switzerland (C.W.C.); and Department of Radiology, Stanford University Medical Center, CA (R.B., M.P.M.)
| | - Stephanie Kemp
- From the Stanford Stroke Center, Department of Neurology and Neurological Sciences, Stanford University, Palo Alto, CA (N.K.M., S.C., M.S., M.M., S.K., C.W.C., G.W.A., M.G.L.); Department of Experimental Neurology, KU Leuven, Leuven, Belgium (A.W.); Department of Medicine and Neurology, Royal Melbourne Hospital, University of Melbourne, Victoria, Australia (B.C.V.C.); Stroke Center, Department of Neurology, Neurocenter (EOC) of Southern Switzerland, Lugano, Switzerland (C.W.C.); and Department of Radiology, Stanford University Medical Center, CA (R.B., M.P.M.)
| | - Carlo W Cereda
- From the Stanford Stroke Center, Department of Neurology and Neurological Sciences, Stanford University, Palo Alto, CA (N.K.M., S.C., M.S., M.M., S.K., C.W.C., G.W.A., M.G.L.); Department of Experimental Neurology, KU Leuven, Leuven, Belgium (A.W.); Department of Medicine and Neurology, Royal Melbourne Hospital, University of Melbourne, Victoria, Australia (B.C.V.C.); Stroke Center, Department of Neurology, Neurocenter (EOC) of Southern Switzerland, Lugano, Switzerland (C.W.C.); and Department of Radiology, Stanford University Medical Center, CA (R.B., M.P.M.)
| | - Roland Bammer
- From the Stanford Stroke Center, Department of Neurology and Neurological Sciences, Stanford University, Palo Alto, CA (N.K.M., S.C., M.S., M.M., S.K., C.W.C., G.W.A., M.G.L.); Department of Experimental Neurology, KU Leuven, Leuven, Belgium (A.W.); Department of Medicine and Neurology, Royal Melbourne Hospital, University of Melbourne, Victoria, Australia (B.C.V.C.); Stroke Center, Department of Neurology, Neurocenter (EOC) of Southern Switzerland, Lugano, Switzerland (C.W.C.); and Department of Radiology, Stanford University Medical Center, CA (R.B., M.P.M.)
| | - Michael P Marks
- From the Stanford Stroke Center, Department of Neurology and Neurological Sciences, Stanford University, Palo Alto, CA (N.K.M., S.C., M.S., M.M., S.K., C.W.C., G.W.A., M.G.L.); Department of Experimental Neurology, KU Leuven, Leuven, Belgium (A.W.); Department of Medicine and Neurology, Royal Melbourne Hospital, University of Melbourne, Victoria, Australia (B.C.V.C.); Stroke Center, Department of Neurology, Neurocenter (EOC) of Southern Switzerland, Lugano, Switzerland (C.W.C.); and Department of Radiology, Stanford University Medical Center, CA (R.B., M.P.M.)
| | - Gregory W Albers
- From the Stanford Stroke Center, Department of Neurology and Neurological Sciences, Stanford University, Palo Alto, CA (N.K.M., S.C., M.S., M.M., S.K., C.W.C., G.W.A., M.G.L.); Department of Experimental Neurology, KU Leuven, Leuven, Belgium (A.W.); Department of Medicine and Neurology, Royal Melbourne Hospital, University of Melbourne, Victoria, Australia (B.C.V.C.); Stroke Center, Department of Neurology, Neurocenter (EOC) of Southern Switzerland, Lugano, Switzerland (C.W.C.); and Department of Radiology, Stanford University Medical Center, CA (R.B., M.P.M.)
| | - Maarten G Lansberg
- From the Stanford Stroke Center, Department of Neurology and Neurological Sciences, Stanford University, Palo Alto, CA (N.K.M., S.C., M.S., M.M., S.K., C.W.C., G.W.A., M.G.L.); Department of Experimental Neurology, KU Leuven, Leuven, Belgium (A.W.); Department of Medicine and Neurology, Royal Melbourne Hospital, University of Melbourne, Victoria, Australia (B.C.V.C.); Stroke Center, Department of Neurology, Neurocenter (EOC) of Southern Switzerland, Lugano, Switzerland (C.W.C.); and Department of Radiology, Stanford University Medical Center, CA (R.B., M.P.M.).
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Bivard A, Levi C, Krishnamurthy V, McElduff P, Miteff F, Spratt NJ, Bateman G, Donnan G, Davis S, Parsons M. Perfusion computed tomography to assist decision making for stroke thrombolysis. Brain 2015; 138:1919-31. [PMID: 25808369 PMCID: PMC4572482 DOI: 10.1093/brain/awv071] [Citation(s) in RCA: 96] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2014] [Accepted: 01/21/2015] [Indexed: 11/13/2022] Open
Abstract
The use of perfusion imaging to guide selection of patients for stroke thrombolysis remains controversial because of lack of supportive phase three clinical trial evidence. We aimed to measure the outcomes for patients treated with intravenous recombinant tissue plasminogen activator (rtPA) at a comprehensive stroke care facility where perfusion computed tomography was routinely used for thrombolysis eligibility decision assistance. Our overall hypothesis was that patients with 'target' mismatch on perfusion computed tomography would have improved outcomes with rtPA. This was a prospective cohort study of consecutive ischaemic stroke patients who fulfilled standard clinical/non-contrast computed tomography eligibility criteria for treatment with intravenous rtPA, but for whom perfusion computed tomography was used to guide the final treatment decision. The 'real-time' perfusion computed tomography assessments were qualitative; a large perfusion computed tomography ischaemic core, or lack of significant perfusion lesion-core mismatch were considered relative exclusion criteria for thrombolysis. Specific volumetric perfusion computed tomography criteria were not used for the treatment decision. The primary analysis compared 3-month modified Rankin Scale in treated versus untreated patients after 'off-line' (post-treatment) quantitative volumetric perfusion computed tomography eligibility assessment based on presence or absence of 'target' perfusion lesion-core mismatch (mismatch ratio >1.8 and volume >15 ml, core <70 ml). In a second analysis, we compared outcomes of the perfusion computed tomography-selected rtPA-treated patients to an Australian historical cohort of non-contrast computed tomography-selected rtPA-treated patients. Of 635 patients with acute ischaemic stroke eligible for rtPA by standard criteria, thrombolysis was given to 366 patients, with 269 excluded based on visual real-time perfusion computed tomography assessment. After off-line quantitative perfusion computed tomography classification: 253 treated patients and 83 untreated patients had 'target' mismatch, 56 treated and 31 untreated patients had a large ischaemic core, and 57 treated and 155 untreated patients had no target mismatch. In the primary analysis, only in the target mismatch subgroup did rtPA-treated patients have significantly better outcomes (odds ratio for 3-month, modified Rankin Scale 0-2 = 13.8, P < 0.001). With respect to the perfusion computed tomography selected rtPA-treated patients (n = 366) versus the clinical/non-contrast computed tomography selected rtPA-treated patients (n = 396), the perfusion computed tomography selected group had higher adjusted odds of excellent outcome (modified Rankin Scale 0-1 odds ratio 1.59, P = 0.009) and lower mortality (odds ratio 0.56, P = 0.021). Although based on observational data sets, our analyses provide support for the hypothesis that perfusion computed tomography improves the identification of patients likely to respond to thrombolysis, and also those in whom natural history may be difficult to modify with treatment.
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Affiliation(s)
- Andrew Bivard
- 1 Department of Neurology, John Hunter Hospital, University of Newcastle, New South Wales, Australia
| | - Christopher Levi
- 1 Department of Neurology, John Hunter Hospital, University of Newcastle, New South Wales, Australia
| | - Venkatesh Krishnamurthy
- 1 Department of Neurology, John Hunter Hospital, University of Newcastle, New South Wales, Australia
| | - Patrick McElduff
- 1 Department of Neurology, John Hunter Hospital, University of Newcastle, New South Wales, Australia
| | - Ferdi Miteff
- 1 Department of Neurology, John Hunter Hospital, University of Newcastle, New South Wales, Australia
| | - Neil J Spratt
- 1 Department of Neurology, John Hunter Hospital, University of Newcastle, New South Wales, Australia
| | - Grant Bateman
- 2 Department of Radiology, John Hunter Hospital, University of Newcastle New South Wales, Australia
| | - Geoffrey Donnan
- 3 Melbourne Brain Centre, Florey Neuroscience Institute, University of Melbourne, Parkville, Victoria, Australia
| | - Stephen Davis
- 3 Melbourne Brain Centre, Florey Neuroscience Institute, University of Melbourne, Parkville, Victoria, Australia
| | - Mark Parsons
- 1 Department of Neurology, John Hunter Hospital, University of Newcastle, New South Wales, Australia
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Abstract
PURPOSE OF REVIEW To summarize what is known about the use of MRI in acute stroke treatment (predominantly thrombolysis), to examine the assumptions and theories behind the interpretation of magnetic resonance images of acute ischemic stroke and how they are used to select patients for therapies, and to suggest directions for future research. RECENT FINDINGS Recent studies have been contradictory about the usefulness of MRI in selecting patients for treatment. New MRI models for selecting patients have emerged that focus not only on the ischemic penumbra but also on the infarct core. Fixed time-window selection parameters are being replaced by timing-based individualized MRI stroke features. New ways to interpret traditional MRI stroke sequences are emerging. SUMMARY Although the efficacy of acute stroke treatment is time dependent, the use of fixed time windows cannot account for individual differences in infarct evolution, which could potentially be detected with MRI. Although MRI shows promise for identifying patients who should be treated, as well as excluding patients who should not be treated, definitive evidence is still lacking. Future research should focus on validating the use of MRI to select patients for intravenous therapies in extended time windows.
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Gould B, McCourt R, Gioia LC, Kate M, Hill MD, Asdaghi N, Dowlatshahi D, Jeerakathil T, Coutts SB, Demchuk AM, Emery D, Shuaib A, Butcher K. Acute blood pressure reduction in patients with intracerebral hemorrhage does not result in borderzone region hypoperfusion. Stroke 2014; 45:2894-9. [PMID: 25147326 DOI: 10.1161/strokeaha.114.005614] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND AND PURPOSE The Intracerebral Hemorrhage Acutely Decreasing Arterial Pressure Trial (ICH ADAPT) demonstrated blood pressure (BP) reduction does not affect mean perihematoma or hemispheric cerebral blood flow. Nonetheless, portions of the perihematoma and borderzones may reach ischemic thresholds after BP reduction. We tested the hypothesis that BP reduction after intracerebral hemorrhage results in increased critically hypoperfused tissue volumes. METHODS Patients with Intracerebral hemorrhage were randomized to a target systolic BP (SBP) of <150 or <180 mm Hg and imaged with computed tomographic perfusion 2 hours later. The volumes of tissue below cerebral blood flow thresholds for ischemia (<18 mL/100 g/min) and infarction (<12 mL/100 g/min) were calculated as a percentage of the total volume within the internal and external borderzones and the perihematoma region. RESULTS Seventy-five patients with intracerebral hemorrhage were randomized a median (interquartile range) of 7.8 (13.3) hours from onset. Acute hematoma volume was 17.8 (27.1) mL and mean SBP was 183±22 mm Hg. At the time of computed tomographic perfusion (2.3 [1.0] hours after randomization), SBP was lower in the <150 mm Hg (n=37; 140±18 mm Hg) than in the <180 mm Hg group (n=36; 162±12 mm Hg; P<0.001). BP treatment did not affect the percentage of total borderzone tissue with cerebral blood flow<18 (14.7±13.6 versus 15.6±13.7%; P=0.78) or <12 mL/100 g/min (5.1±5.1 versus 5.8±6.8%; P=0.62). Similar results were found in the perihematoma region. Low SBP load (fraction of time with SBP<150 mmHg) did not predict borderzone tissue volume with cerebral blood flow<18 mL/100 g/min (β=0.023 [-0.073, 0.119]). CONCLUSIONS BP reduction does not increase the volume of critically hypoperfused borderzone or perihematoma tissue. These data support the safety of early BP reduction in intracerebral hemorrhage. CLINICAL TRIAL REGISTRATION URL http://www.clinicaltrials.gov. Unique identifier: NCT00963976.
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Affiliation(s)
- Bronwen Gould
- From the Division of Neurology (B.G., R.M., L.C.G., M.K., T.J., A.S., K.B.) and Department of Diagnostic Imaging (D.E.), University of Alberta, Edmonton, Alberta, Canada; Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada (M.D.H., S.B.C., A.M.D.); Division of Neurology, University of British Columbia, Vancouver, British Columbia, Canada (N.A.); and Division of Neurology, University of British Columbia, Ottawa, Ontario, Canada (D.D.)
| | - Rebecca McCourt
- From the Division of Neurology (B.G., R.M., L.C.G., M.K., T.J., A.S., K.B.) and Department of Diagnostic Imaging (D.E.), University of Alberta, Edmonton, Alberta, Canada; Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada (M.D.H., S.B.C., A.M.D.); Division of Neurology, University of British Columbia, Vancouver, British Columbia, Canada (N.A.); and Division of Neurology, University of British Columbia, Ottawa, Ontario, Canada (D.D.)
| | - Laura C Gioia
- From the Division of Neurology (B.G., R.M., L.C.G., M.K., T.J., A.S., K.B.) and Department of Diagnostic Imaging (D.E.), University of Alberta, Edmonton, Alberta, Canada; Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada (M.D.H., S.B.C., A.M.D.); Division of Neurology, University of British Columbia, Vancouver, British Columbia, Canada (N.A.); and Division of Neurology, University of British Columbia, Ottawa, Ontario, Canada (D.D.)
| | - Mahesh Kate
- From the Division of Neurology (B.G., R.M., L.C.G., M.K., T.J., A.S., K.B.) and Department of Diagnostic Imaging (D.E.), University of Alberta, Edmonton, Alberta, Canada; Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada (M.D.H., S.B.C., A.M.D.); Division of Neurology, University of British Columbia, Vancouver, British Columbia, Canada (N.A.); and Division of Neurology, University of British Columbia, Ottawa, Ontario, Canada (D.D.)
| | - Michael D Hill
- From the Division of Neurology (B.G., R.M., L.C.G., M.K., T.J., A.S., K.B.) and Department of Diagnostic Imaging (D.E.), University of Alberta, Edmonton, Alberta, Canada; Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada (M.D.H., S.B.C., A.M.D.); Division of Neurology, University of British Columbia, Vancouver, British Columbia, Canada (N.A.); and Division of Neurology, University of British Columbia, Ottawa, Ontario, Canada (D.D.)
| | - Negar Asdaghi
- From the Division of Neurology (B.G., R.M., L.C.G., M.K., T.J., A.S., K.B.) and Department of Diagnostic Imaging (D.E.), University of Alberta, Edmonton, Alberta, Canada; Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada (M.D.H., S.B.C., A.M.D.); Division of Neurology, University of British Columbia, Vancouver, British Columbia, Canada (N.A.); and Division of Neurology, University of British Columbia, Ottawa, Ontario, Canada (D.D.)
| | - Dariush Dowlatshahi
- From the Division of Neurology (B.G., R.M., L.C.G., M.K., T.J., A.S., K.B.) and Department of Diagnostic Imaging (D.E.), University of Alberta, Edmonton, Alberta, Canada; Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada (M.D.H., S.B.C., A.M.D.); Division of Neurology, University of British Columbia, Vancouver, British Columbia, Canada (N.A.); and Division of Neurology, University of British Columbia, Ottawa, Ontario, Canada (D.D.)
| | - Thomas Jeerakathil
- From the Division of Neurology (B.G., R.M., L.C.G., M.K., T.J., A.S., K.B.) and Department of Diagnostic Imaging (D.E.), University of Alberta, Edmonton, Alberta, Canada; Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada (M.D.H., S.B.C., A.M.D.); Division of Neurology, University of British Columbia, Vancouver, British Columbia, Canada (N.A.); and Division of Neurology, University of British Columbia, Ottawa, Ontario, Canada (D.D.)
| | - Shelagh B Coutts
- From the Division of Neurology (B.G., R.M., L.C.G., M.K., T.J., A.S., K.B.) and Department of Diagnostic Imaging (D.E.), University of Alberta, Edmonton, Alberta, Canada; Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada (M.D.H., S.B.C., A.M.D.); Division of Neurology, University of British Columbia, Vancouver, British Columbia, Canada (N.A.); and Division of Neurology, University of British Columbia, Ottawa, Ontario, Canada (D.D.)
| | - Andrew M Demchuk
- From the Division of Neurology (B.G., R.M., L.C.G., M.K., T.J., A.S., K.B.) and Department of Diagnostic Imaging (D.E.), University of Alberta, Edmonton, Alberta, Canada; Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada (M.D.H., S.B.C., A.M.D.); Division of Neurology, University of British Columbia, Vancouver, British Columbia, Canada (N.A.); and Division of Neurology, University of British Columbia, Ottawa, Ontario, Canada (D.D.)
| | - Derek Emery
- From the Division of Neurology (B.G., R.M., L.C.G., M.K., T.J., A.S., K.B.) and Department of Diagnostic Imaging (D.E.), University of Alberta, Edmonton, Alberta, Canada; Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada (M.D.H., S.B.C., A.M.D.); Division of Neurology, University of British Columbia, Vancouver, British Columbia, Canada (N.A.); and Division of Neurology, University of British Columbia, Ottawa, Ontario, Canada (D.D.)
| | - Ashfaq Shuaib
- From the Division of Neurology (B.G., R.M., L.C.G., M.K., T.J., A.S., K.B.) and Department of Diagnostic Imaging (D.E.), University of Alberta, Edmonton, Alberta, Canada; Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada (M.D.H., S.B.C., A.M.D.); Division of Neurology, University of British Columbia, Vancouver, British Columbia, Canada (N.A.); and Division of Neurology, University of British Columbia, Ottawa, Ontario, Canada (D.D.)
| | - Ken Butcher
- From the Division of Neurology (B.G., R.M., L.C.G., M.K., T.J., A.S., K.B.) and Department of Diagnostic Imaging (D.E.), University of Alberta, Edmonton, Alberta, Canada; Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada (M.D.H., S.B.C., A.M.D.); Division of Neurology, University of British Columbia, Vancouver, British Columbia, Canada (N.A.); and Division of Neurology, University of British Columbia, Ottawa, Ontario, Canada (D.D.).
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Abstract
BACKGROUND Most strokes are due to blockage of an artery in the brain by a blood clot. Prompt treatment with thrombolytic drugs can restore blood flow before major brain damage has occurred and improve recovery after stroke in some people. Thrombolytic drugs, however, can also cause serious bleeding in the brain, which can be fatal. One drug, recombinant tissue plasminogen activator (rt-PA), is licensed for use in selected patients within 4.5 hours of stroke in Europe and within three hours in the USA. There is an upper age limit of 80 years in some countries, and a limitation to mainly non-severe stroke in others. Forty per cent more data are available since this review was last updated in 2009. OBJECTIVES To determine whether, and in what circumstances, thrombolytic therapy might be an effective and safe treatment for acute ischaemic stroke. SEARCH METHODS We searched the Cochrane Stroke Group Trials Register (last searched November 2013), MEDLINE (1966 to November 2013) and EMBASE (1980 to November 2013). We also handsearched conference proceedings and journals, searched reference lists and contacted pharmaceutical companies and trialists. SELECTION CRITERIA Randomised trials of any thrombolytic agent compared with control in people with definite ischaemic stroke. DATA COLLECTION AND ANALYSIS Two review authors applied the inclusion criteria, extracted data and assessed trial quality. We verified the extracted data with investigators of all major trials, obtaining additional unpublished data if available. MAIN RESULTS We included 27 trials, involving 10,187 participants, testing urokinase, streptokinase, rt-PA, recombinant pro-urokinase or desmoteplase. Four trials used intra-arterial administration, while the rest used the intravenous route. Most data come from trials that started treatment up to six hours after stroke. About 44% of the trials (about 70% of the participants) were testing intravenous rt-PA. In earlier studies very few of the participants (0.5%) were aged over 80 years; in this update, 16% of participants are over 80 years of age due to the inclusion of IST-3 (53% of participants in this trial were aged over 80 years). Trials published more recently utilised computerised randomisation, so there are less likely to be baseline imbalances than in previous versions of the review. More than 50% of trials fulfilled criteria for high-grade concealment; there were few losses to follow-up for the main outcomes.Thrombolytic therapy, mostly administered up to six hours after ischaemic stroke, significantly reduced the proportion of participants who were dead or dependent (modified Rankin 3 to 6) at three to six months after stroke (odds ratio (OR) 0.85, 95% confidence interval (CI) 0.78 to 0.93). Thrombolytic therapy increased the risk of symptomatic intracranial haemorrhage (OR 3.75, 95% CI 3.11 to 4.51), early death (OR 1.69, 95% CI 1.44 to 1.98; 13 trials, 7458 participants) and death by three to six months after stroke (OR 1.18, 95% CI 1.06 to 1.30). Early death after thrombolysis was mostly attributable to intracranial haemorrhage. Treatment within three hours of stroke was more effective in reducing death or dependency (OR 0.66, 95% CI 0.56 to 0.79) without any increase in death (OR 0.99, 95% CI 0.82 to 1.21; 11 trials, 2187 participants). There was heterogeneity between the trials. Contemporaneous antithrombotic drugs increased the risk of death. Trials testing rt-PA showed a significant reduction in death or dependency with treatment up to six hours (OR 0.84, 95% CI 0.77 to 0.93, P = 0.0006; 8 trials, 6729 participants) with significant heterogeneity; treatment within three hours was more beneficial (OR 0.65, 95% CI 0.54 to 0.80, P < 0.0001; 6 trials, 1779 participants) without heterogeneity. Participants aged over 80 years benefited equally to those aged under 80 years, particularly if treated within three hours of stroke. AUTHORS' CONCLUSIONS Thrombolytic therapy given up to six hours after stroke reduces the proportion of dead or dependent people. Those treated within the first three hours derive substantially more benefit than with later treatment. This overall benefit was apparent despite an increase in symptomatic intracranial haemorrhage, deaths at seven to 10 days, and deaths at final follow-up (except for trials testing rt-PA, which had no effect on death at final follow-up). Further trials are needed to identify the latest time window, whether people with mild stroke benefit from thrombolysis, to find ways of reducing symptomatic intracranial haemorrhage and deaths, and to identify the environment in which thrombolysis may best be given in routine practice.
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Affiliation(s)
- Joanna M Wardlaw
- University of EdinburghCentre for Clinical Brain SciencesThe Chancellor's Building49 Little France CrescentEdinburghUKEH16 4SB
| | - Veronica Murray
- Danderyd HospitalDepartment of Clinical Sciences, Karolinska InstitutetStockholmSwedenSE‐182 88
| | - Eivind Berge
- Oslo University HospitalDepartment of Internal MedicineOsloNorwayNO‐0407
| | - Gregory J del Zoppo
- University of WashingtonDepartment of Medicine (Division of Hematology), Department of Neurology325 Ninth AvenueBox 359756SeattleWashingtonUSA98104
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46
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Heiss WD, Kidwell CS. Imaging for prediction of functional outcome and assessment of recovery in ischemic stroke. Stroke 2014; 45:1195-201. [PMID: 24595589 DOI: 10.1161/strokeaha.113.003611] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Affiliation(s)
- Wolf-Dieter Heiss
- From the Max Planck Institute for Neurological Research, Cologne, Germany (W.-D.H.); and Departments of Neurology and Medical Imaging, University of Arizona, Tucson (C.S.K.)
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47
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McDowell MM, Kellner CP, Barton SM, Mikell CB, Sussman ES, Heuts SG, Connolly ES. The role of advanced neuroimaging in intracerebral hemorrhage. Neurosurg Focus 2014; 34:E2. [PMID: 23544408 DOI: 10.3171/2013.1.focus12409] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
In this report, the authors sought to summarize existing literature to provide an overview of the currently available techniques and to critically assess the evidence for or against their application in intracerebral hemorrhage (ICH) for management, prognostication, and research. Functional imaging in ICH represents a potential major step forward in the ability of physicians to assess patients suffering from this devastating illness due to the advantages over standing imaging modalities focused on general tissue structure alone, but its use is highly controversial due to the relative paucity of literature and the lack of consolidation of the predominantly small data sets that are currently in existence. Current data support that diffusion tensor imaging and tractography, diffusion-perfusion weighted MRI techniques, and functional MRI all possess major potential in the areas of highlighting motor deficits, motor recovery, and network reorganization. Novel clinical studies designed to objectively assess the value of each of these modalities on a wider scale in conjunction with other methods of investigation and management will allow for their rapid incorporation into standard practice.
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Affiliation(s)
- Michael M McDowell
- Department of Neurological Surgery, Columbia University, New York, New York, USA
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48
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Hoffmann A, Zhu G, Wintermark M. Advanced neuroimaging in stroke patients: prediction of tissue fate and hemorrhagic transformation. Expert Rev Cardiovasc Ther 2014; 10:515-24. [DOI: 10.1586/erc.12.30] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
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49
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Manning NW, Campbell BCV, Oxley TJ, Chapot R. Acute ischemic stroke: time, penumbra, and reperfusion. Stroke 2014; 45:640-4. [PMID: 24399376 DOI: 10.1161/strokeaha.113.003798] [Citation(s) in RCA: 93] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Affiliation(s)
- Nathan W Manning
- From the Florey Institute of Neuroscience and Mental Health (N.W.M., B.C.V.C., T.J.O.) and Department of Medicine and Neurology, Melbourne Brain Centre at the Royal Melbourne Hospital (B.C.V.C., T.J.O.), University of Melbourne, Parkville, Australia; and Department of Intracranial Endovascular Therapy, Alfried-Krupp Krankenhaus Hospital, Essen, Germany (R.C.)
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50
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Davis S, Donnan GA. Time Is Penumbra: Imaging, Selection and Outcome. Cerebrovasc Dis 2014; 38:59-72. [DOI: 10.1159/000365503] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2014] [Accepted: 06/25/2014] [Indexed: 11/19/2022] Open
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