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Tang A, Ma X, Ren Y, Zhang H, Xie W, Liu M, Sheng S, Mao K. External validation and comparison of MBE, EDEMA, and modified EDEMA scores for predicting malignant cerebral EDEMA in Chinese patients with large hemispheric infarction patients without revascularization. J Clin Neurosci 2024; 122:66-72. [PMID: 38489953 DOI: 10.1016/j.jocn.2024.03.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 03/02/2024] [Accepted: 03/06/2024] [Indexed: 03/17/2024]
Abstract
BACKGROUND Malignant cerebral edema (MCE) is a severe condition characterized by rapid neurological deterioration and a potentially poor prognosis. Scoring systems including the malignant brain edema (MBE) score, Enhanced Detection of Edema in Malignant Anterior Circulation Stroke score (EDEMA), and modified EDEMA score, have been developed to predict MCE in patients with large hemispheric infarction (LHI). We aimed to externally validate and comparethe predictive efficacy of these scores in LHI patients within 48 h of onset and not undergoing reperfusion therapy. METHODS Demographic, clinical and radiological data were retrospectively collected from LHI patients within 48 h of onset and not receiving reperfusion therapy. Patients were divided into MCE and non-MCE group. The calibration, discrimination, and clinical practicability of the three scores were verified using Hosmer-Lemeshow goodness-of-fit test, receiver operating characteristic (ROC) curve analysis and decision curve analysis (DCA), respectively. Finally, continuous net reclassification improvement (NRI) and integrated discrimination improvement (IDI) were applied to determine the discrimination performance of the three scores. RESULTS A total of 314 patients were included in the study, with 122 cases being MCE patients. The Hosmer-Lemeshow goodness-of-fit test showed excellent fitting ability across the MBE (p = 0.36), EDEMA (p = 0.61), and modified EDEMA scores (p = 0.62) in our patients. The MBE, EDEMA, and modified EDEMA scores had the AUCs of 0.855 (95 % CI 0.818-0.898), 0.782 (95 % CI 0.727-0.837) and 0.878 (95 % CI 0.844-0.919) respectively. The MBE (NRI, 0.33; 95 % CI, 0.11-0.56, p = 0.003 and IDI, 0.11; 95 % CI, 0.03-0.18; p = 0.004) and modified EDEMA scores (NRI, 1.10; 95 % CI, 0.94-1.26; p < 0.001 and IDI, 0.17; 95 % CI, 0.13-0.20, p < 0.001) showed better performance than the EDEMA score. DCA demonstrated that the modified EDEMA score outperformed the other two scores, possessing heightened clinical usefulness. CONCLUSIONS The MBE, EDEMA, and modified EDEMA scores for predicting MCE are also applicable in non-revascularization LHI patients within 48 h of onset. Both the MBE and modified EDEMA scores demonstrated higher predictive validity as predictive tools for MCE in LHI patients than the EDEMA score. Furthermore, the modified EDEMA score could be a suitable prediction tool in Chinese patients for its excellent clinical utility.
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Affiliation(s)
- Anqi Tang
- Department of Neurology, The Third Affiliated Hospital of Soochow University, Changzhou, China
| | - Xiaoming Ma
- North China University of Science and Technology, Tangshan, China
| | - Yi Ren
- Department of Neurology, The Third Affiliated Hospital of Soochow University, Changzhou, China
| | - Hao Zhang
- Department of Neurology, The Third Affiliated Hospital of Soochow University, Changzhou, China
| | - Wei Xie
- Department of Neurology, The Third Affiliated Hospital of Soochow University, Changzhou, China
| | - Meng Liu
- Department of Neurology, The Third Affiliated Hospital of Soochow University, Changzhou, China.
| | - Shiying Sheng
- Department of Neurology, The Third Affiliated Hospital of Soochow University, Changzhou, China.
| | - Keshi Mao
- Department of Neurology, The Third Affiliated Hospital of Soochow University, Changzhou, China.
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Faizy TD, Winkelmeier L, Mlynash M, Broocks G, Heitkamp C, Thaler C, van Horn N, Seners P, Kniep H, Stracke P, Zelenak K, Lansberg MG, Albers GW, Wintermark M, Fiehler J, Heit JJ. Brain edema growth after thrombectomy is associated with comprehensive collateral blood flow. J Neurointerv Surg 2023:jnis-2023-020921. [PMID: 37918909 DOI: 10.1136/jnis-2023-020921] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 10/13/2023] [Indexed: 11/04/2023]
Abstract
BACKGROUND We determined whether a comprehensive assessment of cerebral collateral blood flow is associated with ischemic lesion edema growth in patients successfully treated by thrombectomy. METHODS This was a multicenter retrospective study of ischemic stroke patients who underwent thrombectomy treatment of large vessel occlusions. Collateral status was determined using the cerebral collateral cascade (CCC) model, which comprises three components: arterial collaterals (Tan Scale) and venous outflow profiles (Cortical Vein Opacification Score) on CT angiography, and tissue-level collaterals (hypoperfusion intensity ratio) on CT perfusion. Quantitative ischemic lesion net water uptake (NWU) was used to determine edema growth between admission and follow-up non-contrast head CT (ΔNWU). Three groups were defined: CCC+ (good pial collaterals, tissue-level collaterals, and venous outflow), CCC- (poor pial collaterals, tissue-level collaterals, and venous outflow), and CCCmixed (remainder of patients). Primary outcome was ischemic lesion edema growth (ΔNWU). Multivariable regression models were used to assess the primary and secondary outcomes. RESULTS 538 patients were included. 157 patients had CCC+, 274 patients CCCmixed, and 107 patients CCC- profiles. Multivariable regression analysis showed that compared with patients with CCC+ profiles, CCC- (β 1.99, 95% CI 0.68 to 3.30, P=0.003) and CCC mixed (β 1.65, 95% CI 0.75 to 2.56, P<0.001) profiles were associated with greater ischemic lesion edema growth (ΔNWU) after successful thrombectomy treatment. ΔNWU (OR 0.74, 95% CI 0.68 to 0.8, P<0.001) and CCC+ (OR 13.39, 95% CI 4.88 to 36.76, P<0.001) were independently associated with functional independence. CONCLUSION A comprehensive assessment of cerebral collaterals using the CCC model is strongly associated with edema growth and functional independence in acute stroke patients successfully treated by endovascular thrombectomy.
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Affiliation(s)
- Tobias D Faizy
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Laurens Winkelmeier
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Michael Mlynash
- Department of Neurology, Stanford Stroke Center, Stanford University, Stanford, California, USA
| | - Gabriel Broocks
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Christian Heitkamp
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Christian Thaler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Noel van Horn
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | | | - Helge Kniep
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Paul Stracke
- Section of Interventional Neuroradiology, University Hospital Munster, Munster, Germany
| | - Kamil Zelenak
- Clinic of Radiology, Comenius University in Bratislava Jessenius Faculty of Medicine in Martin, Martin, Slovakia
- Clinic of Radiology, University Hospital Martin, Martin, Slovakia
| | - Maarten G Lansberg
- Department of Neurology, Stanford Stroke Center, Stanford University, Stanford, California, USA
| | - Gregory W Albers
- Stanford Stroke Center, Stanford Medicine, Stanford, California, USA
| | - Max Wintermark
- Department of Neuroradiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Jens Fiehler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jeremy J Heit
- Radiology, Neuroadiology and Neurointervention Division, Stanford University, Stanford, California, USA
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Chen C, Yang J, Han Q, Wu Y, Li J, Xu T, Sun J, Gao X, Huang Y, Parsons MW, Lin L. Net water uptake within the ischemic penumbra predicts the presence of the midline shift in patients with acute ischemic stroke. Front Neurol 2023; 14:1246775. [PMID: 37840922 PMCID: PMC10570612 DOI: 10.3389/fneur.2023.1246775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Accepted: 08/25/2023] [Indexed: 10/17/2023] Open
Abstract
Objective The study aimed to explore the association between midline shift (MLS) and net water uptake (NWU) within the ischemic penumbra in acute ischemic stroke patients. Methods This was a retrospective cohort study that examined patients with anterior circulation stroke. Net water uptake within the acute ischemic core and penumbra was calculated using data from admission multimodal CT scans. The primary outcome was severe cerebral edema measured by the presence of MLS on 24 to 48 h follow-up CT scans. The presence of a significant MLS was defined by a deviation of the septum pellucidum from the midline on follow-up CT scans of at least 3 mm or greater due to the mass effect of ischemic edema. The net water uptake was compared between patients with and without MLS, followed by logistic regression analyses and receiver operating characteristics (ROCs) to assess the predictive power of net water uptake in MLS. Results A total of 133 patients were analyzed: 50 patients (37.6%) with MLS and 83 patients (62.4%) without. Compared to patients without MLS, patients with MLS had higher net water uptake within the core [6.8 (3.2-10.4) vs. 4.9 (2.2-8.1), P = 0.048] and higher net water uptake within the ischemic penumbra [2.9 (1.8-4.3) vs. 0.2 (-2.5-2.7), P < 0.001]. Penumbral net water uptake had higher predictive performance than net water uptake of the core in MLS [area under the curve: 0.708 vs. 0.603, p < 0.001]. Moreover, the penumbral net water uptake predicted MLS in the multivariate regression model, adjusting for age, sex, admission National Institutes of Health Stroke Scale (NIHSS), diabetes mellitus, atrial fibrillation, ischemic core volume, and poor collateral vessel status (OR = 1.165; 95% CI = 1.002-1.356; P = 0.047). No significant prediction was found for the net water uptake of the core in the multivariate regression model. Conclusion Net water uptake measured acutely within the ischemic penumbra could predict severe cerebral edema at 24-48 h.
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Affiliation(s)
- Cuiping Chen
- Department of Neurology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
| | - Jianhong Yang
- Department of Neurology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
| | - Qing Han
- Department of Neurology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
| | - Yuefei Wu
- Department of Neurology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
| | - Jichuan Li
- Department of Neurology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
| | - Tianqi Xu
- Department of Neurology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
| | - Jie Sun
- Department of Neurosurgery, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
| | - Xiang Gao
- Department of Neurosurgery, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
| | - Yi Huang
- Department of Neurosurgery, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
| | - Mark W. Parsons
- Department of Neurology, Liverpool Hospital, Sydney, NSW, Australia
- Sydney Brain Center, University of New South Wales, Sydney, NSW, Australia
| | - Longting Lin
- Department of Neurology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
- Sydney Brain Center, University of New South Wales, Sydney, NSW, Australia
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He Y, Zuo M, Huang J, Jiang Y, Zhou L, Li G, Chen L, Liu Q, Liang D, Wang Y, Wang L, Zhou Z. A Novel Nomogram for Predicting Malignant Cerebral Edema After Endovascular Thrombectomy in Acute Ischemic Stroke: A Retrospective Cohort Study. World Neurosurg 2023; 173:e548-e558. [PMID: 36842531 DOI: 10.1016/j.wneu.2023.02.091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 02/20/2023] [Indexed: 02/28/2023]
Abstract
BACKGROUND Malignant cerebral edema (MCE) is a common and feared complication after endovascular thrombectomy (EVT) in acute ischemic stroke (AIS). This study aimed to establish a nomogram to predict MCE in anterior circulation large vessel occlusion stroke (LVOS) patients receiving EVT in order to guide the postoperative medical care in the acute phase. METHODS In this retrospective cohort study, 381 patients with anterior circulation LVOS receiving EVT were screened from 636 hospitalized patients with LVOS at 2 stroke medical centers. Clinical baseline data and imaging data were collected within 2-5 days of admission to the hospital. The patients were divided into 2 groups based on whether MCE occurred after EVT. Multivariate logistic regression analysis was used to evaluate the independent risk factors for MCE and to establish a nomogram. RESULTS Sixty-six patients out of 381 (17.32%) developed MCE. The independent risk factors for MCE included admission National Institutes of Health Stroke Scale (NIHSS) ≥16 (odds ratio [OR] 1.851; 95% CI 1.029-3.329; P = 0.038), ASPECT score (OR 0.621; 95% CI 0.519-0.744; P < 0.001), right hemisphere (OR 1.636; 95% CI 0.941-2.843; P = 0.079), collateral circulation (OR 0.155; 95% CI 0.074-0.324; P < 0.001), recanalization (OR 0.223; 95% CI 0.109-0.457; P < 0.001), hematocrit (OR, 0.937; 95% CI: 0.892-0.985; P =0.010), and glucose (OR 1.118; 95% CI 1.023-1.223; P = 0.036), which were adopted as parameters of the nomogram. The receiver operating characteristic curve analysis showed that the area under the curve of the nomogram in predicting MCE was 0.901(95% CI 0.848-0.940; P < 0.001). The Hosmer-Lemeshow test results were not significant (P = 0.685), demonstrating a good calibration of the nomogram. CONCLUSIONS The novel nomogram composed of admission NIHSS, ASPECT scores, right hemisphere, collateral circulation, recanalization, hematocrit, and serum glucose provide a potential predictor for MCE in patients with AIS after EVT.
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Affiliation(s)
- Yuxuan He
- Department of Neurology, School of Medicine, Chongqing University, Chongqing, China; Department of Neurology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Meng Zuo
- Department of Neurology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Jialu Huang
- Department of Neurology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Ying Jiang
- Department of Neurology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Linke Zhou
- Department of Neurology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Guangjian Li
- Department of Neurology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Lin Chen
- Department of Neurology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Qu Liu
- Department of Neurology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Dingwen Liang
- Department of Neurology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yu Wang
- Department of Neurology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Li Wang
- Department of Neurology, Zigong Third People's Hospital, Zigong, Sichuang, China
| | - Zhenhua Zhou
- Department of Neurology, School of Medicine, Chongqing University, Chongqing, China; Department of Neurology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
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ASPECTS-based net water uptake predicts poor reperfusion and poor clinical outcomes in patients with ischemic stroke. Eur Radiol 2022; 32:7026-7035. [PMID: 35980434 DOI: 10.1007/s00330-022-09077-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Revised: 07/27/2022] [Accepted: 08/01/2022] [Indexed: 11/04/2022]
Abstract
OBJECTIVE To investigate the value of automated Alberta Stroke Program Early CT Score (ASPECTS)-based net water uptake (NWU) to predict tissue-level reperfusion status and 90-day functional outcomes in acute ischemic stroke (AIS) patients after reperfusion therapy. METHODS One hundred and twelve patients with AIS who received reperfusion therapy were enrolled. ASPECTS-NWU was calculated from admission CT (NWUadmission) and follow-up CT (NWUFCT), and the difference (ΔNWU) was calculated. Tissue-level reperfusion status was evaluated via follow-up arterial spin labeling imaging. The relationship between ASPECTS-NWU and tissue-level reperfusion was evaluated. Predictors of 90-day unfavorable outcomes (modified Rankin Scale score > 2) were assessed by multivariate logistic regression analysis and receiver operating characteristic (ROC) curves. RESULTS Poor reperfusion was observed in 40 patients (35.7%) after therapy. Those patients had significantly elevated NWUFCT (median, 14.15% vs. 8.08%, p = 0.018) and higher ΔNWU (median, 4.12% vs. -2.03%, p < 0.001), compared to patients with good reperfusion. High ΔNWU was a significant marker of poor reperfusion despite successful recanalization. National Institutes of Health Stroke Scale score at admission (odds ratio [OR], 1.11; 95% confidence interval [CI] 1.03-1.20, p = 0.007) and ΔNWU (OR, 1.07; 95% CI 1.02-1.13, p = 0.008) were independently associated with unfavorable outcomes. An outcome prediction model including both parameters yields an area under the curve of 0.762 (sensitivity 70.3%, specificity, 84.2%). CONCLUSIONS Elevated NWUFCT and higher ΔNWU were associated with poor tissue-level reperfusion after therapy. Higher ΔNWU was an independent predictor of poor reperfusion and unfavorable neurological outcomes despite successful recanalization. KEY POINTS • ASPECTS-NWU may provide pathophysiological information about tissue-level reperfusion status and offer prognostic benefits for patients with AIS after reperfusion therapy. • Elevated NWUFCT and higher ΔNWU were correlated with poor tissue-level reperfusion after therapy. • A higher ΔNWU is an independent predictor of poor reperfusion and 90-day unfavorable outcomes despite successful recanalization.
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Cappellari M, Sajeva G, Augelli R, Zivelonghi C, Plebani M, Mandruzzato N, Mangiafico S. Favourable collaterals according to the Careggi Collateral Score grading system in patients treated with thrombectomy for stroke with middle cerebral artery occlusion. J Thromb Thrombolysis 2022; 54:550-557. [PMID: 35982197 DOI: 10.1007/s11239-022-02692-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/30/2022] [Indexed: 11/28/2022]
Abstract
The ability of the current grading systems to predict optimal outcomes in stroke patients with favourable collaterals remains unexplored. We evaluated differences in the performance of grading systems between Careggi Collateral Score and ASITN/SIR collateral score to predict clinical and radiological outcomes in stroke patients with favourable collaterals who underwent thrombectomy. We included stroke patients receiving thrombectomy within 360 min after symptom onset with MCA occlusion and favourable collaterals (i.e., without poor collaterals) defined by ASITN/SIR collateral score between 2 and 4. Using ordinal regression, we estimated the association of each CCS and ASITN/SIR grade with mRS shift (0-6) at 3 months, NIHSS score (0-42) and ASPECT score (10-0) at baseline, TICI score (3-0), infarct growth, cerebral bleeding, and cerebral edema grading at 24 h by calculating the odds ratios (ORs) with two-sided 95% confidence intervals after adjustment for predefined variables. Using the best collateral grade (CCS = 4) as reference, ORs of the CCS grades were associated in the direction of unfavourable outcome on 3-month mRS shift (2.325 for CCS = 3; 5.092 for CCS = 2), in the direction of more severe baseline NIHSS score (5.434 for CCS = 3; 16.041 for CCS = 2), 24-h infarct growth (2.659 for CCS = 3; 8.288 for CCS = 4) and 24-h cerebral edema (1.057 for CCS = 3; 5.374 for CCS = 2) shift. ORs of the ASITN/SIR grades were associated in the direction of more severe baseline NIHSS score (4.332 for ASITN/SIR = 3; 16.960 for ASITN/SIR = 2) and 24-h infarct growth (2.138 for ASITN/SIR = 3; 7.490 for ASITN/SIR = 2) shift. The AUC ROC of CCS and ASITN/SIR for predicting 3-month mRS score 0-1 were 0.681 (95% CI: 0.562-0.799; p = 0.009) and 0.599 (95% CI: 0.466-0.73; p = 0.156), respectively. CCS = 4 and ASITN/SIR ≥ 3 were the optimal cut-offs to predict 3-month mRS score 0-1, respectively. CCS grading system performed better than the ASITN/SIR collateral score predicting 3-month mRS score and 24-h CED grading in stroke patients with favourable collaterals who received thrombectomy for MCA occlusion.
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Affiliation(s)
- Manuel Cappellari
- Stroke Unit, DAI Di Neuroscienze, Azienda Ospedaliera Universitaria Integrata, Piazzale A. Stefani 1, 37126, Verona, Italy.
| | - Giulia Sajeva
- Stroke Unit, DAI Di Neuroscienze, Azienda Ospedaliera Universitaria Integrata, Piazzale A. Stefani 1, 37126, Verona, Italy
| | - Raffaele Augelli
- Interventional Neurovascular Unit, Azienda Ospedaliera Universitaria Integrata, Verona, Italy
| | - Cecilia Zivelonghi
- Stroke Unit, DAI Di Neuroscienze, Azienda Ospedaliera Universitaria Integrata, Piazzale A. Stefani 1, 37126, Verona, Italy
| | - Mauro Plebani
- Interventional Neurovascular Unit, Azienda Ospedaliera Universitaria Integrata, Verona, Italy
| | - Nicolò Mandruzzato
- Interventional Neurovascular Unit, Azienda Ospedaliera Universitaria Integrata, Verona, Italy
| | - Salvatore Mangiafico
- Interventional Neurovascular Unit, Careggi University Hospital, Firenze, FL, Italy
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Uniken Venema SM, Dankbaar JW, van der Lugt A, Dippel DWJ, van der Worp HB. Cerebral Collateral Circulation in the Era of Reperfusion Therapies for Acute Ischemic Stroke. Stroke 2022; 53:3222-3234. [PMID: 35938420 DOI: 10.1161/strokeaha.121.037869] [Citation(s) in RCA: 20] [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
Clinical outcomes of patients with acute ischemic stroke depend in part on the extent of their collateral circulation. A good collateral circulation has also been associated with greater benefit of intravenous thrombolysis and endovascular treatment. Treatment decisions for these reperfusion therapies are increasingly guided by a combination of clinical and imaging parameters, particularly in later time windows. Computed tomography and magnetic resonance imaging enable a rapid assessment of both the collateral extent and cerebral perfusion. Yet, the role of the collateral circulation in clinical decision-making is currently limited and may be underappreciated due to the use of rather coarse and rater-dependent grading methods. In this review, we discuss determinants of the collateral circulation in patients with acute ischemic stroke, report on commonly used and emerging neuroimaging techniques for assessing the collateral circulation, and discuss the therapeutic and prognostic implications of the collateral circulation in relation to reperfusion therapies for acute ischemic stroke.
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Affiliation(s)
- Simone M Uniken Venema
- Department of Neurology and Neurosurgery, Brain Center, University Medical Center Utrecht, the Netherlands. (S.M.U.V., H.B.v.d.W.)
| | - Jan Willem Dankbaar
- Department of Radiology and Nuclear Medicine, University Medical Center Utrecht, the Netherlands. (J.W.D.)
| | - Aad van der Lugt
- Department of Radiology and Nuclear Medicine, Erasmus Medical Center Rotterdam, the Netherlands. (A.v.d.L.)
| | - Diederik W J Dippel
- Department of Neurology, Erasmus Medical Center Rotterdam, the Netherlands. (D.W.J.D.)
| | - H Bart van der Worp
- Department of Neurology and Neurosurgery, Brain Center, University Medical Center Utrecht, the Netherlands. (S.M.U.V., H.B.v.d.W.)
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Association of the careggi collateral score with radiological outcomes after thrombectomy for stroke with an occlusion of the middle cerebral artery. J Thromb Thrombolysis 2022; 54:309-317. [PMID: 35396661 DOI: 10.1007/s11239-022-02647-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/21/2022] [Indexed: 10/18/2022]
Abstract
We aimed to examine the association between Careggi Collateral Score (CCS) and radiological outcomes in a large multicenter cohort of patients receiving thrombectomy for stroke with occlusion of middle cerebral artery (MCA). We conducted a study on prospectively collected data from 1785 patients enrolled in the Italian Registry of Endovascular Treatment in Acute Stroke. According to the extension of the retrograde reperfusion in the cortical anterior cerebral artery-MCA territories, CCS ranges from 0 (absence of retrograde filling) to 4 (visualization of collaterals until the alar segment of the MCA). Radiological outcomes at 24 h were the presence and severity of infarct growth defined by the absolute change in ASPECTS from baseline to 24 h; presence and severity of cerebral bleeding defined as no ICH, HI-1, HI-2, PH-1, or PH-2; presence and severity of cerebral edema (CED) defined as no CED, CED-1, CED-2, or CED-3. Using CCS = 0 as reference, ORs of CCS grades were significantly associated in the direction of better radiological outcome on infarct growth (0.517 for CCS = 1, 0.413 for CCS = 2, 0.358 for CCS = 3, 0.236 for CCS = 4), cerebral bleeding grading (0.485 for CCS = 1, 0.445 for CCS = 2, 0.400 for CCS = 3, 0.379 for CCS = 4), and CED grading (0.734 for CCS = 1, 0.301 for CCS = 2, 0.295 for CCS = 3, 0.255 for CSS = 4) shift in ordinal regression analysis after adjustment for pre-defined variables (age, NIHSS score, ASPECTS, occlusion site, onset-to-groin puncture time, procedure time, and TICI score). Using CCS = 4 as reference, ORs of CCS grades were significantly associated in the direction of worse radiological outcome on infarct growth (1.521 for CCS = 3, 1.754 for CCS = 2, 2.193 for CCS = 1, 4.244 for CCS = 0), cerebral bleeding grading (2.498 for CCS = 0), and CED grading (1.365 for CCS = 2, 2.876 for CCS = 1, 3.916 for CCS = 0) shift. The CCS could improve the prognostic estimate of radiological outcomes in patients receiving thrombectomy for stroke with MCA occlusion.
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Zhang X, Huang P, Zhang R. Evaluation and Prediction of Post-stroke Cerebral Edema Based on Neuroimaging. Front Neurol 2022; 12:763018. [PMID: 35087464 PMCID: PMC8786707 DOI: 10.3389/fneur.2021.763018] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Accepted: 12/06/2021] [Indexed: 11/13/2022] Open
Abstract
Cerebral edema is a common complication of acute ischemic stroke that leads to poorer functional outcomes and substantially increases the mortality rate. Given that its negative effects can be reduced by more intensive monitoring and evidence-based interventions, the early identification of patients with a high risk of severe edema is crucial. Neuroimaging is essential for the assessment and prediction of edema. Simple markers, such as midline shift and hypodensity volume on computed tomography, have been used to evaluate edema in clinical trials; however, advanced techniques can be applied to examine the underlying mechanisms. In this study, we aimed to review current imaging tools in the assessment and prediction of cerebral edema to provide guidance for using these methods in clinical practice.
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Affiliation(s)
- Xiaocheng Zhang
- Department of Radiology, School of Medicine, The Second Affiliated Hospital of Zhejiang University, Hangzhou, China
| | - Peiyu Huang
- Department of Radiology, School of Medicine, The Second Affiliated Hospital of Zhejiang University, Hangzhou, China
| | - Ruiting Zhang
- Department of Radiology, School of Medicine, The Second Affiliated Hospital of Zhejiang University, Hangzhou, China
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Lee S, Jiang B, Wintermark M, Mlynash M, Christensen S, Sträter R, Broocks G, Grams A, Dorn F, Nikoubashman O, Kaiser D, Morotti A, Jensen-Kondering U, Trenkler J, Möhlenbruch M, Fiehler J, Wildgruber M, Kemmling A, Psychogios M, Sporns PB. Cerebrovascular Collateral Integrity in Pediatric Large Vessel Occlusion: Analysis of the Save ChildS Study. Neurology 2022; 98:e352-e363. [PMID: 34795051 DOI: 10.1212/wnl.0000000000013081] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Revised: 09/22/2021] [Accepted: 11/04/2021] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Robust cerebrovascular collaterals in adult patients with large vessel occlusion stroke have been associated with longer treatment windows, better recanalization rates, and improved outcomes, but the role of collaterals in pediatric stroke is not known. The primary aim was to determine whether favorable collaterals correlated with better radiographic and clinical outcomes in children with ischemic stroke who underwent thrombectomy. METHODS This study analyzed a subset of children enrolled in SaveChildS, a retrospective, multicenter, observational cohort study of 73 pediatric patients with stroke who underwent thrombectomy between 2000 and 2018 at 27 US and European centers. Included patients had baseline angiographic imaging and follow-up modified Rankin Scale scores available for review. Posterior circulation occlusions were excluded. Cerebrovascular collaterals were graded on acute neuroimaging by 2 blinded neuroradiologists according to the Tan collateral score, in which favorable collaterals are defined as >50% filling and unfavorable collaterals as <50% filling distal to the occluded vessel. Collateral status was correlated with clinical and neuroimaging characteristics and outcomes. Between-group comparisons were performed with the Wilcoxon rank-sum test for continuous variables or Fisher exact test for binary variables. RESULTS Thirty-three children (mean age 10.9 [SD ±4.9]) years were included; 14 (42.4%) had favorable collaterals. Median final stroke volume as a percent of total brain volume (TBV) was significantly lower in patients with favorable collaterals (1.35% [interquartile range (IQR) 1.14%-3.76%] vs 7.86% [IQR 1.54%-11.07%], p = 0.049). Collateral status did not correlate with clinical outcome, infarct growth, or final Alberta Stroke Program Early CT Score (ASPECTS) in our cohort. Patients with favorable collaterals had higher baseline ASPECTS (7 [IQR 6-8] vs 5.5 [4-6], p = 0.006), smaller baseline ischemic volume (1.57% TBV [IQR 1.09%-2.29%] vs 3.42% TBV [IQR 1.26%-5.33%], p = 0.035), and slower early infarct growth rate (2.4 mL/h [IQR 1.5-5.1 mL/h] vs 10.4 mL/h [IQR 3.0-30.7 mL/h], p = 0.028). DISCUSSION Favorable collaterals were associated with smaller final stroke burden and slower early infarct growth rate but not with better clinical outcome in our study. Prospective studies are needed to determine the impact of collaterals in childhood stroke. CLASSIFICATION OF EVIDENCE This study provides Class II evidence that in children with ischemic stroke undergoing thrombectomy, favorable collaterals were associated with improved radiographic outcomes but not with better clinical outcomes.
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Affiliation(s)
- Sarah Lee
- From the Department of Neurology & Neurological Sciences, Stanford Stroke Center (S.L., M. Mlynash, S.C.), Department of Neurology & Neurological Sciences (S.L.), Division of Child Neurology, and Department of Radiology (B.J., M. Wintermark), Division of Neuroradiology, Stanford University School of Medicine, CA; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F., P.B.S.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (F.D.), University Hospital Bonn; Department of Neuroradiology (O.N.), RWTH Aachen University; Department of Neuroradiology (D.K.), University Hospital Carl Gustav Carus, Dresden, Germany; ASST Valcamonica (A.M.), UOSD Neurology, Esine (BS), Brescia, Italy; Department of Radiology and Neuroradiology (U.J.-K.), University Hospital of Schleswig-Holstein, Campus Kiel; Institute of Neuroradiology (U.J.-K.), UKSH Campus Lübeck, Germany; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M. Möhlenbruch), Heidelberg University Hospital; Department of Radiology (M. Wildgruber), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; and Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology & Nuclear Medicine, University Hospital Basel, Switzerland.
| | - Bin Jiang
- From the Department of Neurology & Neurological Sciences, Stanford Stroke Center (S.L., M. Mlynash, S.C.), Department of Neurology & Neurological Sciences (S.L.), Division of Child Neurology, and Department of Radiology (B.J., M. Wintermark), Division of Neuroradiology, Stanford University School of Medicine, CA; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F., P.B.S.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (F.D.), University Hospital Bonn; Department of Neuroradiology (O.N.), RWTH Aachen University; Department of Neuroradiology (D.K.), University Hospital Carl Gustav Carus, Dresden, Germany; ASST Valcamonica (A.M.), UOSD Neurology, Esine (BS), Brescia, Italy; Department of Radiology and Neuroradiology (U.J.-K.), University Hospital of Schleswig-Holstein, Campus Kiel; Institute of Neuroradiology (U.J.-K.), UKSH Campus Lübeck, Germany; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M. Möhlenbruch), Heidelberg University Hospital; Department of Radiology (M. Wildgruber), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; and Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology & Nuclear Medicine, University Hospital Basel, Switzerland
| | - Max Wintermark
- From the Department of Neurology & Neurological Sciences, Stanford Stroke Center (S.L., M. Mlynash, S.C.), Department of Neurology & Neurological Sciences (S.L.), Division of Child Neurology, and Department of Radiology (B.J., M. Wintermark), Division of Neuroradiology, Stanford University School of Medicine, CA; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F., P.B.S.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (F.D.), University Hospital Bonn; Department of Neuroradiology (O.N.), RWTH Aachen University; Department of Neuroradiology (D.K.), University Hospital Carl Gustav Carus, Dresden, Germany; ASST Valcamonica (A.M.), UOSD Neurology, Esine (BS), Brescia, Italy; Department of Radiology and Neuroradiology (U.J.-K.), University Hospital of Schleswig-Holstein, Campus Kiel; Institute of Neuroradiology (U.J.-K.), UKSH Campus Lübeck, Germany; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M. Möhlenbruch), Heidelberg University Hospital; Department of Radiology (M. Wildgruber), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; and Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology & Nuclear Medicine, University Hospital Basel, Switzerland
| | - Michael Mlynash
- From the Department of Neurology & Neurological Sciences, Stanford Stroke Center (S.L., M. Mlynash, S.C.), Department of Neurology & Neurological Sciences (S.L.), Division of Child Neurology, and Department of Radiology (B.J., M. Wintermark), Division of Neuroradiology, Stanford University School of Medicine, CA; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F., P.B.S.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (F.D.), University Hospital Bonn; Department of Neuroradiology (O.N.), RWTH Aachen University; Department of Neuroradiology (D.K.), University Hospital Carl Gustav Carus, Dresden, Germany; ASST Valcamonica (A.M.), UOSD Neurology, Esine (BS), Brescia, Italy; Department of Radiology and Neuroradiology (U.J.-K.), University Hospital of Schleswig-Holstein, Campus Kiel; Institute of Neuroradiology (U.J.-K.), UKSH Campus Lübeck, Germany; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M. Möhlenbruch), Heidelberg University Hospital; Department of Radiology (M. Wildgruber), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; and Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology & Nuclear Medicine, University Hospital Basel, Switzerland
| | - Soren Christensen
- From the Department of Neurology & Neurological Sciences, Stanford Stroke Center (S.L., M. Mlynash, S.C.), Department of Neurology & Neurological Sciences (S.L.), Division of Child Neurology, and Department of Radiology (B.J., M. Wintermark), Division of Neuroradiology, Stanford University School of Medicine, CA; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F., P.B.S.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (F.D.), University Hospital Bonn; Department of Neuroradiology (O.N.), RWTH Aachen University; Department of Neuroradiology (D.K.), University Hospital Carl Gustav Carus, Dresden, Germany; ASST Valcamonica (A.M.), UOSD Neurology, Esine (BS), Brescia, Italy; Department of Radiology and Neuroradiology (U.J.-K.), University Hospital of Schleswig-Holstein, Campus Kiel; Institute of Neuroradiology (U.J.-K.), UKSH Campus Lübeck, Germany; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M. Möhlenbruch), Heidelberg University Hospital; Department of Radiology (M. Wildgruber), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; and Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology & Nuclear Medicine, University Hospital Basel, Switzerland
| | - Ronald Sträter
- From the Department of Neurology & Neurological Sciences, Stanford Stroke Center (S.L., M. Mlynash, S.C.), Department of Neurology & Neurological Sciences (S.L.), Division of Child Neurology, and Department of Radiology (B.J., M. Wintermark), Division of Neuroradiology, Stanford University School of Medicine, CA; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F., P.B.S.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (F.D.), University Hospital Bonn; Department of Neuroradiology (O.N.), RWTH Aachen University; Department of Neuroradiology (D.K.), University Hospital Carl Gustav Carus, Dresden, Germany; ASST Valcamonica (A.M.), UOSD Neurology, Esine (BS), Brescia, Italy; Department of Radiology and Neuroradiology (U.J.-K.), University Hospital of Schleswig-Holstein, Campus Kiel; Institute of Neuroradiology (U.J.-K.), UKSH Campus Lübeck, Germany; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M. Möhlenbruch), Heidelberg University Hospital; Department of Radiology (M. Wildgruber), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; and Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology & Nuclear Medicine, University Hospital Basel, Switzerland
| | - Gabriel Broocks
- From the Department of Neurology & Neurological Sciences, Stanford Stroke Center (S.L., M. Mlynash, S.C.), Department of Neurology & Neurological Sciences (S.L.), Division of Child Neurology, and Department of Radiology (B.J., M. Wintermark), Division of Neuroradiology, Stanford University School of Medicine, CA; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F., P.B.S.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (F.D.), University Hospital Bonn; Department of Neuroradiology (O.N.), RWTH Aachen University; Department of Neuroradiology (D.K.), University Hospital Carl Gustav Carus, Dresden, Germany; ASST Valcamonica (A.M.), UOSD Neurology, Esine (BS), Brescia, Italy; Department of Radiology and Neuroradiology (U.J.-K.), University Hospital of Schleswig-Holstein, Campus Kiel; Institute of Neuroradiology (U.J.-K.), UKSH Campus Lübeck, Germany; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M. Möhlenbruch), Heidelberg University Hospital; Department of Radiology (M. Wildgruber), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; and Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology & Nuclear Medicine, University Hospital Basel, Switzerland
| | - Astrid Grams
- From the Department of Neurology & Neurological Sciences, Stanford Stroke Center (S.L., M. Mlynash, S.C.), Department of Neurology & Neurological Sciences (S.L.), Division of Child Neurology, and Department of Radiology (B.J., M. Wintermark), Division of Neuroradiology, Stanford University School of Medicine, CA; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F., P.B.S.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (F.D.), University Hospital Bonn; Department of Neuroradiology (O.N.), RWTH Aachen University; Department of Neuroradiology (D.K.), University Hospital Carl Gustav Carus, Dresden, Germany; ASST Valcamonica (A.M.), UOSD Neurology, Esine (BS), Brescia, Italy; Department of Radiology and Neuroradiology (U.J.-K.), University Hospital of Schleswig-Holstein, Campus Kiel; Institute of Neuroradiology (U.J.-K.), UKSH Campus Lübeck, Germany; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M. Möhlenbruch), Heidelberg University Hospital; Department of Radiology (M. Wildgruber), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; and Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology & Nuclear Medicine, University Hospital Basel, Switzerland
| | - Franziska Dorn
- From the Department of Neurology & Neurological Sciences, Stanford Stroke Center (S.L., M. Mlynash, S.C.), Department of Neurology & Neurological Sciences (S.L.), Division of Child Neurology, and Department of Radiology (B.J., M. Wintermark), Division of Neuroradiology, Stanford University School of Medicine, CA; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F., P.B.S.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (F.D.), University Hospital Bonn; Department of Neuroradiology (O.N.), RWTH Aachen University; Department of Neuroradiology (D.K.), University Hospital Carl Gustav Carus, Dresden, Germany; ASST Valcamonica (A.M.), UOSD Neurology, Esine (BS), Brescia, Italy; Department of Radiology and Neuroradiology (U.J.-K.), University Hospital of Schleswig-Holstein, Campus Kiel; Institute of Neuroradiology (U.J.-K.), UKSH Campus Lübeck, Germany; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M. Möhlenbruch), Heidelberg University Hospital; Department of Radiology (M. Wildgruber), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; and Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology & Nuclear Medicine, University Hospital Basel, Switzerland
| | - Omid Nikoubashman
- From the Department of Neurology & Neurological Sciences, Stanford Stroke Center (S.L., M. Mlynash, S.C.), Department of Neurology & Neurological Sciences (S.L.), Division of Child Neurology, and Department of Radiology (B.J., M. Wintermark), Division of Neuroradiology, Stanford University School of Medicine, CA; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F., P.B.S.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (F.D.), University Hospital Bonn; Department of Neuroradiology (O.N.), RWTH Aachen University; Department of Neuroradiology (D.K.), University Hospital Carl Gustav Carus, Dresden, Germany; ASST Valcamonica (A.M.), UOSD Neurology, Esine (BS), Brescia, Italy; Department of Radiology and Neuroradiology (U.J.-K.), University Hospital of Schleswig-Holstein, Campus Kiel; Institute of Neuroradiology (U.J.-K.), UKSH Campus Lübeck, Germany; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M. Möhlenbruch), Heidelberg University Hospital; Department of Radiology (M. Wildgruber), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; and Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology & Nuclear Medicine, University Hospital Basel, Switzerland
| | - Daniel Kaiser
- From the Department of Neurology & Neurological Sciences, Stanford Stroke Center (S.L., M. Mlynash, S.C.), Department of Neurology & Neurological Sciences (S.L.), Division of Child Neurology, and Department of Radiology (B.J., M. Wintermark), Division of Neuroradiology, Stanford University School of Medicine, CA; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F., P.B.S.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (F.D.), University Hospital Bonn; Department of Neuroradiology (O.N.), RWTH Aachen University; Department of Neuroradiology (D.K.), University Hospital Carl Gustav Carus, Dresden, Germany; ASST Valcamonica (A.M.), UOSD Neurology, Esine (BS), Brescia, Italy; Department of Radiology and Neuroradiology (U.J.-K.), University Hospital of Schleswig-Holstein, Campus Kiel; Institute of Neuroradiology (U.J.-K.), UKSH Campus Lübeck, Germany; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M. Möhlenbruch), Heidelberg University Hospital; Department of Radiology (M. Wildgruber), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; and Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology & Nuclear Medicine, University Hospital Basel, Switzerland
| | - Andrea Morotti
- From the Department of Neurology & Neurological Sciences, Stanford Stroke Center (S.L., M. Mlynash, S.C.), Department of Neurology & Neurological Sciences (S.L.), Division of Child Neurology, and Department of Radiology (B.J., M. Wintermark), Division of Neuroradiology, Stanford University School of Medicine, CA; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F., P.B.S.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (F.D.), University Hospital Bonn; Department of Neuroradiology (O.N.), RWTH Aachen University; Department of Neuroradiology (D.K.), University Hospital Carl Gustav Carus, Dresden, Germany; ASST Valcamonica (A.M.), UOSD Neurology, Esine (BS), Brescia, Italy; Department of Radiology and Neuroradiology (U.J.-K.), University Hospital of Schleswig-Holstein, Campus Kiel; Institute of Neuroradiology (U.J.-K.), UKSH Campus Lübeck, Germany; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M. Möhlenbruch), Heidelberg University Hospital; Department of Radiology (M. Wildgruber), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; and Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology & Nuclear Medicine, University Hospital Basel, Switzerland
| | - Ulf Jensen-Kondering
- From the Department of Neurology & Neurological Sciences, Stanford Stroke Center (S.L., M. Mlynash, S.C.), Department of Neurology & Neurological Sciences (S.L.), Division of Child Neurology, and Department of Radiology (B.J., M. Wintermark), Division of Neuroradiology, Stanford University School of Medicine, CA; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F., P.B.S.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (F.D.), University Hospital Bonn; Department of Neuroradiology (O.N.), RWTH Aachen University; Department of Neuroradiology (D.K.), University Hospital Carl Gustav Carus, Dresden, Germany; ASST Valcamonica (A.M.), UOSD Neurology, Esine (BS), Brescia, Italy; Department of Radiology and Neuroradiology (U.J.-K.), University Hospital of Schleswig-Holstein, Campus Kiel; Institute of Neuroradiology (U.J.-K.), UKSH Campus Lübeck, Germany; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M. Möhlenbruch), Heidelberg University Hospital; Department of Radiology (M. Wildgruber), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; and Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology & Nuclear Medicine, University Hospital Basel, Switzerland
| | - Johannes Trenkler
- From the Department of Neurology & Neurological Sciences, Stanford Stroke Center (S.L., M. Mlynash, S.C.), Department of Neurology & Neurological Sciences (S.L.), Division of Child Neurology, and Department of Radiology (B.J., M. Wintermark), Division of Neuroradiology, Stanford University School of Medicine, CA; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F., P.B.S.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (F.D.), University Hospital Bonn; Department of Neuroradiology (O.N.), RWTH Aachen University; Department of Neuroradiology (D.K.), University Hospital Carl Gustav Carus, Dresden, Germany; ASST Valcamonica (A.M.), UOSD Neurology, Esine (BS), Brescia, Italy; Department of Radiology and Neuroradiology (U.J.-K.), University Hospital of Schleswig-Holstein, Campus Kiel; Institute of Neuroradiology (U.J.-K.), UKSH Campus Lübeck, Germany; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M. Möhlenbruch), Heidelberg University Hospital; Department of Radiology (M. Wildgruber), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; and Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology & Nuclear Medicine, University Hospital Basel, Switzerland
| | - Markus Möhlenbruch
- From the Department of Neurology & Neurological Sciences, Stanford Stroke Center (S.L., M. Mlynash, S.C.), Department of Neurology & Neurological Sciences (S.L.), Division of Child Neurology, and Department of Radiology (B.J., M. Wintermark), Division of Neuroradiology, Stanford University School of Medicine, CA; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F., P.B.S.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (F.D.), University Hospital Bonn; Department of Neuroradiology (O.N.), RWTH Aachen University; Department of Neuroradiology (D.K.), University Hospital Carl Gustav Carus, Dresden, Germany; ASST Valcamonica (A.M.), UOSD Neurology, Esine (BS), Brescia, Italy; Department of Radiology and Neuroradiology (U.J.-K.), University Hospital of Schleswig-Holstein, Campus Kiel; Institute of Neuroradiology (U.J.-K.), UKSH Campus Lübeck, Germany; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M. Möhlenbruch), Heidelberg University Hospital; Department of Radiology (M. Wildgruber), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; and Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology & Nuclear Medicine, University Hospital Basel, Switzerland
| | - Jens Fiehler
- From the Department of Neurology & Neurological Sciences, Stanford Stroke Center (S.L., M. Mlynash, S.C.), Department of Neurology & Neurological Sciences (S.L.), Division of Child Neurology, and Department of Radiology (B.J., M. Wintermark), Division of Neuroradiology, Stanford University School of Medicine, CA; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F., P.B.S.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (F.D.), University Hospital Bonn; Department of Neuroradiology (O.N.), RWTH Aachen University; Department of Neuroradiology (D.K.), University Hospital Carl Gustav Carus, Dresden, Germany; ASST Valcamonica (A.M.), UOSD Neurology, Esine (BS), Brescia, Italy; Department of Radiology and Neuroradiology (U.J.-K.), University Hospital of Schleswig-Holstein, Campus Kiel; Institute of Neuroradiology (U.J.-K.), UKSH Campus Lübeck, Germany; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M. Möhlenbruch), Heidelberg University Hospital; Department of Radiology (M. Wildgruber), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; and Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology & Nuclear Medicine, University Hospital Basel, Switzerland
| | - Moritz Wildgruber
- From the Department of Neurology & Neurological Sciences, Stanford Stroke Center (S.L., M. Mlynash, S.C.), Department of Neurology & Neurological Sciences (S.L.), Division of Child Neurology, and Department of Radiology (B.J., M. Wintermark), Division of Neuroradiology, Stanford University School of Medicine, CA; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F., P.B.S.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (F.D.), University Hospital Bonn; Department of Neuroradiology (O.N.), RWTH Aachen University; Department of Neuroradiology (D.K.), University Hospital Carl Gustav Carus, Dresden, Germany; ASST Valcamonica (A.M.), UOSD Neurology, Esine (BS), Brescia, Italy; Department of Radiology and Neuroradiology (U.J.-K.), University Hospital of Schleswig-Holstein, Campus Kiel; Institute of Neuroradiology (U.J.-K.), UKSH Campus Lübeck, Germany; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M. Möhlenbruch), Heidelberg University Hospital; Department of Radiology (M. Wildgruber), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; and Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology & Nuclear Medicine, University Hospital Basel, Switzerland
| | - André Kemmling
- From the Department of Neurology & Neurological Sciences, Stanford Stroke Center (S.L., M. Mlynash, S.C.), Department of Neurology & Neurological Sciences (S.L.), Division of Child Neurology, and Department of Radiology (B.J., M. Wintermark), Division of Neuroradiology, Stanford University School of Medicine, CA; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F., P.B.S.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (F.D.), University Hospital Bonn; Department of Neuroradiology (O.N.), RWTH Aachen University; Department of Neuroradiology (D.K.), University Hospital Carl Gustav Carus, Dresden, Germany; ASST Valcamonica (A.M.), UOSD Neurology, Esine (BS), Brescia, Italy; Department of Radiology and Neuroradiology (U.J.-K.), University Hospital of Schleswig-Holstein, Campus Kiel; Institute of Neuroradiology (U.J.-K.), UKSH Campus Lübeck, Germany; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M. Möhlenbruch), Heidelberg University Hospital; Department of Radiology (M. Wildgruber), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; and Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology & Nuclear Medicine, University Hospital Basel, Switzerland
| | - Marios Psychogios
- From the Department of Neurology & Neurological Sciences, Stanford Stroke Center (S.L., M. Mlynash, S.C.), Department of Neurology & Neurological Sciences (S.L.), Division of Child Neurology, and Department of Radiology (B.J., M. Wintermark), Division of Neuroradiology, Stanford University School of Medicine, CA; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F., P.B.S.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (F.D.), University Hospital Bonn; Department of Neuroradiology (O.N.), RWTH Aachen University; Department of Neuroradiology (D.K.), University Hospital Carl Gustav Carus, Dresden, Germany; ASST Valcamonica (A.M.), UOSD Neurology, Esine (BS), Brescia, Italy; Department of Radiology and Neuroradiology (U.J.-K.), University Hospital of Schleswig-Holstein, Campus Kiel; Institute of Neuroradiology (U.J.-K.), UKSH Campus Lübeck, Germany; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M. Möhlenbruch), Heidelberg University Hospital; Department of Radiology (M. Wildgruber), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; and Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology & Nuclear Medicine, University Hospital Basel, Switzerland
| | - Peter B Sporns
- From the Department of Neurology & Neurological Sciences, Stanford Stroke Center (S.L., M. Mlynash, S.C.), Department of Neurology & Neurological Sciences (S.L.), Division of Child Neurology, and Department of Radiology (B.J., M. Wintermark), Division of Neuroradiology, Stanford University School of Medicine, CA; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F., P.B.S.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (F.D.), University Hospital Bonn; Department of Neuroradiology (O.N.), RWTH Aachen University; Department of Neuroradiology (D.K.), University Hospital Carl Gustav Carus, Dresden, Germany; ASST Valcamonica (A.M.), UOSD Neurology, Esine (BS), Brescia, Italy; Department of Radiology and Neuroradiology (U.J.-K.), University Hospital of Schleswig-Holstein, Campus Kiel; Institute of Neuroradiology (U.J.-K.), UKSH Campus Lübeck, Germany; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M. Möhlenbruch), Heidelberg University Hospital; Department of Radiology (M. Wildgruber), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; and Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology & Nuclear Medicine, University Hospital Basel, Switzerland
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11
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Cao R, Qi P, Jiang Y, Hu S, Ye G, Zhu Y, Li L, You Z, Chen J. Preliminary Application of a Quantitative Collateral Assessment Method in Acute Ischemic Stroke Patients With Endovascular Treatments: A Single-Center Study. Front Neurol 2022; 12:714313. [PMID: 35002909 PMCID: PMC8732366 DOI: 10.3389/fneur.2021.714313] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Accepted: 11/25/2021] [Indexed: 12/18/2022] Open
Abstract
Objectives: To develop an efficient and quantitative assessment of collateral circulation on time maximum intensity projection CT angiography (tMIP CTA) in patients with acute ischemic stroke (AIS). Methods: Eighty-one AIS patients who underwent one-stop CTA-CT perfusion (CTP) from February 2016 to October 2020 were retrospectively reviewed. Single-phase CTA (sCTA) and tMIP CTA were developed from CTP data. Ischemic core (IC) volume, ischemic penumbra volume, and mismatch ratio were calculated. The Tan scale was used for the qualitative evaluation of collateral based on sCTA and tMIP CTA. Quantitative collateral circulation (CCq) parameters were calculated semi-automatically with software by the ratio of the vascular volume (V) on both hemispheres, including tMIP CTA VCCq and sCTA VCCq. Spearman correlation analysis was used to analyze the correlation of collateral-related parameters with final infarct volume (FIV). ROC and multivariable regression analysis were calculated to compare the significance of the above parameters in clinical outcome evaluation. The analysis time of the observers was also compared. Results: tMIP CTA VCCq (r = 0.61, p < 0.01), IC volume (r = 0.66, p < 0.01), Tan score on tMIP CTA (r = 0.52, p < 0.01) and mismatch ratio (r = 0.60, p < 0.01) showed moderate negative correlations with FIV. tMIP CTA VCCq showed the best prognostic value for clinical outcome (AUC = 0.93, p < 0.001), and was an independent predictive factor of clinical outcome (OR = 0.14, p = 0.009). There was no difference in analysis time of tMIP CTA VCCq among observers (p = 0.079). Conclusion: The quantitative evaluation of collateral circulation on tMIP CTA is associated with clinical outcomes in AIS patients with endovascular treatments.
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Affiliation(s)
- Ruoyao Cao
- Graduate School of Peking Union Medical College, Beijing, China.,Department of Radiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Peng Qi
- Department of Neurosurgery, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Yun Jiang
- Department of Neurology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Shen Hu
- Department of Neurosurgery, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Gengfan Ye
- Department of Neurosurgery, Ningbo Medical Center Lihuili Hospital, Ningbo, China
| | - Yaxin Zhu
- CT Clinical Research Department, CT Business Unit, Canon Medical Systems (China) Co., Ltd., Beijing, China
| | - Ling Li
- Department of Radiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.,Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Zilong You
- Department of Radiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Juan Chen
- Department of Radiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
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12
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van Horn N, Heit JJ, Kabiri R, Broocks G, Christensen S, Mlynash M, Meyer L, Schoenfeld MH, Lansberg MG, Albers GW, Fiehler J, Wintermark M, Faizy TD. Venous outflow profiles are associated with early edema progression in ischemic stroke. Int J Stroke 2022; 17:1078-1084. [PMID: 34983276 DOI: 10.1177/17474930211065635] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
BACKGROUND In patients with acute ischemic stroke due to large vessel occlusion (AIS-LVO), development of extensive early ischemic brain edema is associated with poor functional outcomes, despite timely treatment. Robust cortical venous outflow (VO) profiles correlate with favorable tissue perfusion. We hypothesized that favorable VO profiles (VO+) correlate with a reduced early edema progression rate (EPR) and good functional outcomes. METHODS Multicenter, retrospective analysis to investigate AIS-LVO patients treated by mechanical thrombectomy between May 2013 and December 2020. Baseline computed tomography angiography (CTA) was used to determine VO using the cortical vein opacification score (COVES); VO+ was defined as COVES ⩾ 3 and unfavorable as COVES ⩽ 2. EPR was determined as the ratio of net water uptake (NWU) on baseline non-contrast CT and time from symptom onset to admission imaging. Multivariable regression analysis was performed to assess primary (EPR) and secondary outcome (good functional outcomes defined as 0-2 points on the modified Rankin scale). RESULTS A total of 728 patients were included. Primary outcome analysis showed VO+ (β: -0.03, SE: 0.009, p = 0.002), lower presentation National Institutes of Health Stroke Scale (NIHSS; β: 0.002, SE: 0.001, p = 0.002), and decreased time from onset to admission imaging (β: -0.00002, SE: 0.00004, p < 0.001) were independently associated with reduced EPR. VO+ also predicted good functional outcomes (odds ratio (OR): 5.07, 95% CI: 2.839-9.039, p < 0.001), while controlling for presentation NIHSS, time from onset to imaging, general vessel reperfusion, baseline Alberta Stroke Program Early CT Score, infarct core volume, EPR, and favorable arterial collaterals. CONCLUSIONS Favorable VO profiles were associated with slower infarct edema progression and good long-term functional outcomes as well as better neurological status and ischemic brain alterations at admission.
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Affiliation(s)
- Noel van Horn
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jeremy J Heit
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Reza Kabiri
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Gabriel Broocks
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Soren Christensen
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Michael Mlynash
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Lukas Meyer
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | | | - Maarten G Lansberg
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Gregory W Albers
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Jens Fiehler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Max Wintermark
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Tobias D Faizy
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.,Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
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13
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Huang ZX, Li YK, Li SZ, Huang XJ, Chen Y, Hong QL, Cai QK, Han YF. A Dynamic Nomogram for 3-Month Prognosis for Acute Ischemic Stroke Patients After Endovascular Therapy: A Pooled Analysis in Southern China. Front Aging Neurosci 2021; 13:796434. [PMID: 34966271 PMCID: PMC8710662 DOI: 10.3389/fnagi.2021.796434] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2021] [Accepted: 11/22/2021] [Indexed: 11/13/2022] Open
Abstract
Cerebral edema (CDE) is a common complication in patients with acute ischemic stroke (AIS) and can reduce the benefit of endovascular therapy (EVT). To determine whether certain risk factors are associated with a poor prognosis mediated by CDE after EVT. The 759 patients with anterior circulation stroke treated by EVT at three comprehensive stroke centers in China from January 2014 to October 2020 were analyzed. Patients underwent follow-up for 3 months after inclusion. The primary endpoint was a measure of a poor prognosis (modified Rankin Scale score ≥ 3) at 3 months assessed in all patients receiving EVT. Least absolute shrinkage and selection operator and multivariate logistic regression were used to select variables for the prognostic nomogram. Based on these variables, the nomogram was established and validated. In addition, structural equation modeling was used to explore the pathways linking CDE and a poor prognosis. Seven predictors were identified, namely, diabetes, age, baseline Alberta Stroke Program Early CT score, modified Thrombolysis in Cerebral Infarction score, early angiogenic CDE, National Institutes of Health Stroke Scale score, and collateral circulation. The nomogram consisting of these variables showed the best performance, with a large area under the curve in both the internal validation set (0.850; sensitivity, 0.737; specificity, 0.887) and external validation set (0.875; sensitivity, 0.752; specificity, 0.878). In addition, CDE (total path coefficient = 0.24, P < 0.001) served as a significant moderator. A nomogram for predicting a poor prognosis after EVT in AIS patients was established and validated with CDE as a moderator.
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Affiliation(s)
- Zhi-Xin Huang
- Department of Neurology, Guangdong Second Provincial General Hospital, Guangzhou, China.,Department of Neurology, The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.,The School of Medicine, Jinan University, Guangzhou, China
| | - Yong-Kun Li
- Department of Neurology, Fujian Provincial Hospital, Shengli Clinical College of Fujian Medical University, Fuzhou, China.,Department of Neurology, Xiamen Key Laboratory of Brain Center, The First Affiliated Hospital of Xiamen University, Xiamen, China
| | - Shi-Zhan Li
- Department of Neurology, The No. 1 People's Hospital of Yulin, Yulin, China
| | - Xian-Jun Huang
- Department of Neurology, Yijishan Hospital of Wannan Medical College, Wuhu, China
| | - Ying Chen
- Department of Neurology, Xiamen Key Laboratory of Brain Center, The First Affiliated Hospital of Xiamen University, Xiamen, China
| | - Quan-Long Hong
- Department of Neurology, The First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, China
| | - Qian-Kun Cai
- Department of Neurology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Yun-Fei Han
- Department of Neurology, Medical School of Nanjing University, Jinling Hospital, Nanjing, China
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14
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Wang N, Chen Z, Zhang S, Liu Z, Xie P, Li J, Wang J, Chen L, Wang L. Leptomeningeal collateral flow in patients with middle cerebral artery occlusion assessed by transcranial Doppler. J Neuroimaging 2021; 32:179-186. [PMID: 34648213 DOI: 10.1111/jon.12937] [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] [Received: 06/30/2021] [Revised: 09/23/2021] [Accepted: 09/23/2021] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND AND PURPOSE To explore the application value and clinical significance of transcranial Doppler(TCD)in assessing leptomeningeal collateral flow (LMF) status in patients with unilateral middle cerebral artery (MCA) occlusion. METHODS Medical records of patients with unilateral MCA occlusion confirmed by digital subtraction angiography (DSA) were analyzed retrospectively. The patients were divided into three groups according to LMF status, and the laboratory and imaging results were collected. Cerebral blood flow velocity (CBFV) of MCA, anterior cerebral artery (ACA), and posterior cerebral artery (PCA) on the affected side (ipsilateral, i) and the healthy side (contralateral, c) were measured and recorded by TCD. The results of CBFV changes detected by TCD were compared with those of DSA, and the correlation between CBFV changes and LMF status was analyzed. RESULTS Eighty-four patients with unilateral MCA occlusion were included. CBFViACA and CBFViPCA were significantly faster than CBFVcACA and CBFVcPCA in patients with good LMF status (p<.05). There was a significant positive correlation between CBFViACA and LMF status (r = 0.697, p<.001). There was statistical significance in receiver operating characteristic curve analysis of CBFViACA and CBFViPCA (p<.05). The area under the curve of CBFViACA and CBFViPCA, respectively, was 0.879 and 0.678, and the best cutoff value was 82 and 60.5 cm/s. CONCLUSIONS TCD can assess LMF status by detecting the changes of flow velocity of intracranial vessels. CBFV of ACA and PCA in patients with MCA occlusion is significantly correlated with LMF status by DSA. Assessing LMF status, CBFViACA, CBFViACA/CBFVcACA, and CBFViACA/CBFViMCA has the great diagnostic value, which is of great significance in guiding MCA occlusion patients to choose individualized treatment.
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Affiliation(s)
- Na Wang
- Department of Neurology, Second Affiliated Hospital of Harbin Medical University, Harbin, P. R. China
| | - Zhimin Chen
- Department of Neurology, Harbin City Second Hospital, Harbin, P. R. China
| | - Shuai Zhang
- Department of Neurology, Second Affiliated Hospital of Harbin Medical University, Harbin, P. R. China
| | - Zhongshuang Liu
- Department of Stomatology, Shenzhen University General Hospital, Shenzhen, P. R. China
| | - Peng Xie
- Department of Neurosurgery, Second Affiliated Hospital of Harbin Medical University, Harbin, P. R. China
| | - Jie Li
- Department of Neurology, Second Affiliated Hospital of Harbin Medical University, Harbin, P. R. China
| | - Jingyan Wang
- Department of Information Center, Second Affiliated Hospital of Harbin Medical University, Harbin, P. R. China
| | - Lixia Chen
- Department of Neurology, Second Affiliated Hospital of Harbin Medical University, Harbin, P. R. China
| | - Lihua Wang
- Department of Neurology, Second Affiliated Hospital of Harbin Medical University, Harbin, P. R. China
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15
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Faizy TD, Kabiri R, Christensen S, Mlynash M, Kuraitis G, Broocks G, Hanning U, Nawabi J, Lansberg MG, Marks MP, Albers GW, Fiehler J, Wintermark M, Heit JJ. Perfusion imaging-based tissue-level collaterals predict ischemic lesion net water uptake in patients with acute ischemic stroke and large vessel occlusion. J Cereb Blood Flow Metab 2021; 41:2067-2075. [PMID: 33557694 PMCID: PMC8327120 DOI: 10.1177/0271678x21992200] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Ischemic lesion Net Water Uptake (NWU) quantifies cerebral edema formation and likely correlates with the microvascular perfusion status of patients with acute ischemic stroke due to large vessel occlusion (AIS-LVO). We hypothesized that favorable tissue-level collaterals (TLC) predict less NWU and good functional outcomes. We performed a retrospective multicenter analysis of AIS-LVO patients who underwent thrombectomy triage. TLC were measured on cerebral perfusion studies using the hypoperfusion intensity ratio (HIR; volume ratio of brain tissue with [Tmax > 10 sec/Tmax > 6 sec]); favorable TLC were regarded as HIR ≤ 0.4. NWU was determined using a quantitative densitometry approach on follow-up CT. Primary outcome was NWU. Secondary outcome was a good functional outcome (modified Rankin Scale [mRS] 0-2).580 patients met inclusion criteria. Favorable TLC (β: 4.23, SE: 0.65; p < 0.001) predicted smaller NWU after treatment. Favorable TLC (OR: 2.35, [95% CI: 1.31-4.21]; p < 0.001), and decreased NWU (OR: 0.75, [95% CI: 0.70-0.79]; p < 0.001) predicted good functional outcome, while controlling for age, glucose, CTA collaterals, baseline NIHSS and good vessel reperfusion status.We conclude that favorable TLC predict less ischemic lesion NWU after treatment in AIS-LVO patients. Favorable TLC and decreased NWU were independent predictors of good functional outcome.
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Affiliation(s)
- Tobias D Faizy
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Reza Kabiri
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Soren Christensen
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Michael Mlynash
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Gabriella Kuraitis
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Gabriel Broocks
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Uta Hanning
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jawed Nawabi
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.,Department of Radiology (CCM), Charité, Universitätsmedizin Berlin, Campus Mitte, Humboldt-Universität zu Berlin, Freie Universität Berlin, Berlin, Germany
| | - Maarten G Lansberg
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Michael P Marks
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Gregory W Albers
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Jens Fiehler
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Max Wintermark
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Jeremy J Heit
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
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16
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Faizy TD, Kabiri R, Christensen S, Mlynash M, Kuraitis G, Meyer L, Marks MP, Broocks G, Flottmann F, Lansberg MG, Albers GW, Fiehler J, Wintermark M, Heit JJ. Venous Outflow Profiles Are Linked to Cerebral Edema Formation at Noncontrast Head CT after Treatment in Acute Ischemic Stroke Regardless of Collateral Vessel Status at CT Angiography. Radiology 2021; 299:682-690. [PMID: 33825511 DOI: 10.1148/radiol.2021203651] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Background Ischemic lesion net water uptake (NWU) at noncontrast head CT enables quantification of cerebral edema in patients with acute ischemic stroke (AIS) due to large vessel occlusion (LVO). Purpose To assess whether favorable venous outflow (VO) profiles at CT angiography are associated with reduced NWU and good functional outcomes in patients with AIS due to LVO. Materials and Methods This multicenter retrospective cohort study evaluated consecutive patients with AIS due to LVO who underwent thrombectomy triage between January 2013 and December 2019. Arterial collateral vessel status (Tan scale) and venous output were measured at CT angiography. Venous outflow was graded with use of the cortical vein opacification score, which quantifies opacification of the vein of Labbé, sphenoparietal sinus, and superficial middle cerebral vein. Favorable VO was regarded as a score of 3-6 and unfavorable VO as a score of 0-2. NWU was determined at follow-up noncontrast CT. Multivariable regression analyses were performed to determine the association between favorable VO profiles and NWU after treatment and good functional outcome (modified Rankin Scale, ≤2). Results A total of 580 patients were included. Of the 580 patients, 231 had favorable VO (104 women; median age, 73 years [interquartile range {IQR}, 62-81 years]) and 349 had unfavorable VO (190 women; median age, 77 years [IQR, 66-84 years]). Compared with patients with unfavorable VO, those with favorable VO exhibited lower baseline National Institutes of Health Stroke Scale score (median, 12.5 [IQR, 7-17] vs 17 [IQR, 13-21]), higher Alberta Stroke Program Early CT Score (median, 9 [IQR, 7-10] vs 7 [IQR, 6-8]), and less NWU after treatment (median, 7% [IQR, 4.6%-11.5%] vs 17.9% [IQR, 12.3%-22.2%]). In a multivariable regression analysis, NWU mean difference between patients with unfavorable VO and those with favorable VO was 6.1% (95% CI: 4.9, 7.3; P < .001) regardless of arterial CT angiography collateral vessel status (b coefficient, 0.72 [95% CI: -0.59, 2.03; P = .28]). Favorable VO (odds ratio [OR]: 4.1 [95% CI: 2.2, 7.7]; P < .001) and reduced NWU after treatment (OR: 0.77 [95% CI: 0.73, 0.83]; P < .001) were independently associated with good functional outcomes. Conclusion Favorable venous outflow (VO) correlated with reduced ischemic net water uptake (NWU) after treatment. Reduced NWU and favorable VO were associated with good functional outcomes regardless of CT angiography arterial collateral vessel status. © RSNA, 2021 Online supplemental material is available for this article.
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Affiliation(s)
- Tobias D Faizy
- From the Department of Radiology (T.D.F., R.K., G.K., M.P.M., M.W., J.J.H.) and Department of Neurology and Neurological Sciences (S.C., M.M., M.G.L., G.W.A.), Stanford University School of Medicine, 300 Pasteur Dr, Room S047, Stanford, CA 94305; and Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (L.M., G.B., F.F., J.F.)
| | - Reza Kabiri
- From the Department of Radiology (T.D.F., R.K., G.K., M.P.M., M.W., J.J.H.) and Department of Neurology and Neurological Sciences (S.C., M.M., M.G.L., G.W.A.), Stanford University School of Medicine, 300 Pasteur Dr, Room S047, Stanford, CA 94305; and Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (L.M., G.B., F.F., J.F.)
| | - Soren Christensen
- From the Department of Radiology (T.D.F., R.K., G.K., M.P.M., M.W., J.J.H.) and Department of Neurology and Neurological Sciences (S.C., M.M., M.G.L., G.W.A.), Stanford University School of Medicine, 300 Pasteur Dr, Room S047, Stanford, CA 94305; and Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (L.M., G.B., F.F., J.F.)
| | - Michael Mlynash
- From the Department of Radiology (T.D.F., R.K., G.K., M.P.M., M.W., J.J.H.) and Department of Neurology and Neurological Sciences (S.C., M.M., M.G.L., G.W.A.), Stanford University School of Medicine, 300 Pasteur Dr, Room S047, Stanford, CA 94305; and Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (L.M., G.B., F.F., J.F.)
| | - Gabriella Kuraitis
- From the Department of Radiology (T.D.F., R.K., G.K., M.P.M., M.W., J.J.H.) and Department of Neurology and Neurological Sciences (S.C., M.M., M.G.L., G.W.A.), Stanford University School of Medicine, 300 Pasteur Dr, Room S047, Stanford, CA 94305; and Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (L.M., G.B., F.F., J.F.)
| | - Lukas Meyer
- From the Department of Radiology (T.D.F., R.K., G.K., M.P.M., M.W., J.J.H.) and Department of Neurology and Neurological Sciences (S.C., M.M., M.G.L., G.W.A.), Stanford University School of Medicine, 300 Pasteur Dr, Room S047, Stanford, CA 94305; and Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (L.M., G.B., F.F., J.F.)
| | - Michael P Marks
- From the Department of Radiology (T.D.F., R.K., G.K., M.P.M., M.W., J.J.H.) and Department of Neurology and Neurological Sciences (S.C., M.M., M.G.L., G.W.A.), Stanford University School of Medicine, 300 Pasteur Dr, Room S047, Stanford, CA 94305; and Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (L.M., G.B., F.F., J.F.)
| | - Gabriel Broocks
- From the Department of Radiology (T.D.F., R.K., G.K., M.P.M., M.W., J.J.H.) and Department of Neurology and Neurological Sciences (S.C., M.M., M.G.L., G.W.A.), Stanford University School of Medicine, 300 Pasteur Dr, Room S047, Stanford, CA 94305; and Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (L.M., G.B., F.F., J.F.)
| | - Fabian Flottmann
- From the Department of Radiology (T.D.F., R.K., G.K., M.P.M., M.W., J.J.H.) and Department of Neurology and Neurological Sciences (S.C., M.M., M.G.L., G.W.A.), Stanford University School of Medicine, 300 Pasteur Dr, Room S047, Stanford, CA 94305; and Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (L.M., G.B., F.F., J.F.)
| | - Maarten G Lansberg
- From the Department of Radiology (T.D.F., R.K., G.K., M.P.M., M.W., J.J.H.) and Department of Neurology and Neurological Sciences (S.C., M.M., M.G.L., G.W.A.), Stanford University School of Medicine, 300 Pasteur Dr, Room S047, Stanford, CA 94305; and Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (L.M., G.B., F.F., J.F.)
| | - Gregory W Albers
- From the Department of Radiology (T.D.F., R.K., G.K., M.P.M., M.W., J.J.H.) and Department of Neurology and Neurological Sciences (S.C., M.M., M.G.L., G.W.A.), Stanford University School of Medicine, 300 Pasteur Dr, Room S047, Stanford, CA 94305; and Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (L.M., G.B., F.F., J.F.)
| | - Jens Fiehler
- From the Department of Radiology (T.D.F., R.K., G.K., M.P.M., M.W., J.J.H.) and Department of Neurology and Neurological Sciences (S.C., M.M., M.G.L., G.W.A.), Stanford University School of Medicine, 300 Pasteur Dr, Room S047, Stanford, CA 94305; and Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (L.M., G.B., F.F., J.F.)
| | - Max Wintermark
- From the Department of Radiology (T.D.F., R.K., G.K., M.P.M., M.W., J.J.H.) and Department of Neurology and Neurological Sciences (S.C., M.M., M.G.L., G.W.A.), Stanford University School of Medicine, 300 Pasteur Dr, Room S047, Stanford, CA 94305; and Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (L.M., G.B., F.F., J.F.)
| | - Jeremy J Heit
- From the Department of Radiology (T.D.F., R.K., G.K., M.P.M., M.W., J.J.H.) and Department of Neurology and Neurological Sciences (S.C., M.M., M.G.L., G.W.A.), Stanford University School of Medicine, 300 Pasteur Dr, Room S047, Stanford, CA 94305; and Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (L.M., G.B., F.F., J.F.)
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17
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Bernardo-Castro S, Sousa JA, Brás A, Cecília C, Rodrigues B, Almendra L, Machado C, Santo G, Silva F, Ferreira L, Santana I, Sargento-Freitas J. Pathophysiology of Blood-Brain Barrier Permeability Throughout the Different Stages of Ischemic Stroke and Its Implication on Hemorrhagic Transformation and Recovery. Front Neurol 2020; 11:594672. [PMID: 33362697 PMCID: PMC7756029 DOI: 10.3389/fneur.2020.594672] [Citation(s) in RCA: 179] [Impact Index Per Article: 44.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Accepted: 11/09/2020] [Indexed: 12/25/2022] Open
Abstract
The blood–brain barrier (BBB) is a dynamic interface responsible for maintaining the central nervous system homeostasis. Its unique characteristics allow protecting the brain from unwanted compounds, but its impairment is involved in a vast number of pathological conditions. Disruption of the BBB and increase in its permeability are key in the development of several neurological diseases and have been extensively studied in stroke. Ischemic stroke is the most prevalent type of stroke and is characterized by a myriad of pathological events triggered by an arterial occlusion that can eventually lead to fatal outcomes such as hemorrhagic transformation (HT). BBB permeability seems to follow a multiphasic pattern throughout the different stroke stages that have been associated with distinct biological substrates. In the hyperacute stage, sudden hypoxia damages the BBB, leading to cytotoxic edema and increased permeability; in the acute stage, the neuroinflammatory response aggravates the BBB injury, leading to higher permeability and a consequent risk of HT that can be motivated by reperfusion therapy; in the subacute stage (1–3 weeks), repair mechanisms take place, especially neoangiogenesis. Immature vessels show leaky BBB, but this permeability has been associated with improved clinical recovery. In the chronic stage (>6 weeks), an increase of BBB restoration factors leads the barrier to start decreasing its permeability. Nonetheless, permeability will persist to some degree several weeks after injury. Understanding the mechanisms behind BBB dysregulation and HT pathophysiology could potentially help guide acute stroke care decisions and the development of new therapeutic targets; however, effective translation into clinical practice is still lacking. In this review, we will address the different pathological and physiological repair mechanisms involved in BBB permeability through the different stages of ischemic stroke and their role in the development of HT and stroke recovery.
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Affiliation(s)
| | - João André Sousa
- Stroke Unit, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
| | - Ana Brás
- Stroke Unit, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
| | - Carla Cecília
- Stroke Unit, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
| | - Bruno Rodrigues
- Stroke Unit, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
| | - Luciano Almendra
- Stroke Unit, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
| | - Cristina Machado
- Stroke Unit, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
| | - Gustavo Santo
- Stroke Unit, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
| | - Fernando Silva
- Stroke Unit, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
| | - Lino Ferreira
- Faculdade de Medicina da Universidade de Coimbra, Coimbra, Portugal
| | - Isabel Santana
- Stroke Unit, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal.,Faculdade de Medicina da Universidade de Coimbra, Coimbra, Portugal
| | - João Sargento-Freitas
- Stroke Unit, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal.,Faculdade de Medicina da Universidade de Coimbra, Coimbra, Portugal
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18
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Broocks G, Fiehler J, Kemmling A. Collateral scoring in acute stroke patients with low ASPECTS: an unnecessary or underestimated tool for treatment selection? Brain 2020; 142:e36. [PMID: 31209466 DOI: 10.1093/brain/awz159] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- Gabriel Broocks
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jens Fiehler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Andre Kemmling
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.,Department of Neurology, University Hospital Münster, Münster
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19
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Tang R, Zhang Q, Chen Y, Liu S, Haacke EM, Chang BG, Xia S. Strategically acquired gradient echo (STAGE)-derived MR angiography might be a superior alternative method to time-of-flight MR angiography in visualization of leptomeningeal collaterals. Eur Radiol 2020; 30:5110-5119. [PMID: 32307565 DOI: 10.1007/s00330-020-06840-7] [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] [Received: 11/27/2019] [Revised: 02/28/2020] [Accepted: 03/25/2020] [Indexed: 12/23/2022]
Abstract
OBJECTIVES This study aimed to compare the performance of strategically acquired gradient echo (STAGE)-derived MR angiography and time-of-flight MR angiography (TOF-MRA) in visualization of leptomeningeal collaterals (LMCs). METHODS Between May 2018 and January 2020, 75 participants (47 healthy volunteers and 28 intracranial atherosclerotic disease [ICAD] patients) undergoing TOF-MRA and STAGE-MRA were prospectively included. Image quality was scored at the internal carotid artery (ICA) terminus, proximal middle cerebral artery (MCA), and LMCs. Quantitative analysis included calculation of contrast-to-noise ratios (CNRs) in the M1-4 segments and number of LMCs counted in the line signal intensity profiles. Comparisons of image qualitative scores, CNRs, and number of LMCs were calculated using the Wilcoxon rank-sum test. RESULTS Image qualitative scores were significantly higher in STAGE-MRA than in TOF-MRA for the ICA terminus, proximal MCA, and LMCs (ps < 0.05) in 75 participants. When referred to digital subtraction angiography (DSA) in 25 ICAD patients, STAGE-MRA showed higher qualitative scores only at LMCs. CNRs in the M1-4 segments were significantly higher in STAGE-MRA than in TOF-MRA (218.7 ± 90.7 vs 176.2 ± 72.6, 195.7 ± 86.0 vs 146.6 ± 71.7, 176.4 ± 71.6 vs 125.8 ± 61.1, 126.2 ± 62.9 vs 78.8 ± 43.6; all ps < 0.001). STAGE-MRA showed more LMCs (11.4 ± 3.4) than TOF-MRA (8.4 ± 3.3) with p < 0.05. CONCLUSIONS STAGE-MRA might be superior to TOF-MRA in qualitative and quantitative assessment of LMCs in both healthy volunteers and ICAD patients; thus, it may serve as an alternative method in evaluating LMC. KEY POINTS • Strategically acquired gradient echo (STAGE)-derived magnetic resonance angiography is a newly developed sequence with a pair of rephasing/dephasing gradient echoes. • STAGE-MRA enables higher image qualitative score, improves contrast-to-noise ratio, and shows greater number of leptomeningeal collaterals (LMCs) in healthy volunteers and patients with intracranial atherosclerotic disease. • LMC visualization by STAGE-MRA shows good to excellent inter-observer agreement.
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Affiliation(s)
- Ruowei Tang
- Department of Radiology, Tianjin First Central Hospital, 24 Fukang Road, Nankai District, Tianjin, 300192, China.,Department of Radiology, Beijing Friendship Hospital, Capital Medical University, 95 Yong'an Road, Xicheng District, Beijing, 100050, China
| | - Qingqing Zhang
- Department of Radiology, Tianjin First Central Hospital, 24 Fukang Road, Nankai District, Tianjin, 300192, China.,Department of Radiology, First Central Clinical College, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, China
| | - Yongsheng Chen
- Department of Neurology, Wayne State University School of Medicine, 4201 St Antoine, Detroit, MI, 48201, USA
| | - Song Liu
- Department of Radiology, Tianjin First Central Hospital, 24 Fukang Road, Nankai District, Tianjin, 300192, China.,Department of Radiology, First Central Clinical College, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, China
| | - Ewart Mark Haacke
- Department of Radiology, Wayne State University School of Medicine, 4201 St Antoine, Detroit, MI, 48201, USA
| | - Bin-Ge Chang
- Department of Neurosurgery, Tianjin First Central Hospital, 24 Fukang Road, Nankai District, Tianjin, 300192, China
| | - Shuang Xia
- Department of Radiology, Tianjin First Central Hospital, 24 Fukang Road, Nankai District, Tianjin, 300192, China.
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20
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Christoforidis GA, Saadat N, Kontzialis M, Karakasis CJ, Slivka AP. Predictors for the extent of pial collateral recruitment in acute ischemic stroke. Neuroradiol J 2020; 33:98-104. [PMID: 31896284 DOI: 10.1177/1971400919897389] [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] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Pial arterioles can provide a variable degree of collateral flow to ischemic vascular territories during acute ischemic stroke. This study sought to identify predictive factors of the degree of pial collateral recruitment in acute ischemic stroke. METHODS Clinical information and arteriograms from 62 consecutive patients with stroke due to either middle cerebral artery (MCA) M1 segment or internal carotid artery (ICA) terminus occlusion within 6 h following symptom onset were retrospectively reviewed. Pial collaterals were defined based on the extent of reconstitution of the MCA territory. Patients with slow antegrade flow distal to the occlusion site were excluded and no anesthetics were used prior or during angiography. Results were analyzed using multivariate nominal logistic regression. RESULTS Better pial collateral recruitment was associated with proximal MCA versus ICA terminus occlusion (p = 0.005; odds ratio (OR) = 9.3; 95% confidence interval (CI), 2.16-53.3), lower presenting National Institutes of Health Stroke Scale Score (NIHSSS) (p = 0.023; OR = 6.51; 95% CI, 1.49-41.7), and lower diastolic blood pressure (p = 0.0411; OR = 5.05; 95% CI, 1.20-29.2). Age, gender, symptom duration, diabetes, laterality, systolic blood pressure, glucose level, hematocrit, platelet level, and white blood cell count at presentation were not found to have a statistically significant association with pial collateral recruitment. CONCLUSIONS Extent of pial collateral recruitment is strongly associated with the occlusion site (MCA M1 segment versus ICA terminus) and less strongly associated with presenting NIHSSS and diastolic blood pressure.
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21
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Guo F, Xu D, Lin Y, Wang G, Wang F, Gao Q, Wei Q, Lei S. Chemokine CCL2 contributes to BBB disruption via the p38 MAPK signaling pathway following acute intracerebral hemorrhage. FASEB J 2019; 34:1872-1884. [PMID: 31914700 DOI: 10.1096/fj.201902203rr] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Revised: 11/22/2019] [Accepted: 11/27/2019] [Indexed: 12/23/2022]
Affiliation(s)
- Fuyou Guo
- Department of Neurosurgery the First Affiliated Hospital of Zhengzhou University Zhengzhou PR China
| | - Dingkang Xu
- Department of Neurosurgery the First Affiliated Hospital of Zhengzhou University Zhengzhou PR China
| | - Yazhou Lin
- Department of Human Anatomy, School of Basic Medical Sciences Zhengzhou University Zhengzhou PR China
| | - Guoqing Wang
- Department of Neurosurgery the First Affiliated Hospital of Zhengzhou University Zhengzhou PR China
| | - Fang Wang
- Department of Neurosurgery the First Affiliated Hospital of Zhengzhou University Zhengzhou PR China
| | - Qiang Gao
- Department of Neurosurgery the First Affiliated Hospital of Zhengzhou University Zhengzhou PR China
| | - Qingjie Wei
- Department of Neurosurgery the First Affiliated Hospital of Zhengzhou University Zhengzhou PR China
| | - Shixiong Lei
- Department of Neurosurgery the First Affiliated Hospital of Zhengzhou University Zhengzhou PR China
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22
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Broocks G, Kemmling A, Meyer L, Nawabi J, Schön G, Fiehler J, Kniep H, Hanning U. Computed Tomography Angiography Collateral Profile Is Directly Linked to Early Edema Progression Rate in Acute Ischemic Stroke. Stroke 2019; 50:3424-3430. [DOI: 10.1161/strokeaha.119.027062] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background and Purpose—
Poor collateral flow is associated with poor clinical outcome in acute ischemic stroke and may indicate futile recanalization after successful thrombectomy. Pronounced early formation of cerebral ischemic edema may be the link between poor collateral status and declined functional outcome, but this relationship has not been investigated yet. We hypothesized that collateral status is associated with early lesion water uptake as quantitative marker for edema progression.
Methods—
One hundred seventy-six patients with middle cerebral artery stroke who underwent mechanical thrombectomy were analyzed. Status of cerebral collateral circulation (collaterals status [CS]) was derived using an established 5-point scoring system in admission computed tomography angiography, and good collaterals were defined as CS 3 to 4. Ischemic brain edema dynamics were quantified using early edema progression rate (EPR). EPR was derived from quantitative lesion water uptake in admission computed tomography divided by time from symptom onset to imaging. Good clinical outcome was defined as modified Rankin Scale score 0 to 2 after 90 days.
Results—
The median EPR was 1.4% per hour (interquartile range, 0.5–3.5%) in patients with good collaterals, which was lower than the median EPR in patients with poor collaterals of 5.8% per hour (interquartile range, 2.1–5.9%;
P
<0.0001). In multivariable regression analysis, lower CS was significantly and independently associated with higher EPR (1.6% EPR per 1-point CS;
P
=0.002). A higher EPR was associated with reduced likelihood of good clinical outcome: odds ratio 0.87; (95% CI, 0.76–0.99;
P
=0.03).
Conclusions—
Patients with poor CS had significantly higher EPR, which was associated with worse clinical outcome. These patients might benefit from adjuvant antiedematous treatment.
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Affiliation(s)
- Gabriel Broocks
- From the Department of Diagnostic and Interventional Neuroradiology (G.B., L.M., J.N., J.F., H.K., U.H.), University Medical Center Hamburg-Eppendorf, Hamburg
- Institute of Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf, Hamburg
| | - Andre Kemmling
- Department of Neuroradiology, Westpfalz-Klinikum, Kaiserslautern, Germany (A.K.)
- Faculty of Medicine Mannheim, University of Heidelberg, Germany (A.K.)
| | - Lukas Meyer
- From the Department of Diagnostic and Interventional Neuroradiology (G.B., L.M., J.N., J.F., H.K., U.H.), University Medical Center Hamburg-Eppendorf, Hamburg
| | - Jawed Nawabi
- From the Department of Diagnostic and Interventional Neuroradiology (G.B., L.M., J.N., J.F., H.K., U.H.), University Medical Center Hamburg-Eppendorf, Hamburg
| | - Gerhard Schön
- Institute of Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf, Hamburg
| | - Jens Fiehler
- From the Department of Diagnostic and Interventional Neuroradiology (G.B., L.M., J.N., J.F., H.K., U.H.), University Medical Center Hamburg-Eppendorf, Hamburg
| | - Helge Kniep
- From the Department of Diagnostic and Interventional Neuroradiology (G.B., L.M., J.N., J.F., H.K., U.H.), University Medical Center Hamburg-Eppendorf, Hamburg
| | - Uta Hanning
- From the Department of Diagnostic and Interventional Neuroradiology (G.B., L.M., J.N., J.F., H.K., U.H.), University Medical Center Hamburg-Eppendorf, Hamburg
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23
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Broocks G, Kniep H, Schramm P, Hanning U, Flottmann F, Faizy T, Schönfeld M, Meyer L, Schön G, Aulmann L, Machner B, Royl G, Fiehler J, Kemmling A. Patients with low Alberta Stroke Program Early CT Score (ASPECTS) but good collaterals benefit from endovascular recanalization. J Neurointerv Surg 2019; 12:747-752. [DOI: 10.1136/neurintsurg-2019-015308] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2019] [Revised: 10/17/2019] [Accepted: 10/29/2019] [Indexed: 11/04/2022]
Abstract
BackgroundBenefit of thrombectomy in patients with a low initial Alberta Stroke Program Early CT Score (ASPECTS) is still uncertain. We hypothesized that, despite low ASPECTS, patients may benefit from endovascular recanalization if good collaterals are present.MethodsIschemic stroke patients with large vessel occlusion in the anterior circulation and an ASPECTS of ≤5 were analyzed. Collateral status (CS) was assessed using a 5-point-scoring system in CT angiography with poor CS defined as CS=0–1. Clinical outcome was determined using the modified Rankin Scale (mRS) score after 90 days. Edema formation was measured in admission and follow-up CT by net water uptake.Results27/100 (27%) patients exhibited a CS of 2–4. 50 patients underwent successful vessel recanalization and 50 patients had a persistent vessel occlusion. In multivariable logistic regression analysis, collateral status (OR 3.0; p=0.003) and vessel recanalization (OR 12.2; p=0.009) significantly increased the likelihood of a good outcome (mRS 0–3). A 1-point increase in CS was associated with 1.9% (95% CI 0.2% to 3.7%) lowered lesion water uptake in follow-up CT .ConclusionEndovascular recanalization in patients with ASPECTS of ≤5 but good collaterals was linked to improved clinical outcome and attenuated edema formation. Collateral status may serve as selection criterion for thrombectomy in low ASPECTS patients.
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24
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Broocks G, Kemmling A, Aberle J, Kniep H, Bechstein M, Flottmann F, Leischner H, Faizy TD, Nawabi J, Schön G, Sporns P, Thomalla G, Fiehler J, Hanning U. Elevated blood glucose is associated with aggravated brain edema in acute stroke. J Neurol 2019; 267:440-448. [PMID: 31667625 DOI: 10.1007/s00415-019-09601-9] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2019] [Revised: 10/20/2019] [Accepted: 10/21/2019] [Indexed: 10/25/2022]
Abstract
BACKGROUND AND PURPOSE Clinical outcome after endovascular thrombectomy in patients with acute ischemic stroke still varies significantly. Higher blood glucose levels (BGL) have been associated with worse clinical outcome, but the pathophysiological causes are not yet understood. We hypothesized that higher levels of BGL are associated with more pronounced ischemic brain edema and worse clinical outcome mediated by cerebral collateral circulation. METHODS 178 acute ischemic stroke patients who underwent mechanical thrombectomy were included. Early ischemic brain edema was determined using quantitative lesion water uptake on initial computed tomography (CT) and collateral status was assessed with an established 5-point scoring system in CT-angiography. Good clinical outcome was defined as functional independence (modified Rankin Scale [mRS] score 0-2). Multivariable logistic regression analysis was performed to predict functional independence and linear regression analyses to investigate the impact of BGL and collateral status on water uptake. RESULTS The mean BGL at admission was significantly lower in patients with good outcome at 90 days (116.5 versus 138.5 mg/dl; p < 0.001) and early water uptake was lower (6.3% versus 9.6%; p < 0.001). The likelihood for good outcome declined with increasing BGL (odds ratio [OR] per 100 mg/dl BGL increase: 0.15; 95% CI 0.02-0.86; p = 0.039). Worse collaterals (1% water uptake per point, 95% CI 0.4-1.7%) and higher BGL (0.6% per 10 mg/dl BGL, 95% CI 0.3-0.8%) were significantly associated with increased water uptake. CONCLUSION Elevated admission BGL were associated with increased early brain edema and poor clinical outcome mediated by collateral status. Patients with higher BGL might be targeted by adjuvant anti-edematous treatment.
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Affiliation(s)
- Gabriel Broocks
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany.
| | - Andre Kemmling
- Department of Neuroradiology, Westpfalz-Klinikum, Kaiserslautern, Germany.,Faculty of Medicine Mannheim, University of Heidelberg, Heidelberg, Germany
| | - Jens Aberle
- Department of Endocrinology and Diabetology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Helge Kniep
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Matthias Bechstein
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Fabian Flottmann
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Hannes Leischner
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Tobias D Faizy
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Jawed Nawabi
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany.,Department of Radiology, Charité University Medical Center, Berlin, Germany
| | - Gerhard Schön
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Peter Sporns
- Department of Neuroradiology, Westpfalz-Klinikum, Kaiserslautern, Germany
| | - Götz Thomalla
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jens Fiehler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Uta Hanning
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
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Nawabi J, Kniep H, Schön G, Flottmann F, Leischner H, Kabiri R, Sporns P, Kemmling A, Thomalla G, Fiehler J, Broocks G, Hanning U. Hemorrhage After Endovascular Recanalization in Acute Stroke: Lesion Extent, Collaterals and Degree of Ischemic Water Uptake Mediate Tissue Vulnerability. Front Neurol 2019; 10:569. [PMID: 31214107 PMCID: PMC6558047 DOI: 10.3389/fneur.2019.00569] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2019] [Accepted: 05/15/2019] [Indexed: 11/17/2022] Open
Abstract
Background and Purpose: Intracranial hemorrhage (ICH) remains a major complication of endovascular treatment (ET) in acute stroke. The aim of this study was to identify clinical and imaging predictors for ICH in patients with acute ischemic stroke undergoing successful ET. Methods: We performed a retrospective analysis of patients with large vessel occlusion in the anterior circulation who underwent successful ET at our university medical center between 2015 and 2018. ICH was diagnosed on non-enhanced CT and a binary outcome was defined: ICH occurrence in the immediate post-interventional phase within 12–36 h (yes/no). The impacts of clinical, radiological, and interventional parameters on outcome were assessed in logistic regression models. Results: One hundred and seven patients fulfilled the inclusion criteria. 37 (34.6%) showed an ICH of which 7 (6.5%) patients were diagnosed as symptomatic and 30 (28.04%) as asymptomatic. Multivariable regression analyses identified a lower ASPECTS (adjusted odds ratio (OR) 1.95, 95%CI: 1.4–3.63, P = 0.037), low collateral score (adjusted OR 0.12, 95%CI: 0.03–0.49, P = 0.003) and high Net Water Uptake (NWU) (adjusted OR 1.56, 95%CI: 2.34–1.03, P = 0.007) as independent predictors of ICH after successful ET. Conclusions: CT-based quantitative NWU, ASPECTS, and collateral score mediate tissue vulnerability and are reliable independent predictors of a bleeding event after successful ET. This imaging-based prediction model might be useful for early stratification of patients at high risk of a bleeding event after ET, especially with low ASPECTS.
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Affiliation(s)
- Jawed Nawabi
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Helge Kniep
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Gerhard Schön
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Fabian Flottmann
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Hannes Leischner
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Reza Kabiri
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Peter Sporns
- Department of Radiology, University Hospital Münster, Münster, Germany
| | - André Kemmling
- Department of Radiology, University Hospital Münster, Münster, Germany
| | - Götz Thomalla
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jens Fiehler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Gabriel Broocks
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Uta Hanning
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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