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Suomalainen OP, Elseoud Abou A, Martinez-Majander N, Tiainen M, Valkonen K, Virtanen P, Forss N, Curtze S. Is infarct core growth linear? Infarct volume estimation by computed tomography perfusion imaging. Acta Neurol Scand 2022; 145:684-691. [PMID: 35187642 DOI: 10.1111/ane.13601] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 02/08/2022] [Accepted: 02/09/2022] [Indexed: 12/30/2022]
Abstract
OBJECTIVES Current guidelines for recanalization treatment are based on the time elapsed between symptom onset and treatment and visualization of existing penumbra in computed tomography perfusion (CTP) imaging. The time window for treatment options relies on linear growth of infarction although individual infarct growth rate may vary. We aimed to test how accurately the estimated follow-up infarct volume (eFIV) can be approximated by using a linear growth model based on CTP baseline imaging. If eFIV did not fall within the margins of +/- 19% of the follow-up infarct volume (FIV) measured at 24 h from non-enhanced computed tomography images, the results would imply that the infarct growth is not linear. MATERIALS AND METHODS All consecutive endovascularly treated (EVT) patients from 11/2015 to 9/2019 at the Helsinki University Hospital with large vessel occlusion (LVO), CTP imaging, and known time of symptom onset were included. Infarct growth rate was assumed to be linear and calculated by dividing the ischemic core volume (CTPcore ) by the time from symptom onset to baseline imaging. eFIV was calculated by multiplying the infarct growth rate with the time from baseline imaging to recanalization or in case of futile recanalization to follow-up imaging at 24 h, limited to the penumbra. Collateral flow was estimated by calculating hypoperfusion intensity ratio (HIR). RESULTS Of 5234 patients, 48 had LVO, EVT, CTP imaging, and known time of symptom onset. In 40/48 patients (87%), infarct growth was not linear. HIR did not differ between patients with linear and nonlinear growth (p > .05). As expected, in over half of the patients with successful recanalization eFIV exceeded FIV. CONCLUSIONS Infarct growth was not linear in most patients and thus time elapsed from symptom onset and CTPcore appear to be insufficient parameters for clinical decision-making in EVT candidates.
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Affiliation(s)
- Olli P Suomalainen
- Departments of Neurology, Helsinki University Hospital, Helsinki, Finland
| | - Ahmed Elseoud Abou
- Neuroradiology, Helsinki University Hospital and Clinical Neurosciences, University of Helsinki, Helsinki, Finland
| | | | - Marjaana Tiainen
- Departments of Neurology, Helsinki University Hospital, Helsinki, Finland
| | - Kati Valkonen
- Departments of Neurology, Helsinki University Hospital, Helsinki, Finland
| | - Pekka Virtanen
- Neuroradiology, Helsinki University Hospital and Clinical Neurosciences, University of Helsinki, Helsinki, Finland
| | - Nina Forss
- Departments of Neurology, Helsinki University Hospital, Helsinki, Finland.,Department of Neuroscience and Biomedical Engineering, Aalto University, Espoo, Finland
| | - Sami Curtze
- Departments of Neurology, Helsinki University Hospital, Helsinki, Finland
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52
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Wu RR, Lu SS, Cao YZ, Xu XQ, Jia ZY, Zhao LB, Liu S, Shi HB, Wu FY. Hypoperfusion intensity ratio correlates with clinical outcome of endovascular thrombectomy in acute ischaemic stroke patients with late therapeutic window. Clin Radiol 2022; 77:570-576. [PMID: 35595563 DOI: 10.1016/j.crad.2022.04.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Accepted: 04/07/2022] [Indexed: 11/03/2022]
Abstract
AIM To evaluate the prognostic value of the hypoperfusion intensity ratio (HIR) on 90-day clinical outcome in acute ischaemic stroke (AIS) patients with late therapeutic window. MATERIALS AND METHODS One hundred and sixty-eight consecutive AIS patients with anterior-circulation large-vessel occlusion who underwent endovascular thrombectomy during the late window were enrolled retrospectively. Clinical data, Alberta Stroke Program Early Computed Tomography Score (ASPECTS) based on unenhanced computed tomography (CT), and perfusion parameters included ischaemic core, hypoperfusion volume, mismatch volume between core and penumbra, and the HIR were assessed and compared between patients with or without favourable outcomes (defined as modified Rankin Scale score of 0-2). Statistical analysis included binary logistic regression and receiver operating characteristic (ROC) analyses. RESULTS A favourable outcome was achieved in 76 (45.2%) patients. In univariable analysis, age, National Institutes of Health Stroke Scale (NIHSS) score at admission, ASPECTS score, HIR, ischaemic core, and hypoperfusion volume were significantly associated with functional outcome (p<0.05). In multivariate analyses, age (OR 0.95; 95% CI 0.92-0.99), NIHSS score at admission (OR 0.89, 95% CI 0.84-0.96) and HIR (OR 0.018, 95% CI 0.003-0.113) remained as independent outcome predictors (p<0.01). The optimal threshold of HIR was 0.36 (sensitivity 70.7%, specificity 61.8%). The combination of age, NIHSS score at admission, and HIR yield good performance for outcome prediction with an area under the ROC curve of 0.815 (sensitivity 88.2%, specificity 64.1%), significantly higher than individual variable (p<0.05). CONCLUSION Low HIR was a predictor for favourable outcome in AIS patients with late therapeutic window. Integrating HIR with clinical variables improved the ability for outcome classification.
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Affiliation(s)
- R-R Wu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - S-S Lu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - Y-Z Cao
- Department of Interventional Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - X-Q Xu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - Z-Y Jia
- Department of Interventional Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - L-B Zhao
- Department of Interventional Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - S Liu
- Department of Interventional Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - H-B Shi
- Department of Interventional Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - F-Y Wu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China.
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53
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Faizy TD, Mlynash M, Kabiri R, Christensen S, Kuraitis G, Meyer L, Bechstein M, Van Horn N, Lansberg MG, Albers G, Fiehler J, Wintermark M, Heit JJ. Favourable arterial, tissue-level and venous collaterals correlate with early neurological improvement after successful thrombectomy treatment of acute ischaemic stroke. J Neurol Neurosurg Psychiatry 2022; 93:jnnp-2021-328041. [PMID: 35577509 DOI: 10.1136/jnnp-2021-328041] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Accepted: 01/09/2022] [Indexed: 11/04/2022]
Abstract
BACKGROUND AND PURPOSE Early neurological improvement (ENI) after thrombectomy is associated with better long-term outcomes in patients with acute ischaemic stroke due to large vessel occlusion (AIS-LVO). Whether cerebral collaterals influence the likelihood of ENI is poorly described. We hypothesised that favourable collateral perfusion at the arterial, tissue-level and venous outflow (VO) levels is associated with ENI after thrombectomy. MATERIALS AND METHODS Multicentre retrospective study of patients with AIS-LVO treated by thrombectomy. Tissue-level collaterals (TLC) were measured on cerebral perfusion studies by the hypoperfusion intensity ratio. VO and pial arterial collaterals (PAC) were determined by the Cortical Vein Opacification Score and the modified Tan scale on CT angiography, respectively. ENI was defined as improvement of ≥8 points or a National Institutes of Health Stroke Scale score of 0 hour or 1 24 hours after treatment. Multivariable regression analyses were used to determine the association of collateral biomarkers with ENI and good functional outcomes (modified Rankin Scale 0-2). RESULTS 646 patients met inclusion criteria. Favourable PAC (OR: 1.9, CI 1.2 to 3.1; p=0.01), favourable VO (OR: 3.3, CI 2.1 to 5.1; p<0.001) and successful reperfusion (OR: 3.1, CI 1.7 to 5.8; p<0.001) were associated with ENI, but favourable TLC were not (p=0.431). Good functional outcomes at 90-days were associated with favourable TLC (OR: 2.2, CI 1.4 to 3.6; p=0.001), VO (OR: 5.7, CI 3.5 to 9.3; p<0.001) and ENI (OR: 5.7, CI 3.3 to 9.8; p<0.001), but not PAC status (p=0.647). CONCLUSION Favourable PAC and VO were associated with ENI after thrombectomy. Favourable TLC predicted longer term functional recovery after thrombectomy, but the impact of TLC on ENI is strongly dependent on vessel reperfusion.
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Affiliation(s)
- Tobias Djamsched Faizy
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Michael Mlynash
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, California, USA
| | - Reza Kabiri
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Department of Radiology, Stanford University, Stanford, California, USA
| | - Soren Christensen
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, California, USA
| | | | - Lukas Meyer
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Matthias Bechstein
- 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
| | - Maarten G Lansberg
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, California, USA
| | - Greg Albers
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, California, USA
| | - Jens Fiehler
- Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Hamburg, Germany
| | - Max Wintermark
- Department of Radiology, Stanford University, Stanford, California, USA
| | - Jeremy J Heit
- Department of Radiology, Stanford University School of Medicine, Stanford, California, USA
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54
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Su M, Chen Z, Chen X, Huang J, Li Z, Zhou Y, Xu G. Venous Flow Profiles on Perfusion CT are Associated with Futile Recanalization After Thrombectomy. Neuropsychiatr Dis Treat 2022; 18:933-942. [PMID: 35515078 PMCID: PMC9064056 DOI: 10.2147/ndt.s360626] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 04/09/2022] [Indexed: 11/23/2022] Open
Abstract
Background and Purpose Robust venous outflow (VO) reflects favourable tissue reperfusion in acute ischaemic stroke (AIS) patients with large vessel occlusion (LVO). We aimed to investigate the association of the venous outflow profile on computed tomographic perfusion (CTP) and futile recanalization in anterior circulation AIS patients with LVO after thrombectomy. Methods This was a retrospective study of consecutive AIS patients due to anterior circulation LVO who underwent CTP before thrombectomy. Patients who achieved successful recanalization defined as a modified Thrombolysis in Cerebral Infarction (mTICI) score of 2b or 3 after thrombectomy were included. Based on the venous time-intensity curve of CTP, the peak time of venous outflow (PTV), total venous outflow time (TVT), and difference value of arteriovenous peak time (D-value) were recorded. A modified mRS score of 3-6 at 3 months was regarded as futile recanalization (FR). Logistic regression analysis was applied to assess risk factors for FR. We used receiver operating characteristic curves (ROCs) to evaluate the predictive value of venous outflow time parameters based on VO for FR. Results Eighty patients were included; 35 (43.8%) achieved good functional outcomes, and 45 (56.3%) had unfavourable functional outcomes, that is, FR. Adjusting confounding factors, binary stepwise logistic regression analysis showed that delayed PTV was independently associated with FR (odds ratio, 1.374 [95% CI, 1.093-1.726], P = 0.007). ROCs indicated that PTV effectively predicted unfavourable outcomes at 3 months (area under the curve (AUC) = 0.729, p< 0.001). The combined model was a powerful predictor of FR with an AUC of 0.824 and a cut-off value of 0.631 (p< 0.001). Conclusion Delayed PTV is independently related to FR in anterior circulation AIS patients with LVO achieving successful recanalization after thrombectomy. Our results highlight that the time of VO may be a potential marker for FR.
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Affiliation(s)
- Mouxiao Su
- The First School of Clinical Medicine, Southern Medical University, Guangzhou, 510000, People’s Republic of China
- Department of Neurology, School of Medicine, Mianyang Central Hospital, University of Electronic Science and Technology of China, Mianyang, 621000, People’s Republic of China
| | - Zhonglun Chen
- Department of Neurology, School of Medicine, Mianyang Central Hospital, University of Electronic Science and Technology of China, Mianyang, 621000, People’s Republic of China
| | - Xinyue Chen
- CT Collaboration, Siemens Healthineers, Chengdu, 610000, People’s Republic of China
| | - Jiaxing Huang
- Department of Radiology, School of Medicine, Mianyang Central Hospital, University of Electronic Science and Technology of China, Mianyang, 621000, People’s Republic of China
| | - Zhaokun Li
- Department of Neurology, School of Medicine, Mianyang Central Hospital, University of Electronic Science and Technology of China, Mianyang, 621000, People’s Republic of China
| | - Ying Zhou
- Department of Radiology, School of Medicine, Mianyang Central Hospital, University of Electronic Science and Technology of China, Mianyang, 621000, People’s Republic of China
| | - Gelin Xu
- The First School of Clinical Medicine, Southern Medical University, Guangzhou, 510000, People’s Republic of China
- Department of Neurology, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, People's Republic of China
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55
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Lu WZ, Lin HA, Hou SK, Bai CH, Lin SF. Diagnostic test accuracy of pretreatment collateral score in predicting stroke outcomes after intra-arterial endovascular thrombectomy: a meta-analysis in DSA and CTA. Eur Radiol 2022; 32:6097-6107. [PMID: 35322281 DOI: 10.1007/s00330-022-08706-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 02/23/2022] [Accepted: 03/01/2022] [Indexed: 11/26/2022]
Abstract
OBJECTIVES This study compared the diagnostic accuracy of pretreatment circulation collateral scoring (CS) system using digital subtraction angiography (DSA) and computed tomography angiography (CTA) in predicting favorable functional outcome (FFO) after intra-arterial endovascular thrombectomy (IA-EVT). Subgroup analysis characterizing scoring systems within each category was additionally conducted. MATERIALS AND METHODS We performed a diagnostic meta-analysis to assess the sensitivity and specificity of each CS system by using DSA and CTA, respectively. The hierarchical summary receiver operating characteristic curve (HSROC) models were used to estimate the diagnostic odds ratio (DOR) and area under the curve (AUC). The Bayes theorem was employed to determine posttest probability (PTP). RESULTS In total, 14 and 21 studies were assessed with DSA and CTA, respectively. In DSA, the pooled sensitivity and specificity were 0.72 (95% CI, 0.63-0.79) and 0.61 (0.53-0.68), respectively, and in the HSROC model, the DOR was 3.94 (2.71-5.73), and the AUC was 0.71 (90.67-0.75). CTA revealed a pooled sensitivity and specificity of 0.74 (0.64-0.82) and 0.53 (0.44-0.62), respectively, and in the HSROC model, the DOR was 3.17 (2.34-4.50), and the AUC was 0.67 (0.63-0.71). With a pretest probability of 26.3%, the CS in DSA and CTA exhibited limited increase of PTPs of 39% and 36%, respectively, in detecting the FFO on day 90. CONCLUSION DSA and CTA have comparable accuracy and are limited in predicting the functional outcome. The collateral score systems assessed with DSA and CTA were more suitable for screening than diagnosis for patients before IA-EVT. KEY POINTS • Our study revealed the differences of various scoring systems for assessing collateral status. • DSA and CTA have comparable accuracy, but both imaging modalities played relatively limited roles in predicting functional outcome on day 90. • The collateral score systems assessed with DSA and CTA were more suitable for screening than diagnosis for patients before IA-EVT.
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Affiliation(s)
- Wei-Zhen Lu
- Department of Emergency Medicine, Taipei Medical University-Shuang Ho Hospital, New Taipei, Taiwan
| | - Hui-An Lin
- Department of Emergency Medicine, Taipei Medical University Hospital, Taipei, Taiwan
| | - Sen-Kuang Hou
- Department of Emergency Medicine, Taipei Medical University Hospital, Taipei, Taiwan
- Department of Emergency Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Chyi-Huey Bai
- School of Public Health, College of Public Health, Taipei Medical University, Taipei, Taiwan
- Department of Public Health, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
- Nutrition Research Center, Taipei Medical University Hospital, Taipei, Taiwan
| | - Sheng-Feng Lin
- Department of Emergency Medicine, Taipei Medical University Hospital, Taipei, Taiwan.
- School of Public Health, College of Public Health, Taipei Medical University, Taipei, Taiwan.
- Department of Public Health, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.
- Department of Critical Care Medicine, Taipei Medical University Hospital, Taipei, Taiwan.
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56
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Wouters A, Robben D, Christensen S, Marquering HA, Roos YB, van Oostenbrugge RJ, van Zwam WH, Dippel DW, Majoie CB, Schonewille WJ, van der Lugt A, Lansberg M, Albers GW, Suetens P, Lemmens R. Prediction of Stroke Infarct Growth Rates by Baseline Perfusion Imaging. Stroke 2022; 53:569-577. [PMID: 34587794 PMCID: PMC8792202 DOI: 10.1161/strokeaha.121.034444] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
BACKGROUND AND PURPOSE Computed tomography perfusion imaging allows estimation of tissue status in patients with acute ischemic stroke. We aimed to improve prediction of the final infarct and individual infarct growth rates using a deep learning approach. METHODS We trained a deep neural network to predict the final infarct volume in patients with acute stroke presenting with large vessel occlusions based on the native computed tomography perfusion images, time to reperfusion and reperfusion status in a derivation cohort (MR CLEAN trial [Multicenter Randomized Clinical Trial of Endovascular Treatment for Acute Ischemic Stroke in the Netherlands]). The model was internally validated in a 5-fold cross-validation and externally in an independent dataset (CRISP study [CT Perfusion to Predict Response to Recanalization in Ischemic Stroke Project]). We calculated the mean absolute difference between the predictions of the deep learning model and the final infarct volume versus the mean absolute difference between computed tomography perfusion imaging processing by RAPID software (iSchemaView, Menlo Park, CA) and the final infarct volume. Next, we determined infarct growth rates for every patient. RESULTS We included 127 patients from the MR CLEAN (derivation) and 101 patients of the CRISP study (validation). The deep learning model improved final infarct volume prediction compared with the RAPID software in both the derivation, mean absolute difference 34.5 versus 52.4 mL, and validation cohort, 41.2 versus 52.4 mL (P<0.01). We obtained individual infarct growth rates enabling the estimation of final infarct volume based on time and grade of reperfusion. CONCLUSIONS We validated a deep learning-based method which improved final infarct volume estimations compared with classic computed tomography perfusion imaging processing. In addition, the deep learning model predicted individual infarct growth rates which could enable the introduction of tissue clocks during the management of acute stroke.
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Affiliation(s)
- Anke Wouters
- Department of Neurology, University Hospitals Leuven, Leuven, Belgium,Department of Neurosciences, Experimental Neurology, KU Leuven – University of Leuven, Leuven, Belgium.,Center for Brain & Disease Research, Laboratory of Neurobiology, VIB, Leuven, Belgium,Department of Neurology, Academic Medical Center, Amsterdam, Netherlands
| | - David Robben
- Medical Imaging Research Center (MIRC), KU Leuven, Leuven, Belgium,Medical Image Computing (MIC), ESAT-PSI, Department of Electrical Engineering, KU Leuven, Leuven, Belgium,Icometrix, Leuven, Belgium
| | | | - Henk A. Marquering
- Department of Radiology and Nuclear Medicine, Academic Medical Center, Amsterdam, Netherlands,Department of Biomedical Engineering and Physics, Academic Medical Center, Amsterdam, Netherlands
| | - Yvo B.W.E.M. Roos
- Department of Neurology, Academic Medical Center, Amsterdam, Netherlands
| | - Robert J. van Oostenbrugge
- Department of Neurology, Maastricht University Medical Center and Cardiovascular Research Institute (CARIM), Maastricht, Netherlands
| | - Wim H. van Zwam
- Department of Radiology, Maastricht University Medical Center and Cardiovascular Research Institute (CARIM), Maastricht, Netherlands
| | - Diederik W.J. Dippel
- Department of Neurology, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - Charles B.L.M. Majoie
- Department of Radiology and Nuclear Medicine, Academic Medical Center, Amsterdam, Netherlands
| | - Wouter J. Schonewille
- Department of Neurology, St. Antonius Hospital, Nieuwegein, and University Medical Center Utrecht, Utrecht
| | - Aad van der Lugt
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | | | | | - Paul Suetens
- Medical Imaging Research Center (MIRC), KU Leuven, Leuven, Belgium,Medical Image Computing (MIC), ESAT-PSI, Department of Electrical Engineering, KU Leuven, Leuven, Belgium
| | - Robin Lemmens
- Department of Neurology, University Hospitals Leuven, Leuven, Belgium,Department of Neurosciences, Experimental Neurology, KU Leuven – University of Leuven, Leuven, Belgium.,Center for Brain & Disease Research, Laboratory of Neurobiology, VIB, Leuven, Belgium
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57
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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: 3.0] [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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Xing P, Zhang X, Shen H, Shen F, Zhang L, Li Z, Zhang Y, Hong B, Shi H, Han H, Ye X, Zhang Y, Yang P, Liu J. Effect of stroke etiology on endovascular thrombectomy with or without intravenous alteplase: a subgroup analysis of DIRECT-MT. J Neurointerv Surg 2022; 14:1200-1206. [PMID: 35017204 DOI: 10.1136/neurintsurg-2021-018275] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 12/10/2021] [Indexed: 11/03/2022]
Abstract
BACKGROUND Stroke etiology might influence the clinical outcomes in patients with large vessel occlusion receiving endovascular treatment (EVT) with or without thrombolysis. OBJECTIVE To examine whether stroke etiology resulted in different efficacy and safety in patients treated with EVT-alone or EVT preceded by intravenous alteplase (combined therapy). METHODS We assessed the efficacy and safety of treatment strategy based on prespecified stroke etiology, cardioembolism (CE), large-artery atherosclerosis (LAA), and undetermined cause (UC) for patients enrolled in the DIRECT-MT trial. The primary outcome was the modified Rankin Scale (mRS) score at 90 days. Multivariate ordinal logistic regression analysis was used to calculate the adjusted common OR for a shift of better mRS score for EVT-alone versus combined therapy. A term was entered to test for interaction. RESULTS In this study, 656 patients were grouped into three prespecified stroke etiologic subgroups. The adjusted common ORs for improvement in the 90-day ordinal mRS score with EVT-alone were 1.2 (95% CI 0.8 to 1.8) for CE, 1.6 (95% CI 0.8 to 3.3) for LAA, and 0.8 (95% CI 0.5 to 1.3) for UC. Compared with CE, EVT-alone was more likely to result in an mRS score of 0-1 (pinteraction=0.047) and extended Thrombolysis in Cerebral Infarction ≥2b (pinteraction=0.041) in the LAA group. The differences in mortality and symptomatic intracranial hemorrhage within 90 days were not significant between the subgroups (p>0.05). CONCLUSIONS The results did not support the hypothesis that a specific treatment strategy based on stroke etiology should be used for patients with large vessel occlusion (NCT03469206).
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Affiliation(s)
- Pengfei Xing
- Department of Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Xiaoxi Zhang
- Department of Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Hongjian Shen
- Department of Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Fang Shen
- Department of Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Lei Zhang
- Department of Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Zifu Li
- Department of Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Yongxin Zhang
- Department of Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Bo Hong
- Department of Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Huaizhang Shi
- Department of Neurosurgery, First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Hongxing Han
- Department of Neurology, Linyi People's Hospital, Linyi, Shandong, China
| | - Xiaofei Ye
- Department of Health Statistics, Naval Medical University, Shanghai, China
| | - Yongwei Zhang
- Department of Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Pengfei Yang
- Department of Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Jianmin Liu
- Department of Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
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Lin Y, Kang N, Kang J, Lv S, Wang J. Predictive value of time-variant color-coded multiphase CT angiography (mCTA) regarding clinical outcome of acute ischemic stroke: in comparison with conventional mCTA and CT perfusion. Acta Radiol 2022; 63:84-92. [PMID: 33356350 DOI: 10.1177/0284185120981770] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
BACKGROUND Color-coded multiphase computed tomography angiography (mCTA) can provide time-variant blood flow information of collateral circulation for acute ischemic stroke (AIS). PURPOSE To compare the predictive values of color-coded mCTA, conventional mCTA, and CT perfusion (CTP) for the clinical outcomes of patients with AIS. MATERIAL AND METHODS Consecutive patients with anterior circulation AIS were retrospectively reviewed at our center. Baseline collateral scores of color-coded mCTA and conventional mCTA were assessed by a 6-point scale. The reliabilities between junior and senior observers were assessed by weighted Kappa coefficients. Receiver operating characteristic (ROC) curves and multivariate logistic regression model were applied to evaluate the predictive capabilities of color-coded mCTA and conventional mCTA scores, and CTP parameters (hypoperfusion and infarct core volume) for a favorable outcome of AIS. RESULTS A total of 138 patients (including 70 cases of good outcomes) were included in our study. Patients with favorable prognoses were correlated with better collateral circulations on both color-coded and conventional mCTA, and smaller hypoperfusion and infarct core volume (all P < 0.05) on CTP. ROC curves revealed no significant difference between the predictive capability of color-coded and conventional mCTA (P = 0.427). The predictive value of CTP parameters tended to be inferior to that of color-coded mCTA score (all P < 0.001). Both junior and senior observers had consistently excellent performances (κ = 0.89) when analyzing color-coded mCTA maps. CONCLUSION Color-coded mCTA provides prognostic information of patients with AIS equivalent to or better than that of conventional mCTA and CTP. Junior radiologists can reach high diagnostic accuracy when interpreting color-coded mCTA images.
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Affiliation(s)
- Yu Lin
- Department of Radiology, Zhongshan Hospital Affiliated to Xiamen University, Xiamen, Fujian, PR China
| | - Nannan Kang
- Department of Radiology, Zhongshan Hospital Affiliated to Xiamen University, Xiamen, Fujian, PR China
| | - Jianghe Kang
- Department of Radiology, Zhongshan Hospital Affiliated to Xiamen University, Xiamen, Fujian, PR China
| | - Shaomao Lv
- Department of Radiology, Zhongshan Hospital Affiliated to Xiamen University, Xiamen, Fujian, PR China
| | - Jinan Wang
- Department of Radiology, Zhongshan Hospital Affiliated to Xiamen University, Xiamen, Fujian, PR China
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Nael K, Sakai Y, Larson J, Goldstein J, Deutsch J, Awad AJ, Pawha P, Aggarwal A, Fifi J, Deleacy R, Yaniv G, Wintermark M, Liebeskind DS, Shoirah H, Mocco J. CT Perfusion collateral index in assessment of collaterals in acute ischemic stroke with delayed presentation: Comparison to single phase CTA. J Neuroradiol 2021; 49:198-204. [PMID: 34800563 DOI: 10.1016/j.neurad.2021.11.002] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 11/04/2021] [Accepted: 11/09/2021] [Indexed: 11/25/2022]
Abstract
BACKGROUND & PURPOSE Perfusion collateral index (PCI) has been recently defined as a promising measure of collateral status. We sought to compare collateral status assessed via CT-PCI in comparison to single-phase CTA and their relationship to outcome measures including final infarction volume, final recanalization status and functional outcome in ELVO patients. METHODS ELVO patients with anterior circulation large vessel occlusion who had baseline CTA and CT perfusion and underwent endovascular treatment were included. Collateral status was assessed on CTA. PCI from CT perfusion was calculated in each patient and an optimal threshold to separate good vs insufficient collaterals was identified using DSA as reference. The collateral status determined by CTA and PCI were assessed against 3 measured outcomes: 1) final infarction volume; 2) final recanalization status defined by TICI scores; 3) functional outcome measured by 90-day mRS. RESULTS A total of 53 patients met inclusion criteria. Excellent recanalization defined by TICI ≥2C was achieved in 36 (68%) patients and 23 patients (43%) had good functional outcome (mRS ≤2). While having good collaterals on both CTA and CTP-PCI was associated with significantly (p<0.05) smaller final infarction volume, only good collaterals status determined by CTP-PCI was associated with achieving excellent recanalization (p = 0.001) and good functional outcome (p = 0.003). CONCLUSION CTP-based PCI outperforms CTA collateral scores in determination of excellent recanalization and good functional outcome and may be a promising imaging marker of collateral status in patients with delayed presentation of AIS.
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Affiliation(s)
- Kambiz Nael
- Department of Radiological Sciences, David Geffen School of Medicine at University of California Los Angeles, Los Angeles, CA 90095, USA; Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
| | - Yu Sakai
- Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Jonathan Larson
- Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Jared Goldstein
- Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Jacob Deutsch
- Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Ahmed J Awad
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Puneet Pawha
- Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Amit Aggarwal
- Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Johanna Fifi
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Reade Deleacy
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Gal Yaniv
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Max Wintermark
- Department of Radiology, Stanford University, Paolo Alto, CA, 10029, USA
| | - David S Liebeskind
- Department of Neurology, David Geffen School of Medicine at University of California Los Angeles, Los Angeles, CA 90095, USA
| | - Hazem Shoirah
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - J Mocco
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
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Liebeskind DS, Saber H, Xiang B, Jadhav AP, Jovin TG, Haussen DC, Budzik RF, Bonafe A, Bhuva P, Yavagal DR, Hanel RA, Ribo M, Cognard C, Sila C, Hassan AE, Smith WS, Saver JL, Nogueira RG. Collateral Circulation in Thrombectomy for Stroke After 6 to 24 Hours in the DAWN Trial. Stroke 2021; 53:742-748. [PMID: 34727737 DOI: 10.1161/strokeaha.121.034471] [Citation(s) in RCA: 61] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
BACKGROUND AND PURPOSE Collaterals govern the pace and severity of cerebral ischemia, distinguishing fast or slow progressors and corresponding therapeutic opportunities. The fate of sustained collateral perfusion or collateral failure is poorly characterized. We evaluated the nature and impact of collaterals on outcomes in the late time window DAWN trial (Diffusion-Weighted Imaging or Computed Tomography Perfusion Assessment With Clinical Mismatch in the Triage of Wake-Up and Late Presenting Strokes Undergoing Neurointervention With Trevo). METHODS The DAWN Imaging Core Lab prospectively scored collateral grade on baseline computed tomography angiography (CTA; endovascular and control arms) and digital subtraction angiography (DSA; endovascular arm only), blinded to all other data. CTA collaterals were graded with the Tan scale and DSA collaterals were scored by ASITN grade (American Society of Interventional and Therapeutic Neuroradiology collateral score). Descriptive statistics characterized CTA collateral grade in all DAWN subjects and DSA collaterals in the endovascular arm. The relationship between collateral grade and day 90 outcomes were separately analyzed for each treatment arm. RESULTS Collateral circulation to the ischemic territory was evaluated on CTA (n=144; median 2, 0-3) and DSA (n=57; median 2, 1-4) before thrombectomy in 161 DAWN subjects (mean age 69.8±13.6 years; 55.3% women; 91 endovascular therapy, 70 control). CTA revealed a broad range of collaterals (Tan grade 3, n=64 [44%]; 2, n=45 [31%]; 1, n=31 [22%]; 0, n=4 [3%]). DSA also showed a diverse range of collateral grades (ASITN grade 4, n=4; 3, n=22; 2, n=27; 1, n=4). Across treatment arms, baseline demographics, clinical variables except atrial fibrillation (41.6% endovascular versus 25.0% controls, P=0.04), and CTA collateral grades were balanced. Differences were seen across the 3 levels of collateral flow (good, fair, poor) for baseline National Institutes of Health Stroke Scale, blood glucose <150, diabetes, previous ischemic stroke, baseline and 24-hour core infarct volume, baseline and 24-hour Alberta Stroke Program Early CT Score, dramatic infarct progression, final Thrombolysis in Cerebral Infarction 2b+, and death. Collateral flow was a significant predictor of 90-day modified Rankin Scale score of 0 to 2 in the endovascular arm, with 43.7% (31/71) of subjects with good collaterals, 30.8% (16/52) of subjects with fair collaterals, and 17.7% (6/34) of subjects with poor collaterals reaching modified Rankin Scale score of 0 to 2 at 90 days (P=0.026). CONCLUSIONS DAWN subjects enrolled at 6 to 24 hours after onset with limited infarct cores had a wide range of collateral grades on both CTA and DSA. Even in this late time window, better collaterals lead to slower stroke progression and better functional outcomes. REGISTRATION URL: https://www.clinicaltrials.gov; Unique identifier: NCT02142283.
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Affiliation(s)
| | | | - Bin Xiang
- Prospect Analytical, Inc, San Jose, CA (B.X.)
| | | | - Tudor G Jovin
- Barrow Neurological Institute, Phoenix, AZ (A.P.J., T.G.J.)
| | - Diogo C Haussen
- Emory University School of Medicine/ Grady Memorial Hospital, Atlanta, GA (D.C.H., R.G.N.)
| | - Ronald F Budzik
- OhioHealth Riverside Methodist Hospital, Columbus, OH (R.F.B.)
| | - Alain Bonafe
- Hôpital Gui-de-Chauliac, Montpellier, France (A.B.)
| | - Parita Bhuva
- Texas Stroke Institute, Dallas-Fort Worth (P.B.)
| | - Dileep R Yavagal
- University of Miami Miller School of Medicine-Jackson Memorial Hospital, Miami, FL (D.R.Y.)
| | | | - Marc Ribo
- Hospital Vall d'Hebrón, Barcelona, Spain (M.R.)
| | | | - Cathy Sila
- University Hospital of Cleveland, OH (C.S.)
| | - Ameer E Hassan
- University of Texas Rio Grande Valley-Valley Baptist Medical Center, Harlingen (A.E.H.)
| | - Wade S Smith
- University of California, San Francisco, San Francisco (W.S.S.)
| | | | - Raul G Nogueira
- Emory University School of Medicine/ Grady Memorial Hospital, Atlanta, GA (D.C.H., R.G.N.)
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Slawski D, Heit JJ. Treatment Challenges in Acute Minor Ischemic Stroke. Front Neurol 2021; 12:723637. [PMID: 34557152 PMCID: PMC8452987 DOI: 10.3389/fneur.2021.723637] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Accepted: 08/11/2021] [Indexed: 01/12/2023] Open
Abstract
Patients with acute ischemic stroke may present with minor neurologic deficits. Acute treatment decisions depend on the disability imposed by the symptoms along with radiographic features. The presence of disabling neurologic deficits warrants intravenous thrombolysis, but the indications for endovascular therapy are less defined. The degree of disability, presence of a large vessel occlusion with perfusion mismatch, and collateral circulation status may all be factors in selecting patients for endovascular treatment. Identification of patients who are at risk for neurologic deterioration is critical to preventing poor outcomes in this patient population.
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Affiliation(s)
- Diana Slawski
- Department of Neurology, Stanford Health Care, Stanford, CA, United States
| | - Jeremy J Heit
- Department of Neuroimaging and Neurointervention, Stanford Health Care, Stanford, CA, United States
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63
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Faizy TD, Kabiri R, Christensen S, Mlynash M, Kuraitis G, Broocks G, Flottmann F, Meyer L, Leischner H, Lansberg MG, Albers GW, Marks MP, Fiehler J, Wintermark M, Heit JJ. Distinct intra-arterial clot localization affects tissue-level collaterals and venous outflow profiles. Eur J Neurol 2021; 28:4109-4116. [PMID: 34424584 DOI: 10.1111/ene.15079] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Revised: 08/15/2021] [Accepted: 08/16/2021] [Indexed: 12/31/2022]
Abstract
BACKGROUND AND PURPOSE Arterial clot localization affects collateral flow to ischemic brain in patients with acute ischemic stroke due to large vessel occlusion (AIS-LVO). We determined the association between vessel occlusion locations, tissue-level collaterals (TLC), and venous outflow (VO) profiles and their impact on good functional outcomes. METHODS We conducted a multicenter retrospective cohort study of consecutive AIS-LVO patients who underwent thrombectomy triage. Baseline computed tomographic angiography (CTA) was used to localize vessel occlusion, which was dichotomized into proximal vessel occlusion (PVO; internal carotid artery and proximal first segment of the middle cerebral artery [M1]) and distal vessel occlusion (DVO; distal M1 and M2), and to assess collateral scores. TLC were assessed on computed tomographic perfusion data using the hypoperfusion intensity ratio. VO was determined on baseline CTA by the cortical vein opacification score. Primary outcomes were favorable VO and TLC; secondary outcome was the modified Rankin Scale after 90 days. RESULTS A total of 649 patients met inclusion criteria. Of these, 376 patients (58%) had a PVO and 273 patients (42%) had a DVO. Multivariate ordinal logistic regression showed that DVO predicted favorable TLC (odds ratio [OR] = 1.77, 95% confidence interval [CI] = 1.24-2.52, p = 0.002) and favorable VO (OR = 7.2, 95% CI = 5.2-11.9, p < 0.001). DVO (OR = 3.4, 95% CI = 2.1-5.6, p < 0.001), favorable VO (OR = 6.4, 95% CI = 3.8-10.6, p < 0.001), and favorable TLC (OR = 3.2, 95% CI = 2-5.3, p < 0.001), but not CTA collaterals (OR = 1.07, 95% CI = 0.60-1.91, p = 0.813), were predictors of good functional outcome. CONCLUSIONS DVO in AIS-LVO patients correlates with favorable TLC and VO profiles, which are associated with good functional outcome.
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Affiliation(s)
- Tobias D Faizy
- Department of Radiology, Stanford University School of Medicine, Stanford, California, USA.,Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Reza Kabiri
- Department of Radiology, Stanford University School of Medicine, Stanford, California, USA
| | - Soren Christensen
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California, USA
| | - Michael Mlynash
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California, USA
| | - Gabriella Kuraitis
- Department of Radiology, Stanford University School of Medicine, Stanford, California, USA
| | - Gabriel Broocks
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Fabian Flottmann
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Lukas Meyer
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Hannes Leischner
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Maarten G Lansberg
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California, USA
| | - Gregory W Albers
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California, USA
| | - Michael P Marks
- Department of Radiology, Stanford University School of Medicine, Stanford, California, USA
| | - Jens Fiehler
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Max Wintermark
- Department of Radiology, Stanford University School of Medicine, Stanford, California, USA
| | - Jeremy J Heit
- Department of Radiology, Stanford University School of Medicine, Stanford, California, USA
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64
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Lyndon D, van den Broek M, Niu B, Yip S, Rohr A, Settecase F. Hypoperfusion Intensity Ratio Correlates with CTA Collateral Status in Large-Vessel Occlusion Acute Ischemic Stroke. AJNR Am J Neuroradiol 2021; 42:1380-1386. [PMID: 34140276 DOI: 10.3174/ajnr.a7181] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Accepted: 02/19/2021] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Collateral blood supply is a key determinant of outcome in large-vessel occlusion acute ischemic stroke. Single- and multiphase CTA collateral scoring systems have been described but are subjective and require training. We aimed to test whether the CTP-derived hypoperfusion intensity ratio is associated with CTA collateral status and whether a threshold hypoperfusion intensity ratio exists that predicts poor CTA collaterals. MATERIALS AND METHODS Imaging and clinical data of consecutive patients with large-vessel occlusion acute ischemic stroke were retrospectively reviewed. Single-phase CTA and multiphase CTA scoring were performed by 2 blinded neuroradiologists using the Tan, Maas, and Calgary/Menon methods. CTP was processed using RApid processing of PerfusIon and Diffusion software (RAPID). Hypoperfusion intensity ratio = ratio of brain volume with time-to-maximum >10 seconds over time-to-maximum >6-second volume. Correlation between the hypoperfusion intensity ratio and CTA collateral scores was calculated using the Pearson correlation. The optimal threshold of the hypoperfusion intensity ratio for predicting poor collaterals was determined using receiver operating characteristic curve analysis. RESULTS Fifty-two patients with large-vessel occlusion acute ischemic stroke were included. Multiphase CTA collateral scoring showed better interrater agreement (κ = 0.813) than single-phase CTA (Tan, κ = 0.587; Maas, κ = 0.273). The hypoperfusion intensity ratio correlated with CTA collateral scores (multiphase CTA: r = -0.55; 95% CI, -0.67 to -0.40; P ≤ .001). The optimal threshold for predicting poor multiphase CTA collateral status was a hypoperfusion intensity ratio of >0.45 (sensitivity = 78%; specificity = 76%; area under the curve = 0.86). Patients with high hypoperfusion intensity ratio/poor collateral status had lower ASPECTS/larger infarcts, higher NIHSS scores, and larger hypoperfused volumes. CONCLUSIONS The hypoperfusion intensity ratio is associated with CTA collateral status in patients with large-vessel occlusion acute ischemic stroke. The hypoperfusion intensity ratio is an automated and quantitative alternative to CTA collateral scoring methods for both clinical and future stroke trial settings.
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Affiliation(s)
- D Lyndon
- Neuroradiology Division (D.L., M.v.d.B., A.R., F.S.), Vancouver General Hospital, Vancouver, British Columbia, Canada
- Department of Radiology (D.L., M.v.d.B., A.R., F.S.), University of British Columbia, Vancouver, v, Canada
| | - M van den Broek
- Neuroradiology Division (D.L., M.v.d.B., A.R., F.S.), Vancouver General Hospital, Vancouver, British Columbia, Canada
- Department of Radiology (D.L., M.v.d.B., A.R., F.S.), University of British Columbia, Vancouver, v, Canada
| | - B Niu
- Vancouver Imaging Inc (B.N.), Vancouver, British Columbia, Canada
| | - S Yip
- Department of Neurology (S.Y.), University of British Columbia, Vancouver, British Columbia, Canada
| | - A Rohr
- Neuroradiology Division (D.L., M.v.d.B., A.R., F.S.), Vancouver General Hospital, Vancouver, British Columbia, Canada
- Department of Radiology (D.L., M.v.d.B., A.R., F.S.), University of British Columbia, Vancouver, v, Canada
| | - F Settecase
- Neuroradiology Division (D.L., M.v.d.B., A.R., F.S.), Vancouver General Hospital, Vancouver, British Columbia, Canada
- Department of Radiology (D.L., M.v.d.B., A.R., F.S.), University of British Columbia, Vancouver, v, Canada
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Rethinking the Collateral Vasculature Assessment in Acute Ischemic Stroke: The Comprehensive Collateral Cascade. Top Magn Reson Imaging 2021; 30:181-186. [PMID: 34397967 DOI: 10.1097/rmr.0000000000000274] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
ABSTRACT Occlusion of a cervical or cerebral artery results in disruption of blood flow to the brain and may result in irreversible infarction. Intracranial pial collaterals are a network of arteries that may preserve blood flow to otherwise critically hypoperfused brain areas until vessel recanalization is achieved. The robustness of these arterial collaterals is pivotal for the survivability of ischemic brain tissue and is associated with treatment success and long-term clinical outcome. More recently, the importance of venous outflow from ischemic brain tissue has been appreciated. Arterial collaterals and venous outflow are evaluated by neuroimaging parameters, and recent imaging advances have enabled a more comprehensive assessment of the entire collateral cascade in patients with acute ischemic stroke. Here we review novel imaging biomarkers for the assessment of arterial collaterals, tissue-level collateral blood flow, and venous outflow. We also summarize how a more comprehensive assessment of the cerebral blood flow leads to a better prediction of treatment efficacy and improved clinical outcomes.
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66
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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: 41] [Impact Index Per Article: 10.3] [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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Xu Z, Tong Z, Duan Y, Xing D, Song H, Pei Y, Yang B. Diffusion- and Susceptibility Weighted Imaging Mismatch Correlates With Collateral Circulation and Prognosis After Middle Cerebral Artery M1-Segment Occlusion. Front Neurol 2021; 12:660529. [PMID: 34381410 PMCID: PMC8351464 DOI: 10.3389/fneur.2021.660529] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Accepted: 06/28/2021] [Indexed: 11/24/2022] Open
Abstract
Objective: To explore the relation between diffusion-weighted and susceptibility weighted imaging (DWI-SWI) mismatch and collateral circulation or prognosis in patients with occluded M1 segments of middle cerebral artery (MCA). Methods: We enrolled 59 patients with MCA M1-segment occlusion for a retrospective review of baseline clinical and imaging data. As markers of circulatory collaterals, prominent laterality of posterior (PLPCA) and anterior (PLACA) cerebral arteries on magnetic resonance angiography (MRA) studies and a hyperintense vessel sign (HVS) on T2 fluid-attenuated inversion recovery (FLAIR) images were collectively scored. The extent of acute cerebral infarction was then quantified on DWI, using the Alberta Stroke Program Early CT Score (DWI-ASPECTS). Hypointensity vessel sign prominence (PVS) was also evaluated by SWI and similarly scored (SWI-ASPECT) to calculate DWI-SWI mismatch [(DWI-ASPECTS) – (SWI-ASPECTS)], ranging from −10 to 10 points. Results: DWI-SWI mismatch showed significant associations with PLPCA, PLACA, HVS prominence, and collective collateral scores (all, p < 0.05). National Institutes of Health Stroke Scale (NIHSS), DWI-SWI mismatch, and DWI-ASPECTS also differed significantly according to patient prognosis (good vs. poor) after MCA M1-segment occlusion (p < 0.05). In binary logistic regression analyses, NIHSS and DWI-SWI mismatch emerged as independent prognostic factors (p < 0.05). Conclusions: Collateral circulation may be an important aspect of DWI-SWI mismatch, which in this study correlated with prognostic outcomes of MCA M1-segment occlusion.
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Affiliation(s)
- Zhihua Xu
- Department of Radiology, TongDe Hospital of Zhejiang Province, Hangzhou, China.,Department of Radiology, Center for Neuroimaging, General Hospital of Northern Theater Command, Shenyang, China
| | - Zhenhua Tong
- Department of Scientific Research, General Hospital of Northern Theater Command, Shenyang, China
| | - Yang Duan
- Department of Radiology, Center for Neuroimaging, General Hospital of Northern Theater Command, Shenyang, China.,General Hospital of Northern Theater Command Training Base for Graduate, Jinzhou Medical University, Shenyang, China
| | - Dengxiang Xing
- Center for Medical Data, General Hospital of Northern Theater Command, Shenyang, China
| | - Hongyan Song
- Department of Radiology, General Hospital of Northern Theater Command, Shenyang, China
| | - Yusong Pei
- General Hospital of Northern Theater Command Training Base for Graduate, Jinzhou Medical University, Shenyang, China
| | - Benqiang Yang
- Department of Radiology, General Hospital of Northern Theater Command, Shenyang, China
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Tate WJ, Polding LC, Christensen S, Mlynash M, Kemp S, Heit JJ, Marks MP, Albers GW, Lansberg MG. Predictors of Early and Late Infarct Growth in DEFUSE 3. Front Neurol 2021; 12:699153. [PMID: 34276547 PMCID: PMC8283804 DOI: 10.3389/fneur.2021.699153] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Accepted: 06/09/2021] [Indexed: 11/18/2022] Open
Abstract
Introduction: The goal of this study is to explore the impact of reperfusion and collateral status on infarct growth in the early and late time windows. Materials and Methods: Seventy patients from the DEFUSE 3 trial (Endovascular Therapy Following Imaging Evaluation for Ischemic Stroke) with baseline, 24-h, and late follow-up scans were evaluated. Scans were taken with DWI or CTP at time of enrollment (Baseline), with DWI or CT 24-h after enrollment (24-h), and with DWI or CT 5 days after enrollment (Late). Early infarct growth (between baseline and 24-h scans) and late infarct growth (between 24-h and late scans) was assessed for each patient. The impact of collateral and reperfusion status on infarct growth was assessed in univariate and multivariate regression. Results: The median early infarct growth was 30.3 ml (IQR 16.4–74.5) and the median late infarct growth was 6.7 ml (IQR −3.5–21.6) in the overall sample. Patients with poor collaterals showed greater early infarct growth (Median 58.5 ml; IQR 18.6–125.6) compared to patients with good collaterals (Median 28.4 ml; IQR 15.8–49.3, unadjusted p = 0.04, adjusted p = 0.06) but showed no difference in late infarct growth. In contrast, patients who reperfused showed no reduction in early infarct growth but showed reduced late infarct growth (Median 1.9 ml; IQR −6.1–8.5) compared to patients without reperfusion (Median 11.2 ml; IQR −1.1–27.2, unadjusted p < 0.01, adjusted p = 0.04). Discussion: In the DEFUSE 3 population, poor collaterals predict early infarct growth and absence of reperfusion predicts late infarct growth. These results highlight the need for timely reperfusion therapy, particularly in patients with poor collaterals and indicate that the 24-h timepoint is too early to assess the full impact of reperfusion therapy on infarct growth. Clinical Trial Registration:http://www.clinicaltrials.gov, Unique identifier [NCT02586415].
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Affiliation(s)
- William J Tate
- Stanford University School of Medicine, Stanford, CA, United States
| | - Laura C Polding
- Stanford University School of Medicine, Stanford, CA, United States
| | | | | | | | - Jeremy J Heit
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, United States
| | - Michael P Marks
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, United States
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Kishi F, Nakagawa I, Park H, Kotsugi M, Myouchin K, Motoyama Y, Nakase H. Low relative diffusion weighted image signal intensity can predict good prognosis after endovascular thrombectomy in patients with acute ischemic stroke. J Neurointerv Surg 2021; 14:618-622. [PMID: 34140286 DOI: 10.1136/neurintsurg-2021-017583] [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: 03/30/2021] [Accepted: 05/31/2021] [Indexed: 11/04/2022]
Abstract
BACKGROUND It is vital to identify a surrogate last-known-well time to perform proper endovascular thrombectomy in acute ischemic stroke; however, no established imaging biomarker can easily and quickly identify eligibility for endovascular thrombectomy and predict good clinical prognosis. OBJECTIVE To investigate whether low relative diffusion-weighted imaging (DWI) signal intensity can be used as a predictor of good clinical outcome after endovascular thrombectomy in patients with acute ischemic stroke. METHODS We retrospectively identified consecutive patients with acute ischemic stroke who were treated with endovascular thrombectomy within 24 hours of the last-known-well time and achieved successful recanalization (modified Thrombolysis in Cerebral Infarction score ≥2b). Relative DWI signal intensity was calculated as DWI signal intensity in the infarcted area divided by DWI signal intensity in the contralateral hemisphere. Good prognosis was defined as a modified Rankin Scale score of 0-2 at 90 days after stroke onset (good prognosis group). RESULTS 49 patients were included in the analysis. Relative DWI signal intensity was significantly lower in the group with good prognosis than in the those with poor prognosis (median (IQR) 1.32 (1.27-1.44) vs 1.56 (1.43-1.66); p<0.01), and the critical cut-off value for predicting good prognosis was 1.449 (area under the curve 0.78). Multiple logistic regression analysis revealed association of good prognosis after endovascular thrombectomy with low relative DWI signal intensity (OR=6.84; 95% CI 1.13 to 41.3; p=0.04). CONCLUSIONS Low relative DWI signal intensity was associated with good prognosis after endovascular thrombectomy. Its ability to predict good clinical outcome shows potential for determining patient suitability for endovascular thrombectomy.
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Affiliation(s)
- Fumihisa Kishi
- Department of Neurosurgery, Nara Medical University School of Medicine Graduate School of Medicine, Kashihara, Nara, Japan
| | - Ichiro Nakagawa
- Department of Neurosurgery, Nara Medical University School of Medicine Graduate School of Medicine, Kashihara, Nara, Japan
| | - HunSoo Park
- Department of Neurosurgery, Nara Medical University School of Medicine Graduate School of Medicine, Kashihara, Nara, Japan
| | - Masashi Kotsugi
- Department of Neurosurgery, Nara Medical University School of Medicine Graduate School of Medicine, Kashihara, Nara, Japan
| | - Kaoru Myouchin
- Department of Radiology, Nara Medical University School of Medicine Graduate School of Medicine, Kashihara, Nara, Japan
| | - Yasushi Motoyama
- Department of Neurosurgery, Nara Medical University School of Medicine Graduate School of Medicine, Kashihara, Nara, Japan
| | - Hiroyuki Nakase
- Department of Neurosurgery, Nara Medical University School of Medicine Graduate School of Medicine, Kashihara, Nara, Japan
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70
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Anadani M, Finitsis S, Clarençon F, Richard S, Marnat G, Bourcier R, Sibon I, Dargazanli C, Arquizan C, Blanc R, Lapergue B, Consoli A, Eugene F, Vannier S, Spelle L, Denier C, Boulanger M, Gauberti M, Liebeskind DS, de Havenon A, Saleme S, Macian F, Rosso C, Naggara O, Turc G, Ozkul-Wermester O, Papagiannaki C, Viguier A, Cognard C, Le Bras A, Evain S, Wolff V, Pop R, Timsit S, Gentric JC, Bourdain F, Veunac L, Maier B, Gory B. Collateral status reperfusion and outcomes after endovascular therapy: insight from the Endovascular Treatment in Ischemic Stroke (ETIS) Registry. J Neurointerv Surg 2021; 14:551-557. [PMID: 34140288 DOI: 10.1136/neurintsurg-2021-017553] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Accepted: 05/31/2021] [Indexed: 01/13/2023]
Abstract
BACKGROUND Studies have suggested that collateral status modifies the effect of successful reperfusion on functional outcome after endovascular therapy (EVT). We aimed to assess the association between collateral status and EVT outcomes and to investigate whether collateral status modified the effect of successful reperfusion on EVT outcomes. METHODS We used data from the ongoing, prospective, multicenter Endovascular Treatment in Ischemic Stroke (ETIS) Registry. Collaterals were graded according to the American Society of Interventional and Therapeutic Neuroradiology/Society of Interventional Radiology (ASITN/SIR) guidelines. Patients were divided into two groups based on angiographic collateral status: poor (grade 0-2) versus good (grade 3-4) collaterals. RESULTS Among 2020 patients included in the study, 959 (47%) had good collaterals. Good collaterals were associated with favorable outcome (90-day modified Rankin Scale (mRS) 0-2) (OR 1.5, 95% CI 1.19 to 1.88). Probability of good outcome decreased with increased time from onset to reperfusion in both good and poor collateral groups. Successful reperfusion was associated with higher odds of favorable outcome in good collaterals (OR 6.01, 95% CI 3.27 to 11.04) and poor collaterals (OR 5.65, 95% CI 3.32 to 9.63) with no significant interaction. Similarly, successful reperfusion was associated with higher odds of excellent outcome (90-day mRS 0-1) and lower odds of mortality in both groups with no significant interaction. The benefit of successful reperfusion decreased with time from onset in both groups, but the curve was steeper in the poor collateral group. CONCLUSIONS Collateral status predicted functional outcome after EVT. However, collateral status on the pretreatment angiogram did not decrease the clinical benefit of successful reperfusion.
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Affiliation(s)
- Mohammad Anadani
- Department of Neurology, Washington University School of Medicine in Saint Louis, Saint Louis, Missouri, USA .,Neurology, Neurosurgery, Medical University of South Carolina,College of Medicine, Charleston, South Carolina, USA
| | - Stephanos Finitsis
- Neuroradiolology, University General Hospital of Thessaloniki AHEPA, Thessaloniki, Greece
| | - Frédéric Clarençon
- Neuroradiology, Pitié-Salpêtrière Hospital, Paris, France.,Neuroradiology, Sorbonne Université, Paris, Paris, France
| | - Sébastien Richard
- Neurology Stroke Unit, University Hospital Centre Nancy, Nancy, France
| | - Gaultier Marnat
- Interventional and Diagnostic Neuroradiology, Bordeaux University Hospital, Bordeaux, France
| | - Romain Bourcier
- Neuroradiology, University Hospital of Nantes, Nantes, France
| | - Igor Sibon
- Neuroradiology, CHU de Bordeaux, Bordeaux, France
| | - Cyril Dargazanli
- Neuroradiology, Centre Hospitalier Regional Universitaire de Montpellier, Montpellier, Languedoc-Roussillon, France
| | | | - Raphael Blanc
- Interventional Neuroradiology, Fondation Rothschild, Paris, Île-de-France, France
| | | | - Arturo Consoli
- Diagnostic and Interventional Neuroradiology, Hospital Foch, Suresnes, France.,Interventional Neurovascular Unit, Azienda Ospedaliero Universitaria Careggi, Firenze, Italy
| | | | | | - Laurent Spelle
- Department of Neuroradiolology, CHU Kremlin Bicêtre, Paris, France
| | | | | | | | - David S Liebeskind
- Neurology, University of California, Los Angeles, Los Angeles, California, USA
| | - Adam de Havenon
- Department of Neurology, University of Utah, Salt Lake City, Utah, USA
| | | | | | - Charlotte Rosso
- Department of Neurology, CHU Pitié-Salpétrière, Paris, France
| | | | - Guillaume Turc
- Neurology, Stroke Unit, Hôpital Saint Anne, Paris, France
| | | | | | - Alain Viguier
- Department of Neurology, CHU Toulouse, Toulouse, France
| | - Christophe Cognard
- Diagnostic and Therapeutic Neuroradiology, Hôpital Purpan, Toulouse, France
| | - Anthony Le Bras
- Department of Radiology, CH Bretagne Atlantique, Vannes, France.,Department of Neurology, CHU Rennes Service de radiologie et d'imagerie médicale, Rennes, France
| | - Sarah Evain
- Department of Neurology, Centre Hospitalier Bretagne Atlantique, Vannes, Bretagne, France
| | - Valerie Wolff
- Stroke unit, Strasbourg University Hospitals, Strasbourg, France
| | - Raoul Pop
- Department of Neuroradiolology, CHU Strasbourg, Strasbourg, France
| | - Serge Timsit
- Department of Neurology, CHU Brest, Brest, France
| | | | | | - Louis Veunac
- Department of Neuroradiolology, CH Côte Basque, Bayonne, France
| | - Benjamin Maier
- Interventional Neuroradiology, Adolphe de Rothschild Ophthalmological Foundation, Paris, France
| | - Benjamin Gory
- Diagnostic and Interventional Neuroradiology, Centre Hospitalier Universitaire de Nancy, Nancy, France
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Faizy TD, Kabiri R, Christensen S, Mlynash M, Kuraitis G, Mader MMD, Albers GW, Lansberg MG, Fiehler J, Wintermark M, Marks MP, Heit JJ. Association of Venous Outflow Profiles and Successful Vessel Reperfusion After Thrombectomy. Neurology 2021; 96:e2903-e2911. [PMID: 33952649 PMCID: PMC8253568 DOI: 10.1212/wnl.0000000000012106] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Accepted: 03/17/2021] [Indexed: 12/28/2022] Open
Abstract
OBJECTIVE Robust arterial collaterals are associated with successful reperfusion after thrombectomy treatment of acute ischemic stroke due to large vessel occlusion (AIS-LVO). Excellent venous outflow (VO) reflects excellent tissue perfusion and collateral status in patients with AIS-LVO. The goal of this study was to determine whether favorable VO profiles assessed on pretreatment CT angiography (CTA) images correlate with successful vessel reperfusion after thrombectomy in patients with AIS-LVO. METHODS This was a multicenter retrospective cohort study of consecutive patients with AIS-LVO treated by thrombectomy. Baseline CTA was used to assess collateral status (Tan scale) and VO using the Cortical Vein Opacification Score (COVES). Favorable VO was defined as COVES ≥3. Primary outcome was excellent vessel reperfusion status (modified Thrombolysis in Cerebral Infarction 2c/3). Secondary outcome was good functional outcome defined as a score of 0 to 2 on the modified Rankin Scale after 90 days. RESULTS Five hundred sixty-five patients met the inclusion criteria. Multivariable logistic regression analysis showed that favorable VO (odds ratio [OR] 2.10 [95% confidence interval (CI) 1.39-3.16]; p < 0.001) was associated with excellent vessel reperfusion during thrombectomy, regardless of good CTA collateral status (OR 0.87 [95% CI 0.58-1.34]; p = 0.48). A favorable VO profile (OR 8.9 [95%CI 5.3-14.9]; p < 0.001) and excellent vessel reperfusion status (OR 2.7 [95%CI 1.7-4.4]; p < 0.001) were independently associated with good functional outcome adjusted for age, sex, glucose, tissue plasminogen activator administration, good CTA collateral status, and presentation NIH Stroke Scale score. CONCLUSION A favorable VO profile is associated with reperfusion success and good functional outcomes in patients with AIS-LVO treated by endovascular thrombectomy. CLASSIFICATION OF EVIDENCE This study provides Class II evidence that a favorable VO profile is associated with reperfusion success and good functional outcomes in patients with AIS-LVO treated by endovascular thrombectomy.
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Affiliation(s)
- Tobias Djamsched Faizy
- From the Department of Neuroimaging and Neurointerventions (T.D.F., R.K., G.K., M.W., M.P.M., J.J.H.) and Stanford Stroke Center (S.C., M.M., G.W.A., M.G.L.), Stanford University, CA; and Departments of Neurosurgery (M.M.-D.M.) and Neuroradiology (J.F.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Reza Kabiri
- From the Department of Neuroimaging and Neurointerventions (T.D.F., R.K., G.K., M.W., M.P.M., J.J.H.) and Stanford Stroke Center (S.C., M.M., G.W.A., M.G.L.), Stanford University, CA; and Departments of Neurosurgery (M.M.-D.M.) and Neuroradiology (J.F.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Soren Christensen
- From the Department of Neuroimaging and Neurointerventions (T.D.F., R.K., G.K., M.W., M.P.M., J.J.H.) and Stanford Stroke Center (S.C., M.M., G.W.A., M.G.L.), Stanford University, CA; and Departments of Neurosurgery (M.M.-D.M.) and Neuroradiology (J.F.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Michael Mlynash
- From the Department of Neuroimaging and Neurointerventions (T.D.F., R.K., G.K., M.W., M.P.M., J.J.H.) and Stanford Stroke Center (S.C., M.M., G.W.A., M.G.L.), Stanford University, CA; and Departments of Neurosurgery (M.M.-D.M.) and Neuroradiology (J.F.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Gabriella Kuraitis
- From the Department of Neuroimaging and Neurointerventions (T.D.F., R.K., G.K., M.W., M.P.M., J.J.H.) and Stanford Stroke Center (S.C., M.M., G.W.A., M.G.L.), Stanford University, CA; and Departments of Neurosurgery (M.M.-D.M.) and Neuroradiology (J.F.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Marius Marc-Daniel Mader
- From the Department of Neuroimaging and Neurointerventions (T.D.F., R.K., G.K., M.W., M.P.M., J.J.H.) and Stanford Stroke Center (S.C., M.M., G.W.A., M.G.L.), Stanford University, CA; and Departments of Neurosurgery (M.M.-D.M.) and Neuroradiology (J.F.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Gregory W Albers
- From the Department of Neuroimaging and Neurointerventions (T.D.F., R.K., G.K., M.W., M.P.M., J.J.H.) and Stanford Stroke Center (S.C., M.M., G.W.A., M.G.L.), Stanford University, CA; and Departments of Neurosurgery (M.M.-D.M.) and Neuroradiology (J.F.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Maarten G Lansberg
- From the Department of Neuroimaging and Neurointerventions (T.D.F., R.K., G.K., M.W., M.P.M., J.J.H.) and Stanford Stroke Center (S.C., M.M., G.W.A., M.G.L.), Stanford University, CA; and Departments of Neurosurgery (M.M.-D.M.) and Neuroradiology (J.F.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jens Fiehler
- From the Department of Neuroimaging and Neurointerventions (T.D.F., R.K., G.K., M.W., M.P.M., J.J.H.) and Stanford Stroke Center (S.C., M.M., G.W.A., M.G.L.), Stanford University, CA; and Departments of Neurosurgery (M.M.-D.M.) and Neuroradiology (J.F.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Max Wintermark
- From the Department of Neuroimaging and Neurointerventions (T.D.F., R.K., G.K., M.W., M.P.M., J.J.H.) and Stanford Stroke Center (S.C., M.M., G.W.A., M.G.L.), Stanford University, CA; and Departments of Neurosurgery (M.M.-D.M.) and Neuroradiology (J.F.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Michael P Marks
- From the Department of Neuroimaging and Neurointerventions (T.D.F., R.K., G.K., M.W., M.P.M., J.J.H.) and Stanford Stroke Center (S.C., M.M., G.W.A., M.G.L.), Stanford University, CA; and Departments of Neurosurgery (M.M.-D.M.) and Neuroradiology (J.F.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jeremy J Heit
- From the Department of Neuroimaging and Neurointerventions (T.D.F., R.K., G.K., M.W., M.P.M., J.J.H.) and Stanford Stroke Center (S.C., M.M., G.W.A., M.G.L.), Stanford University, CA; and Departments of Neurosurgery (M.M.-D.M.) and Neuroradiology (J.F.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
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Low Hypoperfusion Intensity Ratio Is Associated with a Favorable Outcome Even in Large Ischemic Core and Delayed Recanalization Time. J Clin Med 2021; 10:jcm10091869. [PMID: 33925888 PMCID: PMC8123392 DOI: 10.3390/jcm10091869] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Revised: 04/21/2021] [Accepted: 04/22/2021] [Indexed: 11/17/2022] Open
Abstract
In ischemic brain tissue, hypoperfusion severity can be assessed using the hypoperfusion intensity ratio (HIR). We evaluated the link between HIR and clinical outcomes after successful recanalization by endovascular treatment. We retrospectively reviewed 162 consecutive patients who underwent endovascular treatment for intracranial large vessel occlusion. The HIR was calculated using an automated software program, with initial computed tomography perfusion images. The HIR was compared between patients with and without favorable outcomes. To observe the modifying effect of the HIR on the well-known major outcome determinants, regression analyses were performed in the low and high HIR groups. The median HIR value was significantly lower in patients with a favorable outcome, with an optimal cut-off point of 0.54. The HIR was an independent factor for a favorable outcome in a specific multivariable model and was significantly correlated with the Alberta Stroke Program Early Computed Tomography Score (ASPECTS). In contrast to the high HIR group, the low HIR group showed that ASPECTS and onset-to-recanalization time were not independently associated with a favorable outcome. Finally, the low HIR group had a more favorable outcome even in cases with an unfavorable ASPECTS and onset-to-recanalization time. The HIR could be useful in predicting outcomes after successful recanalization.
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73
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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: 50] [Impact Index Per Article: 12.5] [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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Brugnara G, Herweh C, Neuberger U, Bo Hansen M, Ulfert C, Mahmutoglu MA, Foltyn M, Nagel S, Schönenberger S, Heiland S, Ringleb PA, Bendszus M, Möhlenbruch M, Pfaff JAR, Vollmuth P. Dynamics of cerebral perfusion and oxygenation parameters following endovascular treatment of acute ischemic stroke. J Neurointerv Surg 2021; 14:neurintsurg-2020-017163. [PMID: 33762405 PMCID: PMC8785045 DOI: 10.1136/neurintsurg-2020-017163] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2020] [Revised: 02/06/2021] [Accepted: 02/10/2021] [Indexed: 11/03/2022]
Abstract
BACKGROUND We studied the effects of endovascular treatment (EVT) and the impact of the extent of recanalization on cerebral perfusion and oxygenation parameters in patients with acute ischemic stroke (AIS) and large vessel occlusion (LVO). METHODS Forty-seven patients with anterior LVO underwent computed tomography perfusion (CTP) before and immediately after EVT. The entire ischemic region (Tmax >6 s) was segmented before intervention, and tissue perfusion (time-to-maximum (Tmax), time-to-peak (TTP), mean transit time (MTT), cerebral blood volume (CBV), cerebral blood flow (CBF)) and oxygenation (coefficient of variation (COV), capillary transit time heterogeneity (CTH), metabolic rate of oxygen (CMRO2), oxygen extraction fraction (OEF)) parameters were quantified from the segmented area at baseline and the corresponding area immediately after intervention, as well as within the ischemic core and penumbra. The impact of the extent of recanalization (modified Treatment in Cerebral Infarction (mTICI)) on CTP parameters was assessed with the Wilcoxon test and Pearson's correlation coefficients. RESULTS The Tmax, MTT, OEF and CTH values immediately after EVT were lower in patients with complete (as compared with incomplete) recanalization, whereas CBF and COV values were higher (P<0.05) and no differences were found in other parameters. The ischemic penumbra immediately after EVT was lower in patients with complete recanalization as compared with those with incomplete recanalization (P=0.002), whereas no difference was found for the ischemic core (P=0.12). Specifically, higher mTICI scores were associated with a greater reduction of ischemic penumbra volumes (R²=-0.48 (95% CI -0.67 to -0.22), P=0.001) but not of ischemic core volumes (P=0.098). CONCLUSIONS Our study demonstrates that the ischemic penumbra is the key target of successful EVT in patients with AIS and largely determines its efficacy on a tissue level. Furthermore, we confirm the validity of the mTICI score as a surrogate parameter of interventional success on a tissue perfusion level.
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Affiliation(s)
- Gianluca Brugnara
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Baden-Württemberg, Germany
| | - Christian Herweh
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Baden-Württemberg, Germany
| | - Ulf Neuberger
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Baden-Württemberg, Germany
| | - Mikkel Bo Hansen
- Center of Functionally Integrative Neuroscience and MINDLab, Aarhus Universitet, Aarhus, Midtjylland, Denmark
| | - Christian Ulfert
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Baden-Württemberg, Germany
| | - Mustafa Ahmed Mahmutoglu
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Baden-Württemberg, Germany
| | - Martha Foltyn
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Baden-Württemberg, Germany
| | - Simon Nagel
- Department of Neurology, Heidelberg University Hospital, Heidelberg, Baden-Württemberg, Germany
| | - Silvia Schönenberger
- Department of Neurology, Heidelberg University Hospital, Heidelberg, Baden-Württemberg, Germany
| | - Sabine Heiland
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Baden-Württemberg, Germany
| | - Peter Arthur Ringleb
- Department of Neurology, Heidelberg University Hospital, Heidelberg, Baden-Württemberg, Germany
| | - Martin Bendszus
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Baden-Württemberg, Germany
| | - Markus Möhlenbruch
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Baden-Württemberg, Germany
| | - Johannes Alex Rolf Pfaff
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Baden-Württemberg, Germany
| | - Philipp Vollmuth
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Baden-Württemberg, Germany
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75
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Hypoperfusion Index Ratio as a Surrogate of Collateral Scoring on CT Angiogram in Large Vessel Stroke. J Clin Med 2021; 10:jcm10061296. [PMID: 33801050 PMCID: PMC8003946 DOI: 10.3390/jcm10061296] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 03/17/2021] [Accepted: 03/18/2021] [Indexed: 01/14/2023] Open
Abstract
Background: This study was to evaluate the correlation of the hypoperfusion intensity ratio (HIR) with the collateral score from multiphase computed tomography angiography (mCTA) among patients with large vessel stroke. Method: From February 2019 to May 2020, we retrospectively reviewed the patients with large vessel strokes (intracranial carotid artery or proximal middle cerebral artery occlusion). HIR was defined as a Tmax > 10 s lesion volume divided by a Tmax > 6 s lesion volume, which was calculated by automatic software (Syngo.via, Siemens). The correlation between the HIR and mCTA score was evaluated by Pearson’s correlation. The cutoff value predicting the mCTA score was evaluated by receiver operating characteristic analysis. Result: Ninety-four patients were enrolled in the final analysis. The patients with good collaterals had a smaller core volume (37.3 ± 24.7 vs. 116.5 ± 70 mL, p < 0.001) and lower HIR (0.51 ± 0.2 vs. 0.73 ± 0.13, p < 0.001) than those with poor collaterals. A higher HIR was correlated with a poorer collateral score by Pearson’s correlation. (r = −0.64, p < 0.001). The receiver operating characteristic (ROC) analysis suggested that the best HIR value for predicting a good collateral score was 0.68 (area under curve: 0.82). Conclusion: HIR is a good surrogate of collateral circulation in patients with acute large artery occlusion.
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76
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Faizy TD, Kabiri R, Christensen S, Mlynash M, Kuraitis GM, Broocks G, Flottmann F, Marks MP, Lansberg MG, Albers GW, Fiehler J, Wintermark M, Heit JJ. Favorable Venous Outflow Profiles Correlate With Favorable Tissue-Level Collaterals and Clinical Outcome. Stroke 2021; 52:1761-1767. [PMID: 33682452 DOI: 10.1161/strokeaha.120.032242] [Citation(s) in RCA: 54] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND AND PURPOSE Patients with acute ischemic stroke due to large vessel occlusion and favorable tissue-level collaterals (TLCs) likely have robust cortical venous outflow (VO). We hypothesized that favorable VO predicts robust TLC and good clinical outcomes. METHODS Multicenter retrospective cohort study of consecutive acute ischemic stroke due to large vessel occlusion patients who underwent thrombectomy triage. Included patients had interpretable prethrombectomy computed tomography, computed tomography angiography, and cerebral perfusion imaging. TLCs were measured on cerebral perfusion studies using the hypoperfusion intensity ratio (volume ratio of brain tissue with [Tmax >10 s/Tmax >6 s]). VO was determined by opacification of the vein of Labbé, sphenoparietal sinus, and superficial middle cerebral vein on computed tomography angiography as 0, not visible; 1, moderate opacification; and 2, full. Clinical and demographic data were determined from the electronic medical record. Using multivariable regression analyses, we determined the association between VO and (1) favorable TLC status (defined as hypoperfusion intensity ratio ≤0.4) and (2) good functional outcome (modified Rankin Scale score, 0-2). RESULTS Six hundred forty-nine patients met inclusion criteria. Patients with favorable VO were younger (median age, 72 [interquartile range (IQR), 62-80] versus 77 [IQR, 66-84] years), had a lower baseline National Institutes of Health Stroke Scale (median, 12 [IQR, 7-17] versus 19 [IQR, 13-20]), and had a higher Alberta Stroke Program Early Computed Tomography Score (median, 9 [IQR, 7-10] versus 7 [IQR, 6-9]). Favorable VO strongly predicted favorable TLC (odds ratio, 4.5 [95% CI, 3.1-6.5]; P<0.001) in an adjusted regression analysis. Favorable VO also predicted good clinical outcome (odds ratio, 10 [95% CI, 6.2-16.0]; P<0.001), while controlling for favorable TLC, age, glucose, baseline National Institutes of Health Stroke Scale, and good vessel reperfusion status. CONCLUSIONS In this selective retrospective cohort study of acute ischemic stroke due to large vessel occlusion patients undergoing thrombectomy triage, favorable VO profiles correlated with favorable TLC and were associated with good functional outcomes after treatment. Future prospective studies should independently validate our findings.
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Affiliation(s)
- Tobias D Faizy
- Department of Radiology (T.D.F., R.K., G.M.K., M.P.M., M.W., J.J.H.), Stanford University School of Medicine, CA
| | - Reza Kabiri
- Department of Radiology (T.D.F., R.K., G.M.K., M.P.M., M.W., J.J.H.), Stanford University School of Medicine, CA
| | - Soren Christensen
- Department of Neurology and Neurological Sciences (S.C., M.M., M.G.L., G.W.A.), Stanford University School of Medicine, CA
| | - Michael Mlynash
- Department of Neurology and Neurological Sciences (S.C., M.M., M.G.L., G.W.A.), Stanford University School of Medicine, CA
| | - Gabriella M Kuraitis
- Department of Radiology (T.D.F., R.K., G.M.K., M.P.M., M.W., J.J.H.), Stanford University School of Medicine, CA
| | - Gabriel Broocks
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Germany (G.B., F.F., J.F.)
| | - Fabian Flottmann
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Germany (G.B., F.F., J.F.)
| | - Michael P Marks
- Department of Radiology (T.D.F., R.K., G.M.K., M.P.M., M.W., J.J.H.), Stanford University School of Medicine, CA
| | - Maarten G Lansberg
- Department of Neurology and Neurological Sciences (S.C., M.M., M.G.L., G.W.A.), Stanford University School of Medicine, CA
| | - Gregory W Albers
- Department of Neurology and Neurological Sciences (S.C., M.M., M.G.L., G.W.A.), Stanford University School of Medicine, CA
| | - Jens Fiehler
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Germany (G.B., F.F., J.F.)
| | - Max Wintermark
- Department of Radiology (T.D.F., R.K., G.M.K., M.P.M., M.W., J.J.H.), Stanford University School of Medicine, CA
| | - Jeremy J Heit
- Department of Radiology (T.D.F., R.K., G.M.K., M.P.M., M.W., J.J.H.), Stanford University School of Medicine, CA
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77
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Guo Z, Wu X, Fan W. Clarifying the effects of diabetes on the cerebral circulation: Implications for stroke recovery and beyond. Brain Res Bull 2021; 171:67-74. [PMID: 33662495 DOI: 10.1016/j.brainresbull.2021.02.025] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2020] [Revised: 02/21/2021] [Accepted: 02/26/2021] [Indexed: 02/07/2023]
Abstract
Given the sheer increased number of victims per year and the availability of only one effective treatment, acute ischemic stroke (AIS) remains to be one of the most under-treated serious diseases. Diabetes not only increases the incidence of ischemic stroke, but amplifies the ischemic damage, upon which if patients with diabetes suffer from stroke, he/she will confront increased risks of long-term functional deficits. The grim reality makes it a pressing need to intensify efforts at the basic science level to understand how diabetes impairs stroke recovery. This review retrospects the clinical and experimental studies in order to elucidate the detrimental effect of diabetes on cerebrovascular circulation including the major arteries/arterioles, collateral circulation, and neovascularization to shed light on further exploration of novel strategies for cerebral circulation protection before and after AIS in patients with diabetes.
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Affiliation(s)
- Zhihui Guo
- Department of Neurology, Zhongshan Hospital, Fudan University, 200032, Shanghai, China
| | - Xuqing Wu
- Department of Neurology, Zhongshan Hospital, Fudan University, 200032, Shanghai, China
| | - Wei Fan
- Department of Neurology, Zhongshan Hospital, Fudan University, 200032, Shanghai, China.
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Guenego A, Leipzig M, Fahed R, Sussman ES, Faizy TD, Martin BW, Marcellus DG, Wintermark M, Olivot JM, Albers GW, Lansberg MG, Heit JJ. Effect of Oxygen Extraction (Brush-Sign) on Baseline Core Infarct Depends on Collaterals (HIR). Front Neurol 2021; 11:618765. [PMID: 33488506 PMCID: PMC7815586 DOI: 10.3389/fneur.2020.618765] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2020] [Accepted: 12/07/2020] [Indexed: 12/23/2022] Open
Abstract
Objectives: Baseline-core-infarct volume is a critical factor in patient selection and outcome in acute ischemic stroke (AIS) before mechanical thrombectomy (MT). We determined whether oxygen extraction efficiency and arterial collaterals, two different physiologic components of the cerebral ischemic cascade, interacted to modulate baseline-core-infarct volume in patients with AIS-LVO undergoing MT triage. Methods: Between January 2015 and March 2018, consecutive patients with an AIS and M1 occlusion considered for MT with a baseline MRI and perfusion-imaging were included. Variables such as baseline-core-infarct volume [mL], arterial collaterals (HIR: TMax > 10 s volume/TMax > 6 s), high oxygen extraction (HOE, presence of the brush-sign on T2*) were assessed. A linear-regression was used to test the interaction of HOE and HIR with baseline-core-infarct volume, after including potential confounding variables. Results: We included 103 patients. Median age was 70 (58–78), and 63% were female. Median baseline-core-infarct volume was 32 ml (IQR 8–74.5). Seventy six patients (74%) had HOE. In a multivariate analysis both favorable HIR collaterals (p = 0.02) and HOE (p = 0.038) were associated with lower baseline-core-infarct volume. However, HOE significantly interacted with HIR (p = 0.01) to predict baseline-core-infarct volume, favorable collaterals (low HIR) with HOE was associated with small baseline-core-infarct whereas patients with poor collaterals (high HIR) and HOE had large baseline-core-infarct. Conclusion: While HOE under effective collateral blood-flow has the lowest baseline-core-infarct volume of all patients, the protective effect of HOE reverses under poor collateral blood-flow and may be a maladaptive response to ischemic stroke as measured by core infarctions in AIS-LVO patients undergoing MT triage.
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Affiliation(s)
- Adrien Guenego
- Interventional and Diagnostic Neuroradiology, Stanford Medical Center, Palo Alto, CA, United States
| | - Matthew Leipzig
- Interventional and Diagnostic Neuroradiology, Stanford Medical Center, Palo Alto, CA, United States
| | - Robert Fahed
- Division of Neurology, Department of Medicine, Ottawa Hospital, Ottawa, ON, Canada
| | - Eric S Sussman
- Interventional and Diagnostic Neuroradiology, Stanford Medical Center, Palo Alto, CA, United States
| | - Tobias D Faizy
- Interventional and Diagnostic Neuroradiology, Stanford Medical Center, Palo Alto, CA, United States
| | - Blake W Martin
- Interventional and Diagnostic Neuroradiology, Stanford Medical Center, Palo Alto, CA, United States
| | - David G Marcellus
- Interventional and Diagnostic Neuroradiology, Stanford Medical Center, Palo Alto, CA, United States
| | - Max Wintermark
- Interventional and Diagnostic Neuroradiology, Stanford Medical Center, Palo Alto, CA, United States
| | | | - Gregory W Albers
- Stanford Stroke Center, Stanford University School of Medicine, Stanford, CA, United States
| | - Maarten G Lansberg
- Stanford Stroke Center, Stanford University School of Medicine, Stanford, CA, United States
| | - Jeremy J Heit
- Interventional and Diagnostic Neuroradiology, Stanford Medical Center, Palo Alto, CA, United States
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79
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Dundamadappa S, Iyer K, Agrawal A, Choi DJ. Multiphase CT Angiography: A Useful Technique in Acute Stroke Imaging-Collaterals and Beyond. AJNR Am J Neuroradiol 2020; 42:221-227. [PMID: 33384289 DOI: 10.3174/ajnr.a6889] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Accepted: 08/21/2020] [Indexed: 11/07/2022]
Abstract
Multiphase CTA offers several important advantages over the traditional single-phase CTA technique in acute ischemic stroke, including improved detection of large-vessel occlusion, improved characterization of collateral status, improved tolerance of patient motion and poor hemodynamics, and higher interrater reliability. These benefits are gleaned at little additional cost in terms of time, risk to the patient, and capital expense. Existing data suggest that there are important benefits to using multiphase CTA in lieu of single-phase CTA in the initial vessel assessment of patients with acute stroke.
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Affiliation(s)
- S Dundamadappa
- From the Department of Radiology, University of Massachusetts Medical Center, Worcester, Massachusetts
| | - K Iyer
- From the Department of Radiology, University of Massachusetts Medical Center, Worcester, Massachusetts
| | - A Agrawal
- From the Department of Radiology, University of Massachusetts Medical Center, Worcester, Massachusetts
| | - D J Choi
- From the Department of Radiology, University of Massachusetts Medical Center, Worcester, Massachusetts.
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80
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Abstract
Ischaemic stroke is the second leading cause of mortality and disability in the western world. Revascularization interventions are the cornerstone of the acute treatment of this pathology and must be administered as soon as possible after the patient's arrival. They consist of intravenous thrombolysis (IVT) with alteplase, recommended by the guidelines within 4.5 h of the onset of symptoms, and endovascular treatment, recommended within 6 h of the onset of symptoms. The individualized patient selection based on the extent of the mismatch between the penumbra and the ischaemic core allowed to overcome the limits imposed by the rigid time windows, defining a benefit of mechanical revascularization therapies up to 24 h from the theoretical onset of symptoms (last time the patient was known to be well) and up to 9 h for IVT since the theoretical onset of symptoms (last time the patient was known to be well). Advanced neuroimaging methods with perfusion studies are a fundamental tool in patient selection. Their spread in the territory, together with a greater availability of neurovascular treatment units are desirable to ensure a fair delivery of treatment to all patients with ischaemic stroke.
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Affiliation(s)
- Angela Risitano
- Department of Human Neurosciences, “La Sapienza” University, Rome, Italy
| | - Danilo Toni
- Department of Human Neurosciences, “La Sapienza” University, Rome, Italy
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81
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Rao VL, Mlynash M, Christensen S, Yennu A, Kemp S, Zaharchuk G, Heit JJ, Marks MP, Lansberg MG, Albers GW. Collateral status contributes to differences between observed and predicted 24-h infarct volumes in DEFUSE 3. J Cereb Blood Flow Metab 2020; 40:1966-1974. [PMID: 32423329 PMCID: PMC7786839 DOI: 10.1177/0271678x20918816] [Citation(s) in RCA: 61] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
We previously demonstrated that in the DEFUSE 3 trial, the union of the baseline core and the 24-h Tmax > 6 s perfusion lesion predicts the infarct volume at 24 h. Presently, we assessed if collateral robustness measured by the hypoperfusion intensity ratio (HIR) and cerebral blood volume (CBV) index accounts for the variance in these predictions. DEFUSE 3 patients underwent MRI/CT perfusion imaging at baseline and 24 h post-randomization. We compared baseline and follow-up HIR and CBV index across subgroups stratified by differences between predicted and observed 24-h infarct volumes. Of 123 eligible patients, 34 with 24-h infarcts larger than predicted had less favorable collaterals at baseline (HIR 0.43 vs. 0.32, p = 0.006; CBV Index 0.78 vs. 0.85, p = 0.001) and 24 h (HIR 0.56 vs. 0.07, p = 0.004; CBV Index 0.47 vs. 0.73, p = 0.006) compared to 71 patients with more accurate infarct volume prediction. Eighteen patients with 24-h infarcts smaller than predicted had similar baseline collateral scores but more favorable 24-h CBV indices (0.81 vs. 0.73, p = 0.040). Overall, patients with 24-h infarcts larger than predicted had evidence of less favorable baseline collaterals that fail within 24 h, while patients with 24-h infarcts smaller than predicted typically had favorable collaterals that persisted for 24 h.
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Affiliation(s)
- Vaishnavi L Rao
- 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
| | - Søren Christensen
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Amarnath Yennu
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Stephanie Kemp
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Greg Zaharchuk
- 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
| | - Michael P Marks
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - 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
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82
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Ravindran AV, Killingsworth MC, Bhaskar S. Cerebral collaterals in acute ischaemia: Implications for acute ischaemic stroke patients receiving reperfusion therapy. Eur J Neurosci 2020; 53:1238-1261. [PMID: 32871623 DOI: 10.1111/ejn.14955] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Revised: 08/20/2020] [Accepted: 08/22/2020] [Indexed: 12/21/2022]
Abstract
The cerebral collaterals play an important role in penumbral tissue sustenance after an acute ischaemic stroke. Recent studies have demonstrated the potential role of collaterals in the selection of acute ischaemic stroke patients eligible for reperfusion therapy. However, the understanding of the significance and evidence around the role of collateral status in predicting outcomes in acute ischaemic stroke patients treated with reperfusion therapy is still unclear. Moreover, the use of pre-treatment collaterals in patient selection and prognosis is relatively underappreciated in clinical settings. A focused review of the literature was performed on the various methods of collateral evaluation and the role of collateral status in acute ischaemic stroke patients receiving reperfusion therapy. We discuss the methods of evaluating pre-treatment collaterals in clinical settings. The patient selection based on collateral status as well as the prognostic and therapeutic value of collaterals in acute ischaemic stroke, in settings of intravenous thrombolysis or endovascular therapy alone, and bridge therapy, are summarized. Recommendations for future research and possible pharmacological intervention strategies aimed at collateral enhancement are also discussed. Collaterals may play an important role in identifying acute ischaemic stroke patients who are likely to benefit from endovascular treatment in an extended time window. Future neuroscientific efforts to better improve our understanding of the role of collaterals in acute ischaemia as well as clinical studies to delineate its role in patient selection and acute stroke prognosis are warranted.
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Affiliation(s)
- Abina Vishni Ravindran
- South Western Sydney Clinical School, University of New South Wales (UNSW), Sydney, NSW, Australia.,Neurovascular Imaging Laboratory, Clinical Sciences Stream, Ingham Institute for Applied Medical Research, Sydney, NSW, Australia.,Thrombolysis and Endovascular WorkFLOw Network (TEFLON), Sydney, NSW, Australia
| | - Murray C Killingsworth
- South Western Sydney Clinical School, University of New South Wales (UNSW), Sydney, NSW, Australia.,NSW Brain Clot Bank, NSW Health Statewide Biobank and NSW Health Pathology, Sydney, NSW, Australia.,Correlative Microscopy Facility, Ingham Institute for Applied Medical Research and Department of Anatomical Pathology, NSW Health Pathology and Liverpool Hospital, Liverpool, NSW, Australia
| | - Sonu Bhaskar
- South Western Sydney Clinical School, University of New South Wales (UNSW), Sydney, NSW, Australia.,Department of Neurology & Neurophysiology, Liverpool Hospital & South West Sydney Local Health District (SWSLHD), Sydney, NSW, Australia.,Neurovascular Imaging Laboratory, Clinical Sciences Stream, Ingham Institute for Applied Medical Research, Sydney, NSW, Australia.,Stroke & Neurology Research Group, Ingham Institute for Applied Medical Research, Sydney, NSW, Australia.,NSW Brain Clot Bank, NSW Health Statewide Biobank and NSW Health Pathology, Sydney, NSW, Australia.,Thrombolysis and Endovascular WorkFLOw Network (TEFLON), Sydney, NSW, Australia
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83
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Qian J, Fan L, Zhang W, Wang J, Qiu J, Wang Y. A meta-analysis of collateral status and outcomes of mechanical thrombectomy. Acta Neurol Scand 2020; 142:191-199. [PMID: 32342996 DOI: 10.1111/ane.13255] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Revised: 04/19/2020] [Accepted: 04/23/2020] [Indexed: 12/13/2022]
Abstract
OBJECTIVES To perform a systematic review and meta-analysis to investigate pretreatment collaterals and outcomes of mechanical thrombectomy in patients with acute ischemic stroke of large-vessel occlusion in anterior circulation. METHODS We systematically searched Embase, PubMed, and the Cochrane Library from their dates of inception to March 5, 2020, and also manually searched reference lists of relevant articles. Pooled relative risk with 95% confidence interval on the association between good collaterals and functional independence (in terms of mRS 0-2), symptomatic intracranial hemorrhage, mortality, and successful reperfusion were synthesized using a random-effects model. RESULTS Thirty-four studies enrolling 5768 patients were included in analysis. Good collaterals were significantly associated with functional independence (RR 1.93, 95%CI 1.64-2.27, P < .0001), successful reperfusion (RR 1.23, 95%CI 1.12-1.35, P < .0001), decreased rate of symptomatic intracranial hemorrhage (RR 0.68, 95%CI 0.47-0.97, P = .032), and mortality (RR 0.37, 95%CI 0.27-0.52, P < .0001). The results were consistent in sensitivity analysis. The associations between good collaterals and reperfusion remained stable after adjusting for publication bias. CONCLUSIONS Good pretreatment collaterals were associated with functional independence, successful reperfusion, and decreased rate of sICH and mortality after receiving mechanical thrombectomy in patients with acute ischemic stroke of large-vessel occlusion.
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Affiliation(s)
- Jiacheng Qian
- Department of Neurology Cerebrovascular Disease Center People's HospitalChina Medical University Shenyang China
- China Medical University Shenyang China
| | - Lu Fan
- Department of Neurology Cerebrovascular Disease Center People's HospitalChina Medical University Shenyang China
- Dalian Medical University Dalian China
| | - Weiqing Zhang
- Department of Neurology Cerebrovascular Disease Center People's HospitalChina Medical University Shenyang China
- Dalian Medical University Dalian China
| | - Jian Wang
- Department of Neurology Cerebrovascular Disease Center People's HospitalChina Medical University Shenyang China
| | - Jianting Qiu
- Department of Neurology Cerebrovascular Disease Center People's HospitalChina Medical University Shenyang China
| | - Yujie Wang
- Department of Neurology Cerebrovascular Disease Center People's HospitalChina Medical University Shenyang China
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84
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Al-Dasuqi K, Payabvash S, Torres-Flores GA, Strander SM, Nguyen CK, Peshwe KU, Kodali S, Silverman A, Malhotra A, Johnson MH, Matouk CC, Schindler JL, Sansing LH, Falcone GJ, Sheth KN, Petersen NH. Effects of Collateral Status on Infarct Distribution Following Endovascular Therapy in Large Vessel Occlusion Stroke. Stroke 2020; 51:e193-e202. [PMID: 32781941 DOI: 10.1161/strokeaha.120.029892] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND AND PURPOSE We aim to examine effects of collateral status and post-thrombectomy reperfusion on final infarct distribution and early functional outcome in patients with anterior circulation large vessel occlusion ischemic stroke. METHODS Patients with large vessel occlusion who underwent endovascular intervention were included in this study. All patients had baseline computed tomography angiography and follow-up magnetic resonance imaging. Collateral status was graded according to the criteria proposed by Miteff et al and reperfusion was assessed using the modified Thrombolysis in Cerebral Infarction (mTICI) system. We applied a multivariate voxel-wise general linear model to correlate the distribution of final infarction with collateral status and degree of reperfusion. Early favorable outcome was defined as a discharge modified Rankin Scale score ≤2. RESULTS Of the 283 patients included, 129 (46%) had good, 97 (34%) had moderate, and 57 (20%) had poor collateral status. Successful reperfusion (mTICI 2b/3) was achieved in 206 (73%) patients. Poor collateral status was associated with infarction of middle cerebral artery border zones, whereas worse reperfusion (mTICI scores 0-2a) was associated with infarction of middle cerebral artery territory deep white matter tracts and the posterior limb of the internal capsule. In multivariate regression models, both mTICI (P<0.001) and collateral status (P<0.001) were among independent predictors of final infarct volumes. However, mTICI (P<0.001), but not collateral status (P=0.058), predicted favorable outcome at discharge. CONCLUSIONS In this cohort of patients with large vessel occlusion stroke, both the collateral status and endovascular reperfusion were strongly associated with middle cerebral artery territory final infarct volumes. Our findings suggesting that baseline collateral status predominantly affected middle cerebral artery border zones infarction, whereas higher mTICI preserved deep white matter and internal capsule from infarction; may explain why reperfusion success-but not collateral status-was among the independent predictors of favorable outcome at discharge. Infarction of the lentiform nuclei was observed regardless of collateral status or reperfusion success.
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Affiliation(s)
- Khalid Al-Dasuqi
- Division of Neuroradiology (K.A.-D., S.P., G.A.T.-F., A.M., M.H.J.), Yale University School of Medicine, New Haven, CT
| | - Seyedmehdi Payabvash
- Division of Neuroradiology (K.A.-D., S.P., G.A.T.-F., A.M., M.H.J.), Yale University School of Medicine, New Haven, CT
| | - Gerardo A Torres-Flores
- Division of Neuroradiology (K.A.-D., S.P., G.A.T.-F., A.M., M.H.J.), Yale University School of Medicine, New Haven, CT
| | - Sumita M Strander
- Department of Radiology and Biomedical Imaging, Division of Neurocritical Care and Emergency Neurology, Department of Neurology (S.M.S., C.K.N., K.U.P., S.K., A.S., G.J.F., K.N.S., N.H.P.), Yale University School of Medicine, New Haven, CT
| | - Cindy Khanh Nguyen
- Department of Radiology and Biomedical Imaging, Division of Neurocritical Care and Emergency Neurology, Department of Neurology (S.M.S., C.K.N., K.U.P., S.K., A.S., G.J.F., K.N.S., N.H.P.), Yale University School of Medicine, New Haven, CT
| | - Krithika U Peshwe
- Department of Radiology and Biomedical Imaging, Division of Neurocritical Care and Emergency Neurology, Department of Neurology (S.M.S., C.K.N., K.U.P., S.K., A.S., G.J.F., K.N.S., N.H.P.), Yale University School of Medicine, New Haven, CT
| | - Sreeja Kodali
- Department of Radiology and Biomedical Imaging, Division of Neurocritical Care and Emergency Neurology, Department of Neurology (S.M.S., C.K.N., K.U.P., S.K., A.S., G.J.F., K.N.S., N.H.P.), Yale University School of Medicine, New Haven, CT
| | - Andrew Silverman
- Department of Radiology and Biomedical Imaging, Division of Neurocritical Care and Emergency Neurology, Department of Neurology (S.M.S., C.K.N., K.U.P., S.K., A.S., G.J.F., K.N.S., N.H.P.), Yale University School of Medicine, New Haven, CT
| | - Ajay Malhotra
- Division of Neuroradiology (K.A.-D., S.P., G.A.T.-F., A.M., M.H.J.), Yale University School of Medicine, New Haven, CT
| | - Michele H Johnson
- Division of Neuroradiology (K.A.-D., S.P., G.A.T.-F., A.M., M.H.J.), Yale University School of Medicine, New Haven, CT
| | - Charles C Matouk
- Division of Neurovascular Surgery, Department of Neurosurgery (C.C.M.), Yale University School of Medicine, New Haven, CT
| | - Joseph L Schindler
- Division of Vascular Neurology, Department of Neurology (J.L.S., L.H.S.), Yale University School of Medicine, New Haven, CT
| | - Lauren H Sansing
- Division of Vascular Neurology, Department of Neurology (J.L.S., L.H.S.), Yale University School of Medicine, New Haven, CT
| | - Guido J Falcone
- Department of Radiology and Biomedical Imaging, Division of Neurocritical Care and Emergency Neurology, Department of Neurology (S.M.S., C.K.N., K.U.P., S.K., A.S., G.J.F., K.N.S., N.H.P.), Yale University School of Medicine, New Haven, CT
| | - Kevin N Sheth
- Department of Radiology and Biomedical Imaging, Division of Neurocritical Care and Emergency Neurology, Department of Neurology (S.M.S., C.K.N., K.U.P., S.K., A.S., G.J.F., K.N.S., N.H.P.), Yale University School of Medicine, New Haven, CT
| | - Nils H Petersen
- Department of Radiology and Biomedical Imaging, Division of Neurocritical Care and Emergency Neurology, Department of Neurology (S.M.S., C.K.N., K.U.P., S.K., A.S., G.J.F., K.N.S., N.H.P.), Yale University School of Medicine, New Haven, CT
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85
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Dehkharghani S, Yaghi S, Bowen MT, Pisani L, Scher E, Haussen DC, Nogueira RG. Mild fever as a catalyst for consumption of the ischaemic penumbra despite endovascular reperfusion. Brain Commun 2020; 2:fcaa116. [PMID: 33033801 PMCID: PMC7532660 DOI: 10.1093/braincomms/fcaa116] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Revised: 05/18/2020] [Accepted: 06/23/2020] [Indexed: 11/26/2022] Open
Abstract
Cerebrovascular ischaemia is potentiated by hyperthermia, and even mild temperature elevation has proved detrimental to ischaemic brain. Infarction progression following endovascular reperfusion relates to multiple patient-specific and procedural variables; however, the potential influence of mild systemic temperature fluctuations is not fully understood. This study aims to assess the relationship between systemic temperatures in the early aftermath of acute ischaemic stroke and the loss of at-risk penumbral tissues, hypothesizing consumption of the ischaemic penumbra as a function of systemic temperatures, irrespective of reperfusion status. A cross-sectional, retrospective evaluation of a single-institution, prospectively collected endovascular therapy registry was conducted. Patients with anterior circulation, large vessel occlusion acute ischaemic stroke who underwent initial CT perfusion, and in whom at least four-hourly systemic temperatures were recorded beginning from presentation and until the time of final imaging outcome were included. Initial CT perfusion core and penumbra volumes and final MRI infarction volumes were computed. Systemic temperature indices including temperature maxima were recorded, and pre-defined temperature thresholds varying between 37°C and 38°C were examined in unadjusted and adjusted regression models which included glucose, collateral status, reperfusion status, CT perfusion-to-reperfusion delay, general anaesthesia and antipyretic exposure. The primary outcome was the relative consumption of the penumbra, reflecting normalized growth of the at-risk tissue volume ≥10%. The final study population comprised 126 acute ischaemic stroke subjects (mean 63 ± 14.5 years, 63% women). The primary outcome of penumbra consumption ≥10% occurred in 51 (40.1%) subjects. No significant differences in baseline characteristics were present between groups, with the exception of presentation glucose (118 ± 26.6 without versus 143.1 ± 61.6 with penumbra consumption, P = 0.009). Significant differences in the likelihood of penumbra consumption relating to systemic temperature maxima were observed [37°C (interquartile range 36.5 − 37.5°C) without versus 37.5°C (interquartile range 36.8 − 38.2°C) with penumbra consumption, P = 0.001]. An increased likelihood of penumbra consumption was observed for temperature maxima in unadjusted (odds ratio 3.57, 95% confidence interval 1.65 − 7.75; P = 0.001) and adjusted (odds ratio 3.06, 95% confidence interval 1.33 − 7.06; P = 0.009) regression models. Significant differences in median penumbra consumption were present at a pre-defined temperature maxima threshold of 37.5°C [4.8 ml (interquartile range 0 − 11.5 ml) versus 21.1 ml (0 − 44.7 ml) for subjects not reaching or reaching the threshold, respectively, P = 0.007]. Mild fever may promote loss of the ischaemic penumbra irrespective of reperfusion, potentially influencing successful salvage of at-risk tissue volumes following acute ischaemic stroke.
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Affiliation(s)
- Seena Dehkharghani
- Department of Radiology, New York University Langone Health, New York, NY, USA
| | - Shadi Yaghi
- Department of Neurology, New York University Langone Health, New York, NY, USA
| | - Meredith T Bowen
- Department of Neurology, Johns Hopkins University, Baltimore, MD, USA
| | - Leonardo Pisani
- Department of Neurology, Emory University Hospital, Atlanta, GA, USA
| | - Erica Scher
- Department of Neurology, New York University Langone Health, New York, NY, USA
| | - Diogo C Haussen
- Department of Neurology, Emory University Hospital, Atlanta, GA, USA.,Department of Neurology, Marcus Stroke and Neuroscience Center, Grady Memorial Hospital, Atlanta, GA 30303, USA
| | - Raul G Nogueira
- Department of Neurology, Emory University Hospital, Atlanta, GA, USA.,Department of Neurology, Marcus Stroke and Neuroscience Center, Grady Memorial Hospital, Atlanta, GA 30303, USA
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86
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Heit JJ, Mlynash M, Christensen S, Kemp SM, Lansberg MG, Marks MP, Olivot JM, Gregory AW. What predicts poor outcome after successful thrombectomy in late time windows? J Neurointerv Surg 2020; 13:421-425. [PMID: 32554693 DOI: 10.1136/neurintsurg-2020-016125] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2020] [Revised: 05/20/2020] [Accepted: 05/22/2020] [Indexed: 11/04/2022]
Abstract
BACKGROUND Thrombectomy for acute ischemic stroke treatment leads to improved outcomes, but many patients do not achieve a good outcome despite successful reperfusion. We determined predictors of poor outcome after successful thrombectomy (TICI 2b-3) with an emphasis on modifiable factors. METHODS Patients from the randomized DEFUSE 3 trial who underwent thrombectomy with TICI 2b-3 revascularization were included. Primary outcome was a poor outcome at 90 days (modified Rankin Scale score 3-6). RESULTS 70 patients were included. Poor outcome patients were older (73.5 vs 66.5 years; P=0.01), more likely to be female (68% vs 39%; P=0.02), had higher NIHSS scores (20 vs 13; P<0.001), and had poor cerebral perfusion collaterals (hypoperfusion intensity ratio) (median 0.45 vs 0.38; P=0.03). Following thrombectomy, poor outcome patients had larger 24 hour' core infarctions (median 59.5 vs 29.9 mL; P=0.01), more core infarction growth (median 33.6 vs 13.4 mL; P<0.001), and more mild (65% vs 50%; P=0.02) and severe (18% vs 0%; P=0.01) reperfusion hemorrhage. In a logistic regression analysis, the presence of any reperfusion hemorrhage (OR 3.3 [95% CI, 1.67 to 5]; P=0.001), age (OR 1.1 [95% CI, 1.03 to 1.11], P=0.004), higher NIHSS (OR 1.25 [95% CI, 1.07 to 1.41], P=0.002), and time from imaging to femoral artery puncture (OR 5 [95% CI, 1.16 to 16.67], P=0.03) independently predicted poor outcomes. CONCLUSIONS In late time windows, both mild and severe reperfusion hemorrhage were associated with poor outcomes. Older age, higher NIHSS, and increased time from imaging to arterial puncture were also associated with poor outcomes despite successful revascularization. TRIAL REGISTRATION https://clinicaltrials.gov/ct2/show/NCT02586415.
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Affiliation(s)
- Jeremy J Heit
- Department of Radiology, Stanford University, Stanford, California, USA
| | - Michael Mlynash
- Department of Neurology, Stanford University, Stanford, California, USA
| | - Soren Christensen
- Department of Neurology, Stanford University, Stanford, California, USA
| | - Stephanie M Kemp
- Department of Neurology, Stanford University, Stanford, California, USA
| | | | - Michael P Marks
- Department of Radiology, Stanford University, Stanford, California, USA
| | - Jean-Marc Olivot
- Vascular Neurology, Stroke Department, Toulouse University Hospital, Toulouse, France
| | - Albers W Gregory
- Department of Neurology, Stanford University, Stanford, California, USA
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87
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Li Z, Lindner DP, Bishop NM, Cipolla MJ. ACE (Angiotensin-Converting Enzyme) Inhibition Reverses Vasoconstriction and Impaired Dilation of Pial Collaterals in Chronic Hypertension. Hypertension 2020; 76:226-235. [PMID: 32418498 DOI: 10.1161/hypertensionaha.119.14315] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Leptomeningeal anastomoses (LMAs) are pial collaterals that perfuse the penumbra and important for stroke outcome. We previously showed LMAs from SHRs (spontaneously hypertensive rats) were vasoconstricted compared with normotensive Wistar rats. Here, we investigated mechanisms by which hypertension causes LMA vasoconstriction. SHRs were treated with the ACE (angiotensin-converting enzyme) inhibitor captopril, an Ang II (angiotensin II)-independent antihypertensive agent hydralazine, or vehicle for 5 weeks in drinking water (n=8/group). A group of Wistar rats (n=8) had regular drinking water served as controls. Blood pressure was measured twice weekly by tail-cuff. LMAs were isolated and studied under pressurized conditions. Vasoreactivity of LMAs, including myogenic responses, reactivity to Rho-kinase inhibitor Y-27632, and nitric oxide were measured. Both captopril and hydralazine lowered blood pressure in SHRs similar to Wistar. However, only captopril normalized LMA increased tone compared with untreated SHRs (15±2% versus 50±3%; P<0.01) that was similar to Wistar (16±2%) but not hydralazine (38±6%; P>0.05). Vasodilatory response of LMAs to Y-27632 was impaired in SHRs compared with Wistar (28±3% versus 81±4%; P<0.01) that was restored by captopril (84±5%; P<0.01) and partially hydralazine (59±4%). LMAs from all groups constricted similarly to NOS (NO synthase) inhibition; however, the vasodilatory response of LMAs to the nitric oxide donor sodium nitroprusside was impaired in SHRs compared with Wistar rats (29±4% versus 80±2%; P<0.01) that was restored by captopril (84±4%; P<0.01), not hydralazine (38±8%; P>0.05). These results suggest that ACE inhibition during chronic hypertension reversed vascular dysfunction and hyperconstriction of LMAs that could improve stroke outcome by increasing collateral perfusion.
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Affiliation(s)
- Zhaojin Li
- From the Department of Neurological Sciences (Z.L., D.P.L., M.J.C.), University of Vermont Robert Larner College of Medicine, Burlington
| | - Devon P Lindner
- From the Department of Neurological Sciences (Z.L., D.P.L., M.J.C.), University of Vermont Robert Larner College of Medicine, Burlington
| | - Nicole M Bishop
- Department of Pathology (N.M.B.), University of Vermont Robert Larner College of Medicine, Burlington
| | - Marilyn J Cipolla
- From the Department of Neurological Sciences (Z.L., D.P.L., M.J.C.), University of Vermont Robert Larner College of Medicine, Burlington.,Department of Obstetrics, Gynecology, and Reproductive Sciences (M.J.C.), University of Vermont Robert Larner College of Medicine, Burlington.,Department of Pharmacology (M.J.C.), University of Vermont Robert Larner College of Medicine, Burlington
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88
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Mohammaden MH, Haussen DC, Pisani L, Al-Bayati AR, Perry da Camara C, Bhatt N, Belagaje SR, Liberato BB, Bianchi N, Anderson AM, Frankel MR, Nogueira RG. Baseline ASPECTS and hypoperfusion intensity ratio influence the impact of first pass reperfusion on functional outcomes. J Neurointerv Surg 2020; 13:124-129. [PMID: 32381523 DOI: 10.1136/neurintsurg-2020-015953] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Revised: 04/07/2020] [Accepted: 04/08/2020] [Indexed: 11/03/2022]
Abstract
BACKGROUND First pass reperfusion (FPR) has been established as a key performance metric in mechanical thrombectomy (MT). The impact of FPR may be more relevant in fast progressors. We aim to study the impact of baseline Alberta Stroke Program Early CT Score (ASPECTS) on non-contrast CT and hypoperfusion intensity ratio (HIR) on CT perfusion on clinical outcomes after FPR. METHODS A prospective MT database was reviewed for patients with isolated occlusion of the intracranial internal carotid artery and/or middle cerebral artery M1 segment who underwent MT with complete reperfusion (modified Thrombolyis in Cerebral Infarction score 2c-3) from January 2012 to May 2019. The overall population was divided into ASPECTS >7 versus ≤7 and the subgroup of patients with baseline CT perfusion was divided into HIR <0.3 versus ≥0.3. Univariable and multivariable analyses were performed to establish the predictors of 90-day functional independence (modified Rankin Scale (mRS) ≤2) in each subgroup. RESULTS A total of 436 patients were included in the analyses. FPR was achieved in 254 (58.3%) patients. ASPECTS modified the effect of FPR on clinical outcomes, with FPR predicting good outcomes in patients with ASPECTS ≤7 (46% vs 29%, adjusted OR 3.748; 95% CI 1.590 to 8.838, p=0.003) while no significant effect was detected in those with ASPECTS >7 (62.3% vs 53.1%, adjusted OR 1.372; 95% CI 0.798 to 2.358, p=0.25). Similarly, FPR predicted good outcomes in patients with HIR ≥0.3 (54.8% vs 41.9%, adjusted OR 2.204; 95% CI 1.148 to 4.233, p=0.01) but not in those with HIR <0.3 (62.9% vs 52.8%, adjusted OR 1.524; 95% CI 0.592 to 3.920, p=0.38). CONCLUSIONS The impact of FPR on functional outcomes is highly dependent on baseline imaging characteristics, with a more prominent influence in patients presenting with lower ASPECTS and/or higher HIR.
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Affiliation(s)
- Mahmoud H Mohammaden
- Department of Neurology, Emory University School of Medicine, Atlanta, Georgia, USA.,Marcus Stroke & Neuroscience Center, Grady Memorial Hospital, Atlanta, Georgia, USA
| | - Diogo C Haussen
- Department of Neurology, Emory University School of Medicine, Atlanta, Georgia, USA.,Marcus Stroke & Neuroscience Center, Grady Memorial Hospital, Atlanta, Georgia, USA
| | - Leonardo Pisani
- Department of Neurology, Emory University School of Medicine, Atlanta, Georgia, USA.,Marcus Stroke & Neuroscience Center, Grady Memorial Hospital, Atlanta, Georgia, USA
| | - Alhamza R Al-Bayati
- Department of Neurology, Emory University School of Medicine, Atlanta, Georgia, USA.,Marcus Stroke & Neuroscience Center, Grady Memorial Hospital, Atlanta, Georgia, USA
| | - Catarina Perry da Camara
- Department of Neurology, Emory University School of Medicine, Atlanta, Georgia, USA.,Marcus Stroke & Neuroscience Center, Grady Memorial Hospital, Atlanta, Georgia, USA
| | - Nirav Bhatt
- Department of Neurology, Emory University School of Medicine, Atlanta, Georgia, USA.,Marcus Stroke & Neuroscience Center, Grady Memorial Hospital, Atlanta, Georgia, USA
| | - Samir R Belagaje
- Department of Neurology, Emory University School of Medicine, Atlanta, Georgia, USA.,Marcus Stroke & Neuroscience Center, Grady Memorial Hospital, Atlanta, Georgia, USA
| | - Bernardo Boaventura Liberato
- Department of Neurology, Emory University School of Medicine, Atlanta, Georgia, USA.,Marcus Stroke & Neuroscience Center, Grady Memorial Hospital, Atlanta, Georgia, USA
| | - Nicolas Bianchi
- Department of Neurology, Emory University School of Medicine, Atlanta, Georgia, USA.,Marcus Stroke & Neuroscience Center, Grady Memorial Hospital, Atlanta, Georgia, USA
| | - Aaron M Anderson
- Department of Neurology, Emory University School of Medicine, Atlanta, Georgia, USA.,Marcus Stroke & Neuroscience Center, Grady Memorial Hospital, Atlanta, Georgia, USA
| | - Michael R Frankel
- Department of Neurology, Emory University School of Medicine, Atlanta, Georgia, USA.,Marcus Stroke & Neuroscience Center, Grady Memorial Hospital, Atlanta, Georgia, USA
| | - Raul G Nogueira
- Department of Neurology, Emory University School of Medicine, Atlanta, Georgia, USA .,Marcus Stroke & Neuroscience Center, Grady Memorial Hospital, Atlanta, Georgia, USA
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89
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Guenego A, Fahed R, Albers GW, Kuraitis G, Sussman ES, Martin BW, Marcellus DG, Olivot J, Marks MP, Lansberg MG, Wintermark M, Heit JJ. Hypoperfusion intensity ratio correlates with angiographic collaterals in acute ischaemic stroke with M1 occlusion. Eur J Neurol 2020; 27:864-870. [DOI: 10.1111/ene.14181] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Accepted: 02/13/2020] [Indexed: 11/28/2022]
Affiliation(s)
- A. Guenego
- Interventional and Diagnostic Neuroradiology Stanford Medical Center Stanford CA USA
| | - R. Fahed
- Department of Medicine Division of Neurology Ottawa Hospital Ottawa ON Canada
| | - G. W. Albers
- Stanford Stroke Center Stanford University School of Medicine Stanford CA USA
| | - G. Kuraitis
- Interventional and Diagnostic Neuroradiology Stanford Medical Center Stanford CA USA
| | - E. S. Sussman
- Interventional and Diagnostic Neuroradiology Stanford Medical Center Stanford CA USA
| | - B. W. Martin
- Interventional and Diagnostic Neuroradiology Stanford Medical Center Stanford CA USA
| | - D. G. Marcellus
- Interventional and Diagnostic Neuroradiology Stanford Medical Center Stanford CA USA
| | | | - M. P. Marks
- Interventional and Diagnostic Neuroradiology Stanford Medical Center Stanford CA USA
| | - M. G. Lansberg
- Stanford Stroke Center Stanford University School of Medicine Stanford CA USA
| | - M. Wintermark
- Interventional and Diagnostic Neuroradiology Stanford Medical Center Stanford CA USA
| | - J. J. Heit
- Interventional and Diagnostic Neuroradiology Stanford Medical Center Stanford CA USA
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90
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Ospel JM, Volny O, Qiu W, Najm M, Kashani N, Goyal M, Menon BK. Displaying Multiphase CT Angiography Using a Time-Variant Color Map: Practical Considerations and Potential Applications in Patients with Acute Stroke. AJNR Am J Neuroradiol 2020; 41:200-205. [PMID: 31919139 DOI: 10.3174/ajnr.a6376] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Accepted: 11/19/2019] [Indexed: 11/07/2022]
Abstract
Various imaging protocols exist for the identification of vessel occlusion and assessment of collateral flow in acute stroke. CT perfusion is particularly popular because the color maps are a striking visual indicator of pathology. Multiphase CTA has similar diagnostic and prognostic ability but requires more expertise to interpret. This article presents a new multiphase CTA display format that incorporates vascular information from all phases of the multiphase CTA series in a single time-variant color map, thereby facilitating multiphase CTA interpretation, particularly for less experienced readers. Exemplary cases of multiphase CTA from this new display format are compared with conventional multiphase CTA, CT perfusion, and follow-up imaging to demonstrate how time-variant multiphase CTA color maps facilitate assessment of collateral flow, detection of distal and multiple intracranial occlusions, differentiation of pseudo-occlusion from real occlusion, and assessment of flow relevance of stenoses, ante- and retrograde flow patterns, and clot permeability.
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Affiliation(s)
- J M Ospel
- From the Division of Neuroradiology, Clinic of Radiology and Nuclear Medicine (J.M.O.), University Hospital Basel, University of Basel, Basel, Switzerland.,Departments of Clinical Neurosciences (J.M.O., O.V., W.Q., M.N., M.G.)
| | - O Volny
- Departments of Clinical Neurosciences (J.M.O., O.V., W.Q., M.N., M.G.).,International Clinical Research Centre (O.V.), Stroke Research Program, St. Anne's University Hospital, Brno, Czech Republic
| | - W Qiu
- Departments of Clinical Neurosciences (J.M.O., O.V., W.Q., M.N., M.G.)
| | - M Najm
- Departments of Clinical Neurosciences (J.M.O., O.V., W.Q., M.N., M.G.)
| | - N Kashani
- Radiology (N.K., M.G.), University of Calgary, Calgary, Alberta, Canada
| | - M Goyal
- Departments of Clinical Neurosciences (J.M.O., O.V., W.Q., M.N., M.G.).,Radiology (N.K., M.G.), University of Calgary, Calgary, Alberta, Canada
| | - B K Menon
- Departments of Radiologyand Clinical Neurosciences, Radiology and Community Health Sciences (B.K.M.), Cumming School of Medicine, University of Calgary, Foothills Medical Centre, Calgary, Alberta, Canada.
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91
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Lee HK, Widmayer SJ, Huang MN, Aylor DL, Marchuk DA. Novel Neuroprotective Loci Modulating Ischemic Stroke Volume in Wild-Derived Inbred Mouse Strains. Genetics 2019; 213:1079-1092. [PMID: 31488517 PMCID: PMC6827375 DOI: 10.1534/genetics.119.302555] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2019] [Accepted: 08/30/2019] [Indexed: 11/18/2022] Open
Abstract
To identify genes involved in cerebral infarction, we have employed a forward genetic approach in inbred mouse strains, using quantitative trait loci (QTL) mapping for cerebral infarct volume after middle cerebral artery occlusion. We had previously observed that infarct volume is inversely correlated with cerebral collateral vessel density in most strains. In this study, we expanded the pool of allelic variation among classical inbred mouse strains by utilizing the eight founder strains of the Collaborative Cross and found a wild-derived strain, WSB/EiJ, that breaks this general rule that collateral vessel density inversely correlates with infarct volume. WSB/EiJ and another wild-derived strain, CAST/EiJ, show the highest collateral vessel densities of any inbred strain, but infarct volume of WSB/EiJ mice is 8.7-fold larger than that of CAST/EiJ mice. QTL mapping between these strains identified four new neuroprotective loci modulating cerebral infarct volume while not affecting collateral vessel phenotypes. To identify causative variants in genes, we surveyed nonsynonymous coding SNPs between CAST/EiJ and WSB/EiJ and found 96 genes harboring coding SNPs predicted to be damaging and mapping within one of the four intervals. In addition, we performed RNA-sequencing for brain tissue of CAST/EiJ and WSB/EiJ mice and identified 79 candidate genes mapping in one of the four intervals showing strain-specific differences in expression. The identification of the genes underlying these neuroprotective loci will provide new understanding of genetic risk factors of ischemic stroke, which may provide novel targets for future therapeutic intervention of human ischemic stroke.
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Affiliation(s)
- Han Kyu Lee
- Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, North Carolina 27710
| | - Samuel J Widmayer
- Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina 27695
| | - Min-Nung Huang
- Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, North Carolina 27710
| | - David L Aylor
- Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina 27695
| | - Douglas A Marchuk
- Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, North Carolina 27710
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92
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Chung JW, Kim BJ, Jeong HG, Seo WK, Kim GM, Jung C, Han MK, Bae HJ, Bang OY. Selection of Candidates for Endovascular Treatment: Characteristics According to Three Different Selection Methods. J Stroke 2019; 21:332-339. [PMID: 31590477 PMCID: PMC6780015 DOI: 10.5853/jos.2019.01578] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2019] [Accepted: 09/03/2019] [Indexed: 12/18/2022] Open
Abstract
Background and Purpose To investigate the number and characteristics of patients eligible for endovascular treatment (EVT) determined using three different selection methods: clinical-core mismatch, target mismatch, and collateral status.
Methods Using the data of consecutive patients from two prospectively maintained registries of university medical centers, the number and characteristics of patients according to the three selection methods were investigated and their correlation was analyzed. Patients with anterior circulation stroke due to occlusion of the middle cerebral and/or internal carotid artery and a National Institute of Health Stroke Scale (NIHSS) score of ≥6 points, who arrived within 8 hours or between 6 and 12 hours of symptom onset and underwent magnetic resonance imaging prior to EVT, were included. Collateral status was assessed using magnetic resonance perfusion-derived collateral flow maps.
Results Three hundred thirty-five patients were investigated; the proportions of patients who were eligible and ineligible for EVT in all three selection methods were both small (n=85, 25.4%; n=54, 16.1%, respectively). The intercorrelation among the three selection methods was low (κ=0.235). The baseline NIHSS score and onset-to-selection time interval were associated with the presence of clinical-core mismatch, while the penumbra/core volume ratio and onset-to-selection time interval were related to target mismatch; none of these variables were associated with collateral status. The infarct core volume was associated with favorable profiles in all three selection methods.
Conclusions Although the application of individual selection methods resulted in favorable outcomes after EVT in clinical trials, there is a significant discrepancy in EVT eligibility depending on the selection method used.
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Affiliation(s)
- Jong-Won Chung
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Beom Joon Kim
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Han-Gil Jeong
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Woo-Keun Seo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Gyeong-Moon Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Cheolkyu Jung
- Department of Radiology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Moon-Ku Han
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Hee-Joon Bae
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Oh Young Bang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
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93
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Yamamoto N, Yamamoto Y, Yamaguchi I, Ishihara M, Miyamoto T, Korai M, Shimada K, Kanematsu Y, Izumi Y, Takagi Y. Cone beam-computed tomography angiography by intravenous contrast injection is reliable to evaluate patients with large vessel occlusion. J Clin Neurosci 2019; 70:67-71. [PMID: 31445814 DOI: 10.1016/j.jocn.2019.08.078] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Accepted: 08/09/2019] [Indexed: 11/19/2022]
Abstract
PURPOSE Mechanical thrombectomy (MT) for acute ischemic stroke (AIS) patients due to emergent large vessel occlusion (ELVO) is standard treatment, the benefits, however, are highly time-sensitive. After patient eligibility for reperfusion therapy is determined by conventional radiological examinations, the time to be transferred from the department of radiological examination to angiography-suites is critical. We speculated that the time required for the diagnosis of AIS might be reduced if we could determine MT eligibility in patients with ELVO at angiography-suites. Modern angiography-suites with flat panel detectors can perform cone beam (CB)-CT. We performed CB-CTA using intravenous injection of contrast agent to evaluate occlusion sites, collateral score, and construction of vessels distal to occlusion sites and determined if CB-CTA could be useful to evaluate patients with ELVO. METHODS We included 15 patients with ELVO diagnosed by conventional MRI or CT/CTA, and investigated whether CB-CTA was reliable to diagnose occlusion sites. We also studied if collateral score on CB-CTA was associated with prognosis after successful reperfusion by MT by comparison between favorable (modified Rankin scale (mRS) 0-2), and unfavorable outcome group (mRS 3-6). RESULTS There was strong agreement of occlusion sites between CB-CTA and conventional radiological examination (κ = 0.80). Collateral score determined by CB-CTA was significantly different between favorable outcome and unfavorable outcome group (median collateral score 2.3 v.s. 1.3, p = 0.040). CONCLUSIONS Although prospective study of AIS patients at a radiography department is indispensable, CB-CTA performed in an angiography-suite might be useful to evaluate patients with ELVO.
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Affiliation(s)
- Nobuaki Yamamoto
- Department of Clinical Neurosciences, Institute of Medical Biosciences, Tokushima University, Tokushima, Japan.
| | - Yuki Yamamoto
- Department of Clinical Neurosciences, Institute of Medical Biosciences, Tokushima University, Tokushima, Japan
| | - Izumi Yamaguchi
- Department of Neurosurgery, Institute of Medical Biosciences, Tokushima University, Tokushima, Japan
| | - Manabu Ishihara
- Department of Neurosurgery, Institute of Medical Biosciences, Tokushima University, Tokushima, Japan
| | - Takeshi Miyamoto
- Department of Neurosurgery, Institute of Medical Biosciences, Tokushima University, Tokushima, Japan
| | - Masaaki Korai
- Department of Neurosurgery, Institute of Medical Biosciences, Tokushima University, Tokushima, Japan
| | - Kenji Shimada
- Department of Neurosurgery, Institute of Medical Biosciences, Tokushima University, Tokushima, Japan
| | - Yasuhisa Kanematsu
- Department of Neurosurgery, Institute of Medical Biosciences, Tokushima University, Tokushima, Japan
| | - Yuishin Izumi
- Department of Clinical Neurosciences, Institute of Medical Biosciences, Tokushima University, Tokushima, Japan
| | - Yasushi Takagi
- Department of Neurosurgery, Institute of Medical Biosciences, Tokushima University, Tokushima, Japan
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94
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Boulouis G, Baron JC, Benhassen W. Letter by Boulouis et al Regarding Article, “Results From DEFUSE 3: Good Collaterals Are Associated With Reduced Ischemic Core Growth but Not Neurologic Outcome”. Stroke 2019; 50:e165. [DOI: 10.1161/strokeaha.119.025505] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Grégoire Boulouis
- Neuroradiology Department, Centre Hospitalier Sainte Anne, UMR 1266 INSERM, Université René Descartes, Paris, France
| | - Jean Claude Baron
- Neurology Department, Centre Hospitalier Sainte Anne, UMR 1266 INSERM, Université René Descartes, Paris, France
| | - Wagih Benhassen
- Neuroradiology Department, Centre Hospitalier Sainte Anne, UMR 1266 INSERM, Université René Descartes, Paris, France
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95
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Pirson FAV, van Zwam WH, van Oostenbrugge RJ. Letter by Pirson et al Regarding Article, "Results From DEFUSE 3 Good Collaterals Are Associated With Reduced Ischemic Core Growth but Not Neurologic Outcome". Stroke 2019; 50:e164. [PMID: 31084329 DOI: 10.1161/strokeaha.119.025419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- F Anne V Pirson
- Department of Neurology, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Wim H van Zwam
- Department of Radiology, Maastricht University Medical Center, Maastricht, the Netherlands
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96
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de Havenon A, Albers GW, Heit JJ. Response by de Havenon et al to Letter Regarding Article, "Results From DEFUSE 3: Good Collaterals Are Associated With Reduced Ischemic Core Growth but Not Neurologic Outcome". Stroke 2019; 50:e166. [PMID: 31084323 DOI: 10.1161/strokeaha.119.025713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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