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Liu HY, Heit JJ, Yuen N, Yang CH, Mlynash M, Zamarud A, Lun R, Lansberg MG, Albers GW. Clinical and perfusion imaging characteristics of acute large vessel occlusion in intracranial atherosclerosis. J Stroke Cerebrovasc Dis 2024; 33:108024. [PMID: 39303867 DOI: 10.1016/j.jstrokecerebrovasdis.2024.108024] [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: 04/19/2024] [Revised: 09/03/2024] [Accepted: 09/17/2024] [Indexed: 09/22/2024] Open
Abstract
OBJECTIVES This study aimed to compare clinical and perfusion imaging profiles in acute ischemic stroke with large vessel occlusion (AIS-LVO) between patients with intracranial atherosclerotic disease (ICAD) and non-ICAD who underwent endovascular treatment (EVT). METHODS Data from AIS-LVO patients over the anterior circulation undergoing EVT across two stroke centers were retrospectively analyzed. Clinical profiles and perfusion parameters from automated processing of perfusion imaging were compared between ICAD and non-ICAD groups. Ischemic core was defined as relative cerebral blood flow < 30 % on CT perfusion or apparent diffusion coefficient ≤ 620 × 10-6 mm2/s on MR diffusion weighted imaging. RESULTS A total of 111 patients were included (46 ICAD, 65 non-ICAD). The ICAD group exhibited a higher male proportion (60.9 % vs. 35.4 %), more M1 segment occlusions (78.3 % vs. 56.9 %), lower atrial fibrillation rates (17.4 % vs. 63.1 %), and lower baseline NIH Stroke Scale (NIHSS) scores (median [IQR]: 13 [8.75-18] vs. 15 [10-21]) at presentation compared to non-ICAD (all p < 0.05). However, there was no difference in NIHSS scores at discharge or in good functional outcomes (modified Rankin Scale 0-2) at 3 months between the two groups. ICAD patients also had smaller median ischemic core volumes (0 [IQR 0-9.7] vs. 4.4 [0-21.6] ml, p = 0.038), smaller median Tmax >6s tissue volulmes (89.3 [IQR 51.1-147.1] vs. 124.4 [80.5-178.6] ml, p = 0.017) and lower median HIR (hypoperfusion intensity ratio defined as Tmax >10s divided by Tmax >6s; 0.28 [IQR 0.09-0.42] vs. 0.44 [0.24-0.60], p = 0.003). Higher baseline NIHSS scores correlated with larger Tmax >6s lesion volumes as well as higher HIR value in non-ICAD patients, but not in ICAD patients. CONCLUSIONS In anterior circulation of AIS-LVO, ICAD patients exhibited distinct clinical presentations and perfusion imaging characteristics when compared to non-ICAD patients. Perfusion imaging profiles may serve as indicators for identifying ICAD patients before EVT.
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Affiliation(s)
- Hung-Yu Liu
- Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan; School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
| | - Jeremy J Heit
- Department of Radiology, Stanford University School of Medicine, Palo Alto, California, USA
| | - Nicole Yuen
- Department of Neurology, Stanford University School of Medicine, Palo Alto, California, USA
| | - Chung-Han Yang
- Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Michael Mlynash
- Department of Neurology, Stanford University School of Medicine, Palo Alto, California, USA
| | - Aroosa Zamarud
- Department of Radiology, Stanford University School of Medicine, Palo Alto, California, USA
| | - Ronda Lun
- Department of Neurology, Stanford University School of Medicine, Palo Alto, California, USA
| | - Maarten G Lansberg
- Department of Neurology, Stanford University School of Medicine, Palo Alto, California, USA
| | - Gregory W Albers
- Department of Neurology, Stanford University School of Medicine, Palo Alto, California, USA
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Xie Z, Bi Y, Cheng Y, Huang Q, Ni H, Luo Y, Chen Z, Duan G, Xu Y, Zhang Q. Predictive value of white matter hyperintensity burden combined with collateral circulation in mechanical thrombectomy for acute anterior circulation large vessel occlusion. Brain Res 2024; 1846:149231. [PMID: 39270997 DOI: 10.1016/j.brainres.2024.149231] [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: 01/16/2024] [Revised: 07/16/2024] [Accepted: 09/05/2024] [Indexed: 09/15/2024]
Abstract
OBJECTIVE To investigate the correlation and predictive value of white matter hyperintensity (WMH) burden in conjunction with collateral circulation during mechanical thrombectomy (MT) for acute anterior circulation occlusion. METHODS A database comprising consecutive registrations of patients who underwent mechanical thrombectomy for acute anterior circulation large vessel occlusive cerebral infarction at Nanjing Drum Tower Hospital from January 2018 to December 2021 was analyzed. Collateral circulation was assessed using the American Society of Interventional and Therapeutic Neuroradiology/Society of Interventional Radiology (ASITN/SIR) scoring criteria. The good collateral group included ASITN/SIR grades 3 and 4, while the poor collateral group included grades 1 and 2. Additionally, white matter hyperintensity burden was evaluated using white matter hyperintensity volume and the Fazekas scoring system. A favorable functional outcome was defined as a modified Rankin scale (mRS) of 0-2 at 90 days. Multivariable logistic regression analyses and Spearman correlation analysis were employed to assess the correlation between white matter hyperintensity burden and unfavorable outcomes in mechanical thrombectomy. RESULTS A total of 123 patients who underwent mechanical thrombectomy for acute anterior circulation occlusion were included (56.9 % male). Favorable outcomes were observed in 45.5 % (56/123) of cases. Those with a low ASITN/SIR scale (r = -1.33, 95 % CI: 0.26 (0.09-0.78), P=0.01; cutoff value = 2.5), low low-density lipoprotein cholesterol (LDL-C) level (r = -1.00, 95 % CI: 0.37 (0.15-0.92), P=0.03; cutoff value = 2.26), and high white matter hyperintense volume (r = 0.28, 95 % CI: 1.33 (1.03-1.71), P=0.03; cutoff value = 10.03) were more likely to experience unfavorable outcomes. Moreover, when compared to ASITN/SIR scale (AUC=89.6, 95 % CI: 0.09-0.78) and LDL level (AUC=62.8, 95 % CI: 0.15-0.92), white matter hyperintense volume demonstrated greater accuracy in predicting poor outcomes (AUC=94.4, 95 % CI: 1.03-1.71). Importantly, white matter hyperintense volume showed a positive correlation with the modified Rankin Scale (mRS) Score (r = 0.8289, P<0.0001). In brief, the burden of white matter hyperintensity is negatively correlated with collateral circulation in mechanical thrombectomy for acute anterior circulation occlusion. CONCLUSIONS The higher the burden of white matter hyperintensity, the worse the collateral circulation in mechanical thrombectomy for acute anterior circulation occlusion. The combination of high white matter hyperintensity volume and poor collateral circulation enhances might predict a worse clinical outcome of mechanical thrombectomy with acute anterior circulation occlusion.
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Affiliation(s)
- Ziyi Xie
- Department of Neurology, Nanjing Drum Tower Hospital Clinical College of Xuzhou Medical University, Nanjing, China
| | - Yu Bi
- Department of Neurology, Nanjing Drum Tower Hospital Clinical College of Xuzhou Medical University, Nanjing, China
| | - Yue Cheng
- Department of Neurology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China; Department of Neurology, Nanjing Drum Tower Hospital, State Key Laboratory of Pharmaceutical Biotechnology, Nanjing University, Nanjing, China
| | - Qinyue Huang
- Department of Neurology, Nanjing Drum Tower Hospital Clinical College of Xuzhou Medical University, Nanjing, China
| | - Huanyu Ni
- Department of Pharmacy of Drum Tower Hospital, Medical School, Nanjing University, Nanjing 210008, China
| | - Yun Luo
- Department of Neurology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China; Department of Neurology, Nanjing Drum Tower Hospital, State Key Laboratory of Pharmaceutical Biotechnology, Nanjing University, Nanjing, China
| | - Zhibin Chen
- Department of Neurology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China; Department of Neurology, Nanjing Drum Tower Hospital, State Key Laboratory of Pharmaceutical Biotechnology, Nanjing University, Nanjing, China
| | - Guangxin Duan
- Department of Neurology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China; Department of Neurology, Nanjing Drum Tower Hospital, State Key Laboratory of Pharmaceutical Biotechnology, Nanjing University, Nanjing, China
| | - Yun Xu
- Department of Neurology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China; Department of Neurology, Nanjing Drum Tower Hospital, State Key Laboratory of Pharmaceutical Biotechnology, Nanjing University, Nanjing, China
| | - Qingxiu Zhang
- Department of Neurology, Nanjing Drum Tower Hospital Clinical College of Xuzhou Medical University, Nanjing, China; Department of Neurology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China; Department of Neurology, Nanjing Drum Tower Hospital, State Key Laboratory of Pharmaceutical Biotechnology, Nanjing University, Nanjing, China.
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Sojak L, Toebak AM, Gallino C, Von Streng T, Rudin S, Kriemler LF, Zietz A, Wagner B, Gensicke H, Sutter R, Nickel CH, Katan M, Bonati LH, Psychogios M, Dittrich TD, De Marchis GM. Association between ischaemic stroke aetiology and leptomeningeal collateral status: a retrospective cohort study. Swiss Med Wkly 2024; 154:3584. [PMID: 39137358 DOI: 10.57187/s.3584] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/15/2024] Open
Abstract
INTRODUCTION There is limited understanding of the pathomechanistic relationship between leptomeningeal collateral formation and ischaemic stroke aetiology. We aimed to assess the association of leptomeningeal collateral status and ischaemic stroke aetiology, using the widely recognised "Trial of Org 10172 in Acute Stroke Treatment" (TOAST) classification categorising strokes into five distinct aetiologies. METHODS Retrospective study of consecutively admitted adult ischaemic stroke patients at a Swiss stroke centre. Leptomeningeal collateral status was assessed on admission with single-phase CT-angiographies using a validated 4-point score. Patients were categorised into large-artery atherosclerosis (LAA), cardioembolic (CE), small-vessel disease (SVD) and cryptogenic (CG) according to the TOAST classification. We performed ordinal and binary (poor [collaterals filling ≤50% of the occluded territory] vs good [collaterals filling >50% of the occluded territory] collateralisation) logistic regression to evaluate the impact of TOAST aetiology on collateral status. RESULTS Among 191 patients, LAA patients had better collateral status compared to non-LAA aetiology (LAA: 2 vs CE: 2 vs SVD: 3 vs CG: 2, pLAA vs non-LAA = 0.04). In weighted multivariate logistic regression, LAA and SVD independently predicted better collateral status (binary models [adjusted odds ratio; aOR]: LAA: 3.72 [1.21-11.44] and SVD: 4.19 [1.21-14.52]; ordinal models [adjusted common odds ratio; acOR]: LAA: 2.26 [95% CI: 1.23-4.15] and SVD: 1.94 [1.03-3.66]), while CE predicted worse collateral status (binary models [aOR]: CE: 0.17 [0.07-0.41]; ordinal models [acOR]: CE: 0.24 [0.11-0.51]). CONCLUSION The aetiology of ischaemic stroke is associated with leptomeningeal collateral status on single-phase CT-angiography, with LAA and SVD predicting better and CE predicting worse collateral status.
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Affiliation(s)
- Lina Sojak
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Anna M Toebak
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Basel, Switzerland
- Department of Neurology and Stroke Center, Cantonal Hospital St Gallen, St Gallen, Switzerland
- Department of Clinical Research, University of Basel, Basel, Switzerland
| | - Camilla Gallino
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Tennessee Von Streng
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Salome Rudin
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Lilian F Kriemler
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Basel, Switzerland
- Clinic for Internal Medicine, Cantonal Hospital Schaffhausen, Schaffhausen, Switzerland
| | - Annaelle Zietz
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Basel, Switzerland
- Department of Clinical Research, University of Basel, Basel, Switzerland
| | - Benjamin Wagner
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Basel, Switzerland
- Department of Clinical Research, University of Basel, Basel, Switzerland
| | - Henrik Gensicke
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Basel, Switzerland
- Department of Clinical Research, University of Basel, Basel, Switzerland
- Neurology and Neurorehabilitation, University Department of Geriatric Medicine Felix Platter, Basel, Switzerland
| | - Raoul Sutter
- Department of Clinical Research, University of Basel, Basel, Switzerland
- Department of Intensive Care Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Christian H Nickel
- Department of Clinical Research, University of Basel, Basel, Switzerland
- Emergency Department, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Mira Katan
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Basel, Switzerland
- Department of Clinical Research, University of Basel, Basel, Switzerland
| | - Leo H Bonati
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Basel, Switzerland
- Department of Clinical Research, University of Basel, Basel, Switzerland
- Rheinfelden Rehabilitation Clinic, Rheinfelden, Switzerland
| | - Marios Psychogios
- Department of Clinical Research, University of Basel, Basel, Switzerland
- Department of Neuroradiology, University Hospital Basel, Basel, Switzerland
| | - Tolga D Dittrich
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Basel, Switzerland
- Department of Neurology and Stroke Center, Cantonal Hospital St Gallen, St Gallen, Switzerland
- Department of Clinical Research, University of Basel, Basel, Switzerland
| | - Gian Marco De Marchis
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Basel, Switzerland
- Department of Neurology and Stroke Center, Cantonal Hospital St Gallen, St Gallen, Switzerland
- Department of Clinical Research, University of Basel, Basel, Switzerland
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Frias P, Khangura RS, Varjavand B, Alexander MD. Imaging in acute ischaemic stroke: assessing findings in light of evolving therapies. Br J Radiol 2024; 97:1078-1087. [PMID: 38490240 PMCID: PMC11135800 DOI: 10.1093/bjr/tqae050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 02/21/2024] [Accepted: 02/22/2024] [Indexed: 03/17/2024] Open
Abstract
Acute ischaemic stroke (AIS) is a debilitating disease for which effective therapies are now available. Effective identification of candidates for therapy relies heavily on noninvasive imaging that must be interpreted accurately in a short timeframe. This review summarizes the evolution of AIS therapies and the implications for noninvasive imaging. The review concludes with consideration of longstanding assumptions about imaging of ischaemic stroke and potential paradigm shifts on the horizon.
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Affiliation(s)
- Patrick Frias
- Departments of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT 84132, United States
| | - Rajkamal S Khangura
- Neurointerventional Radiology, Sutter Sacramento Medical Center, Sacramento, CA 95816, United States
| | - Bahram Varjavand
- Neurointerventional Radiology, Sutter Sacramento Medical Center, Sacramento, CA 95816, United States
| | - Matthew D Alexander
- Departments of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT 84132, United States
- Neurointerventional Radiology, Sutter Sacramento Medical Center, Sacramento, CA 95816, United States
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Avery EW, Abou-Karam A, Abi-Fadel S, Behland J, Mak A, Haider SP, Zeevi T, Sanelli PC, Filippi CG, Malhotra A, Matouk CC, Falcone GJ, Petersen N, Sansing LH, Sheth KN, Payabvash S. Radiomics-Based Prediction of Collateral Status from CT Angiography of Patients Following a Large Vessel Occlusion Stroke. Diagnostics (Basel) 2024; 14:485. [PMID: 38472957 PMCID: PMC10930945 DOI: 10.3390/diagnostics14050485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 02/01/2024] [Accepted: 02/15/2024] [Indexed: 03/14/2024] Open
Abstract
BACKGROUND A major driver of individual variation in long-term outcomes following a large vessel occlusion (LVO) stroke is the degree of collateral arterial circulation. We aimed to develop and evaluate machine-learning models that quantify LVO collateral status using admission computed tomography angiography (CTA) radiomics. METHODS We extracted 1116 radiomic features from the anterior circulation territories from admission CTAs of 600 patients experiencing an acute LVO stroke. We trained and validated multiple machine-learning models for the prediction of collateral status based on consensus from two neuroradiologists as ground truth. Models were first trained to predict (1) good vs. intermediate or poor, or (2) good vs. intermediate or poor collateral status. Then, model predictions were combined to determine a three-tier collateral score (good, intermediate, or poor). We used the receiver operating characteristics area under the curve (AUC) to evaluate prediction accuracy. RESULTS We included 499 patients in training and 101 in an independent test cohort. The best-performing models achieved an averaged cross-validation AUC of 0.80 ± 0.05 for poor vs. intermediate/good collateral and 0.69 ± 0.05 for good vs. intermediate/poor, and AUC = 0.77 (0.67-0.87) and AUC = 0.78 (0.70-0.90) in the independent test cohort, respectively. The collateral scores predicted by the radiomics model were correlated with (rho = 0.45, p = 0.002) and were independent predictors of 3-month clinical outcome (p = 0.018) in the independent test cohort. CONCLUSIONS Automated tools for the assessment of collateral status from admission CTA-such as the radiomics models described here-can generate clinically relevant and reproducible collateral scores to facilitate a timely treatment triage in patients experiencing an acute LVO stroke.
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Affiliation(s)
- Emily W. Avery
- Section of Neuroradiology, Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06520, USA; (E.W.A.); (A.M.)
| | - Anthony Abou-Karam
- Section of Neuroradiology, Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06520, USA; (E.W.A.); (A.M.)
| | - Sandra Abi-Fadel
- Section of Neuroradiology, Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06520, USA; (E.W.A.); (A.M.)
| | - Jonas Behland
- Section of Neuroradiology, Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06520, USA; (E.W.A.); (A.M.)
- CLAIM—Charité Lab for Artificial Intelligence in Medicine, Charité—Universitätsmedizin Berlin, 10117 Berlin, Germany
| | - Adrian Mak
- Section of Neuroradiology, Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06520, USA; (E.W.A.); (A.M.)
- CLAIM—Charité Lab for Artificial Intelligence in Medicine, Charité—Universitätsmedizin Berlin, 10117 Berlin, Germany
| | - Stefan P. Haider
- Section of Neuroradiology, Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06520, USA; (E.W.A.); (A.M.)
- Department of Otorhinolaryngology, University Hospital of Ludwig Maximilians Universität München, 81377 Munich, Germany
| | - Tal Zeevi
- Section of Neuroradiology, Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06520, USA; (E.W.A.); (A.M.)
| | - Pina C. Sanelli
- Section of Neuroradiology, Department of Radiology, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell Health, Manhasset, NY 11030, USA
| | - Christopher G. Filippi
- Section of Neuroradiology, Department of Radiology, Tufts School of Medicine, Boston, MA 02111, USA
| | - Ajay Malhotra
- Section of Neuroradiology, Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06520, USA; (E.W.A.); (A.M.)
| | - Charles C. Matouk
- Division of Neurovascular Surgery, Department of Neurosurgery, Yale School of Medicine, New Haven, CT 06520, USA
| | - Guido J. Falcone
- Division of Neurocritical Care and Emergency Neurology, Department of Neurology, Yale School of Medicine, New Haven, CT 06520, USA
| | - Nils Petersen
- Division of Neurocritical Care and Emergency Neurology, Department of Neurology, Yale School of Medicine, New Haven, CT 06520, USA
| | - Lauren H. Sansing
- Division of Stroke and Vascular Neurology, Department of Neurology, Yale School of Medicine, New Haven, CT 06520, USA
| | - Kevin N. Sheth
- Division of Neurocritical Care and Emergency Neurology, Department of Neurology, Yale School of Medicine, New Haven, CT 06520, USA
| | - Seyedmehdi Payabvash
- Section of Neuroradiology, Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06520, USA; (E.W.A.); (A.M.)
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McGuire LS, Kumar P, Ryoo JS, Alaraj A. Selective endovascular treatment of cervical arterial dissection using quantitative magnetic resonance angiography. Interv Neuroradiol 2024; 30:64-71. [PMID: 35656756 PMCID: PMC10956450 DOI: 10.1177/15910199221106040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 05/14/2022] [Accepted: 05/17/2022] [Indexed: 11/17/2022] Open
Abstract
INTRODUCTION The role of endovascular treatment in cervical artery dissection (CAD) is equivocal. This study compared cerebral blood flow in CAD between medically and endovascularly treated patients using quantitative magnetic resonance angiography (QMRA). METHODS Retrospective chart review was completed for patients with CAD. Inclusion criteria were adults (>18 years) with diagnosis of dissection of the internal carotid artery or vertebral artery who received QMRA. The cases were reviewed for clinical presentation, diagnosis, management, and imaging, and in particular, patients who underwent endovascular treatment were evaluated. RESULTS Forty-one patients were included, 46.3% female and mean age 46.0+/- 11.9 years. 21 patients (51.2%) had contralateral (ICA) dissections while 19 (46.3%) had vertebral artery (VA) dissections, and 1 had both involved. Five patients underwent stenting, angioplasty, or both. Baseline characteristics between patients who underwent medical versus endovascular treatment were similar, although patients undergoing stenting/angioplasty were more likely to have diabetes (p = 0.015) and prior anticoagulation use (p = 0.007). All endovascular patients demonstrated ischemia on MRI versus 53.1% of those undergoing medical management (p = 0.047). Comparing ipsilateral vessel flow over time in these two patient groups showed those who underwent stenting or angioplasty had lower baseline flows, albeit non-significant (p = 0.629). Patients who underwent endovascular treatment had lower distal flow compared to the medical management group. CONCLUSION This study represents the first to assess vessel flow using QMRA in patients who underwent endovascular treatment of CAD. In combination with progressive symptoms, QMRA may serve as a useful adjunct in the selection of patients for endovascular intervention in arterial dissections.
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Affiliation(s)
- Laura Stone McGuire
- Department of Neurosurgery, University of Illinois at Chicago, Chicago, IL, USA
| | - Prateek Kumar
- Department of Neurology, University of Illinois at Chicago, Chicago, IL, USA
| | - James S. Ryoo
- College of Medicine, University of Illinois at Chicago, Chicago, IL, USA
| | - Ali Alaraj
- Department of Neurosurgery, University of Illinois at Chicago, Chicago, IL, USA
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Fortunati V, Su J, Wolff L, van Doormaal PJ, Hofmeijer J, Martens J, Bokkers RPH, van Zwam WH, van der Lugt A, van Walsum T. Siamese model for collateral score prediction from computed tomography angiography images in acute ischemic stroke. FRONTIERS IN NEUROIMAGING 2024; 2:1239703. [PMID: 38274412 PMCID: PMC10809990 DOI: 10.3389/fnimg.2023.1239703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 12/26/2023] [Indexed: 01/27/2024]
Abstract
Introduction Imaging biomarkers, such as the collateral score as determined from Computed Tomography Angiography (CTA) images, play a role in treatment decision making for acute stroke patients. In this manuscript, we present an end-to-end learning approach for automatic determination of a collateral score from a CTA image. Our aim was to investigate whether such end-to-end learning approaches can be used for this classification task, and whether the resulting classification can be used in existing outcome prediction models. Methods The method consists of a preprocessing step, where the CTA image is aligned to an atlas and divided in the two hemispheres: the affected side and the healthy side. Subsequently, a VoxResNet based convolutional neural network is used to extract features at various resolutions from the input images. This is done by using a Siamese model, such that the classification is driven by the comparison between the affected and healthy using a unique set of features for both hemispheres. After masking the resulting features for both sides with the vascular region and global average pooling (per hemisphere) and concatenation of the resulting features, a fully connected layer is used to determine the categorized collateral score. Experiments Several experiments have been performed to optimize the model hyperparameters and training procedure, and to validate the final model performance. The hyperparameter optimization and subsequent model training was done using CTA images from the MR CLEAN Registry, a Dutch multi-center multi-vendor registry of acute stroke patients that underwent endovascular treatment. A separate set of images, from the MR CLEAN Trial, served as an external validation set, where collateral scoring was assessed and compared with both human observers and a recent more traditional model. In addition, the automated collateral scores have been used in an existing functional outcome prediction model that uses both imaging and non-imaging clinical parameters. Conclusion The results show that end-to-end learning of collateral scoring in CTA images is feasible, and does perform similar to more traditional methods, and the performance also is within the inter-observer variation. Furthermore, the results demonstrate that the end-to-end classification results also can be used in an existing functional outcome prediction model.
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Affiliation(s)
| | - Jiahang Su
- Biomedical Imaging Group Rotterdam, Department of Radiology & Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Lennard Wolff
- Department of Radiology & Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Pieter-Jan van Doormaal
- Department of Radiology & Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Jeanette Hofmeijer
- Clinical Neurophysiology, MIRA Institute for Biomedical Technology and Technical Medicine, University of Twente, Enschede, Netherlands
- Department of Neurology, Rijnstate Hospital, Arnhem, Netherlands
| | - Jasper Martens
- Department of Radiology and Nuclear Medicine, Rijnstate Hospital, Arnhem, Netherlands
| | | | - Wim H. van Zwam
- Department of Radiology & Nuclear Medicine, Maastricht UMC, Cardiovascular Research Institute Maastricht, Maastricht, Netherlands
| | - Aad van der Lugt
- Department of Radiology & Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Theo van Walsum
- Biomedical Imaging Group Rotterdam, Department of Radiology & Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
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Abousrafa SE, Mair G. MRI for collateral assessment pre-thrombectomy and association with outcome: a systematic review and meta-analysis. Neuroradiology 2023; 65:1001-1014. [PMID: 36847834 PMCID: PMC10169893 DOI: 10.1007/s00234-023-03127-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 01/30/2023] [Indexed: 03/01/2023]
Abstract
PURPOSE Various neuroimaging methods exist to assess the collateral circulation in stroke patients but much of the evidence is based on computed tomography. Our aim was to review the evidence for using magnetic resonance imaging for collateral status evaluation pre-thrombectomy and assess the impact of these methods on functional independence. METHODS We systematically reviewed EMBASE and MEDLINE for studies that evaluated baseline collaterals using MRI pre-thrombectomy and conducted a meta-analysis to express the relationship between good collaterals (defined variably as the presence [good] vs absence [poor] or quality [ordinal scores binarized as good-moderate vs poor] of collaterals) and functional independence (modified Rankin score mRS≤2) at 90 days. Outcome data were presented as relative risk (RR, 95% confidence interval, 95%CI). We assessed for study heterogeneity, publication bias, and conducted subgroup analyses of different MRI methods and affected arterial territories. RESULTS From 497 studies identified, we included 24 (1957 patients) for the qualitative synthesis, and 6 (479 patients) for the metanalysis. Good pre-thrombectomy collaterals were significantly associated with favorable outcome at 90 days (RR=1.91, 95%CI=1.36-2.68], p= 0.0002) with no difference between MRI methods and affected arterial territory subgroups. There was no evidence of statistical heterogeneity (I2=25%) among studies but there was evidence of publication bias. CONCLUSION In stroke patients treated with thrombectomy, good pre-treatment collaterals assessed using MRI are associated with double the rate of functional independence. However, we found evidence that relevant MR methods are heterogenous and under-reported. Greater standardization and clinical validation of MRI for collateral evaluation pre-thrombectomy are required.
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Affiliation(s)
| | - Grant Mair
- Centre for Clinical Brain Sciences, Chancellor's Building, University of Edinburgh, 49 Little France Crescent, Edinburgh, EH16 4SB, UK.
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9
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CT vascular territory mapping: a novel method to identify large vessel occlusion collateral. Neuroradiology 2023; 65:113-119. [PMID: 35948830 PMCID: PMC9816260 DOI: 10.1007/s00234-022-03034-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Accepted: 08/01/2022] [Indexed: 01/11/2023]
Abstract
INTRODUCTION This descriptive study explores typical patterns of vascular territory mapping (VTM) in ischaemic stroke patients with proximal vessel occlusion. VTM is a novel process using CT perfusion that can identify the source and extent of collateral blood flow in patients with vessel occlusion. It functions by determining which vessel provides dominant blood flow to a brain voxel. METHODS A total of 167 consecutive patients were analysed from INSPIRE (International Stroke Perfusion Imaging Registry) with their CT perfusion reprocessed through VTM software. We explored the typical territory maps generated by this software relating to common large vessel occlusion location sites (ACA/MCA/PCA). RESULTS/CONCLUSION In the presence of occlusion, VTM demonstrated a reciprocal increase in collateral vessel territories.
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10
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Tetteh G, Navarro F, Meier R, Kaesmacher J, Paetzold JC, Kirschke JS, Zimmer C, Wiest R, Menze BH. A deep learning approach to predict collateral flow in stroke patients using radiomic features from perfusion images. Front Neurol 2023; 14:1039693. [PMID: 36895903 PMCID: PMC9990868 DOI: 10.3389/fneur.2023.1039693] [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: 09/08/2022] [Accepted: 02/02/2023] [Indexed: 02/25/2023] Open
Abstract
Collateral circulation results from specialized anastomotic channels which are capable of providing oxygenated blood to regions with compromised blood flow caused by arterial obstruction. The quality of collateral circulation has been established as a key factor in determining the likelihood of a favorable clinical outcome and goes a long way to determining the choice of a stroke care model. Though many imaging and grading methods exist for quantifying collateral blood flow, the actual grading is mostly done through manual inspection. This approach is associated with a number of challenges. First, it is time-consuming. Second, there is a high tendency for bias and inconsistency in the final grade assigned to a patient depending on the experience level of the clinician. We present a multi-stage deep learning approach to predict collateral flow grading in stroke patients based on radiomic features extracted from MR perfusion data. First, we formulate a region of interest detection task as a reinforcement learning problem and train a deep learning network to automatically detect the occluded region within the 3D MR perfusion volumes. Second, we extract radiomic features from the obtained region of interest through local image descriptors and denoising auto-encoders. Finally, we apply a convolutional neural network and other machine learning classifiers to the extracted radiomic features to automatically predict the collateral flow grading of the given patient volume as one of three severity classes - no flow (0), moderate flow (1), and good flow (2). Results from our experiments show an overall accuracy of 72% in the three-class prediction task. With an inter-observer agreement of 16% and a maximum intra-observer agreement of 74% in a similar experiment, our automated deep learning approach demonstrates a performance comparable to expert grading, is faster than visual inspection, and eliminates the problem of grading bias.
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Affiliation(s)
- Giles Tetteh
- Department of Computer Science, Technische Universität München, München, Germany.,Neuroradiology, Klinikum Rechts der Isar, Technische Universität München, München, Germany
| | - Fernando Navarro
- Department of Computer Science, Technische Universität München, München, Germany
| | - Raphael Meier
- Institute for Diagnostic and Interventional Neuroradiology, Inselspital University Hospital, Bern, Switzerland
| | - Johannes Kaesmacher
- Institute for Diagnostic and Interventional Neuroradiology, Inselspital University Hospital, Bern, Switzerland
| | - Johannes C Paetzold
- Department of Computer Science, Technische Universität München, München, Germany
| | - Jan S Kirschke
- Neuroradiology, Klinikum Rechts der Isar, Technische Universität München, München, Germany
| | - Claus Zimmer
- Neuroradiology, Klinikum Rechts der Isar, Technische Universität München, München, Germany
| | - Roland Wiest
- Institute for Diagnostic and Interventional Neuroradiology, Inselspital University Hospital, Bern, Switzerland
| | - Bjoern H Menze
- Department of Computer Science, Technische Universität München, München, Germany.,Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
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11
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Su J, Wolff L, van Doormaal PJ, Dippel DWJ, van Zwam W, Niessen WJ, van der Lugt A, van Walsum T. Time dependency of automated collateral scores in computed tomography angiography and computed tomography perfusion images in patients with intracranial arterial occlusion. Neuroradiology 2023; 65:313-322. [PMID: 36167825 PMCID: PMC9859867 DOI: 10.1007/s00234-022-03050-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Accepted: 09/03/2022] [Indexed: 01/25/2023]
Abstract
PURPOSE The assessment of collateral status may depend on the timing of image acquisition. The purpose of this study is to investigate whether there are optimal time points in CT Perfusion (CTP) for collateral status assessment, and compare collaterals scores at these time points with collateral scores from multiphase CT angiography (mCTA). METHODS Patients with an acute intracranial occlusion who underwent baseline non-contrast CT, mCTA and CT perfusion were selected. Collateral status was assessed using an automatically computed Collateral Ratio (CR) score in mCTA, and predefined time points in CTP acquisition. CRs extracted from CTP were correlated with CRs from mCTA. In addition, all CRs were related to baseline National Institutes of Health Stroke Scale (NIHSS) and Alberta Stoke Program Early CT Score (ASPECTS) with linear regression analysis to find the optimal CR. RESULTS In total 58 subjects (median age 74 years; interquartile range 61-83 years; 33 male) were included. When comparing the CRs from the CTP vs. mCTA acquisition, the strongest correlations were found between CR from baseline mCTA and the CR at the maximal intensity projection of time-resolved CTP (r = 0.81) and the CR at the peak of arterial enhancement point (r = 0.78). Baseline mCTA-derived CR had the highest correlation with ASPECTS (β = 0.36 (95%CI 0.11, 0.61)) and NIHSS (β = - 0.48 (95%CI - 0.72, - 0.16)). CONCLUSION Collateral status assessment strongly depends on the timing of acquisition. Collateral scores obtained from mCTA imaging is close to the optimal collateral score obtained from CTP imaging.
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Affiliation(s)
- Jiahang Su
- Department of Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands.
| | - Lennard Wolff
- Department of Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | | | | | - Wim van Zwam
- Department of Radiology, Maastricht UMC +, Maastricht, The Netherlands
| | - Wiro J Niessen
- Department of Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
- Faculty of Applied Science, Delft University of Technology, Delft, The Netherlands
| | - Aad van der Lugt
- Department of Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Theo van Walsum
- Department of Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
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12
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Shulgina AA, Lukshin VA, Usachev DY. [Variants of collateral cerebral circulation in moyamoya disease]. ZHURNAL VOPROSY NEIROKHIRURGII IMENI N. N. BURDENKO 2023; 87:20-28. [PMID: 37325823 DOI: 10.17116/neiro20238703120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
BACKGROUND Moyamoya disease is a chronic progressive cerebrovascular disease with a complex pathophysiology and unique features of neoangiogenesis. These features are still known only to a few specialists, although they determine clinical course and outcomes of disease. OBJECTIVE To determine the nature and degree of neoangiogenesis in restructuring the natural collateral circulation in patients with moyamoya disease and its effect on cerebral blood flow. The influence of collateral circulation on postoperative results and factors of its effectiveness will be analyzed in the 2nd part of the study. MATERIAL AND METHODS The study included 65 patients with moyamoya disease who underwent preoperative selective direct angiography with separate contrast enhancement of both internal, external and vertebral arteries. We analyzed 130 hemispheres. Suzuki stage of disease, pathways of collateral circulation and their relationship with reduction of cerebral blood flow and clinical manifestations were assessed. Distal vessels of the middle cerebral artery (MCA) were additionally studied. RESULTS Suzuki stage 3 was the most common (36 hemispheres, 38%). Leptomeningeal collaterals were the most common among intracranial collateral tracts (82 hemispheres, 66.1%). Extra-intracranial transdural collaterals were found in half of the cases (56 hemispheres). We observed certain changes in distal vessels of the MCA (hypoplasia of M3 branches) in 28 (20.9%) hemispheres. Suzuki stage of disease significantly determined degree of cerebral blood flow insufficiency, i.e. more severe perfusion deficit was observed at the later stages of disease. A well-developed system of leptomeningeal collaterals significantly reflected stages of compensation and subcompensation of cerebral blood flow according to perfusion data (χ2=20.394, p<0.001). CONCLUSION Neoangiogenesis is a natural compensatory mechanism in moyamoya disease designed to maintain brain perfusion under reduced cerebral blood flow. Predominant intra-intracranial collaterals are associated with ischemic and hemorrhagic events. Timely restructuring on extra-intracranial ways of collateral circulation prevents adverse manifestations of disease. Assessment and understanding of collateral circulation in patients with moyamoya disease create the prerequisites for substantiating the method of surgical treatment.
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Affiliation(s)
| | - V A Lukshin
- Burdenko Neurosurgical Center, Moscow, Russia
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13
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Muacevic A, Adler JR, Hanae B, Naima C, Faouzi B. Reasons for Exclusion From Intravenous Thrombolysis in Acute Ischemic Stroke: Experience From a Moroccan Stroke Unit. Cureus 2023; 15:e33248. [PMID: 36741618 PMCID: PMC9890612 DOI: 10.7759/cureus.33248] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/02/2023] [Indexed: 01/03/2023] Open
Abstract
Background and objective The rate of intravenous thrombolysis (IVT) in acute ischemic stroke (AIS) is still low due to several absolute and relative contraindications, including admission time delay, which remains the main reason for exclusion from thrombolysis. In this study, we aimed to identify reasons for non-thrombolysis at our stroke center. Methods This retrospective study included all patients with a final diagnosis of AIS as per our stroke prospective register from 2014 to 2019. Reasons for non-thrombolysis were analyzed for all AIS and for patients admitted within 4.5 hours from symptom onset. From 2014 to 2016, a non-contrast CT scan was the unique imaging modality used to decide on performing IVT. In 2017, CT angiography was added to the imaging protocol. Results Among 3,562 patients with AIS, 3,365 (94.4%) were excluded from thrombolysis; 2,871 (80.6%) were admitted out of the IVT time window, which represents the main reason for exclusion from thrombolysis. Thrombolysis alert (TA) was triggered for 691 (19.4%) patients, and 197 patients had IVT (which represents 28.5% of TA and 5.5% of all AIS). Minor stroke and rapidly improving symptoms of stroke were also reasons for non-thrombolysis, which explain the high-average initial National Institutes of Health Stoke Scale (NIHSS) score of more than 12 in the thrombolysis group. CT angiography allows for the analysis of the supra-aortic trunks, the circle of Willis, and the collateral status. Therefore, during the period when a CT angiography scan was used, there were more IVTs for minor strokes, rapidly improving strokes, and AIS patients admitted beyond the IVT time window. Conclusions This study highlights the common reasons for exclusion from thrombolysis. Efforts should be undertaken to avoid admission time delays. Also, based on our findings, minor stroke and improving stroke no longer represent absolute contraindications for IVT in AIS.
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14
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Value of CT Perfusion for Collateral Status Assessment in Patients with Acute Ischemic Stroke. Diagnostics (Basel) 2022; 12:diagnostics12123014. [PMID: 36553021 PMCID: PMC9777468 DOI: 10.3390/diagnostics12123014] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 11/24/2022] [Accepted: 11/27/2022] [Indexed: 12/04/2022] Open
Abstract
Good collateral status in acute ischemic stroke patients is an important indicator for good outcomes. Perfusion imaging potentially allows for the simultaneous assessment of local perfusion and collateral status. We combined multiple CTP parameters to evaluate a CTP-based collateral score. We included 85 patients with a baseline CTP and single-phase CTA images from the MR CLEAN Registry. We evaluated patients' CTP parameters, including relative CBVs and tissue volumes with several time-to-maximum ranges, to be candidates for a CTP-based collateral score. The score candidate with the strongest association with CTA-based collateral score and a 90-day mRS was included for further analyses. We assessed the association of the CTP-based collateral score with the functional outcome (mRS 0-2) by analyzing three regression models: baseline prognostic factors (model 1), model 1 including the CTA-based collateral score (model 2), and model 1 including the CTP-based collateral score (model 3). The model performance was evaluated using C-statistic. Among the CTP-based collateral score candidates, relative CBVs with a time-to-maximum of 6-10 s showed a significant association with CTA-based collateral scores (p = 0.02) and mRS (p = 0.05) and was therefore selected for further analysis. Model 3 most accurately predicted favorable outcomes (C-statistic = 0.86, 95% CI: 0.77-0.94) although differences between regression models were not statistically significant. We introduced a CTP-based collateral score, which is significantly associated with functional outcome and may serve as an alternative collateral measure in settings where MR imaging is not feasible.
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15
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Lu Q, Zhang H, Cao X, Fu J, Pan Y, Zheng X, Wang J, Geng D, Zhang J. Quantitative collateral score for the prediction of clinical outcomes in stroke patients: Better than visual grading. Front Neurosci 2022; 16:980135. [PMID: 36389251 PMCID: PMC9641373 DOI: 10.3389/fnins.2022.980135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Accepted: 10/04/2022] [Indexed: 11/24/2022] Open
Abstract
Objectives To identify preoperative prognostic factors for acute ischemic stroke (AIS) patients receiving mechanical thrombectomy (MT) and compare the performance of quantitative collateral score (qCS) and visual collateral score (vCS) in outcome prediction. Methods Fifty-five patients with AIS receiving MT were retrospectively enrolled. qCS was defined as the percentage of the volume of collaterals of both hemispheres. Based on the dichotomous outcome assessed using a 90-day modified Rankin Scale (mRS), we compared qCS, vCS, age, sex, National Institute of Health stroke scale score, etiological subtype, platelet count, international normalized ratio, glucose levels, and low-density lipoprotein cholesterol (LDL-C) levels between favorable and unfavorable outcome groups. Logistic regression analysis was performed to determine the effect on the clinical outcome. The discriminatory power of qCS, vCS, and their combination with cofounders for determining favorable outcomes was tested with the area under the receiver-operating characteristic curve (AUC). Results vCS, qCS, LDL-C, and age could all predict clinical outcomes. qCS is superior over vCS in predicting favorable outcomes with a relatively higher AUC value (qCS vs. vCS: 0.81 vs. 0.74) and a higher sensitivity rate (qCS vs. vCS: 72.7% vs. 40.9%). The prediction power of qCS + LDL-C + age was best with an AUC value of 0.91, but the accuracy was just increased slightly compared to that of qCS alone. Conclusion Collateral scores, LDL-C and age were independent prognostic predictors for patients with AIS receiving MT; qCS was a better predictor than vCS. Furthermore, qCS + LDL-C + age offers a strong prognostic prediction power and qCS alone was another good choice for predicting clinical outcome.
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Affiliation(s)
- Qingqing Lu
- State Key Laboratory of Medical Neurobiology, Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
- Department of Radiology, Ningbo First Hospital, Ningbo, China
| | - Haiyan Zhang
- State Key Laboratory of Medical Neurobiology, Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
| | - Xin Cao
- State Key Laboratory of Medical Neurobiology, Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
| | - Junyan Fu
- State Key Laboratory of Medical Neurobiology, Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
| | - Yuning Pan
- Department of Radiology, Ningbo First Hospital, Ningbo, China
| | - Xiaodong Zheng
- Department of Radiology, Ningbo First Hospital, Ningbo, China
| | - Jianhong Wang
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
- *Correspondence: Jianhong Wang,
| | - Daoying Geng
- State Key Laboratory of Medical Neurobiology, Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
- National Center for Neurological Disorders, Shanghai, China
- Daoying Geng,
| | - Jun Zhang
- State Key Laboratory of Medical Neurobiology, Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
- Center for Shanghai Intelligent Imaging for Critical Brain Diseases Engineering and Technology Research, Huashan Hospital, Fudan University, Shanghai, China
- Jun Zhang,
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Tsui B, Nour M, Chen I, Qiao JX, Salehi B, Yoo B, Colby GP, Salamon N, Villablanca P, Jahan R, Duckwiler G, Saver JL, Liebeskind DS, Nael K. MR Angiography in Assessment of Collaterals in Patients with Acute Ischemic Stroke: A Comparative Analysis with Digital Subtraction Angiography. Brain Sci 2022; 12:brainsci12091181. [PMID: 36138917 PMCID: PMC9497115 DOI: 10.3390/brainsci12091181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Revised: 08/20/2022] [Accepted: 08/29/2022] [Indexed: 11/16/2022] Open
Abstract
Collateral status has prognostic and treatment implications in acute ischemic stroke (AIS) patients. Unlike CTA, grading collaterals on MRA is not well studied. We aimed to evaluate the accuracy of assessing collaterals on pretreatment MRA in AIS patients against DSA. AIS patients with anterior circulation proximal arterial occlusion with baseline MRA and subsequent endovascular treatment were included. MRA collaterals were evaluated by two neuroradiologists independently using the Tan and Maas scoring systems. DSA collaterals were evaluated by using the American Society of Interventional and Therapeutic Neuroradiology grading system and were used as the reference for comparative analysis against MRA. A total of 104 patients met the inclusion criteria (59 female, age (mean ± SD): 70.8 ± 18.1). The inter-rater agreement (k) for collateral scoring was 0.49, 95% CI 0.37–0.61 for the Tan score and 0.44, 95% CI 0.26–0.62 for the Maas score. Total number (%) of sufficient vs. insufficient collaterals based on DSA was 49 (47%) and 55 (53%) respectively. Using the Tan score, 45% of patients with sufficient collaterals and 64% with insufficient collaterals were correctly identified in comparison to DSA, resulting in a poor agreement (0.09, 95% CI 0.1–0.28). Using the Maas score, only 4% of patients with sufficient collaterals and 93% with insufficient collaterals were correctly identified against DSA, resulting in poor agreement (0.03, 95% CI 0.06–0.13). Pretreatment MRA in AIS patients has limited concordance with DSA when grading collaterals using the Tan and Maas scoring systems.
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Affiliation(s)
- Brian Tsui
- Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA
- Correspondence:
| | - May Nour
- Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA
- Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA
| | - Iris Chen
- Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA
| | - Joe X. Qiao
- Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA
| | - Banafsheh Salehi
- Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA
| | - Bryan Yoo
- Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA
| | - Geoffrey P. Colby
- Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA
- Department of Neurosurgery, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA
| | - Noriko Salamon
- Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA
| | - Pablo Villablanca
- Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA
| | - Reza Jahan
- Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA
| | - Gary Duckwiler
- Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA
| | - Jeffrey L. Saver
- Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA
| | - David S. Liebeskind
- Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA
| | - Kambiz Nael
- Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA
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Uniken Venema SM, Dankbaar JW, van der Lugt A, Dippel DWJ, van der Worp HB. Cerebral Collateral Circulation in the Era of Reperfusion Therapies for Acute Ischemic Stroke. Stroke 2022; 53:3222-3234. [PMID: 35938420 DOI: 10.1161/strokeaha.121.037869] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Clinical outcomes of patients with acute ischemic stroke depend in part on the extent of their collateral circulation. A good collateral circulation has also been associated with greater benefit of intravenous thrombolysis and endovascular treatment. Treatment decisions for these reperfusion therapies are increasingly guided by a combination of clinical and imaging parameters, particularly in later time windows. Computed tomography and magnetic resonance imaging enable a rapid assessment of both the collateral extent and cerebral perfusion. Yet, the role of the collateral circulation in clinical decision-making is currently limited and may be underappreciated due to the use of rather coarse and rater-dependent grading methods. In this review, we discuss determinants of the collateral circulation in patients with acute ischemic stroke, report on commonly used and emerging neuroimaging techniques for assessing the collateral circulation, and discuss the therapeutic and prognostic implications of the collateral circulation in relation to reperfusion therapies for acute ischemic stroke.
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Affiliation(s)
- Simone M Uniken Venema
- Department of Neurology and Neurosurgery, Brain Center, University Medical Center Utrecht, the Netherlands. (S.M.U.V., H.B.v.d.W.)
| | - Jan Willem Dankbaar
- Department of Radiology and Nuclear Medicine, University Medical Center Utrecht, the Netherlands. (J.W.D.)
| | - Aad van der Lugt
- Department of Radiology and Nuclear Medicine, Erasmus Medical Center Rotterdam, the Netherlands. (A.v.d.L.)
| | - Diederik W J Dippel
- Department of Neurology, Erasmus Medical Center Rotterdam, the Netherlands. (D.W.J.D.)
| | - H Bart van der Worp
- Department of Neurology and Neurosurgery, Brain Center, University Medical Center Utrecht, the Netherlands. (S.M.U.V., H.B.v.d.W.)
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Bhogal AA, Sayin ES, Poublanc J, Duffin J, Fisher JA, Sobcyzk O, Mikulis DJ. Quantifying cerebral blood arrival times using hypoxia-mediated arterial BOLD contrast. Neuroimage 2022; 261:119523. [PMID: 35907499 DOI: 10.1016/j.neuroimage.2022.119523] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 07/20/2022] [Accepted: 07/25/2022] [Indexed: 11/19/2022] Open
Abstract
Cerebral blood arrival and tissue transit times are sensitive measures of the efficiency of tissue perfusion and can provide clinically meaningful information on collateral blood flow status. We exploit the arterial blood oxygen level dependent (BOLD) signal contrast established by precisely decreasing, and then increasing, arterial hemoglobin saturation using respiratory re-oxygenation challenges to quantify arterial blood arrival times throughout the brain. We term this approach the Step Hemoglobin re-Oxygenation Contrast Stimulus (SHOCS). Carpet plot analysis yielded measures of signal onset (blood arrival), global transit time (gTT) and calculations of relative total blood volume. Onset times averaged across 12 healthy subjects were 1.1 ± 0.4 and 1.9 ± 0.6 for cortical gray and deep white matter, respectively. The average whole brain gTT was 4.5 ± 0.9 seconds. The SHOCS response was 1.7 fold higher in grey versus white matter; in line with known differences in tissue-specific blood volume fraction. SHOCS was also applied in a patient with unilateral carotid artery occlusion revealing ipsilateral prolonged signal onset with normal perfusion in the unaffected hemisphere. We anticipate that SHOCS will further inform on the extent of collateral blood flow in patients with upstream steno-occlusive vascular disease, including those already known to manifest reductions in vasodilatory reserve capacity or vascular steal.
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Affiliation(s)
- Alex A Bhogal
- Center of Imaging Sciences, High Field Department, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, CX 3584, the Netherlands.
| | - Ece Su Sayin
- Department of Physiology, University of Toronto, Toronto, Canada
| | - Julien Poublanc
- Joint Department of Medical Imaging and the Functional Neuroimaging Lab, University Health Network, Toronto, ON, Canada
| | - James Duffin
- Department of Physiology, University of Toronto, Toronto, Canada; Toronto General Hospital Research Institute, Toronto, Canada
| | - Joseph A Fisher
- Department of Physiology, University of Toronto, Toronto, Canada; Department of Anesthesiology and Pain Medicine, University Health Network and University of Toronto, Toronto, Canada
| | - Olivia Sobcyzk
- Joint Department of Medical Imaging and the Functional Neuroimaging Lab, University Health Network, Toronto, ON, Canada; Department of Anesthesiology and Pain Medicine, University Health Network and University of Toronto, Toronto, Canada
| | - David J Mikulis
- Joint Department of Medical Imaging and the Functional Neuroimaging Lab, University Health Network, Toronto, ON, Canada
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Shi F, Zeng Q, Gong X, Zhong W, Chen Z, Yan S, Lou M. Quantitative Collateral Assessment on CTP in the Prediction of Stroke Etiology. AJNR Am J Neuroradiol 2022; 43:966-971. [PMID: 35738675 PMCID: PMC9262076 DOI: 10.3174/ajnr.a7549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Accepted: 05/01/2022] [Indexed: 12/30/2022]
Abstract
BACKGROUND AND PURPOSE Patients with stroke etiology of large-artery atherosclerosis were thought to have better collateral circulation compared with patients with other stroke etiologies. We aimed to investigate the association between stroke etiology and collateral circulation with a new quantitative collateral assessment method. MATERIALS AND METHODS This retrospective study reviewed data from consecutive patients with proximal anterior artery occlusion who underwent CTP before reperfusion therapy. CBF maps were derived from CTP. A new indicator, maximum CBF of collateral vessels within the Sylvian fissure (cCBFmax), was applied to quantitatively assess the collateral status. The relationship between collateral status and stroke etiology was investigated. RESULTS A total of 296 patients were finally analyzed. The median cCBFmax was significantly higher in patients with large-artery atherosclerosis than in those without it (92 [interquartile range, 65-123] mL/100 g/min versus 62 [interquartile range, 46-82] mL/100 g/min; P < .001). Multivariable analysis revealed that a higher cCBFmax score was independently associated with large-artery atherosclerosis etiology (OR, 1.010; 95% CI, 1.002-1.018; P = .017) after adjustment. The area under the curve, sensitivity, and specificity of the final model in predicting the etiology of large-artery atherosclerosis were 0.870, 89.7%, and 75.2%, respectively. CONCLUSIONS Patients with large-artery atherosclerosis had a more adequate collateral perfusion supply with the new quantitative collateral assessment. The new quantitative collateral measurement might contribute to the prediction of stroke etiology in the acute clinical scenario for patients with acute ischemic stroke.
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Affiliation(s)
- F. Shi
- From the Departments of Neurology (F.S., X.G., W.Z., Z.C., S.Y., M.L.),Department of Neurology (F.S.), Sir Run Run Shaw Hospital of Zhejiang University, School of Medicine, Hangzhou, China
| | - Q. Zeng
- Neurosurgery (Q.Z.), Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China
| | - X. Gong
- From the Departments of Neurology (F.S., X.G., W.Z., Z.C., S.Y., M.L.)
| | - W. Zhong
- From the Departments of Neurology (F.S., X.G., W.Z., Z.C., S.Y., M.L.)
| | - Z. Chen
- From the Departments of Neurology (F.S., X.G., W.Z., Z.C., S.Y., M.L.)
| | - S. Yan
- From the Departments of Neurology (F.S., X.G., W.Z., Z.C., S.Y., M.L.)
| | - M. Lou
- From the Departments of Neurology (F.S., X.G., W.Z., Z.C., S.Y., M.L.),Zhejiang University Brain Research Institute (M.L.), Hangzhou, Zhejiang, China
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20
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Potreck A, Scheidecker E, Weyland CS, Neuberger U, Herweh C, Möhlenbruch MA, Chen M, Nagel S, Bendszus M, Seker F. RAPID CT Perfusion-Based Relative CBF Identifies Good Collateral Status Better Than Hypoperfusion Intensity Ratio, CBV-Index, and Time-to-Maximum in Anterior Circulation Stroke. AJNR Am J Neuroradiol 2022; 43:960-965. [PMID: 35680162 DOI: 10.3174/ajnr.a7542] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Accepted: 04/27/2022] [Indexed: 12/16/2022]
Abstract
BACKGROUND AND PURPOSE Information of collateral flow may help to determine eligibility for thrombectomy. Our aim was to identify CT perfusion-based surrogate parameters of good collateral status in acute anterior circulation ischemic stroke. MATERIALS AND METHODS In this retrospective study, we assessed the collateral status of 214 patients who presented with acute ischemic stroke due to occlusion of the MCA M1 segment or the carotid terminus. Collaterals were assessed on dynamic CTA images analogous to the multiphase CTA score by Menon et al. CT perfusion parameters (time-to-maximum, relative CBF, hypoperfusion intensity ratio, and CBV-index) were assessed with RAPID software. The Spearman rank correlation and receiver operating characteristic analyses were performed to identify the parameters that correlate with collateral scores and good collateral supply (defined as a collateral score of ≥4). RESULTS The Spearman rank correlation was highest for a relative CBF < 38% volume (ρ = -0.66, P < .001), followed by the hypoperfusion intensity ratio (ρ = -0.49, P < .001), CBV-index (ρ = 0.51, P < .001), and time-to-maximum > 8 seconds (ρ = -0.54, P < .001). Good collateral status was better identified by a relative CBF < 38% at a lesion size <27 mL (sensitivity of 75%, specificity of 80%) compared with a hypoperfusion intensity ratio of <0.4 (sensitivity of 75%, specificity of 62%), CBV-index of >0.8 (sensitivity of 60%, specificity of 78%), and time-to-maximum > 8 seconds (sensitivity of 68%, specificity of 76%). CONCLUSIONS Automated CT perfusion analysis allows accurate identification of collateral status in acute ischemic stroke. A relative CBF < 38% may be a better perfusion-based indicator of good collateral supply compared with time-to-maximum, the hypoperfusion intensity ratio, and the CBV-index.
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Affiliation(s)
- A Potreck
- From the Department of Neuroradiology (A.P., E.S., C.S.W., U.N., C.H., M.A.M., M.B., F.S.)
| | - E Scheidecker
- From the Department of Neuroradiology (A.P., E.S., C.S.W., U.N., C.H., M.A.M., M.B., F.S.)
| | - C S Weyland
- From the Department of Neuroradiology (A.P., E.S., C.S.W., U.N., C.H., M.A.M., M.B., F.S.)
| | - U Neuberger
- From the Department of Neuroradiology (A.P., E.S., C.S.W., U.N., C.H., M.A.M., M.B., F.S.)
| | - C Herweh
- From the Department of Neuroradiology (A.P., E.S., C.S.W., U.N., C.H., M.A.M., M.B., F.S.)
| | - M A Möhlenbruch
- From the Department of Neuroradiology (A.P., E.S., C.S.W., U.N., C.H., M.A.M., M.B., F.S.)
| | - M Chen
- Neurology (M.C., S.N.), Heidelberg University Hospital, Heidelberg, Germany
| | - S Nagel
- Neurology (M.C., S.N.), Heidelberg University Hospital, Heidelberg, Germany
| | - M Bendszus
- From the Department of Neuroradiology (A.P., E.S., C.S.W., U.N., C.H., M.A.M., M.B., F.S.)
| | - F Seker
- From the Department of Neuroradiology (A.P., E.S., C.S.W., U.N., C.H., M.A.M., M.B., F.S.)
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21
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Faizy TD, Mlynash M, Kabiri R, Christensen S, Kuraitis GM, Mader MM, Flottmann F, Broocks G, Lansberg MG, Albers GW, Marks MP, Fiehler J, Wintermark M, Heit JJ. The Cerebral Collateral Cascade: Comprehensive Blood Flow in Ischemic Stroke. Neurology 2022; 98:e2296-e2306. [PMID: 35483902 DOI: 10.1212/wnl.0000000000200340] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Accepted: 02/21/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Robust cerebral collaterals are associated with favorable outcomes in patients with acute ischemic stroke due to large vessel occlusion treated by thrombectomy. However, collateral status assessment mostly relies on single imaging biomarkers and a more comprehensive holistic approach may provide deeper insights into the biology of collateral perfusion on medical imaging. Comprehensive collateralization is defined as blood flow of cerebral arteries through the brain tissue and into draining veins. We hypothesized that a comprehensive analysis of the cerebral collateral cascade (CCC) on an arterial, tissue, and venous level would predict clinical and radiologic outcomes. METHODS This was a multicenter retrospective cohort study of patients with acute stroke undergoing thrombectomy triage. CCC was determined by quantifying pial arterial collaterals, tissue-level collaterals, and venous outflow (VO). Pial arterial collaterals were determined by CT angiography; tissue-level collaterals were assessed on CT perfusion. VO was assessed on CT angiography using the cortical vein opacification score. Three groups were defined: CCC+ (good pial collaterals, tissue-level collaterals, and VO), CCC- (poor pial collaterals, tissue-level collaterals, and VO), and CCCmixed (the remainder of the patients). Primary outcome was functional independence (modified Rankin Scale score 0-2) at 90 days. Secondary outcome was final infarct volume. RESULTS A total of 647 patients met inclusion criteria: 176 CCC+, 345 CCCmixed, and 126 CCC-. Multivariable ordinal logistic regression showed that CCC+ predicted good functional outcomes (odds ratio [OR] 18.9 [95% CI 8-44.5]; p < 0.001) compared with CCC- and CCCmixed. CCCmixed patients likely had better functional outcomes compared with CCC- patients (OR 2.5 [95% CI 1.2-5.4]; p = 0.014). Quantile regression analysis (50th percentile) showed that CCC+ (β -78.5, 95% CI -96.0 to -61.1; p < 0.001) and CCCmixed (β -64.0, 95% CI -82.4 to -45.6; p < 0.001) profiles were associated with considerably lower final infarct volumes compared with CCC- profiles. DISCUSSION Comprehensive assessment of the collateral blood flow cascade in patients with acute stroke is a strong predictor of clinical and radiologic outcomes in patients treated by thrombectomy.
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Affiliation(s)
- Tobias Djamsched Faizy
- From the Departments of Radiology (T.D.F., R.K., G.M.K., M.P.M., M.W., J.J.H.) and Neurology and Neurological Sciences (M.M., S.C., M.G.L., G.W.A.), Stanford University School of Medicine, CA; and Departments of Neuroradiology (T.D.F., R.K., F.F., G.B., J.F.) and Neurosurgery (M.M.M.), University Medical Center Hamburg-Eppendorf, Germany
| | - Michael Mlynash
- From the Departments of Radiology (T.D.F., R.K., G.M.K., M.P.M., M.W., J.J.H.) and Neurology and Neurological Sciences (M.M., S.C., M.G.L., G.W.A.), Stanford University School of Medicine, CA; and Departments of Neuroradiology (T.D.F., R.K., F.F., G.B., J.F.) and Neurosurgery (M.M.M.), University Medical Center Hamburg-Eppendorf, Germany
| | - Reza Kabiri
- From the Departments of Radiology (T.D.F., R.K., G.M.K., M.P.M., M.W., J.J.H.) and Neurology and Neurological Sciences (M.M., S.C., M.G.L., G.W.A.), Stanford University School of Medicine, CA; and Departments of Neuroradiology (T.D.F., R.K., F.F., G.B., J.F.) and Neurosurgery (M.M.M.), University Medical Center Hamburg-Eppendorf, Germany
| | - Soren Christensen
- From the Departments of Radiology (T.D.F., R.K., G.M.K., M.P.M., M.W., J.J.H.) and Neurology and Neurological Sciences (M.M., S.C., M.G.L., G.W.A.), Stanford University School of Medicine, CA; and Departments of Neuroradiology (T.D.F., R.K., F.F., G.B., J.F.) and Neurosurgery (M.M.M.), University Medical Center Hamburg-Eppendorf, Germany
| | - Gabriella Marie Kuraitis
- From the Departments of Radiology (T.D.F., R.K., G.M.K., M.P.M., M.W., J.J.H.) and Neurology and Neurological Sciences (M.M., S.C., M.G.L., G.W.A.), Stanford University School of Medicine, CA; and Departments of Neuroradiology (T.D.F., R.K., F.F., G.B., J.F.) and Neurosurgery (M.M.M.), University Medical Center Hamburg-Eppendorf, Germany
| | - Marius M Mader
- From the Departments of Radiology (T.D.F., R.K., G.M.K., M.P.M., M.W., J.J.H.) and Neurology and Neurological Sciences (M.M., S.C., M.G.L., G.W.A.), Stanford University School of Medicine, CA; and Departments of Neuroradiology (T.D.F., R.K., F.F., G.B., J.F.) and Neurosurgery (M.M.M.), University Medical Center Hamburg-Eppendorf, Germany
| | - Fabian Flottmann
- From the Departments of Radiology (T.D.F., R.K., G.M.K., M.P.M., M.W., J.J.H.) and Neurology and Neurological Sciences (M.M., S.C., M.G.L., G.W.A.), Stanford University School of Medicine, CA; and Departments of Neuroradiology (T.D.F., R.K., F.F., G.B., J.F.) and Neurosurgery (M.M.M.), University Medical Center Hamburg-Eppendorf, Germany
| | - Gabriel Broocks
- From the Departments of Radiology (T.D.F., R.K., G.M.K., M.P.M., M.W., J.J.H.) and Neurology and Neurological Sciences (M.M., S.C., M.G.L., G.W.A.), Stanford University School of Medicine, CA; and Departments of Neuroradiology (T.D.F., R.K., F.F., G.B., J.F.) and Neurosurgery (M.M.M.), University Medical Center Hamburg-Eppendorf, Germany
| | - Maarten G Lansberg
- From the Departments of Radiology (T.D.F., R.K., G.M.K., M.P.M., M.W., J.J.H.) and Neurology and Neurological Sciences (M.M., S.C., M.G.L., G.W.A.), Stanford University School of Medicine, CA; and Departments of Neuroradiology (T.D.F., R.K., F.F., G.B., J.F.) and Neurosurgery (M.M.M.), University Medical Center Hamburg-Eppendorf, Germany
| | - Gregory W Albers
- From the Departments of Radiology (T.D.F., R.K., G.M.K., M.P.M., M.W., J.J.H.) and Neurology and Neurological Sciences (M.M., S.C., M.G.L., G.W.A.), Stanford University School of Medicine, CA; and Departments of Neuroradiology (T.D.F., R.K., F.F., G.B., J.F.) and Neurosurgery (M.M.M.), University Medical Center Hamburg-Eppendorf, Germany
| | - Michael P Marks
- From the Departments of Radiology (T.D.F., R.K., G.M.K., M.P.M., M.W., J.J.H.) and Neurology and Neurological Sciences (M.M., S.C., M.G.L., G.W.A.), Stanford University School of Medicine, CA; and Departments of Neuroradiology (T.D.F., R.K., F.F., G.B., J.F.) and Neurosurgery (M.M.M.), University Medical Center Hamburg-Eppendorf, Germany
| | - Jens Fiehler
- From the Departments of Radiology (T.D.F., R.K., G.M.K., M.P.M., M.W., J.J.H.) and Neurology and Neurological Sciences (M.M., S.C., M.G.L., G.W.A.), Stanford University School of Medicine, CA; and Departments of Neuroradiology (T.D.F., R.K., F.F., G.B., J.F.) and Neurosurgery (M.M.M.), University Medical Center Hamburg-Eppendorf, Germany
| | - Max Wintermark
- From the Departments of Radiology (T.D.F., R.K., G.M.K., M.P.M., M.W., J.J.H.) and Neurology and Neurological Sciences (M.M., S.C., M.G.L., G.W.A.), Stanford University School of Medicine, CA; and Departments of Neuroradiology (T.D.F., R.K., F.F., G.B., J.F.) and Neurosurgery (M.M.M.), University Medical Center Hamburg-Eppendorf, Germany
| | - Jeremy J Heit
- From the Departments of Radiology (T.D.F., R.K., G.M.K., M.P.M., M.W., J.J.H.) and Neurology and Neurological Sciences (M.M., S.C., M.G.L., G.W.A.), Stanford University School of Medicine, CA; and Departments of Neuroradiology (T.D.F., R.K., F.F., G.B., J.F.) and Neurosurgery (M.M.M.), University Medical Center Hamburg-Eppendorf, Germany.
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22
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Hung SH, Kramer S, Werden E, Campbell BCV, Brodtmann A. Pre-stroke Physical Activity and Cerebral Collateral Circulation in Ischemic Stroke: A Potential Therapeutic Relationship? Front Neurol 2022; 13:804187. [PMID: 35242097 PMCID: PMC8886237 DOI: 10.3389/fneur.2022.804187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 01/12/2022] [Indexed: 11/13/2022] Open
Abstract
Favorable cerebral collateral circulation contributes to hindering penumbral tissue from progressing to infarction and is associated with positive clinical outcomes after stroke. Given its clinical importance, improving cerebral collateral circulation is considered a therapeutic target to reduce burden after stroke. We provide a hypothesis-generating discussion on the potential association between pre-stroke physical activity and cerebral collateral circulation in ischemic stroke. The recruitment of cerebral collaterals in acute ischemic stroke may depend on anatomical variations, capacity of collateral vessels to vasodilate, and individual risk factors. Physical activity is associated with improved cerebral endothelial and vascular function related to vasodilation and angiogenic adaptations, and risk reduction in individual risk factors. More research is needed to understand association between cerebral collateral circulation and physical activity. A presentation of different methodological considerations for measuring cerebral collateral circulation and pre-stroke physical activity in the context of acute ischemic stroke is included. Opportunities for future research into cerebral collateral circulation, physical activity, and stroke recovery is presented.
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Affiliation(s)
- Stanley Hughwa Hung
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Sharon Kramer
- Centre for Quality and Patient Safety Research, Alfred Health Partnership, Melbourne, VIC, Australia.,Faculty of Health, School of Nursing and Midwifery, Deakin University, Geelong, VIC, Australia
| | - Emilio Werden
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, VIC, Australia.,Melbourne Dementia Research Centre, The Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia
| | - Bruce C V Campbell
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, VIC, Australia.,Department of Medicine and Neurology, Melbourne Brain Centre at the Royal Melbourne Hospital, University of Melbourne, Parkville, VIC, Australia
| | - Amy Brodtmann
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, VIC, Australia.,Melbourne Dementia Research Centre, The Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia
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23
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Wolff L, Uniken Venema SM, Luijten SPR, Hofmeijer J, Martens JM, Bernsen MLE, van Es ACGM, van Doormaal PJ, Dippel DWJ, van Zwam W, van Walsum T, van der Lugt A. Diagnostic performance of an algorithm for automated collateral scoring on computed tomography angiography. Eur Radiol 2022; 32:5711-5718. [PMID: 35244761 PMCID: PMC9279191 DOI: 10.1007/s00330-022-08627-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 12/24/2021] [Accepted: 01/29/2022] [Indexed: 11/29/2022]
Abstract
OBJECTIVES Outcome of endovascular treatment in acute ischemic stroke patients depends on collateral circulation to provide blood supply to the ischemic territory. We evaluated the performance of a commercially available algorithm for assessing the collateral score (CS) in acute ischemic stroke patients. METHODS Retrospectively, baseline CTA scans (≤ 3-mm slice thickness) with an intracranial carotid artery (ICA), middle cerebral artery segment M1 or M2 occlusion, from the MR CLEAN Registry (n = 1627) were evaluated. All CTA scans were evaluated for visual CS (0-3) by eight expert radiologists (reference standard). A Web-based AI algorithm quantified the collateral circulation (0-100%) for correctly detected occlusion sides. Agreement between visual CS and categorized automated CS (0: 0%, 1: > 0- ≤ 50%, 2: > 50- < 100%, 3: 100%) was assessed. Area under the curve (AUC) values for classifying patients in having good (CS: 2-3) versus poor (CS: 0-1) collaterals and for predicting functional independence (90-day modified Rankin Scale 0-2) were computed. Influence of CTA acquisition timing after contrast material administration was reported. RESULTS In the analyzed scans (n = 1024), 59% agreement was found between visual CS and automated CS. An AUC of 0.87 (95% CI: 0.85-0.90) was found for discriminating good versus poor CS. Timing of CTA acquisition did not influence discriminatory performance. AUC for predicting functional independence was 0.66 (95% CI 0.62-0.69) for automated CS, similar to visual CS 0.64 (95% CI 0.61-0.68). CONCLUSIONS The automated CS performs similar to radiologists in determining a good versus poor collateral score and predicting functional independence in acute ischemic stroke patients with a large vessel occlusion. KEY POINTS • Software for automated quantification of intracerebral collateral circulation on computed tomography angiography performs similar to expert radiologists in determining a good versus poor collateral score. • Software for automated quantification of intracerebral collateral circulation on computed tomography angiography performs similar to expert radiologists in predicting functional independence in acute ischemic stroke patients with a large vessel occlusion. • The timing of computed tomography angiography acquisition after contrast material administration did not influence the performance of automated quantification of the collateral status.
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Affiliation(s)
- Lennard Wolff
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
| | - Simone M Uniken Venema
- Department of Neurology and Neurosurgery, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Sven P R Luijten
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | | | - Jasper M Martens
- Department of Radiology, Rijnstate Hospital, Arnhem, The Netherlands
| | | | - Adriaan C G M van Es
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Diederik W J Dippel
- Department of Neurology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Wim van Zwam
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Theo van Walsum
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Aad van der Lugt
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
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24
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DEMİR ÜNAL E, BEKTAŞ H, BAYINDIR H, KURŞUN O. Bio-clinical evaluation of collateral score in acute middle cerebral artery occlusion. Turk J Med Sci 2022; 52:195-205. [PMID: 34688242 PMCID: PMC10734885 DOI: 10.3906/sag-2103-301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Revised: 02/22/2022] [Accepted: 10/23/2021] [Indexed: 11/03/2022] Open
Abstract
BACKGROUND Acute ischemic stroke (AIS) is characterized as a neurological deficit owing to an acute focal damage to the brain by cerebral infarction. A collateral score is the most significant factor evaluating the prognosis of AIS, its relationship with demographic data, serum biochemical parameters, and clinical disability in this field. METHODS We conducted a single-center retrospective study with 100 patients with AIS within the first 6 h of ischemic stroke. Data for consecutive AIS patients were collected from February 2019 to May 2020. The collateral score was assessed by using developed scoring systems defined by Maas et al. The correlations between collateral score and demographic data, biochemical parameters, NIHSS scores (National Institutes of Health Stroke Scale), mRS (modified Rankin scale) scores were recorded. RESULTS The research was performed in 100 patients (median age, 71.55 ± 11.46 years), and there was a statistically significant difference between elevated erythrocyte distribution width (RDW) and Maas collateral score (insular cortex) (p = 0.024) and lymphocyte/ monocyte ratio (LMO) and Maas collateral (leptomeningeal) score (p = 0.025).
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Affiliation(s)
- Esra DEMİR ÜNAL
- Department of Neurology, Nevşehir City Hospital, Nevşehir,
Turkey
| | - Hesna BEKTAŞ
- Department of Neurology, Faculty of Medicine, Ankara Yıldırım Beyazıt University, Ankara,
Turkey
| | - Hasan BAYINDIR
- Department of Neurology, Ankara City Hospital, Ankara,
Turkey
| | - Oğuzhan KURŞUN
- Department of Neurology, Ankara City Hospital, Ankara,
Turkey
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25
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Lee S, Jiang B, Wintermark M, Mlynash M, Christensen S, Sträter R, Broocks G, Grams A, Dorn F, Nikoubashman O, Kaiser D, Morotti A, Jensen-Kondering U, Trenkler J, Möhlenbruch M, Fiehler J, Wildgruber M, Kemmling A, Psychogios M, Sporns PB. Cerebrovascular Collateral Integrity in Pediatric Large Vessel Occlusion: Analysis of the Save ChildS Study. Neurology 2022; 98:e352-e363. [PMID: 34795051 DOI: 10.1212/wnl.0000000000013081] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Revised: 09/22/2021] [Accepted: 11/04/2021] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Robust cerebrovascular collaterals in adult patients with large vessel occlusion stroke have been associated with longer treatment windows, better recanalization rates, and improved outcomes, but the role of collaterals in pediatric stroke is not known. The primary aim was to determine whether favorable collaterals correlated with better radiographic and clinical outcomes in children with ischemic stroke who underwent thrombectomy. METHODS This study analyzed a subset of children enrolled in SaveChildS, a retrospective, multicenter, observational cohort study of 73 pediatric patients with stroke who underwent thrombectomy between 2000 and 2018 at 27 US and European centers. Included patients had baseline angiographic imaging and follow-up modified Rankin Scale scores available for review. Posterior circulation occlusions were excluded. Cerebrovascular collaterals were graded on acute neuroimaging by 2 blinded neuroradiologists according to the Tan collateral score, in which favorable collaterals are defined as >50% filling and unfavorable collaterals as <50% filling distal to the occluded vessel. Collateral status was correlated with clinical and neuroimaging characteristics and outcomes. Between-group comparisons were performed with the Wilcoxon rank-sum test for continuous variables or Fisher exact test for binary variables. RESULTS Thirty-three children (mean age 10.9 [SD ±4.9]) years were included; 14 (42.4%) had favorable collaterals. Median final stroke volume as a percent of total brain volume (TBV) was significantly lower in patients with favorable collaterals (1.35% [interquartile range (IQR) 1.14%-3.76%] vs 7.86% [IQR 1.54%-11.07%], p = 0.049). Collateral status did not correlate with clinical outcome, infarct growth, or final Alberta Stroke Program Early CT Score (ASPECTS) in our cohort. Patients with favorable collaterals had higher baseline ASPECTS (7 [IQR 6-8] vs 5.5 [4-6], p = 0.006), smaller baseline ischemic volume (1.57% TBV [IQR 1.09%-2.29%] vs 3.42% TBV [IQR 1.26%-5.33%], p = 0.035), and slower early infarct growth rate (2.4 mL/h [IQR 1.5-5.1 mL/h] vs 10.4 mL/h [IQR 3.0-30.7 mL/h], p = 0.028). DISCUSSION Favorable collaterals were associated with smaller final stroke burden and slower early infarct growth rate but not with better clinical outcome in our study. Prospective studies are needed to determine the impact of collaterals in childhood stroke. CLASSIFICATION OF EVIDENCE This study provides Class II evidence that in children with ischemic stroke undergoing thrombectomy, favorable collaterals were associated with improved radiographic outcomes but not with better clinical outcomes.
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Affiliation(s)
- Sarah Lee
- From the Department of Neurology & Neurological Sciences, Stanford Stroke Center (S.L., M. Mlynash, S.C.), Department of Neurology & Neurological Sciences (S.L.), Division of Child Neurology, and Department of Radiology (B.J., M. Wintermark), Division of Neuroradiology, Stanford University School of Medicine, CA; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F., P.B.S.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (F.D.), University Hospital Bonn; Department of Neuroradiology (O.N.), RWTH Aachen University; Department of Neuroradiology (D.K.), University Hospital Carl Gustav Carus, Dresden, Germany; ASST Valcamonica (A.M.), UOSD Neurology, Esine (BS), Brescia, Italy; Department of Radiology and Neuroradiology (U.J.-K.), University Hospital of Schleswig-Holstein, Campus Kiel; Institute of Neuroradiology (U.J.-K.), UKSH Campus Lübeck, Germany; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M. Möhlenbruch), Heidelberg University Hospital; Department of Radiology (M. Wildgruber), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; and Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology & Nuclear Medicine, University Hospital Basel, Switzerland.
| | - Bin Jiang
- From the Department of Neurology & Neurological Sciences, Stanford Stroke Center (S.L., M. Mlynash, S.C.), Department of Neurology & Neurological Sciences (S.L.), Division of Child Neurology, and Department of Radiology (B.J., M. Wintermark), Division of Neuroradiology, Stanford University School of Medicine, CA; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F., P.B.S.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (F.D.), University Hospital Bonn; Department of Neuroradiology (O.N.), RWTH Aachen University; Department of Neuroradiology (D.K.), University Hospital Carl Gustav Carus, Dresden, Germany; ASST Valcamonica (A.M.), UOSD Neurology, Esine (BS), Brescia, Italy; Department of Radiology and Neuroradiology (U.J.-K.), University Hospital of Schleswig-Holstein, Campus Kiel; Institute of Neuroradiology (U.J.-K.), UKSH Campus Lübeck, Germany; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M. Möhlenbruch), Heidelberg University Hospital; Department of Radiology (M. Wildgruber), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; and Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology & Nuclear Medicine, University Hospital Basel, Switzerland
| | - Max Wintermark
- From the Department of Neurology & Neurological Sciences, Stanford Stroke Center (S.L., M. Mlynash, S.C.), Department of Neurology & Neurological Sciences (S.L.), Division of Child Neurology, and Department of Radiology (B.J., M. Wintermark), Division of Neuroradiology, Stanford University School of Medicine, CA; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F., P.B.S.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (F.D.), University Hospital Bonn; Department of Neuroradiology (O.N.), RWTH Aachen University; Department of Neuroradiology (D.K.), University Hospital Carl Gustav Carus, Dresden, Germany; ASST Valcamonica (A.M.), UOSD Neurology, Esine (BS), Brescia, Italy; Department of Radiology and Neuroradiology (U.J.-K.), University Hospital of Schleswig-Holstein, Campus Kiel; Institute of Neuroradiology (U.J.-K.), UKSH Campus Lübeck, Germany; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M. Möhlenbruch), Heidelberg University Hospital; Department of Radiology (M. Wildgruber), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; and Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology & Nuclear Medicine, University Hospital Basel, Switzerland
| | - Michael Mlynash
- From the Department of Neurology & Neurological Sciences, Stanford Stroke Center (S.L., M. Mlynash, S.C.), Department of Neurology & Neurological Sciences (S.L.), Division of Child Neurology, and Department of Radiology (B.J., M. Wintermark), Division of Neuroradiology, Stanford University School of Medicine, CA; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F., P.B.S.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (F.D.), University Hospital Bonn; Department of Neuroradiology (O.N.), RWTH Aachen University; Department of Neuroradiology (D.K.), University Hospital Carl Gustav Carus, Dresden, Germany; ASST Valcamonica (A.M.), UOSD Neurology, Esine (BS), Brescia, Italy; Department of Radiology and Neuroradiology (U.J.-K.), University Hospital of Schleswig-Holstein, Campus Kiel; Institute of Neuroradiology (U.J.-K.), UKSH Campus Lübeck, Germany; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M. Möhlenbruch), Heidelberg University Hospital; Department of Radiology (M. Wildgruber), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; and Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology & Nuclear Medicine, University Hospital Basel, Switzerland
| | - Soren Christensen
- From the Department of Neurology & Neurological Sciences, Stanford Stroke Center (S.L., M. Mlynash, S.C.), Department of Neurology & Neurological Sciences (S.L.), Division of Child Neurology, and Department of Radiology (B.J., M. Wintermark), Division of Neuroradiology, Stanford University School of Medicine, CA; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F., P.B.S.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (F.D.), University Hospital Bonn; Department of Neuroradiology (O.N.), RWTH Aachen University; Department of Neuroradiology (D.K.), University Hospital Carl Gustav Carus, Dresden, Germany; ASST Valcamonica (A.M.), UOSD Neurology, Esine (BS), Brescia, Italy; Department of Radiology and Neuroradiology (U.J.-K.), University Hospital of Schleswig-Holstein, Campus Kiel; Institute of Neuroradiology (U.J.-K.), UKSH Campus Lübeck, Germany; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M. Möhlenbruch), Heidelberg University Hospital; Department of Radiology (M. Wildgruber), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; and Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology & Nuclear Medicine, University Hospital Basel, Switzerland
| | - Ronald Sträter
- From the Department of Neurology & Neurological Sciences, Stanford Stroke Center (S.L., M. Mlynash, S.C.), Department of Neurology & Neurological Sciences (S.L.), Division of Child Neurology, and Department of Radiology (B.J., M. Wintermark), Division of Neuroradiology, Stanford University School of Medicine, CA; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F., P.B.S.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (F.D.), University Hospital Bonn; Department of Neuroradiology (O.N.), RWTH Aachen University; Department of Neuroradiology (D.K.), University Hospital Carl Gustav Carus, Dresden, Germany; ASST Valcamonica (A.M.), UOSD Neurology, Esine (BS), Brescia, Italy; Department of Radiology and Neuroradiology (U.J.-K.), University Hospital of Schleswig-Holstein, Campus Kiel; Institute of Neuroradiology (U.J.-K.), UKSH Campus Lübeck, Germany; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M. Möhlenbruch), Heidelberg University Hospital; Department of Radiology (M. Wildgruber), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; and Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology & Nuclear Medicine, University Hospital Basel, Switzerland
| | - Gabriel Broocks
- From the Department of Neurology & Neurological Sciences, Stanford Stroke Center (S.L., M. Mlynash, S.C.), Department of Neurology & Neurological Sciences (S.L.), Division of Child Neurology, and Department of Radiology (B.J., M. Wintermark), Division of Neuroradiology, Stanford University School of Medicine, CA; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F., P.B.S.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (F.D.), University Hospital Bonn; Department of Neuroradiology (O.N.), RWTH Aachen University; Department of Neuroradiology (D.K.), University Hospital Carl Gustav Carus, Dresden, Germany; ASST Valcamonica (A.M.), UOSD Neurology, Esine (BS), Brescia, Italy; Department of Radiology and Neuroradiology (U.J.-K.), University Hospital of Schleswig-Holstein, Campus Kiel; Institute of Neuroradiology (U.J.-K.), UKSH Campus Lübeck, Germany; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M. Möhlenbruch), Heidelberg University Hospital; Department of Radiology (M. Wildgruber), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; and Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology & Nuclear Medicine, University Hospital Basel, Switzerland
| | - Astrid Grams
- From the Department of Neurology & Neurological Sciences, Stanford Stroke Center (S.L., M. Mlynash, S.C.), Department of Neurology & Neurological Sciences (S.L.), Division of Child Neurology, and Department of Radiology (B.J., M. Wintermark), Division of Neuroradiology, Stanford University School of Medicine, CA; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F., P.B.S.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (F.D.), University Hospital Bonn; Department of Neuroradiology (O.N.), RWTH Aachen University; Department of Neuroradiology (D.K.), University Hospital Carl Gustav Carus, Dresden, Germany; ASST Valcamonica (A.M.), UOSD Neurology, Esine (BS), Brescia, Italy; Department of Radiology and Neuroradiology (U.J.-K.), University Hospital of Schleswig-Holstein, Campus Kiel; Institute of Neuroradiology (U.J.-K.), UKSH Campus Lübeck, Germany; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M. Möhlenbruch), Heidelberg University Hospital; Department of Radiology (M. Wildgruber), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; and Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology & Nuclear Medicine, University Hospital Basel, Switzerland
| | - Franziska Dorn
- From the Department of Neurology & Neurological Sciences, Stanford Stroke Center (S.L., M. Mlynash, S.C.), Department of Neurology & Neurological Sciences (S.L.), Division of Child Neurology, and Department of Radiology (B.J., M. Wintermark), Division of Neuroradiology, Stanford University School of Medicine, CA; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F., P.B.S.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (F.D.), University Hospital Bonn; Department of Neuroradiology (O.N.), RWTH Aachen University; Department of Neuroradiology (D.K.), University Hospital Carl Gustav Carus, Dresden, Germany; ASST Valcamonica (A.M.), UOSD Neurology, Esine (BS), Brescia, Italy; Department of Radiology and Neuroradiology (U.J.-K.), University Hospital of Schleswig-Holstein, Campus Kiel; Institute of Neuroradiology (U.J.-K.), UKSH Campus Lübeck, Germany; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M. Möhlenbruch), Heidelberg University Hospital; Department of Radiology (M. Wildgruber), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; and Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology & Nuclear Medicine, University Hospital Basel, Switzerland
| | - Omid Nikoubashman
- From the Department of Neurology & Neurological Sciences, Stanford Stroke Center (S.L., M. Mlynash, S.C.), Department of Neurology & Neurological Sciences (S.L.), Division of Child Neurology, and Department of Radiology (B.J., M. Wintermark), Division of Neuroradiology, Stanford University School of Medicine, CA; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F., P.B.S.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (F.D.), University Hospital Bonn; Department of Neuroradiology (O.N.), RWTH Aachen University; Department of Neuroradiology (D.K.), University Hospital Carl Gustav Carus, Dresden, Germany; ASST Valcamonica (A.M.), UOSD Neurology, Esine (BS), Brescia, Italy; Department of Radiology and Neuroradiology (U.J.-K.), University Hospital of Schleswig-Holstein, Campus Kiel; Institute of Neuroradiology (U.J.-K.), UKSH Campus Lübeck, Germany; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M. Möhlenbruch), Heidelberg University Hospital; Department of Radiology (M. Wildgruber), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; and Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology & Nuclear Medicine, University Hospital Basel, Switzerland
| | - Daniel Kaiser
- From the Department of Neurology & Neurological Sciences, Stanford Stroke Center (S.L., M. Mlynash, S.C.), Department of Neurology & Neurological Sciences (S.L.), Division of Child Neurology, and Department of Radiology (B.J., M. Wintermark), Division of Neuroradiology, Stanford University School of Medicine, CA; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F., P.B.S.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (F.D.), University Hospital Bonn; Department of Neuroradiology (O.N.), RWTH Aachen University; Department of Neuroradiology (D.K.), University Hospital Carl Gustav Carus, Dresden, Germany; ASST Valcamonica (A.M.), UOSD Neurology, Esine (BS), Brescia, Italy; Department of Radiology and Neuroradiology (U.J.-K.), University Hospital of Schleswig-Holstein, Campus Kiel; Institute of Neuroradiology (U.J.-K.), UKSH Campus Lübeck, Germany; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M. Möhlenbruch), Heidelberg University Hospital; Department of Radiology (M. Wildgruber), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; and Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology & Nuclear Medicine, University Hospital Basel, Switzerland
| | - Andrea Morotti
- From the Department of Neurology & Neurological Sciences, Stanford Stroke Center (S.L., M. Mlynash, S.C.), Department of Neurology & Neurological Sciences (S.L.), Division of Child Neurology, and Department of Radiology (B.J., M. Wintermark), Division of Neuroradiology, Stanford University School of Medicine, CA; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F., P.B.S.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (F.D.), University Hospital Bonn; Department of Neuroradiology (O.N.), RWTH Aachen University; Department of Neuroradiology (D.K.), University Hospital Carl Gustav Carus, Dresden, Germany; ASST Valcamonica (A.M.), UOSD Neurology, Esine (BS), Brescia, Italy; Department of Radiology and Neuroradiology (U.J.-K.), University Hospital of Schleswig-Holstein, Campus Kiel; Institute of Neuroradiology (U.J.-K.), UKSH Campus Lübeck, Germany; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M. Möhlenbruch), Heidelberg University Hospital; Department of Radiology (M. Wildgruber), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; and Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology & Nuclear Medicine, University Hospital Basel, Switzerland
| | - Ulf Jensen-Kondering
- From the Department of Neurology & Neurological Sciences, Stanford Stroke Center (S.L., M. Mlynash, S.C.), Department of Neurology & Neurological Sciences (S.L.), Division of Child Neurology, and Department of Radiology (B.J., M. Wintermark), Division of Neuroradiology, Stanford University School of Medicine, CA; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F., P.B.S.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (F.D.), University Hospital Bonn; Department of Neuroradiology (O.N.), RWTH Aachen University; Department of Neuroradiology (D.K.), University Hospital Carl Gustav Carus, Dresden, Germany; ASST Valcamonica (A.M.), UOSD Neurology, Esine (BS), Brescia, Italy; Department of Radiology and Neuroradiology (U.J.-K.), University Hospital of Schleswig-Holstein, Campus Kiel; Institute of Neuroradiology (U.J.-K.), UKSH Campus Lübeck, Germany; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M. Möhlenbruch), Heidelberg University Hospital; Department of Radiology (M. Wildgruber), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; and Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology & Nuclear Medicine, University Hospital Basel, Switzerland
| | - Johannes Trenkler
- From the Department of Neurology & Neurological Sciences, Stanford Stroke Center (S.L., M. Mlynash, S.C.), Department of Neurology & Neurological Sciences (S.L.), Division of Child Neurology, and Department of Radiology (B.J., M. Wintermark), Division of Neuroradiology, Stanford University School of Medicine, CA; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F., P.B.S.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (F.D.), University Hospital Bonn; Department of Neuroradiology (O.N.), RWTH Aachen University; Department of Neuroradiology (D.K.), University Hospital Carl Gustav Carus, Dresden, Germany; ASST Valcamonica (A.M.), UOSD Neurology, Esine (BS), Brescia, Italy; Department of Radiology and Neuroradiology (U.J.-K.), University Hospital of Schleswig-Holstein, Campus Kiel; Institute of Neuroradiology (U.J.-K.), UKSH Campus Lübeck, Germany; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M. Möhlenbruch), Heidelberg University Hospital; Department of Radiology (M. Wildgruber), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; and Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology & Nuclear Medicine, University Hospital Basel, Switzerland
| | - Markus Möhlenbruch
- From the Department of Neurology & Neurological Sciences, Stanford Stroke Center (S.L., M. Mlynash, S.C.), Department of Neurology & Neurological Sciences (S.L.), Division of Child Neurology, and Department of Radiology (B.J., M. Wintermark), Division of Neuroradiology, Stanford University School of Medicine, CA; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F., P.B.S.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (F.D.), University Hospital Bonn; Department of Neuroradiology (O.N.), RWTH Aachen University; Department of Neuroradiology (D.K.), University Hospital Carl Gustav Carus, Dresden, Germany; ASST Valcamonica (A.M.), UOSD Neurology, Esine (BS), Brescia, Italy; Department of Radiology and Neuroradiology (U.J.-K.), University Hospital of Schleswig-Holstein, Campus Kiel; Institute of Neuroradiology (U.J.-K.), UKSH Campus Lübeck, Germany; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M. Möhlenbruch), Heidelberg University Hospital; Department of Radiology (M. Wildgruber), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; and Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology & Nuclear Medicine, University Hospital Basel, Switzerland
| | - Jens Fiehler
- From the Department of Neurology & Neurological Sciences, Stanford Stroke Center (S.L., M. Mlynash, S.C.), Department of Neurology & Neurological Sciences (S.L.), Division of Child Neurology, and Department of Radiology (B.J., M. Wintermark), Division of Neuroradiology, Stanford University School of Medicine, CA; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F., P.B.S.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (F.D.), University Hospital Bonn; Department of Neuroradiology (O.N.), RWTH Aachen University; Department of Neuroradiology (D.K.), University Hospital Carl Gustav Carus, Dresden, Germany; ASST Valcamonica (A.M.), UOSD Neurology, Esine (BS), Brescia, Italy; Department of Radiology and Neuroradiology (U.J.-K.), University Hospital of Schleswig-Holstein, Campus Kiel; Institute of Neuroradiology (U.J.-K.), UKSH Campus Lübeck, Germany; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M. Möhlenbruch), Heidelberg University Hospital; Department of Radiology (M. Wildgruber), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; and Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology & Nuclear Medicine, University Hospital Basel, Switzerland
| | - Moritz Wildgruber
- From the Department of Neurology & Neurological Sciences, Stanford Stroke Center (S.L., M. Mlynash, S.C.), Department of Neurology & Neurological Sciences (S.L.), Division of Child Neurology, and Department of Radiology (B.J., M. Wintermark), Division of Neuroradiology, Stanford University School of Medicine, CA; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F., P.B.S.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (F.D.), University Hospital Bonn; Department of Neuroradiology (O.N.), RWTH Aachen University; Department of Neuroradiology (D.K.), University Hospital Carl Gustav Carus, Dresden, Germany; ASST Valcamonica (A.M.), UOSD Neurology, Esine (BS), Brescia, Italy; Department of Radiology and Neuroradiology (U.J.-K.), University Hospital of Schleswig-Holstein, Campus Kiel; Institute of Neuroradiology (U.J.-K.), UKSH Campus Lübeck, Germany; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M. Möhlenbruch), Heidelberg University Hospital; Department of Radiology (M. Wildgruber), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; and Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology & Nuclear Medicine, University Hospital Basel, Switzerland
| | - André Kemmling
- From the Department of Neurology & Neurological Sciences, Stanford Stroke Center (S.L., M. Mlynash, S.C.), Department of Neurology & Neurological Sciences (S.L.), Division of Child Neurology, and Department of Radiology (B.J., M. Wintermark), Division of Neuroradiology, Stanford University School of Medicine, CA; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F., P.B.S.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (F.D.), University Hospital Bonn; Department of Neuroradiology (O.N.), RWTH Aachen University; Department of Neuroradiology (D.K.), University Hospital Carl Gustav Carus, Dresden, Germany; ASST Valcamonica (A.M.), UOSD Neurology, Esine (BS), Brescia, Italy; Department of Radiology and Neuroradiology (U.J.-K.), University Hospital of Schleswig-Holstein, Campus Kiel; Institute of Neuroradiology (U.J.-K.), UKSH Campus Lübeck, Germany; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M. Möhlenbruch), Heidelberg University Hospital; Department of Radiology (M. Wildgruber), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; and Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology & Nuclear Medicine, University Hospital Basel, Switzerland
| | - Marios Psychogios
- From the Department of Neurology & Neurological Sciences, Stanford Stroke Center (S.L., M. Mlynash, S.C.), Department of Neurology & Neurological Sciences (S.L.), Division of Child Neurology, and Department of Radiology (B.J., M. Wintermark), Division of Neuroradiology, Stanford University School of Medicine, CA; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F., P.B.S.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (F.D.), University Hospital Bonn; Department of Neuroradiology (O.N.), RWTH Aachen University; Department of Neuroradiology (D.K.), University Hospital Carl Gustav Carus, Dresden, Germany; ASST Valcamonica (A.M.), UOSD Neurology, Esine (BS), Brescia, Italy; Department of Radiology and Neuroradiology (U.J.-K.), University Hospital of Schleswig-Holstein, Campus Kiel; Institute of Neuroradiology (U.J.-K.), UKSH Campus Lübeck, Germany; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M. Möhlenbruch), Heidelberg University Hospital; Department of Radiology (M. Wildgruber), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; and Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology & Nuclear Medicine, University Hospital Basel, Switzerland
| | - Peter B Sporns
- From the Department of Neurology & Neurological Sciences, Stanford Stroke Center (S.L., M. Mlynash, S.C.), Department of Neurology & Neurological Sciences (S.L.), Division of Child Neurology, and Department of Radiology (B.J., M. Wintermark), Division of Neuroradiology, Stanford University School of Medicine, CA; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F., P.B.S.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (F.D.), University Hospital Bonn; Department of Neuroradiology (O.N.), RWTH Aachen University; Department of Neuroradiology (D.K.), University Hospital Carl Gustav Carus, Dresden, Germany; ASST Valcamonica (A.M.), UOSD Neurology, Esine (BS), Brescia, Italy; Department of Radiology and Neuroradiology (U.J.-K.), University Hospital of Schleswig-Holstein, Campus Kiel; Institute of Neuroradiology (U.J.-K.), UKSH Campus Lübeck, Germany; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M. Möhlenbruch), Heidelberg University Hospital; Department of Radiology (M. Wildgruber), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; and Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology & Nuclear Medicine, University Hospital Basel, Switzerland
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Chen NH, Zhang YM, Jiang FP, Liu S, Zhao HD, Hou JK, Jiang T, Shi JQ, Zhou JS, Zhang YD. FLAIR vascular hyperintensity predicts early neurological deterioration in patients with acute ischemic stroke receiving endovascular thrombectomy. Neurol Sci 2022; 43:3747-3757. [PMID: 35064345 DOI: 10.1007/s10072-021-05853-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 12/26/2021] [Indexed: 02/06/2023]
Abstract
Fluid-attenuated inversion recovery vascular hyperintensity (FVH) is frequently observed in patients with acute ischemic stroke (AIS). FVH is associated with functional outcome at 3 months in AIS patients receiving endovascular thrombectomy. In the present study, we assessed whether FVH predicted early neurological deterioration (END) and hemorrhagic transformation (HT) within 72 h in AIS patients receiving endovascular thrombectomy. We retrospectively analyzed 104 patients with acute internal-carotid-artery or proximal middle-cerebral-artery occlusion within 16 h after symptom onset. Before thrombectomy, all patients underwent brain magnetic resonance imaging. END was defined as an increase of 4 points or more from baseline National Institutes of Health Stroke Scale (NIHSS) during 72 h following onset. HT was assessed by brain computed tomography. Statistical analyses were performed to predict END and HT. The proportion of high FVH score, high American Society of Intervention and Therapeutic Neuroradiology/Society of Interventional Radiology (ASITN/SIR) grade in non-END group was higher than that in END group (p < 0.001, p < 0.001, respectively). FVH score was positively correlated with ASITN/SIR grade (r = 0.461, p < 0.001). FVH score was a predictor factor for END (adjusted OR, 13.552; 95% CI, 2.408-76.260; p = 0.003), while FVH score was not a predictor factor for HT. Furthermore, NIHSS at admission (adjusted OR, 1.112; 95% CI, 1.006-1.228; p = 0.038) and high-density lipoprotein cholesterol (adjusted OR, 18.865; 95% CI, 2.998-118.683; p = 0.002) were predictor factors for HT. To assess FVH score before thrombectomy might be useful for predicting END in AIS patients receiving endovascular thrombectomy.
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Affiliation(s)
- Ni-Hong Chen
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, No.68, Changle Road, Nanjing, Jiangsu Province, 210006, People's Republic of China
| | - Yi-Ming Zhang
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, No.68, Changle Road, Nanjing, Jiangsu Province, 210006, People's Republic of China
| | - Fu-Ping Jiang
- Department of Geriatrics, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu Province, 210006, People's Republic of China
| | - Shen Liu
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, No.68, Changle Road, Nanjing, Jiangsu Province, 210006, People's Republic of China
| | - Hong-Dong Zhao
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, No.68, Changle Road, Nanjing, Jiangsu Province, 210006, People's Republic of China
| | - Jian-Kang Hou
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, No.68, Changle Road, Nanjing, Jiangsu Province, 210006, People's Republic of China
| | - Teng Jiang
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, No.68, Changle Road, Nanjing, Jiangsu Province, 210006, People's Republic of China
| | - Jian-Quan Shi
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, No.68, Changle Road, Nanjing, Jiangsu Province, 210006, People's Republic of China.
| | - Jun-Shan Zhou
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, No.68, Changle Road, Nanjing, Jiangsu Province, 210006, People's Republic of China.
| | - Ying-Dong Zhang
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, No.68, Changle Road, Nanjing, Jiangsu Province, 210006, People's Republic of China.
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27
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Faizy TD, Kabiri R, Christensen S, Mlynash M, Kuraitis G, Broocks G, Hanning U, Nawabi J, Lansberg MG, Marks MP, Albers GW, Fiehler J, Wintermark M, Heit JJ. Perfusion imaging-based tissue-level collaterals predict ischemic lesion net water uptake in patients with acute ischemic stroke and large vessel occlusion. J Cereb Blood Flow Metab 2021; 41:2067-2075. [PMID: 33557694 PMCID: PMC8327120 DOI: 10.1177/0271678x21992200] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Ischemic lesion Net Water Uptake (NWU) quantifies cerebral edema formation and likely correlates with the microvascular perfusion status of patients with acute ischemic stroke due to large vessel occlusion (AIS-LVO). We hypothesized that favorable tissue-level collaterals (TLC) predict less NWU and good functional outcomes. We performed a retrospective multicenter analysis of AIS-LVO patients who underwent thrombectomy triage. TLC were measured on cerebral perfusion studies using the hypoperfusion intensity ratio (HIR; volume ratio of brain tissue with [Tmax > 10 sec/Tmax > 6 sec]); favorable TLC were regarded as HIR ≤ 0.4. NWU was determined using a quantitative densitometry approach on follow-up CT. Primary outcome was NWU. Secondary outcome was a good functional outcome (modified Rankin Scale [mRS] 0-2).580 patients met inclusion criteria. Favorable TLC (β: 4.23, SE: 0.65; p < 0.001) predicted smaller NWU after treatment. Favorable TLC (OR: 2.35, [95% CI: 1.31-4.21]; p < 0.001), and decreased NWU (OR: 0.75, [95% CI: 0.70-0.79]; p < 0.001) predicted good functional outcome, while controlling for age, glucose, CTA collaterals, baseline NIHSS and good vessel reperfusion status.We conclude that favorable TLC predict less ischemic lesion NWU after treatment in AIS-LVO patients. Favorable TLC and decreased NWU were independent predictors of good functional outcome.
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Affiliation(s)
- Tobias D Faizy
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Reza Kabiri
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Soren Christensen
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Michael Mlynash
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Gabriella Kuraitis
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Gabriel Broocks
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Uta Hanning
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jawed Nawabi
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.,Department of Radiology (CCM), Charité, Universitätsmedizin Berlin, Campus Mitte, Humboldt-Universität zu Berlin, Freie Universität Berlin, Berlin, Germany
| | - Maarten G Lansberg
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Michael P Marks
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Gregory W Albers
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Jens Fiehler
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Max Wintermark
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Jeremy J Heit
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
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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: 1.7] [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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29
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Cui C, Hong Y, Bao J, He L. The diagnostic reliability and validity of noninvasive imaging modalities to assess leptomeningeal collateral flow for ischemic stroke patients: A systematic review and meta-analysis. Medicine (Baltimore) 2021; 100:e25543. [PMID: 33950927 PMCID: PMC8104240 DOI: 10.1097/md.0000000000025543] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Accepted: 03/23/2021] [Indexed: 02/05/2023] Open
Abstract
Leptomeningeal collateral flow (LMF) is associated with infarct area and clinical outcome for ischemic stroke patients. Although LMF can be detected by multiple imaging methods, but their diagnostic performance is uncertain.The aim of this study was to evaluate the diagnostic validity or reliability of noninvasive image methods in assessing LMF.Databases included PubMed, Web of Science, Embase, and Cochrane Library.Original observational cohort studies.Ischemic stroke patients.Different noninvasive image methods to assess LMF.Newcastle-Ottawa Scale to evaluate the quality of the studies; forest plot to show pooled results; I2 and Egger test to evaluate the heterogeneity and publication bias.Thirty of the 126 selected studies were eligible. For CT angiography, the interobserver agreement ranged from 0.494 to 0.93 and weighted kappa was 0.888; for patients receiving thrombolysis or endovascular treatment, 0.68 to 0.91; 0.494 to 0.89 for the 2-point system, 0.60 to 0.93 for the 3-point system, 0.68 to 0.87 for the system of >4 points; area under the curve (AUC) was 0.78. For perfusion computed tomography (CTP), the interobserver agreement ranged from 0.724 to 0.872; for patients receiving thrombolysis or endovascular treatment, 0.74 to 0.872; 0.724 for the 2-point system, 0.783 to 0.953 for the 3-point system; the intraobserver agreement was 0.884; AUC was 0.826. For MRI-fluid attenuated inversion recovery (FLAIR), the interobserver agreement ranged from 0.58 to 0.86; for patients receiving thrombolysis or endovascular treatment, 0.75 to 0.86; 0.86 for the two-point system, 0.77 to 0.87 for the system of more than 5 points; AUC was 0.82.No pooled data of CTP and FLAIR. The difference cohort study had difference bias. The unpublished data were not included.CT angiography is a good tool for assessing LMF. CTP shows a good validity and reliability, but its diagnostic value needs more evidence. FLAIR is a good modality to assess LMF. These image methods had better validity and reliability to evaluate LMF of patients receiving thrombolysis or endovascular treatment than all ischemic stroke patients.
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30
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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: 40] [Impact Index Per Article: 13.3] [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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Fisher JA, Mikulis DJ. Cerebrovascular Reactivity: Purpose, Optimizing Methods, and Limitations to Interpretation - A Personal 20-Year Odyssey of (Re)searching. Front Physiol 2021; 12:629651. [PMID: 33868001 PMCID: PMC8047146 DOI: 10.3389/fphys.2021.629651] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2020] [Accepted: 03/10/2021] [Indexed: 11/18/2022] Open
Abstract
The brain is a neurovascular organ. A stimulus-response approach is effective in interrogating the physiology of its vasculature. Ideally, the stimulus is standardized across patients, and in a single patient over time. We developed a standard stimulus and attempted to measure, classify, and interpret the many forms of responses. Over the past 20 years, our work has delivered nuanced insights into normal cerebral vascular physiology, as well as adaptive physiological responses in the presence of disease. The trajectory of our understanding did not follow a logical linear progression; rather, it emerged as a coalescence of new, old, and previously dismissed, ideas that had accumulated over time. In this essay, we review what we believe were our most valuable - and sometimes controversial insights during our two decades-long journey.
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Affiliation(s)
- Joseph A. Fisher
- Department of Physiology, University of Toronto, Toronto, ON, Canada
- Department of Anaesthesia and Pain Management, University Health Network, University of Toronto, Toronto, ON, Canada
| | - David J. Mikulis
- Joint Department of Medical Imaging and the Functional Neuroimaging Lab, University Health Network, Toronto, ON, Canada
- The Joint Department of Medical Imaging, Toronto Western Hospital, University of Toronto, Toronto, ON, Canada
- Techna Institute & Koerner Scientist in MR Imaging, University Health Network, Toronto, ON, Canada
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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: 9] [Impact Index Per Article: 3.0] [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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He G, Wei L, Lu H, Li Y, Zhao Y, Zhu Y. Advances in imaging acute ischemic stroke: evaluation before thrombectomy. Rev Neurosci 2021; 32:495-512. [PMID: 33600678 DOI: 10.1515/revneuro-2020-0061] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Accepted: 08/05/2020] [Indexed: 11/15/2022]
Abstract
Recent advances in neuroimaging have demonstrated significant assessment benefits and appropriate triage of patients based on specific clinical and radiological features in the acute stroke setting. Endovascular thrombectomy is arguably the most important aspect of acute stroke management with an extended time window. Imaging-based physiological information may potentially shift the treatment paradigm from a rigid time-based model to a more flexible and individualized, tissue-based approach, increasing the proportion of patients amenable to treatment. Various imaging modalities are routinely used in the diagnosis and management of acute ischemic stroke, including multimodal computed tomography (CT) and magnetic resonance imaging (MRI). Therefore, these imaging methods should provide information beyond the presence or absence of intracranial hemorrhage as well as the presence and extent of the ischemic core, collateral circulation and penumbra in patients with neurological symptoms. Target mismatch may optimize selection of patients with late or unknown symptom onset who would potentially be eligible for revascularization therapy. The purpose of this study was to provide a comprehensive review of the current evidence about efficacy and theoretical basis of present imaging modalities, and explores future directions for imaging in the management of acute ischemic stroke.
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Affiliation(s)
- Guangchen He
- Department of Radiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, No. 600, Yishan Road, Shanghai200233, China
| | - Liming Wei
- Department of Radiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, No. 600, Yishan Road, Shanghai200233, China
| | - Haitao Lu
- Department of Radiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, No. 600, Yishan Road, Shanghai200233, China
| | - Yuehua Li
- Department of Radiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, No. 600, Yishan Road, Shanghai200233, China
| | - Yuwu Zhao
- Department of Neurology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, No. 600, Yishan Road, Shanghai200233, China
| | - Yueqi Zhu
- Department of Radiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, No. 600, Yishan Road, Shanghai200233, China
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Tahir RA, Affan M, Marin H, Haider SA, Alsrouji OK, Ahmad A, Chebl AB, Katramados A, Van Harn M, Kole M. Quantification of pial collateral pressure in acute large vessel occlusion stroke: basic concept with patient outcomes. Neuroradiology 2021; 63:1313-1323. [PMID: 33507337 DOI: 10.1007/s00234-021-02641-x] [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: 10/30/2020] [Accepted: 01/06/2021] [Indexed: 11/26/2022]
Abstract
PURPOSE Pial collateral perfusion to the ischemic penumbra plays a critical role in determining patient outcomes in acute stroke. We aimed to assess the validity and reliability of an intra-procedural technique for measuring and quantifying the pial collateral pressure (QPCP) to ischemic brain tissue during acute stroke secondary to LVO. QPCP measurements were correlated with standard computed tomography angiography (CTA) and digital subtraction angiography imaging assessments of pial collateral perfusion and outcomes after mechanical endovascular revascularization (MER). METHODS This prospective cohort study included 60 consecutive patients with middle cerebral artery (MCA)-M1 and proximal M2 occlusions. QPCP measurements were obtained during MER. The validity of QPCP measurements was evaluated using four widely accepted collateral grading scales. QPCP measurements were also analyzed as a predictor of patient outcomes utilizing National Institute of Health Stroke Scale reduction at 24 h and modified Rankin Scale (mRS) scores at 30 days. RESULTS QPCP measurements and QPCP ratio (QPCP/systemic mean arterial blood pressure) showed a statistically significant association with single-phase pretreatment CTA Maas and American Society of Interventional and Therapeutic Neuroradiology/Society of Interventional Radiology binary grading scales. Patient outcomes demonstrated for every 10-unit increase in QPCP, the odds of mRS 0-2 at 30 days increased by 76% (p = 0.019). CONCLUSION QPCP measurements related best with the pretreatment CTA Maas collateral grading scale but were more strongly associated with patient outcomes than any of the four widely accepted collateral grading scales. Greater QPCP was significantly associated with better overall patient outcomes as defined by mRS at 30 days.
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Affiliation(s)
- Rizwan A Tahir
- Department of Neurosurgery, Henry Ford Hospital, 2799 West Grand Blvd, Detroit, MI, 48202, USA
| | - Muhammad Affan
- Department of Neurology, Henry Ford Hospital, 2799 West Grand Blvd, Detroit, MI, 48202, USA
| | - Horia Marin
- Department of Neurosurgery, Henry Ford Hospital, 2799 West Grand Blvd, Detroit, MI, 48202, USA
- Department of Radiology, Henry Ford Hospital, 2799 West Grand Blvd, Detroit, MI, 48202, USA
| | - Sameah A Haider
- Department of Neurosurgery, Henry Ford Hospital, 2799 West Grand Blvd, Detroit, MI, 48202, USA
| | - Owais Khadem Alsrouji
- Department of Neurology, Henry Ford Hospital, 2799 West Grand Blvd, Detroit, MI, 48202, USA
| | - Ayesha Ahmad
- Department of Neurology, Henry Ford Hospital, 2799 West Grand Blvd, Detroit, MI, 48202, USA
| | - Alex Bou Chebl
- Department of Neurology, Henry Ford Hospital, 2799 West Grand Blvd, Detroit, MI, 48202, USA
| | - Angelos Katramados
- Department of Neurology, Henry Ford Hospital, 2799 West Grand Blvd, Detroit, MI, 48202, USA
| | - Meredith Van Harn
- Department of Public Health Sciences, Henry Ford Hospital, 2799 West Grand Blvd, Detroit, MI, 48202, USA
| | - Max Kole
- Department of Neurosurgery, Henry Ford Hospital, 2799 West Grand Blvd, Detroit, MI, 48202, USA.
- Department of Radiology, Henry Ford Hospital, 2799 West Grand Blvd, Detroit, MI, 48202, USA.
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Yang L, Ling Y, Wu F, Cheng X, Dong Q, Cao W. Comparison of methods between CT perfusion source images and CT angiography in collateral flow assessment. Acta Radiol 2021; 62:73-79. [PMID: 32228031 DOI: 10.1177/0284185120911893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND The methods used for grading leptomeningeal collateral flow (LMF) on single-phase computed tomography angiography (CTA) are heterogeneous and limited by temporal resolution. PURPOSE To compare the reliability of relative filling time delay (rFTD) on CT perfusion source images (CTP-SI) and the currently used single-phase CTA collateral assessment methods and evaluate their ability to predict clinical outcomes in acute ischemic stroke patients. MATERIAL AND METHODS We analyzed consecutive middle cerebral artery or internal carotid artery occlusion patients who received multimodal CT before treatment and within 12 h of stroke symptom onset from October 2015 to December 2018. Patients were dichotomized using the 90-day mRS into good (0-1) versus adverse (2-6) outcomes. CTP-SI was used to identify the rFTD score. CTA images were reconstructed to assess collateral status using the collateral score (Cs) and region leptomeningeal collateral score (rLMCs). Two observers independently assessed images. RESULTS The baseline characteristics (n = 54) were median age of 67 years and 68.5% of the participants were men. The baseline median NIHSS was 14. Good clinical outcomes were observed in 19 (35.2%) patients. The k value was higher for rFTDs (k = 0.779, P < 0.001) than Cs (k = 0.666, P < 0.001) and rLMCs (k = 0.763, P < 0.001). Higher rFTDs were correlated with lower rLMCs (Spearman's rho -0.68, P < 0.001) and Cs (rho -0.66, P < 0.001). In multivariate logistic regression, rFTD was associated with functional outcomes (P = 0.044). CONCLUSION The rFTDs method is comparable to single-phase CTA-based assessments in assessing LMFs in acute ischemic stroke patients. Higher rFTDs is independently associated with adverse long-term functional outcomes.
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Affiliation(s)
- Lumeng Yang
- Department of Neurology and Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, PR China
| | - Yifeng Ling
- Department of Neurology and Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, PR China
| | - Fei Wu
- Department of Neurology and Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, PR China
| | - Xin Cheng
- Department of Neurology and Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, PR China
| | - Qiang Dong
- Department of Neurology and Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, PR China
- State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, PR China
| | - Wenjie Cao
- Department of Neurology and Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, PR China
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Derraz I, Pou M, Labreuche J, Legrand L, Soize S, Tisserand M, Rosso C, Piotin M, Boulouis G, Oppenheim C, Naggara O, Bracard S, Clarençon F, Lapergue B, Bourcier R. Clot Burden Score and Collateral Status and Their Impact on Functional Outcome in Acute Ischemic Stroke. AJNR Am J Neuroradiol 2021; 42:42-48. [PMID: 33184069 DOI: 10.3174/ajnr.a6865] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Accepted: 08/12/2020] [Indexed: 12/17/2022]
Abstract
BACKGROUND AND PURPOSE Collateral status and thrombus length have been independently associated with functional outcome in patients with acute ischemic stroke. It has been suggested that thrombus length would influence functional outcome via interaction with the collateral circulation. We investigated the individual and combined effects of thrombus length assessed by the clot burden score and collateral status assessed by a FLAIR vascular hyperintensity-ASPECTS rating system on functional outcome (mRS). MATERIALS AND METHODS Patients with anterior circulation acute ischemic stroke due to large-vessel occlusion from the ASTER and THRACE trials treated with endovascular thrombectomy were pooled. The clot burden score and FLAIR vascular hyperintensity score were determined on MR imaging obtained before endovascular thrombectomy. Favorable outcome was defined as an mRS score of 0-2 at 90 days. Association of the clot burden score and the FLAIR vascular hyperintensity score with favorable outcome (individual effect and interaction) was examined using logistic regression models. RESULTS Of the 326 patients treated by endovascular thrombectomy with both the clot burden score and FLAIR vascular hyperintensity assessment, favorable outcome was observed in 165 (51%). The rate of favorable outcome increased with clot burden score (smaller clots) and FLAIR vascular hyperintensity (better collaterals) values. The association between clot burden score and functional outcome was significantly modified by the FLAIR vascular hyperintensity score, and this association was stronger in patients with good collaterals, with an adjusted OR = 6.15 (95% CI, 1.03-36.81). CONCLUSIONS The association between the clot burden score and functional outcome varied for different collateral scores. The FLAIR vascular hyperintensity score might be a valuable prognostic factor, especially when contrast-based vascular imaging is not available.
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Affiliation(s)
- I Derraz
- From the Department of Neuroradiology (I.D.), Hôpital Gui de Chauliac, Montpellier University Medical Center, Montpellier, France
| | - M Pou
- Department of Neuroradiology (M.P., F.C.)
| | - J Labreuche
- Santé publique: épidémiologie et qualité des soins (J.L.), University of Lille, Centre Hospitalier Universitaire Lille, Lille, France
| | - L Legrand
- Department of Neuroradiology (L.L., G.B., C.O., O.N.), Groupe Hospitalier Universitaire site Sainte-Anne, Institut de Psychiatrie et Neurosciences de Paris, National Institute for Health and Medical Research, Université de Paris, Paris, France
| | - S Soize
- Department of Neuroradiology (S.S.), Centre Hospitalier Universitaire Reims, Reims, France
| | | | - C Rosso
- Institut du Cerveau et de la Moelle épinière (C.R.), Sorbonne Université, Institut du Cerveau, National Institute for Health and Medical Research U 1127, Urgences Cérébro-Vasculaires, Hôpital Pitié-Salpêtrière, Paris, France
| | - M Piotin
- Department of Interventional Neuroradiology (M.P.), Rothschild Fondation, Paris, France
| | - G Boulouis
- Department of Neuroradiology (L.L., G.B., C.O., O.N.), Groupe Hospitalier Universitaire site Sainte-Anne, Institut de Psychiatrie et Neurosciences de Paris, National Institute for Health and Medical Research, Université de Paris, Paris, France
| | - C Oppenheim
- Department of Neuroradiology (L.L., G.B., C.O., O.N.), Groupe Hospitalier Universitaire site Sainte-Anne, Institut de Psychiatrie et Neurosciences de Paris, National Institute for Health and Medical Research, Université de Paris, Paris, France
| | - O Naggara
- Department of Neuroradiology (L.L., G.B., C.O., O.N.), Groupe Hospitalier Universitaire site Sainte-Anne, Institut de Psychiatrie et Neurosciences de Paris, National Institute for Health and Medical Research, Université de Paris, Paris, France
| | - S Bracard
- Department of Neuroradiology (S.B.), Regional and University Hospital Centre Nancy, Nancy, France
| | | | - B Lapergue
- Stroke Center (B.L.), Foch Hospital, Suresnes, France
| | - R Bourcier
- Department of Diagnostic and Interventional Neuroradiology (R.B.), Guillaume et René Laennec University Hospital, Nantes, France
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Abstract
PURPOSE OF REVIEW This article reviews the actual indications for mechanical thrombectomy in patients with acute ischemic stroke and how the opportunities for endovascular therapy can be expanded by using the concept of clinical-imaging or perfusion-imaging mismatch (as a surrogate for salvageable tissue) rather than time of ischemia. RECENT FINDINGS Six randomized controlled trials undoubtedly confirmed the benefits of using endovascular thrombectomy on the clinical outcome of patients with stroke with large vessel occlusion within 6 hours from symptom onset compared with those receiving only standard medical care. In a meta-analysis of individual patient data, the number needed to treat with endovascular thrombectomy to reduce disability by at least one level on the modified Rankin Scale for one patient was 2.6. Recently, the concept of "tissue window" versus time window has proved useful for selecting patients for mechanical thrombectomy up to 24 hours from symptom onset. The DAWN (DWI or CTP Assessment With Clinical Mismatch in the Triage of Wake-Up and Late Presenting Strokes Undergoing Neurointervention) trial included patients at a median of 12.5 hours from onset and showed the largest effect in functional outcome ever described in any acute stroke treatment trial (35.5% increase in functional independence). In DEFUSE 3 (Diffusion and Perfusion Imaging Evaluation for Understanding Stroke Evolution 3), patients treated with mechanical thrombectomy at a median of 11 hours after onset had a 28% increase in functional independence and an additional 20% absolute reduction in death or severe disability. SUMMARY For patients with acute ischemic stroke and a large vessel occlusion in the proximal anterior circulation who can be treated within 6 hours of stroke symptom onset, mechanical thrombectomy with a second-generation stent retriever or a catheter aspiration device should be indicated regardless of whether the patient received treatment with intravenous (IV) recombinant tissue plasminogen activator (rtPA) in patients with limited signs of early ischemic changes on neuroimaging. Two clinical trials completely disrupted the time window concept in acute ischemic stroke, showing excellent clinical outcomes in patients treated up to 24 hours from symptom onset. Time of ischemia is, on average, a good biomarker for tissue viability; however, the window of opportunity for treatment varies across different individuals because of a range of compensatory mechanisms. Adjusting time to the adequacy of collateral flow leads to the concept of tissue window, a paradigm shift in stroke reperfusion therapy.
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Kauw F, Dankbaar JW, Martin BW, Ding VY, Boothroyd DB, van Ommen F, de Jong HW, Kappelle LJ, Velthuis BK, Heit JJ, Wintermark M. Collateral Status in Ischemic Stroke: A Comparison of Computed Tomography Angiography, Computed Tomography Perfusion, and Digital Subtraction Angiography. J Comput Assist Tomogr 2020; 44:984-992. [PMID: 33196604 PMCID: PMC7668337 DOI: 10.1097/rct.0000000000001090] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Accepted: 07/01/2020] [Indexed: 11/26/2022]
Abstract
OBJECTIVE To compare assessment of collaterals by single-phase computed tomography (CT) angiography (CTA) and CT perfusion-derived 3-phase CTA, multiphase CTA and temporal maximum-intensity projection (tMIP) images to digital subtraction angiography (DSA), and relate collateral assessments to clinical outcome in patients with acute ischemic stroke. METHODS Consecutive acute ischemic stroke patients who underwent CT perfusion, CTA, and DSA before thrombectomy with occlusion of the internal carotid artery, the M1 or the M2 segments were included. Two observers assessed all CT images and one separate observer assessed DSA (reference standard) with static and dynamic (modified American Society of Interventional and Therapeutic Neuroradiology) collateral grading methods. Interobserver agreement and concordance were quantified with Cohen-weighted κ and concordance correlation coefficient, respectively. Imaging assessments were related to clinical outcome (modified Rankin Scale, ≤ 2). RESULTS Interobserver agreement (n = 101) was 0.46 (tMIP), 0.58 (3-phase CTA), 0.67 (multiphase CTA), and 0.69 (single-phase CTA) for static assessments and 0.52 (3-phase CTA) and 0.54 (multiphase CTA) for dynamic assessments. Concordance correlation coefficient (n = 80) was 0.08 (3-phase CTA), 0.09 (single-phase CTA), and 0.23 (multiphase CTA) for static assessments and 0.10 (3-phase CTA) and 0.27 (multiphase CTA) for dynamic assessments. Higher static collateral scores on multiphase CTA (odds ratio [OR], 1.7; 95% confidence interval [CI], 1.1-2.7) and tMIP images (OR, 2.0; 95% CI, 1.1-3.4) were associated with modified Rankin Scale of 2 or less as were higher modified American Society of Interventional and Therapeutic Neuroradiology scores on 3-phase CTA (OR, 1.5; 95% CI, 1.1-2.2) and multiphase CTA (OR, 1.7; 95% CI, 1.1-2.6). CONCLUSIONS Concordance between assessments on CT and DSA was poor. Collateral status evaluated on 3-phase CTA and multiphase CTA, but not on DSA, was associated with clinical outcome.
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Affiliation(s)
- Frans Kauw
- From the Department of Neuroradiology, Stanford University, Palo Alto, CA
- Department of Radiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Jan W. Dankbaar
- Department of Radiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Blake W. Martin
- From the Department of Neuroradiology, Stanford University, Palo Alto, CA
| | - Victoria Y. Ding
- Center for Biomedical Informatics Research, Stanford University, Palo Alto, CA
| | - Derek B. Boothroyd
- Center for Biomedical Informatics Research, Stanford University, Palo Alto, CA
| | - Fasco van Ommen
- From the Department of Neuroradiology, Stanford University, Palo Alto, CA
- Department of Radiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Hugo W.A.M. de Jong
- Department of Radiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - L. Jaap Kappelle
- Brain Center, Department of Neurology and Neurosurgery, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Birgitta K. Velthuis
- Department of Radiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Jeremy J. Heit
- From the Department of Neuroradiology, Stanford University, Palo Alto, CA
| | - Max Wintermark
- From the Department of Neuroradiology, Stanford University, Palo Alto, CA
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Verdolotti T, Pilato F, Cottonaro S, Monelli E, Giordano C, Guadalupi P, Benenati M, Ramaglia A, Costantini AM, Alexandre A, Di Iorio R, Colosimo C. ColorViz, a New and Rapid Tool for Assessing Collateral Circulation during Stroke. Brain Sci 2020; 10:brainsci10110882. [PMID: 33233665 PMCID: PMC7699692 DOI: 10.3390/brainsci10110882] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Revised: 11/11/2020] [Accepted: 11/18/2020] [Indexed: 11/21/2022] Open
Abstract
Prognosis of patients with acute ischemic stroke is strictly related to the patency and prominence of the collateral leptomeningeal pathways distal to the arterial occlusion. The gold standard for assessment of collateral circulation is conventional angiography, but it is invasive and used in selected cases. To date, the most reliable technique is multiphase CTA; currently, the available classifications of collateral circles are often complex, time-consuming, and require a trained observer. The purpose of our work is to establish the effectiveness of a new semi-automatic post-processing software (ColorViz FastStroke, GE Healthcare, Milwaukee, Wisconsin) in evaluation of collateral circulation compared to the six-point classifications of multiphase CTA already validated in literature. We selected 86 patients with anterior ischemic stroke symptoms who underwent multiphasic CTA in our emergency department. Two radiologists separately evaluated the collateral leptomeningeal vessels, analyzing respectively, the multiphase CTA (using the six-point scale and its trichotomized form) and ColorViz (using a three-point scale). Then the results were matched. We found a good correlation between the two different analyses; the main advantage of ColorViz is that, while maintaining fast diagnostic times, it allows a simpler and more immediate evaluation of collateral circulation, especially for less experienced radiologists.
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Affiliation(s)
- Tommaso Verdolotti
- UOC Radiologia e Neuroradiologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy; (A.M.C.); (A.A.); (C.C.)
- Correspondence:
| | - Fabio Pilato
- Neurology, Neurophysiology and Neurobiology Unit, Department of Medicine, Università Campus bio-medico di Roma, 00128 Rome, Italy;
| | - Simone Cottonaro
- Dipartimento di Diagnostica per Immagini, Università Cattolica del Sacro Cuore, Istituto di Radiologia, 00168 Rome, Italy; (S.C.); (E.M.); (C.G.); (P.G.)
| | - Edoardo Monelli
- Dipartimento di Diagnostica per Immagini, Università Cattolica del Sacro Cuore, Istituto di Radiologia, 00168 Rome, Italy; (S.C.); (E.M.); (C.G.); (P.G.)
| | - Carolina Giordano
- Dipartimento di Diagnostica per Immagini, Università Cattolica del Sacro Cuore, Istituto di Radiologia, 00168 Rome, Italy; (S.C.); (E.M.); (C.G.); (P.G.)
| | - Pamela Guadalupi
- Dipartimento di Diagnostica per Immagini, Università Cattolica del Sacro Cuore, Istituto di Radiologia, 00168 Rome, Italy; (S.C.); (E.M.); (C.G.); (P.G.)
| | - Massimo Benenati
- Dipartimento di Diagnostica per Immagini, Radioterapia, Oncologia ed Ematologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy; (M.B.); (A.R.)
| | - Antonia Ramaglia
- Dipartimento di Diagnostica per Immagini, Radioterapia, Oncologia ed Ematologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy; (M.B.); (A.R.)
| | - Alessandro Maria Costantini
- UOC Radiologia e Neuroradiologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy; (A.M.C.); (A.A.); (C.C.)
| | - Andrea Alexandre
- UOC Radiologia e Neuroradiologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy; (A.M.C.); (A.A.); (C.C.)
| | - Riccardo Di Iorio
- Neurology Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy;
| | - Cesare Colosimo
- UOC Radiologia e Neuroradiologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy; (A.M.C.); (A.A.); (C.C.)
- Dipartimento di Diagnostica per Immagini, Università Cattolica del Sacro Cuore, Istituto di Radiologia, 00168 Rome, Italy; (S.C.); (E.M.); (C.G.); (P.G.)
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Ko CC, Liu HM, Chen TY, Wu TC, Tsai LK, Tang SC, Tsui YK, Jeng JS. Prediction of mTICI 3 recanalization and clinical outcomes in endovascular thrombectomy for acute ischemic stroke: a retrospective study in the Taiwan registry. Neurol Sci 2020; 42:2325-2335. [PMID: 33037513 DOI: 10.1007/s10072-020-04800-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Accepted: 10/05/2020] [Indexed: 11/25/2022]
Abstract
PURPOSE Early recanalization for acute ischemic stroke (AIS) due to large vessel occlusion (LVO) by endovascular thrombectomy (EVT) is strongly related to improved functional outcomes. With data obtained from the Taiwan registry, the factors associated with mTICI 3 recanalization and clinical outcomes in EVT are investigated. METHODS From January 2014 to September 2016, 108 patients who underwent EVT for AIS due to LVO in 11 medical centers throughout Taiwan were included. Complete recanalization is defined as achieving modified thrombolysis in cerebral infarction (mTICI) grade 3. Good clinical outcomes are defined by the modified Rankin scale (mRS) 0-2 at 3 months after EVT. Clinical and imaging parameters for predicting mTICI 3 recanalization and good clinical outcomes are analyzed. RESULTS Of the 108 patients who received EVT, 54 (50%) patients had mTICI 3 recanalization. Having received aspiration only and the use of IV-tPA are shown to be significant predictors for mTICI 3 recanalization with odds ratios of 2.61 and 2.53 respectively. Forty-six (42.6%) patients experienced good 3-month clinical outcomes (mRS 0-2). Pretreatment collateral statuses, NIHSS scores, time lapses between symptoms to needle, and the occurrence of hemorrhage at 24 h are all significant predictors for good outcomes with odds ratios of 2.88, 0.91, 0.99, and 0.31 respectively. CONCLUSIONS Prediction of mTICI 3 recanalization and clinical outcomes offer valuable clinical information for treatment planning in EVT.
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Affiliation(s)
- Ching-Chung Ko
- Department of Medical Imaging, Chi Mei Medical Center, No.901, Zhonghua Rd., Yongkang District, Tainan City, 71004, Taiwan, Republic of China
- Department of Health and Nutrition, Chia Nan University of Pharmacy and Science, Tainan, Taiwan
| | - Hon-Man Liu
- Department of Medical Imaging, Fu Jen Catholic University Hospital, Fu Jen Catholic University, No.69, Guizi Rd., Taishan Dist, New Taipei City, 24352, Taiwan, Republic of China
- Department of Medical Imaging, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei City, Taiwan
| | - Tai-Yuan Chen
- Department of Medical Imaging, Chi Mei Medical Center, No.901, Zhonghua Rd., Yongkang District, Tainan City, 71004, Taiwan, Republic of China
- Graduate Institute of Medical Sciences, Chang Jung Christian University, Tainan, Taiwan
| | - Te-Chang Wu
- Department of Medical Imaging, Chi Mei Medical Center, No.901, Zhonghua Rd., Yongkang District, Tainan City, 71004, Taiwan, Republic of China
- Graduate Institute of Medical Sciences, Chang Jung Christian University, Tainan, Taiwan
- Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei, Taiwan
| | - Li-Kai Tsai
- Stroke Center and Department of Neurology, National Taiwan University Hospital, No. 7, Chung-Shan South Road, Taipei City, 100, Taiwan, Republic of China
| | - Sung-Chun Tang
- Stroke Center and Department of Neurology, National Taiwan University Hospital, No. 7, Chung-Shan South Road, Taipei City, 100, Taiwan, Republic of China
| | - Yu-Kun Tsui
- Department of Medical Imaging, Chi Mei Medical Center, No.901, Zhonghua Rd., Yongkang District, Tainan City, 71004, Taiwan, Republic of China.
| | - Jiann-Shing Jeng
- Stroke Center and Department of Neurology, National Taiwan University Hospital, No. 7, Chung-Shan South Road, Taipei City, 100, Taiwan, Republic of China
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Sobczyk O, Sam K, Mandell DM, Crawley AP, Venkatraghavan L, McKetton L, Poublanc J, Duffin J, Fisher JA, Mikulis DJ. Cerebrovascular Reactivity Assays Collateral Function in Carotid Stenosis. Front Physiol 2020; 11:1031. [PMID: 33041841 PMCID: PMC7528398 DOI: 10.3389/fphys.2020.01031] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Accepted: 07/28/2020] [Indexed: 01/24/2023] Open
Abstract
In patients with carotid artery stenosis (CAS), the risk of stroke, its severity, and response to revascularization are strongly related to the availability of collateral blood flow. Unfortunately, there is poor agreement between observers in assessing collateral flow using flow-based imaging. We used changes in blood-oxygen-level-dependent (BOLD) MRI as a surrogate of changes in regional cerebral blood flow in response to a hypercapnic stimulus [i.e., cerebrovascular reactivity (CVR)] as indicating flow reserve ipsilateral to CAS. We hypothesized that some patients with hemodynamically significant CAS develop functional collateral flow as indicated by normalization of ipsilateral CVR. We identified 55 patients in our CVR database with various degrees of CAS assessed by angiography and classed them as <50% stenosis, 50–69% stenosis, 70–90% stenosis, >90% stenosis, and full occlusion. CVR was measured as the change in BOLD signal in response to changes in end-tidal partial pressure of CO2 (Δ BOLD/Δ PETCO2) and normalized voxel-wise relative to the mean and standard deviation of the CVR in the corresponding voxels of an atlas of 46 healthy controls (CVR z scores). CVR and z scores were then averaged over gray matter (GM) and white matter (WM) on each side of the middle cerebral artery (MCA) territory. As hypothesized, CVR varied for each severity of CAS. Ipsilateral MCA territory CVR was less than normal in each class, including that with <50% stenosis (Student t-test, two-tailed; p = 0.0014 for GM and p = 0.030 for WM), with a trend of decreasing average CVR with increasing stenosis. Remarkably, the considerable individual variability in MCA CVR included some patients with normal CVR in each class – including that with complete occlusion. We conclude that, in general, CAS depresses downstream vascular reserve, but the extent of collateralization is highly variable and not predictable from the degree of stenosis, including both <50% stenosis and complete occlusion. CVR may be the more reliable marker for recruitable collateral blood flow than degree of CAS.
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Affiliation(s)
- Olivia Sobczyk
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada.,Joint Department of Medical Imaging and the Functional Neuroimaging Laboratory, University Health Network, Toronto, ON, Canada
| | - Kevin Sam
- Joint Department of Medical Imaging and the Functional Neuroimaging Laboratory, University Health Network, Toronto, ON, Canada
| | - Daniel M Mandell
- Joint Department of Medical Imaging and the Functional Neuroimaging Laboratory, University Health Network, Toronto, ON, Canada
| | - Adrian P Crawley
- Joint Department of Medical Imaging and the Functional Neuroimaging Laboratory, University Health Network, Toronto, ON, Canada
| | | | - Larissa McKetton
- Joint Department of Medical Imaging and the Functional Neuroimaging Laboratory, University Health Network, Toronto, ON, Canada
| | - Julien Poublanc
- Joint Department of Medical Imaging and the Functional Neuroimaging Laboratory, University Health Network, Toronto, ON, Canada
| | - James Duffin
- Department of Anaesthesia and Pain Management, University Health Network, Toronto, ON, Canada.,Department of Physiology, University of Toronto, Toronto, ON, Canada
| | - Joseph A Fisher
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada.,Department of Anaesthesia and Pain Management, University Health Network, Toronto, ON, Canada.,Department of Physiology, University of Toronto, Toronto, ON, Canada
| | - David J Mikulis
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada.,Joint Department of Medical Imaging and the Functional Neuroimaging Laboratory, University Health Network, Toronto, ON, Canada
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Uwano I, Kameda H, Harada T, Kobayashi M, Yanagihara W, Setta K, Ogasawara K, Yoshioka K, Yamashita F, Mori F, Matsuda T, Sasaki M. Detection of impaired cerebrovascular reactivity in patients with chronic cerebral ischemia using whole-brain 7T MRA. J Stroke Cerebrovasc Dis 2020; 29:105081. [DOI: 10.1016/j.jstrokecerebrovasdis.2020.105081] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Revised: 06/16/2020] [Accepted: 06/19/2020] [Indexed: 11/28/2022] Open
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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: 2.8] [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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Baek JH, Kim BM, Kim JW, Kim DJ, Heo JH, Nam HS, Kim YD. Utility of Leptomeningeal Collaterals in Predicting Intracranial Atherosclerosis-Related Large Vessel Occlusion in Endovascular Treatment. J Clin Med 2020; 9:jcm9092784. [PMID: 32872197 PMCID: PMC7564225 DOI: 10.3390/jcm9092784] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2020] [Revised: 08/25/2020] [Accepted: 08/27/2020] [Indexed: 12/22/2022] Open
Abstract
Earlier or preprocedural identification of occlusion pathomechanism is crucial for effective endovascular treatment. As leptomeningeal collaterals tend to develop well in chronic ischemic conditions such as intracranial atherosclerosis (ICAS), we investigated whether leptomeningeal collaterals can be a preprocedural marker of ICAS-related large vessel occlusion (ICAS-LVO) in endovascular treatment. A total of 226 patients who underwent endovascular treatment were retrospectively reviewed. We compared the pattern of leptomeningeal collaterals between patients with ICAS-LVO and without. Leptomeningeal collaterals were assessed by preprocedural computed tomography angiography (CTA) and basically categorized by three different collateral assessment methods. Better leptomeningeal collaterals were significantly associated with ICAS-LVO, although they were not independent for ICAS-LVO. When leptomeningeal collaterals were dichotomized to incomplete (<100%) and complete (100%), the latter was significantly more frequent in patients with ICAS-LVO (52.5% versus 20.4%) and remained an independent factor for ICAS-LVO (odds ratio, 3.32; 95% confidence interval, 1.52-7.26; p = 0.003). The area under the curve (AUC) value of complete leptomeningeal collateral supply was 0.660 for discrimination of ICAS-LVO. Incomplete leptomeningeal collateral supply was not likely ICAS-LVO, based on the high negative predictive value (88.6%). Considering its negative predictive value and the independent association between complete leptomeningeal collateral supply and ICAS-LVO, leptomeningeal collaterals could be helpful in the preprocedural determination of occlusion pathomechanism.
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Affiliation(s)
- Jang-Hyun Baek
- Department of Neurology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 03181, Korea;
- Department of Neurology, Severance Stroke Center, Severance Hospital, Yonsei University College of Medicine, Seoul 03722, Korea; (J.H.H.); (H.S.N.); (Y.D.K.)
| | - Byung Moon Kim
- Interventional Neuroradiology, Severance Stroke Center, Severance Hospital, Department of Radiology, Yonsei University College of Medicine, Seoul 03722, Korea;
- Correspondence: ; Tel.: +82-2-2228-7400
| | - Jin Woo Kim
- Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul 06273, Korea;
| | - Dong Joon Kim
- Interventional Neuroradiology, Severance Stroke Center, Severance Hospital, Department of Radiology, Yonsei University College of Medicine, Seoul 03722, Korea;
| | - Ji Hoe Heo
- Department of Neurology, Severance Stroke Center, Severance Hospital, Yonsei University College of Medicine, Seoul 03722, Korea; (J.H.H.); (H.S.N.); (Y.D.K.)
| | - Hyo Suk Nam
- Department of Neurology, Severance Stroke Center, Severance Hospital, Yonsei University College of Medicine, Seoul 03722, Korea; (J.H.H.); (H.S.N.); (Y.D.K.)
| | - Young Dae Kim
- Department of Neurology, Severance Stroke Center, Severance Hospital, Yonsei University College of Medicine, Seoul 03722, Korea; (J.H.H.); (H.S.N.); (Y.D.K.)
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Raychev R, Liebeskind DS, Yoo AJ, Rasmussen M, Arnaudov D, Brown S, Saver J, Simonsen CZ. Physiologic predictors of collateral circulation and infarct growth during anesthesia - Detailed analyses of the GOLIATH trial. J Cereb Blood Flow Metab 2020; 40:1203-1212. [PMID: 31366300 PMCID: PMC7238375 DOI: 10.1177/0271678x19865219] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Collateral circulation plays a pivotal role in acute ischemic stroke due to large vessel occlusion (LVO) and may be affected by multiple variables during sedation for endovascular therapy (EVT). We conducted detailed analyses of the GOLIATH trial to identify predictors of collateral circulation grade and infarct growth. We also modified the ASITN collateral grading scale and sought to determine its impact on clinical outcome and infarct growth. Multivariable analysis was used to identify predictors of collaterals and infarct growth. Ordinal analysis demonstrated nominal, but non-significant association between modified ASITN scale and infarct growth. Among all analyzed baseline clinical and procedural variables, the most significant predictors of infarct growth at 24 h were phenylephrine dose (estimate 6.78; p = 0.014) and baseline infarct volume (estimate 0.93; p = 0.03). The most significant predictors of worse collateral grade were mean arterial pressure (MAP) <70 mmHg (OR 0.35; p = 0.048) and baseline infarct volume (OR 0.96; p = 0.003). Hypotension during sedation for EVT for LVO negatively impacts collateral circulation, while higher pressor dose is a strong predictor of infarct growth. Avoidance of anesthesia-induced hypotension and consequent need for pressor therapy may prevent collateral failure and minimize infarct growth.
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Affiliation(s)
- Radoslav Raychev
- Department of Neurology and Comprehensive Stroke Center, University of California Los Angeles David Geffen School of Medicine, Los Angeles, CA, USA
| | - David S Liebeskind
- Department of Neurology and Comprehensive Stroke Center, University of California Los Angeles David Geffen School of Medicine, Los Angeles, CA, USA
| | - Albert J Yoo
- Division of Neurointervention, Texas Stroke Institute, Texas, TX, USA
| | - Mads Rasmussen
- Department of Anesthesiology and Critical Care Medicine, Section of Neuroanesthesiology, Aarhus University Hospital, Aarhus, Denmark
| | - Dimiter Arnaudov
- Department of Anesthesiology, Keck Hospital of USC, Glendale, CA, USA
| | - Scott Brown
- BRIGHT Research Partners, Minneapolis, MN, USA
| | - Jeffrey Saver
- Department of Neurology and Comprehensive Stroke Center, University of California Los Angeles David Geffen School of Medicine, Los Angeles, CA, USA
| | - Claus Z Simonsen
- Department of Neurology, Aarhus University Hospital, Aarhus, Denmark
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Trillo S, Ramos MC, Aguirre C, Caniego JL, Bárcena E, Bashir S, Zapata-Wainberg G, Alcántara-Miranda P, Díaz-Pérez C, Barbosa A, Manzanares R, Ximénez-Carrillo Á, Garrido J, Nombela F, Vivancos J. Assessment of Collateral Circulation Using Perfusion CT in Middle Cerebral Artery Thrombectomy-Treated Patients. J Stroke Cerebrovasc Dis 2020; 29:104805. [PMID: 32334917 DOI: 10.1016/j.jstrokecerebrovasdis.2020.104805] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Revised: 02/27/2020] [Accepted: 03/04/2020] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION The prognostic value of leptomeningeal collateral circulation in thrombectomy-treated patients remains unclear. We evaluated the construct validity of assessing leptomeningeal collateral circulation using a new regional perfusion CT source image-based approach, the Perfusion Acquisition for THrombectomy Scale (PATHS). We also compared the prognostic value of PATHS with a further 6 scales based on various techniques: CT-angiography, perfusion CT, and digital subtraction angiography. Additionally, we studied the relationship between the scores for the different scales. PATIENTS AND METHODS We performed a retrospective study of consecutive patients with stroke and M1/terminal carotid occlusion treated with thrombectomy in our center. Leptomeningeal collateral circulation was prospectively evaluated using 7 scales: Tan and Miteff (CT Angiography); Calleja, Cao, American Society of Intervention and Therapeutic Neuroradiology/Society of Interventional Radiology, and PATHS (perfusion); and Christoforidis (Digital Subtraction Angiography). Correlations were studied using the Spearman method. RESULTS The study population comprised 108 patients. All scales predicted the modified Rankin Scale at 3 months (P ≤ .02) and all but 1 (Christoforidis) correlated with 24-hour brain infarct volume (P ≤ .02). These correlations were higher with PATHS (rho = -0.47, P < .001 for 3-month modified Rankin Scale; rho = -0.35, P < .001 for follow-up infarct volume). The multivariate analysis showed PATHS to be an independent predictor of modified Rankin Scale at 3 months less than equal to 2. A crosscorrelation analysis revealed a better correlation between scales that used the same techniques. CONCLUSIONS PATHS can be used to assess leptomeningeal collateral circulation. PATHS had better prognostic value than other scales; therefore, it might be considered for assessment of leptomeningeal collateral circulation in candidates for thrombectomy. The moderate correlation between scales suggests that scores are not interchangeable.
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Affiliation(s)
- Santiago Trillo
- Stroke Unit, Neurology Department, La Princesa University Hospital, La Princesa Institute for Health Research, Madrid, Spain.
| | - María Carmen Ramos
- Stroke Unit, Neurology Department, La Princesa University Hospital, La Princesa Institute for Health Research, Madrid, Spain
| | - Clara Aguirre
- Stroke Unit, Neurology Department, La Princesa University Hospital, La Princesa Institute for Health Research, Madrid, Spain
| | - José Luis Caniego
- Neurointerventional Radiology, Radiology Department, La Princesa University Hospital, La Princesa Institute for Health Research, Madrid, Spain
| | - Eduardo Bárcena
- Neurointerventional Radiology, Radiology Department, La Princesa University Hospital, La Princesa Institute for Health Research, Madrid, Spain
| | - Saima Bashir
- Stroke Unit, Neurology Department, La Princesa University Hospital, La Princesa Institute for Health Research, Madrid, Spain
| | - Gustavo Zapata-Wainberg
- Stroke Unit, Neurology Department, La Princesa University Hospital, La Princesa Institute for Health Research, Madrid, Spain
| | - Pilar Alcántara-Miranda
- Stroke Unit, Neurology Department, La Princesa University Hospital, La Princesa Institute for Health Research, Madrid, Spain
| | - Carolina Díaz-Pérez
- Stroke Unit, Neurology Department, La Princesa University Hospital, La Princesa Institute for Health Research, Madrid, Spain
| | - Antonio Barbosa
- Diagnostic Neuroradiology, Radiology Department, La Princesa University Hospital, La Princesa Institute for Health Research, Madrid, Spain
| | - Rafael Manzanares
- Diagnostic Neuroradiology, Radiology Department, La Princesa University Hospital, La Princesa Institute for Health Research, Madrid, Spain
| | - Álvaro Ximénez-Carrillo
- Stroke Unit, Neurology Department, La Princesa University Hospital, La Princesa Institute for Health Research, Madrid, Spain
| | - Jesús Garrido
- Methodological Support Unit, La Princesa University Hospital, La Princesa Institute for Health Research, Madrid, Spain
| | - Florentino Nombela
- Stroke Unit, Neurology Department, La Princesa University Hospital, La Princesa Institute for Health Research, Madrid, Spain
| | - José Vivancos
- Stroke Unit, Neurology Department, La Princesa University Hospital, La Princesa Institute for Health Research, Madrid, Spain
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Tang R, Zhang Q, Chen Y, Liu S, Haacke EM, Chang BG, Xia S. Strategically acquired gradient echo (STAGE)-derived MR angiography might be a superior alternative method to time-of-flight MR angiography in visualization of leptomeningeal collaterals. Eur Radiol 2020; 30:5110-5119. [PMID: 32307565 DOI: 10.1007/s00330-020-06840-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2019] [Revised: 02/28/2020] [Accepted: 03/25/2020] [Indexed: 12/23/2022]
Abstract
OBJECTIVES This study aimed to compare the performance of strategically acquired gradient echo (STAGE)-derived MR angiography and time-of-flight MR angiography (TOF-MRA) in visualization of leptomeningeal collaterals (LMCs). METHODS Between May 2018 and January 2020, 75 participants (47 healthy volunteers and 28 intracranial atherosclerotic disease [ICAD] patients) undergoing TOF-MRA and STAGE-MRA were prospectively included. Image quality was scored at the internal carotid artery (ICA) terminus, proximal middle cerebral artery (MCA), and LMCs. Quantitative analysis included calculation of contrast-to-noise ratios (CNRs) in the M1-4 segments and number of LMCs counted in the line signal intensity profiles. Comparisons of image qualitative scores, CNRs, and number of LMCs were calculated using the Wilcoxon rank-sum test. RESULTS Image qualitative scores were significantly higher in STAGE-MRA than in TOF-MRA for the ICA terminus, proximal MCA, and LMCs (ps < 0.05) in 75 participants. When referred to digital subtraction angiography (DSA) in 25 ICAD patients, STAGE-MRA showed higher qualitative scores only at LMCs. CNRs in the M1-4 segments were significantly higher in STAGE-MRA than in TOF-MRA (218.7 ± 90.7 vs 176.2 ± 72.6, 195.7 ± 86.0 vs 146.6 ± 71.7, 176.4 ± 71.6 vs 125.8 ± 61.1, 126.2 ± 62.9 vs 78.8 ± 43.6; all ps < 0.001). STAGE-MRA showed more LMCs (11.4 ± 3.4) than TOF-MRA (8.4 ± 3.3) with p < 0.05. CONCLUSIONS STAGE-MRA might be superior to TOF-MRA in qualitative and quantitative assessment of LMCs in both healthy volunteers and ICAD patients; thus, it may serve as an alternative method in evaluating LMC. KEY POINTS • Strategically acquired gradient echo (STAGE)-derived magnetic resonance angiography is a newly developed sequence with a pair of rephasing/dephasing gradient echoes. • STAGE-MRA enables higher image qualitative score, improves contrast-to-noise ratio, and shows greater number of leptomeningeal collaterals (LMCs) in healthy volunteers and patients with intracranial atherosclerotic disease. • LMC visualization by STAGE-MRA shows good to excellent inter-observer agreement.
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Affiliation(s)
- Ruowei Tang
- Department of Radiology, Tianjin First Central Hospital, 24 Fukang Road, Nankai District, Tianjin, 300192, China.,Department of Radiology, Beijing Friendship Hospital, Capital Medical University, 95 Yong'an Road, Xicheng District, Beijing, 100050, China
| | - Qingqing Zhang
- Department of Radiology, Tianjin First Central Hospital, 24 Fukang Road, Nankai District, Tianjin, 300192, China.,Department of Radiology, First Central Clinical College, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, China
| | - Yongsheng Chen
- Department of Neurology, Wayne State University School of Medicine, 4201 St Antoine, Detroit, MI, 48201, USA
| | - Song Liu
- Department of Radiology, Tianjin First Central Hospital, 24 Fukang Road, Nankai District, Tianjin, 300192, China.,Department of Radiology, First Central Clinical College, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, China
| | - Ewart Mark Haacke
- Department of Radiology, Wayne State University School of Medicine, 4201 St Antoine, Detroit, MI, 48201, USA
| | - Bin-Ge Chang
- Department of Neurosurgery, Tianjin First Central Hospital, 24 Fukang Road, Nankai District, Tianjin, 300192, China
| | - Shuang Xia
- Department of Radiology, Tianjin First Central Hospital, 24 Fukang Road, Nankai District, Tianjin, 300192, China.
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Bonney PA, Walcott BP, Singh P, Nguyen PL, Sanossian N, Mack WJ. The Continued Role and Value of Imaging for Acute Ischemic Stroke. Neurosurgery 2020; 85:S23-S30. [PMID: 31197337 DOI: 10.1093/neuros/nyz068] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2018] [Accepted: 02/26/2019] [Indexed: 11/12/2022] Open
Abstract
Advances in neuroimaging in the last 2 decades have revolutionized the management of acute ischemic stroke (AIS). Here we review the development of computed tomography (CT) and magnetic resonance imaging (MRI) modalities used to guide treatment of patients with AIS characterized by large vessel occlusion. In particular, we highlight recent randomized trials and their patient selection methodologies to detail the progression of these selection paradigms. With advanced imaging, distinction between at-risk penumbra and ischemic core in AIS may be performed using either CT or MRI. While limitations exist for methodologies to quantify core and penumbra, commercially available fully automated software packages provide useful information to guide treatment decisions. Randomized controlled trials implementing perfusion imaging to patient selection algorithms have demonstrated marked success in improving functional outcomes in patients with large vessel occlusions. As such, imaging has become a vital aspect of AIS treatment in selecting patients who may benefit from mechanical thrombectomy.
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Affiliation(s)
- Phillip A Bonney
- Department of Neurological Surgery, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Brian P Walcott
- Department of Neurological Surgery, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Parampreet Singh
- Department of Neurological Surgery, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Peggy L Nguyen
- Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Nerses Sanossian
- Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - William J Mack
- Department of Neurological Surgery, Keck School of Medicine, University of Southern California, Los Angeles, California
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Cerebral hemodynamics associated with fluid-attenuated inversion recovery hyperintense vessels in patients with extracranial carotid artery stenosis. Neuroradiology 2020; 62:677-684. [PMID: 32152648 DOI: 10.1007/s00234-020-02385-0] [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: 11/08/2019] [Accepted: 02/21/2020] [Indexed: 10/24/2022]
Abstract
PURPOSE Fluid-attenuated inversion recovery hyperintense vessels (FHVs) are linked to sluggish or disordered blood flow. The purpose of this study is to compare FHVs with digital subtraction angiography (DSA) findings and cerebral hemodynamic changes on acetazolamide challenge SPECT and to determine the clinical and imaging metrics associated with FHVs in patients with extracranial carotid artery stenosis (ECAS). METHODS The subjects were patients with chronic ECAS who underwent carotid artery stenting in our department between March 2011 and October 2018. Relationships of FHVs with age, sex, medical history, cerebral angiographic findings using DSA, and quantitative values of cerebral blood flow (CBF) were examined. The resting CBF (rCBF) and cerebrovascular reactivity (CVR) in the middle cerebral artery territory were measured quantitatively using SPECT with acetazolamide challenge. We used multivariate logistic regression analysis to identify independent predictors of FHVs. RESULTS Of 173 patients included, 92 (53.2%) had FHVs. Patients with FHVs had more severe stenosis (P < 0.01) and more leptomeningeal collateral vessels (P < 0.01). FHV-positive cases had significantly reduced CVR compared with FHV-negative cases (P < 0.01), although there was no significant difference in rCBF between FHV-positive and FHV-negative cases. Logistic regression analysis showed that ipsilateral rCBF and ipsilateral CVR were significant predictors for FHVs (P < 0.01). CONCLUSION In patients with ECAS, cerebral hemodynamic metrics, especially ipsilateral rCBF and ipsilateral CVR, are associated with the presence of FHVs.
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Seiler A, Lauer A, Deichmann R, Nöth U, Herrmann E, Berkefeld J, Singer OC, Pfeilschifter W, Klein JC, Wagner M. Signal variance-based collateral index in DSC perfusion: A novel method to assess leptomeningeal collateralization in acute ischaemic stroke. J Cereb Blood Flow Metab 2020; 40:574-587. [PMID: 30755069 PMCID: PMC7025396 DOI: 10.1177/0271678x19831024] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
As a determinant of the progression rate of the ischaemic process in acute large-vessel stroke, the degree of collateralization is a strong predictor of the clinical outcome after reperfusion therapy and may influence clinical decision-making. Therefore, the assessment of leptomeningeal collateralization is of major importance. The purpose of this study was to develop and evaluate a quantitative and observer-independent method for assessing leptomeningeal collateralization in acute large-vessel stroke based on signal variance characteristics in T2*-weighted dynamic susceptibility contrast (DSC) perfusion-weighted MR imaging (PWI). Voxels representing leptomeningeal collateral vessels were extracted according to the magnitude of signal variance in the PWI raw data time series in 55 patients with proximal large-artery occlusion and an intra-individual collateral vessel index (CVIPWI) was calculated. CVIPWI correlated significantly with the initial ischaemic core volume (rho = -0.459, p = 0.0001) and the PWI/DWI mismatch ratio (rho = 0.494, p = 0.0001) as an indicator of the amount of salvageable tissue. Furthermore, CVIPWI was significantly negatively correlated with NIHSS and mRS at discharge (rho = -0.341, p = 0.015 and rho = -0.305, p = 0.023). In multivariate logistic regression, CVIPWI was an independent predictor of favourable functional outcome (mRS 0-2) (OR = 16.39, 95% CI 1.42-188.7, p = 0.025). CVIPWI provides useful rater-independent information on the leptomeningeal collateral supply in acute stroke.
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Affiliation(s)
- Alexander Seiler
- Department of Neurology, Goethe University Frankfurt, Frankfurt, Germany
| | - Arne Lauer
- Institute of Neuroradiology, Goethe University Frankfurt, Frankfurt, Germany
| | - Ralf Deichmann
- Brain Imaging Center, Goethe University Frankfurt, Frankfurt, Germany
| | - Ulrike Nöth
- Brain Imaging Center, Goethe University Frankfurt, Frankfurt, Germany
| | - Eva Herrmann
- Institute of Biostatistics and Mathematical Modelling, Goethe University Frankfurt, Frankfurt, Germany
| | - Joachim Berkefeld
- Institute of Neuroradiology, Goethe University Frankfurt, Frankfurt, Germany
| | - Oliver C Singer
- Department of Neurology, Goethe University Frankfurt, Frankfurt, Germany
| | | | - Johannes C Klein
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.,Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Marlies Wagner
- Institute of Neuroradiology, Goethe University Frankfurt, Frankfurt, Germany
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