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Nogueira RG, Doheim MF, Jadhav AP, Aghaebrahim A, Frankel MR, Jankowitz BT, Budzik RF, Bonafe A, Bhuva P, Yavagal DR, Hanel RA, Hassan AE, Ribo M, Cognard C, Sila CA, Jenkins P, Smith WS, Saver JL, Liebeskind DS, Jovin TG, Haussen DC. Mode of Onset Modifies the Effect of Time to Endovascular Reperfusion on Clinical Outcomes after Acute Ischemic Stroke: An Analysis of the DAWN Trial. Ann Neurol 2024. [PMID: 38877793 DOI: 10.1002/ana.26968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Revised: 05/01/2024] [Accepted: 05/06/2024] [Indexed: 06/16/2024]
Abstract
OBJECTIVE We aimed to assess the impact of time to endovascular thrombectomy (EVT) on clinical outcomes in the DAWN trial, while also exploring the potential effect modification of mode of stroke onset on this relationship. METHODS The association between every 1-h treatment delay with 90-day functional independence (modified Rankin Scale [mRS] score 0-2), symptomatic intracranial hemorrhage, and 90-day mortality was explored in the overall population and in three modes of onset subgroups (wake-up vs. witnessed vs. unwitnessed). RESULTS Out of the 205 patients, 98 (47.8%) and 107 (52.2%) presented in the 6 to 12 hours and 12 to 24 hours time window, respectively. Considering all three modes of onset together, there was no statistically significant association between time last seen well to randomization with either functional independence or mortality at 90 days in either the endovascular thrombectomy (mRS 0-2 1-hour delay OR 1.07; 95% CI 0.93-1.24; mRS 6 OR 0.84; 95% CI 0.65-1.03) or medical management (mRS 0-2 1-hour delay OR 0.98; 95% CI 0.80-1.14; mRS 6 1-hour delay OR 0.94; 95% CI 0.79-1.09) groups. Moreover, there was no significant interaction between treatment effect and time (p = 0.439 and p = 0.421 for mRS 0-2 and 6, respectively). However, within the thrombectomy group, the models that tested the association between time last seen well to successful reperfusion (modified Treatment in Cerebral Infarction ≥2b) and 90-day functional independence showed a significant interaction with mode of presentation (p = 0.013). This appeared to be driven by a nominally positive slope for both witnessed and unwitnessed strokes versus a significantly (p = 0.018) negative slope in wake-up patients. There was no association between treatment times and symptomatic intracranial hemorrhage. INTERPRETATION Mode of onset modifies the effect of time to reperfusion on thrombectomy outcomes, and should be considered when exploring different treatment paradigms in the extended window. ANN NEUROL 2024.
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Affiliation(s)
- Raul G Nogueira
- Department of Neurology and Neurosurgery, University of Pittsburgh Medical Center, UPMC Stroke Institute, Pittsburgh, PA, USA
| | - Mohamed F Doheim
- Department of Neurology and Neurosurgery, University of Pittsburgh Medical Center, UPMC Stroke Institute, Pittsburgh, PA, USA
| | - Ashutosh P Jadhav
- Department of Neurosurgery, Barrow Neurological Institute, Phoenix, AZ, USA
| | | | - Michael R Frankel
- Emory University School of Medicine, Grady Memorial Hospital, Atlanta, GA, USA
| | | | | | - Alain Bonafe
- Department of Neuroradiology, Hôpital Gui-de-Chauliac, Montpellier, France
| | - Parita Bhuva
- Division of Neurointervention, Texas Stroke Institute, Dallas-Fort Worth, Fort Worth, TX, USA
| | - Dileep R Yavagal
- Department of Neurology and Neurosurgery, University of Miami Miller School of Medicine-Jackson Memorial Hospital, Miami, FL, USA
| | | | - Ameer E Hassan
- Department of Neurology, University of Texas Rio Grande Valley, Valley Baptist Hospital, Harlingen, TX, USA
| | - Marc Ribo
- Stroke Unit, Hospital Vall d'Hebrón, Barcelona, Spain
| | - Christophe Cognard
- Department of Diagnostic and Therapeutic Neuroradiology, University Hospital of Toulouse, Toulouse, France
| | - Cathy A Sila
- Department of Neurology, University Hospitals of Cleveland, Cleveland, OH, USA
| | | | - Wade S Smith
- Department of Neurology, University of California, San Francisco, CA, USA
| | - Jeffrey L Saver
- Department of Neurology and Comprehensive Stroke Center, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - David S Liebeskind
- Department of Neurology and Comprehensive Stroke Center, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Tudor G Jovin
- Department of Neurology, Cooper University Hospital, Neurological Institute, Camden, NJ, USA
| | - Diogo C Haussen
- Emory University School of Medicine, Grady Memorial Hospital, Atlanta, GA, USA
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Ozkara BB, Karabacak M, Hoseinyazdi M, Dagher SA, Wang R, Karadon SY, Ucisik FE, Margetis K, Wintermark M, Yedavalli VS. Utilizing imaging parameters for functional outcome prediction in acute ischemic stroke: A machine learning study. J Neuroimaging 2024; 34:356-365. [PMID: 38430467 DOI: 10.1111/jon.13194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 02/07/2024] [Accepted: 02/09/2024] [Indexed: 03/03/2024] Open
Abstract
BACKGROUND AND PURPOSE We aimed to predict the functional outcome of acute ischemic stroke patients with anterior circulation large vessel occlusions (LVOs), irrespective of how they were treated or the severity of the stroke at admission, by only using imaging parameters in machine learning models. METHODS Consecutive adult patients with anterior circulation LVOs who were scanned with CT angiography (CTA) and CT perfusion were queried in this single-center, retrospective study. The favorable outcome was defined as a modified Rankin score (mRS) of 0-2 at 90 days. Predictor variables included only imaging parameters. CatBoost, XGBoost, and Random Forest were employed. Algorithms were evaluated using the area under the receiver operating characteristic curve (AUROC), the area under the precision-recall curve (AUPRC), accuracy, Brier score, recall, and precision. SHapley Additive exPlanations were implemented. RESULTS A total of 180 patients (102 female) were included, with a median age of 69.5. Ninety-two patients had an mRS between 0 and 2. The best algorithm in terms of AUROC was XGBoost (0.91). Furthermore, the XGBoost model exhibited a precision of 0.72, a recall of 0.81, an AUPRC of 0.83, an accuracy of 0.78, and a Brier score of 0.17. Multiphase CTA collateral score was the most significant feature in predicting the outcome. CONCLUSIONS Using only imaging parameters, our model had an AUROC of 0.91 which was superior to most previous studies, indicating that imaging parameters may be as accurate as conventional predictors. The multiphase CTA collateral score was the most predictive variable, highlighting the importance of collaterals.
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Affiliation(s)
- Burak B Ozkara
- Department of Neuroradiology, MD Anderson Cancer Center, Houston, Texas, USA
| | - Mert Karabacak
- Department of Neurosurgery, Mount Sinai Health System, New York, New York, USA
| | - Meisam Hoseinyazdi
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins Hospital, Baltimore, Maryland, USA
| | - Samir A Dagher
- Department of Neuroradiology, MD Anderson Cancer Center, Houston, Texas, USA
| | - Richard Wang
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins Hospital, Baltimore, Maryland, USA
| | - Sadik Y Karadon
- School of Medicine, Manisa Celal Bayar University, Manisa, Turkey
| | - F Eymen Ucisik
- Department of Neuroradiology, MD Anderson Cancer Center, Houston, Texas, USA
| | | | - Max Wintermark
- Department of Neuroradiology, MD Anderson Cancer Center, Houston, Texas, USA
| | - Vivek S Yedavalli
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins Hospital, Baltimore, Maryland, USA
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Nguyen TQ, Tran MH, Phung HN, Nguyen KV, Tran HTM, Walter S, Hoang DCB, Pham BN, Truong ALT, Tran VT, Nguyen TN, Pham AL, Nguyen HT. Endovascular treatment for acute ischemic stroke beyond the 24-h time window: Selection by target mismatch profile. Int J Stroke 2024; 19:305-313. [PMID: 37807200 DOI: 10.1177/17474930231208817] [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] [Indexed: 10/10/2023]
Abstract
INTRODUCTION Endovascular treatment for acute ischemic stroke patients with large vessel occlusion (LVO) has been established as a promising clinical intervention within a late time window of 6-24 h after symptom onset. Patients with slow progression, however, may still benefit from endovascular treatment beyond the 24-h time window (very late window). AIM The aim of this study is to report insight into the potential clinical benefits of endovascular treatment for acute ischemic stroke beyond 24 h from symptom onset. METHODS A retrospective analysis was performed on consecutive patients undergoing endovascular treatment for acute anterior circulation LVO ischemic stroke beyond 24 h. Participants were recruited between July 2019 and November 2020. Patients were selected based on the DAWN/DEFUSE 3 criteria (Perfusion-RAPID, iSchemaView) and patients receiving treatment beyond 24 h were compared to a group of patients receiving endovascular treatment between 6 and 24 h after symptom onset. The primary outcome was the proportion of patients with functional independence at 90 days (modified Rankin Scale score of 0-2). The secondary outcomes were shift modified Rankin Scale (mRS) analysis and successful reperfusion was defined by thrombolysis in cerebral infarction (TICI) 2b-3 on the final procedure. Safety outcomes were symptomatic intracranial hemorrhage and death at the 90-day follow-up. Propensity score (PS)-matched analyses were employed to rectify the imbalanced baseline characteristics between the two groups. RESULTS A total of 166 patients were recruited with a median age of 63.0 (56.0-69.0) and 28.9% of all patients were females. Patients in the beyond 24-h group had a longer onset-to-groin time (median = 27.2 vs 14.3 h, p < 0.001) than those in the 6- to 24-h group. There were no statistically significant differences between the two groups in National Institutes of Health Stroke Scale (NIHSS) (median = 12.0 vs 15.0, p = 0.37), perfusion imaging characteristics (core: median = 11.0 vs 9.0 mL, p = 0.86; mismatch volume: median = 106.0 vs 96.0, p = 0.44; mismatch ratio = 6.46 vs 7.24, p = 0.91), and perfusion-to-groin time (median = 72.5 vs 76.0 min, p = 0.77). No significant differences were noted among patients between the two groups in the primary endpoint functional independence analysis (50.0% vs 46.6%, p = 0.77) and in the safety endpoint analysis: mortality (15.0% vs 11.0%, p = 0.71) or symptomatic hemorrhage (0% vs 3.42%, p > 0.999). In PS-matched analyses, there were no significant differences among patients between the two groups in functional independence (50.0% vs 54.8%, p = 0.74), mortality (16.7% vs 9.68%, p = 0.50), or symptomatic hemorrhage (0% vs 6.45%, p = 0.53). CONCLUSION Endovascular treatment can be performed safely and effectively in LVO patients beyond 24 h from symptom onset when selected by target mismatch profile. The clinical outcome of these patients was comparable to those treated in the 6- to 24-h window. Larger studies are needed to confirm these findings.
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Affiliation(s)
- Trung Quoc Nguyen
- Department of Cerebrovascular Disease, 115 People's Hospital, Ho Chi Minh City, Vietnam
- University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, Vietnam
| | - Mai Hoang Tran
- School of Public Health, Griffith University, Gold Coast, QLD, Australia
| | - Hai Ngoc Phung
- School of Medicine and Dentistry, Griffith University, Gold Coast, QLD, Australia
| | - Khang Vinh Nguyen
- Department of Neurology, University Medical Center, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, Vietnam
| | - Hang T Minh Tran
- Pham Ngoc Thach University of Medicine, Ho Chi Minh City, Vietnam
| | - Silke Walter
- Department of Neurology, Saarland University Hospital, Homburg, Germany
| | - Dinh C Bao Hoang
- Department of Neurology, Tam Anh Hospital, Ho Chi Minh City, Vietnam
| | - Binh Nguyen Pham
- Department of Cerebrovascular Disease, 115 People's Hospital, Ho Chi Minh City, Vietnam
| | - Anh Le Tuan Truong
- Department of Cerebrovascular Disease, 115 People's Hospital, Ho Chi Minh City, Vietnam
| | - Vu Thanh Tran
- Department of Neurointervention, 115 People's Hospital, Ho Chi Minh City, Vietnam
| | - Thanh N Nguyen
- Department of Neurology, Boston Medical Center, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA
| | - An Le Pham
- University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, Vietnam
| | - Huy-Thang Nguyen
- Department of Cerebrovascular Disease, 115 People's Hospital, Ho Chi Minh City, Vietnam
- Pham Ngoc Thach University of Medicine, Ho Chi Minh City, Vietnam
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McArthur MA, Tavakkol E, Bahr-Hosseini M, Jahan R, Duckwiler GR, Saver JL, Liebeskind DS, Nael K. Overestimation of ischemic core on baseline MRI in acute stroke. Interv Neuroradiol 2024:15910199231224500. [PMID: 38258456 DOI: 10.1177/15910199231224500] [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: 01/24/2024] Open
Abstract
BACKGROUND AND PURPOSE In patients with acute ischemic stroke (AIS), overestimation of ischemic core on MRI-DWI has been described primarily in regions with milder reduced diffusion. We aimed to assess the possibility of ischemic core overestimation on pretreatment MRI despite using more restricted reduced diffusion (apparent diffusion coefficient (ADC) ≤620 × 10-6 mm2/s) in AIS patients with successful reperfusion. MATERIALS AND METHODS In this retrospective single institutional study, AIS patients who had pretreatment MRI underwent successful reperfusion and had follow-up MRI to determine the final infarct volume were reviewed. Pretreatment ischemic core and final infarction volumes were calculated. Ghost core was defined as overestimation of final infarct volume by baseline MRI of >10 mL. Baseline clinical, demographic, and treatment-related factors in this cohort were reviewed. RESULTS A total of 6/156 (3.8%) patients had overestimated ischemic core volume on baseline MRI, with mean overestimation of 65.6 mL. Three out of six patients had pretreatment ischemic core estimation of >70 mL, while the final infarct volume was <70 mL. All six patients had last known well-to-imaging <120 min, median (IQR): 65 (53-81) minutes. CONCLUSIONS Overestimation of ischemic core, known as ghost core, is rare using severe ADC threshold (≤620 × 10-6 mm2/s), but it does occur in nearly 1 of every 25 patients, confined to hyperacute patients imaged within 120 min of symptom onset. Awareness of this phenomenon carries implications for treatment and trial enrollment.
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Affiliation(s)
- M A McArthur
- Department of Radiological Sciences, University of California, Los Angeles, Los Angeles, USA
| | - E Tavakkol
- Department of Radiological Sciences, University of California, Los Angeles, Los Angeles, USA
| | - M Bahr-Hosseini
- Department of Neurology, University of California, Los Angeles, Los Angeles, USA
| | - R Jahan
- Department of Radiological Sciences, University of California, Los Angeles, Los Angeles, USA
| | - G R Duckwiler
- Department of Radiological Sciences, University of California, Los Angeles, Los Angeles, USA
| | - J L Saver
- Department of Neurology, University of California, Los Angeles, Los Angeles, USA
| | - D S Liebeskind
- Department of Neurology, University of California, Los Angeles, Los Angeles, USA
| | - K Nael
- Department of Radiological Sciences, University of California, Los Angeles, Los Angeles, USA
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Diestro JDB, Omar AT, Zhang YQ, Kishibe T, Mastrolonardo A, Lannon MM, Ignacio K, Pimenta Ribeiro Pontes Almeida E, Malvea A, Diouf A, Sharma AV, Yang Q, Qiu Z, Almekhlafi MA, Nguyen TN, Zafar A, Pereira VM, Spears J, Marotta TR, Farrokhyar F, Sharma S. Perfusion vs non-perfusion computed tomography imaging in the late window of emergent large vessel ischemic stroke: A systematic review and meta-analysis. PLoS One 2024; 19:e0294127. [PMID: 38166040 PMCID: PMC10760723 DOI: 10.1371/journal.pone.0294127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 10/25/2023] [Indexed: 01/04/2024] Open
Abstract
BACKGROUND Guidelines recommend the treatment of emergent large vessel ischemic stroke (ELVIS) patients presenting beyond 6 hours of last known well time with endovascular thrombectomy (EVT) based on perfusion computed tomography (CT) neuroimaging. We compared the outcomes (long-term good clinical outcomes, symptomatic intracranial hemorrhage (sICH), and mortality) of ELVIS patients according to the type of CT neuroimaging they underwent. METHODS We searched the following databases: Medline, Embase, CENTRAL, and Scopus from January 1, 2015, to June 14, 2023. We included studies of late-presenting ELVIS patients undergoing EVT that had with data for non-perfusion and perfusion CT neuroimaging. We followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines. Data were pooled using a random effects model. RESULTS We found 7 observational cohorts. Non-perfusion versus perfusion CT was not statistically significantly different for both long-term clinical (n = 3,224; RR: 0.96; 95% CI 0.86 to 1.06; I2 = 18%) and sICH (n = 3,724; RR: 1.08 95% CI 0.60 to 1.94; I2 = 76%). Perfusion CT had less mortality (n = 3874; RR: 1.22; 95% CI 1.07 to 1.40; I2 = 0%). The certainty of these findings is very low because of limitations in the risk of bias, indirectness, and imprecision domains of the Grading of Recommendations, Assessment, Development and Evaluations. CONCLUSION The use of either non-perfusion or perfusion CT neuroimaging may have little to no effect on long-term clinical outcomes and sICH for late-presenting EVT patients. Perfusion CT neuroimaging may be associated with a reduced the risk of mortality. Evidence uncertainty warrants randomized trial data.
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Affiliation(s)
- Jose Danilo B. Diestro
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
- Division of Diagnostic and Therapeutic Neuroradiology, Department of Medical Imaging, Unity Health- St Michael’s Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Abdelsimar T. Omar
- Division of Neurosurgery, Department of Surgery, McMaster University, Hamilton, Ontario, Canada
| | - Yu-qing Zhang
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
- CEBIM (Center for Evidence Based Integrative Medicine)-Clarity Collaboration, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Nottingham Ningbo GRADE Center, The University of Nottingham Ningbo, Ningbo, China
| | - Teruko Kishibe
- Health Sciences Library, St. Michael’s Hospital, Unity Health Toronto, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Unity Health Toronto, Toronto, Ontario, Canada
| | | | - Melissa Mary Lannon
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
- Division of Neurosurgery, Department of Surgery, McMaster University, Hamilton, Ontario, Canada
| | - Katrina Ignacio
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Alberta, Canada
| | | | - Anahita Malvea
- Division of Neurosurgery, Department of Surgery, Unity Health- St Michael’s Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Ange Diouf
- Division of Diagnostic and Therapeutic Neuroradiology, Department of Medical Imaging, Unity Health- St Michael’s Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Arjun Vishnu Sharma
- Department of Neurology and Critical Care, McMaster University, Hamilton, ON, Canada
| | - Qingwu Yang
- Department of Neurology, Xinqiao Hospital and The Second Affiliated Hospital, Army Medical University (Third Military Medical University), Shapingba District, Chongqing, China
| | - Zhongming Qiu
- Department of Neurology, The 903rd Hospital of The People’s Liberation Army, Xihu District, Hangzhou, China
| | - Mohammed A. Almekhlafi
- Department of Clinical Neurosciences, Radiology, and Community Health Sciences, Cumming School of Medicine at the University of Calgary, Calgary, Alberta, Canada
- Hotchkiss Brain Institute and O’Brien Institute for Public Health, Cumming School of Medicine at the University of Calgary, Calgary, Alberta, Canada
| | - Thanh N. Nguyen
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, United States of America
- Department of Radiology, Boston Medical Center, Boston University School of Medicine, Boston, Massachusetts, United States of America
| | - Atif Zafar
- Department of Medicine, Division of Neurology, Unity Health- St. Michael’s Hospital, University of Toronto, Toronto, Ontario
| | - Vitor Mendes Pereira
- Division of Diagnostic and Therapeutic Neuroradiology, Department of Medical Imaging, Unity Health- St Michael’s Hospital, University of Toronto, Toronto, Ontario, Canada
- Division of Neurosurgery, Department of Surgery, Unity Health- St Michael’s Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Julian Spears
- Division of Diagnostic and Therapeutic Neuroradiology, Department of Medical Imaging, Unity Health- St Michael’s Hospital, University of Toronto, Toronto, Ontario, Canada
- Division of Neurosurgery, Department of Surgery, Unity Health- St Michael’s Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Thomas R. Marotta
- Division of Diagnostic and Therapeutic Neuroradiology, Department of Medical Imaging, Unity Health- St Michael’s Hospital, University of Toronto, Toronto, Ontario, Canada
- Division of Neurosurgery, Department of Surgery, Unity Health- St Michael’s Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Forough Farrokhyar
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
- Department of Global Health, McMaster University, Hamilton, Ontario, Canada
- Department of Surgery, McMaster University, Hamilton, Ontario, Canada
| | - Sunjay Sharma
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
- Division of Neurosurgery, Department of Surgery, McMaster University, Hamilton, Ontario, Canada
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Lee SJ, Park G, Kim D, Jung S, Song S, Hong JM, Shin DH, Lee JS. Clinical evaluation of a deep-learning model for automatic scoring of the Alberta stroke program early CT score on non-contrast CT. J Neurointerv Surg 2023; 16:61-66. [PMID: 37015781 PMCID: PMC10804033 DOI: 10.1136/jnis-2022-019970] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Accepted: 03/01/2023] [Indexed: 04/06/2023]
Abstract
BACKGROUND Automated measurement of the Alberta Stroke Program Early Computed Tomography Score (ASPECTS) can support clinical decision making. Based on a deep learning algorithm, we developed an automated ASPECTS scoring system (Heuron ASPECTS) and validated its performance in a prespecified clinical trial. METHODS For model training, we used non-contrast computed tomography images of 487 patients with acute ischemic stroke (AIS). For the clinical trial, 326 patients (87 with AIS, 56 with other acute brain diseases, and 183 with no brain disease) were enrolled. The results of Heuron ASPECTS were compared with the consensus generated by two stroke experts using the Bland-Altman agreement. A mean difference of less than 0.35 and a maximum allowed difference of less than 3.8 were considered the primary outcome target. The sensitivity and specificity of the model for the 10 regions of interest and dichotomized ASPECTS were calculated. RESULTS The Bland-Altman agreement had a mean difference of 0.03 [95% confidence interval (CI): -0.08 to 0.14], and the upper and lower limits of agreement were 2.80 [95% CI: 2.62 to 2.99] and -2.74 [95% CI: -2.92 to -2.55], respectively. For ASPECTS calculation, sensitivity and specificity to detect the early ischemic change for 10 ASPECTS regions were 62.78% [95% CI: 58.50 to 67.07] and 96.63% [95% CI: 96.18 to 97.09], respectively. Furthermore, in a dichotomized analysis (ASPECTS >4 vs. ≤4), the sensitivity and specificity were 94.01% [95% CI: 91.26 to 96.77] and 61.90% [95% CI: 47.22 to 76.59], respectively. CONCLUSIONS The current trial results show that Heuron ASPECTS reliably measures the ASPECTS for use in clinical practice.
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Affiliation(s)
- Seong-Joon Lee
- Department of Neurology, Ajou University School of Medicine, Suwon, Gyeonggi-do, South Korea
| | - Gyuha Park
- Research Division, Heuron Co., Ltd, Incheon, South Korea
| | - Dohyun Kim
- Research Division, Heuron Co., Ltd, Incheon, South Korea
| | - Sumin Jung
- Research Division, Heuron Co., Ltd, Incheon, South Korea
| | - Soohwa Song
- Research Division, Heuron Co., Ltd, Incheon, South Korea
| | - Ji Man Hong
- Department of Neurology, Ajou University School of Medicine, Suwon, Gyeonggi-do, South Korea
| | - Dong Hoon Shin
- Research Division, Heuron Co., Ltd, Incheon, South Korea
- Department of Neurology, Gachon University College of Medicine, Incheon, South Korea
| | - Jin Soo Lee
- Department of Neurology, Ajou University School of Medicine, Suwon, Gyeonggi-do, South Korea
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Fainardi E, Busto G, Morotti A. Automated advanced imaging in acute ischemic stroke. Certainties and uncertainties. Eur J Radiol Open 2023; 11:100524. [PMID: 37771657 PMCID: PMC10523426 DOI: 10.1016/j.ejro.2023.100524] [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: 05/30/2023] [Revised: 09/12/2023] [Accepted: 09/13/2023] [Indexed: 09/30/2023] Open
Abstract
The purpose of this is study was to review pearls and pitfalls of advanced imaging, such as computed tomography perfusion and diffusion-weighed imaging and perfusion-weighted imaging in the selection of acute ischemic stroke (AIS) patients suitable for endovascular treatment (EVT) in the late time window (6-24 h from symptom onset). Advanced imaging can quantify infarct core and ischemic penumbra using specific threshold values and provides optimal selection parameters, collectively called target mismatch. More precisely, target mismatch criteria consist of core volume and/or penumbra volume and mismatch ratio (the ratio between total hypoperfusion and core volumes) with precise cut-off values. The parameters of target mismatch are automatically calculated with dedicated software packages that allow a quick and standardized interpretation of advanced imaging. However, this approach has several limitations leading to a misclassification of core and penumbra volumes. In fact, automatic software platforms are affected by technical artifacts and are not interchangeable due to a remarkable vendor-dependent variability, resulting in different estimate of target mismatch parameters. In addition, advanced imaging is not completely accurate in detecting infarct core, that can be under- or overestimated. Finally, the selection of candidates for EVT remains currently suboptimal due to the high rates of futile reperfusion and overselection caused by the use of very stringent inclusion criteria. For these reasons, some investigators recently proposed to replace advanced with conventional imaging in the selection for EVT, after the demonstration that non-contrast CT ASPECTS and computed tomography angiography collateral evaluation are not inferior to advanced images in predicting outcome in AIS patients treated with EVT. However, other authors confirmed that CTP and PWI/DWI postprocessed images are superior to conventional imaging in establishing the eligibility of patients for EVT. Therefore, the routine application of automatic assessment of advanced imaging remains a matter of debate. Recent findings suggest that the combination of conventional and advanced imaging might improving our selection criteria.
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Affiliation(s)
- Enrico Fainardi
- Neuroradiology Unit, Department of Experimental and Clinical Biomedical Sciences, University of Florence, Italy
- Neuroradiology Unit, Department of Radiology, Careggi University Hospital, Florence, Italy
| | - Giorgio Busto
- Neuroradiology Unit, Department of Radiology, Careggi University Hospital, Florence, Italy
| | - Andrea Morotti
- Department of Neurological and Vision Sciences, Neurology Unit, ASST Spedali Civili, Brescia, Italy
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8
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Capirossi C, Laiso A, Renieri L, Capasso F, Limbucci N. Epidemiology, organization, diagnosis and treatment of acute ischemic stroke. Eur J Radiol Open 2023; 11:100527. [PMID: 37860148 PMCID: PMC10582298 DOI: 10.1016/j.ejro.2023.100527] [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: 06/17/2023] [Revised: 09/25/2023] [Accepted: 09/30/2023] [Indexed: 10/21/2023] Open
Abstract
The management of acute ischemic stroke is changing. Over the period of 2010-2050, the number of incident strokes is expected to be more than double. Rapid access to mechanical thrombectomy for patients with large vessel occlusion is critically associated with their functional outcome. Moreover, patients with first pass effect had a better clinical outcome, lower mortality, and fewer procedural adverse events. We discuss some advances in acute ischemic stroke regarding the organization, the diagnosis and the treatment.
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Affiliation(s)
- Carolina Capirossi
- Interventional Neuroradiology Unit, University Hospital Careggi, Florence, Italy
| | - Antonio Laiso
- Interventional Neuroradiology Unit, University Hospital Careggi, Florence, Italy
| | - Leonardo Renieri
- Interventional Neuroradiology Unit, University Hospital Careggi, Florence, Italy
| | - Francesco Capasso
- Interventional Neuroradiology Unit, University Hospital Careggi, Florence, Italy
| | - Nicola Limbucci
- Interventional Neuroradiology Unit, University Hospital Careggi, Florence, Italy
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9
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Keenan KJ, Smith WS, Jadhav AP, Haussen DC, Budzik RF, Bonafé A, Bhuva P, Yavagal DR, Ribò M, Cognard C, Hanel RA, Hassan AE, Sila CA, Saver JL, Liebeskind DS, Jovin TG, Nogueira RG. Large vessel occlusion prediction scale thresholds that are sensitive for DAWN Trial patients. Interv Neuroradiol 2023:15910199231203266. [PMID: 37915142 DOI: 10.1177/15910199231203266] [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: 11/03/2023] Open
Abstract
BACKGROUND Large vessel occlusion (LVO) prediction scales are used to triage prehospital suspected stroke patients with a high probability of LVO stroke to endovascular therapy centers. The sensitivities of these scales in the 6-to-24-h time window are unknown. Higher scale score thresholds are typically less sensitive and more specific. Knowing the highest scale score thresholds that remain sensitive could inform threshold selection for clinical use. Sensitivities may also vary between left and right-sided LVOs. METHODS LVO prediction scale scores were retrospectively calculated using the National Institutes of Health Stroke Scale (NIHSS) scores of patients enrolled in the DAWN Trial. All patients had last known well times between 6 and 24 h, NIHSS scores ≥ 10, intracranial internal carotid artery or proximal middle cerebral artery occlusions, and mismatches between their clinical severities and infarct core volumes. Scale thresholds with sensitivities ≥ 85% were identified, along with scores ≥ 5% more sensitive for left or right-sided LVOs. Specificities could not be calculated because all patients had LVOs. RESULTS A total of 201 out of 206 patients had the required NIHSS subitem scores. CPSS = 3, C-STAT ≥ 2, FAST-ED ≥ 4, G-FAST ≥ 3, RACE ≥ 5, and SAVE ≥ 3 were the highest thresholds that were still 85% sensitive for DAWN Trial LVO stroke patients. RACE ≥ 5 was the only typically used score threshold more sensitive for right-sided LVOs, though similar small differences were seen for other scales at higher thresholds. CONCLUSIONS Our findings likely represent the maximum sensitivities of the LVO prediction scales tested for ideal thrombectomy candidates in the 6-to-24-h time window because NIHSS scores were documented in hospitals during a clinical trial rather than in the prehospital setting. Patients with NIHSS scores < 10 or more distal LVOs would lower sensitivities further. Selecting even higher scale thresholds for LVO triage would lead to many missed LVO strokes.
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Affiliation(s)
- Kevin J Keenan
- Department of Neurology, University of California, Davis, Sacramento, CA, USA
| | - Wade S Smith
- Department of Neurology, University of California, San Francisco, CA, USA
| | - Ashutosh P Jadhav
- Department of Neurology, Barrow Neurological Institute, Phoenix, AZ, USA
| | - Diogo C Haussen
- Department of Neurology and Radiology, Emory University School of Medicine at Grady Memorial Hospital, Atlanta, GA, USA
| | - Ronald F Budzik
- Department of Radiology, OhioHealth/Riverside Methodist Hospital, Columbus, OH, USA
| | - Alain Bonafé
- Department of Neuroradiology, University Hospital of Montpellier, Hop Gui de Chauliac, Montpellier, France
| | - Parita Bhuva
- Texas Stroke Institute at HCA North Texas, Plano, TX, USA
| | - Dileep R Yavagal
- Department of Neurology, University of Miami School of Medicine, Jackson Memorial Hospital, Miami, FL, USA
| | - Marc Ribò
- Vall d'Hebron University Hospital, Vall d'Hebron Research Institute, Barcelona, Spain
- Department of Neurology, Vall d'Hebron University Hospital, Stroke Unit, Barcelona, Spain
| | - Christophe Cognard
- Department of Neuroradiology, Hospital Purpan, Toulouse, Midi-Pyrénées, France
| | - Ricardo A Hanel
- Baptist Medical Center Jacksonville/Lyerly Neurosurgery, Jacksonville, FL, USA
| | - Ameer E Hassan
- Department of Neurology, Valley Baptist Medical Center - Harlingen, TX, USA
| | - Cathy A Sila
- University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Jeffrey L Saver
- Department of Neurology, University of California, Los Angeles, CA, USA
| | | | - Tudor G Jovin
- Cooper Hospital University Medical Center, Camden, NJ, USA
| | - Raul G Nogueira
- Department of Neurology, UPMC Stroke Institute, University of Pittsburgh, Pittsburgh, PA, USA
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10
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Ballout AA. Endovascular thrombectomy of large ischemic strokes: Reimagining the boundaries of reperfusion. Interv Neuroradiol 2023; 29:493-497. [PMID: 37069819 PMCID: PMC10549720 DOI: 10.1177/15910199231170283] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 03/29/2023] [Indexed: 04/19/2023] Open
Abstract
The cumulative results of the SELECT-2, ANGEL-ASPECTS, and RESCUE-JAPAN LIMIT clinical trials suggest that endovascular thrombectomy performed within 24 h of symptom onset, in patients presenting with large ischemic strokes, defined by parenchymal and/or perfusion imaging, is safe and is associated with better functional outcomes with a treatment effect that persisted across all subgroups of patients. Our aim was to review these studies and to discuss the implications that these studies may have on patient selection, systems of care, and the utility of our imaging modalities.
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Affiliation(s)
- Ahmad A Ballout
- Department of Neurology, Zucker School of Medicine at Hofstra/Northwell, New York, NY, USA
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11
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Ballout AA, Oh SY, Huang B, Patsalides A, Libman RB. Ghost infarct core: A systematic review of the frequency, magnitude, and variables of CT perfusion overestimation. J Neuroimaging 2023; 33:716-724. [PMID: 37248074 DOI: 10.1111/jon.13127] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 05/16/2023] [Accepted: 05/18/2023] [Indexed: 05/31/2023] Open
Abstract
BACKGROUND AND PURPOSE CT perfusion (CTP) imaging is now widely used to select patients with large vessel occlusions for mechanical thrombectomy. Ghost infarct core (GIC) phenomenon has been coined to describe CTP core overestimation and has been investigated in several retrospective studies. Our aim is to review the frequency, magnitude, and variables associated with this phenomenon. METHODS A primary literature search resulted in eight studies documenting median time from symptom onset to CTP, median estimated core size, median final infarct volume, median core overestimation of the GIC population, recanalization rates, good outcomes, and collateral status for this systematic review. RESULTS All the studies investigated patients who underwent CTP within 6 hours of symptom onset, ranging from median times of 105 to 309 minutes. The frequency of core overestimation varied from 6% to 58.4%, while the median estimated ischemic core and final infarction volume ranged from 7 to 27 mL and 12 to 31 mL, respectively. The median core overestimation ranged from 3.6 to 30 mL with upper quartile ranges up to 58 mL. GIC was found to be a highly time-and-collateral-dependent process that increases in frequency and magnitude as the time from symptom onset to imaging decreases and in the presence of poor collaterals. CONCLUSIONS CTP ischemic core overestimation appears to be a relatively common phenomenon that is most frequent in patients with poor collaterals imaged within the acute time window. Early perfusion imaging should be interpreted with caution to prevent the inadvertent exclusion of patients from highly effective reperfusion therapies.
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Affiliation(s)
- Ahmad A Ballout
- Department of Neurology, Zucker School of Medicine at Hofstra/Northwell, Manhasset, New York, USA
| | - Seok Yoon Oh
- Department of Neurology, Zucker School of Medicine at Hofstra/Northwell, Manhasset, New York, USA
| | - Brendan Huang
- Department of Neurology, Zucker School of Medicine at Hofstra/Northwell, Manhasset, New York, USA
| | - Athos Patsalides
- Department of Neurosurgery, Zucker School of Medicine at Hofstra/Northwell, Manhasset, New York, USA
| | - Richard B Libman
- Department of Neurology, Zucker School of Medicine at Hofstra/Northwell, Manhasset, New York, USA
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12
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Zahn CD, Smith HL, Hurdelbrink JR, Craig SR, Hawthorne CR, Hansen CJ, Holdsworth R, Justo-Roth SM, Kluesner NH. Evaluation of computed tomography perfusion and angiogram use in stroke evaluation for thrombectomy at a community emergency department setting. Emerg Radiol 2023; 30:187-195. [PMID: 36781817 PMCID: PMC9925360 DOI: 10.1007/s10140-023-02116-x] [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: 12/12/2022] [Accepted: 01/31/2023] [Indexed: 02/15/2023]
Abstract
PURPOSE Evaluate concordance of provider practices with clinical guidelines for thrombectomy screening in an emergency department (ED) via computed tomography perfusion and angiogram (CT-P/A). METHODS A retrospective observational study was conducted for patients 18 years or older who received a CT-P/A of the head and neck in a US Midwestern ED between September 2019 through June 2021. Healthcare system records reviewed for patient information, CT-P/A findings, and treatment decisions. RESULTS During study period, 68,403 patients presented to the ED with 718 (1.1%) receiving a CT-P/A. Of these patients, 105 (14.6%) were transferred to a regional facility for potential thrombectomy, with 74 (70.5%) receiving procedure, 28 (26.7%) not receiving procedure, and 3 (2.9%) with insufficient follow-up information. Of patients receiving CT-P/A, 23 met DAWN criteria for thrombectomy, with 21 (91.3%) transferred for potential thrombectomy and 20 (95.2%) receiving the procedure; in comparison, 81 patients (11.7%) did not meet all DAWN criteria and were transferred for potential thrombectomy, with 52 (64.2%) receiving procedure. Lastly, 55 patients met DEFUSE-3 criteria for thrombectomy with 49 (89.1%) being transferred for potential thrombectomy and 45 (91.8%) receiving procedure. In comparison, 53 patients who did not meet all DEFUSE-3 criteria were transferred for potential thrombectomy, with 27 (50.9%) receiving procedure. CONCLUSIONS This study helps to understand CT-P/A usage, especially in patients that fall outside of treatment criteria in the current thrombectomy literature. Results may have value to institutions interested in using CT-P/A as a diagnostic tool as well as institutions already incorporating it in stroke assessments.
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Affiliation(s)
- Cal D. Zahn
- Carver College of Medicine, University of Iowa, Iowa City, IA USA
| | | | - Jonathan R. Hurdelbrink
- UnityPoint Health–Des Moines, Des Moines, IA USA ,College of Pharmacy and Health Sciences, Drake University, Des Moines, IA USA
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Ge Y, Zadeh M, Yang C, Candelario-Jalil E, Mohamadzadeh M. Ischemic Stroke Impacts the Gut Microbiome, Ileal Epithelial and Immune Homeostasis. iScience 2022; 25:105437. [PMID: 36388972 PMCID: PMC9650036 DOI: 10.1016/j.isci.2022.105437] [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: 05/13/2022] [Revised: 09/13/2022] [Accepted: 10/19/2022] [Indexed: 11/06/2022] Open
Abstract
Ischemic stroke critically impacts neurovascular homeostasis, potentially resulting in neurological disorders. However, the mechanisms through which stroke-induced inflammation modifies the molecular and metabolic circuits, particularly in ileal epithelial cells (iECs), currently remain elusive. Using multiomic approaches, we illustrated that stroke impaired the ileal microbiome and associated metabolites, leading to increased inflammatory signals and altered metabolites, potentially deteriorating the iEC homeostasis. Bulk transcriptomic and metabolomic profiling demonstrated that stroke enhanced fatty acid oxidation while reducing the tricarboxylic acid (TCA) cycle in iECs within the first day after stroke. Intriguingly, single-cell RNA sequencing analysis revealed that stroke dysregulated cell-type-specific gene responses within iECs and reduced frequencies of goblet and tuft cells. Additionally, stroke augmented interleukin-17A+ γδ T cells but decreased CD4+ T cells in the ileum. Collectively, our findings provide a comprehensive overview of stroke-induced intestinal dysbiosis and unveil responsive gene programming within iECs with implications for disease development.
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Affiliation(s)
- Yong Ge
- Department of Microbiology, Immunology & Molecular Genetics, University of Texas Health, San Antonio, TX, USA
- Division of Gastroenterology & Nutrition, Department of Medicine, University of Texas Health, San Antonio, TX, USA
| | - Mojgan Zadeh
- Department of Microbiology, Immunology & Molecular Genetics, University of Texas Health, San Antonio, TX, USA
- Division of Gastroenterology & Nutrition, Department of Medicine, University of Texas Health, San Antonio, TX, USA
| | - Changjun Yang
- Department of Neurosciences, University of Florida, Gainesville, FL, USA
| | | | - Mansour Mohamadzadeh
- Department of Microbiology, Immunology & Molecular Genetics, University of Texas Health, San Antonio, TX, USA
- Division of Gastroenterology & Nutrition, Department of Medicine, University of Texas Health, San Antonio, TX, USA
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14
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Scopelliti G, Pero G, Macera A, Quilici L, Cervo A, Platania G, Tadeo CS, Prelle AC, Muscia F, Riggio MG, Zilioli A, Agostoni EC, Piano M, Pantoni L. Outcome of a Real-World Cohort of Patients Subjected to Endovascular Treatment for Acute Ischemic Stroke. J Stroke Cerebrovasc Dis 2022; 31:106511. [DOI: 10.1016/j.jstrokecerebrovasdis.2022.106511] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 04/04/2022] [Accepted: 04/08/2022] [Indexed: 11/26/2022] Open
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15
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Mohammaden MH, Doheim MF, Elfil M, Al-Bayati AR, Pinheiro A, Nguyen TN, Bhatt NR, Haussen DC, Nogueira RG. Direct to Angiosuite Versus Conventional Imaging in Suspected Large Vessel Occlusion: A Systemic Review and Meta-Analysis. Stroke 2022; 53:2478-2487. [PMID: 35593152 DOI: 10.1161/strokeaha.121.038221] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND There is growing evidence to suggest that the direct transfer to angiography suite (DTAS) approach for patients with suspected large vessel occlusion stroke potentially requiring mechanical thrombectomy shortens treatment times and improves outcomes compared with the direct transfer to conventional imaging (DTCI) model. Therefore, we conducted this meta-analysis to compare both approaches to build more concrete evidence to support this innovative treatment concept. METHODS All potentially relevant studies published in 4 electronic databases/search engines (PubMed, Web of Science, Cochrane Library, and Scopus) from inception to November 2021 were reviewed. Eligible studies were included if they enrolled ≥10 patients in both groups, were published in English, and reported baseline and procedural characteristics and outcomes. Relevant data were then extracted and analyzed. RESULTS Among 4514 searched studies, 7 qualified for the analysis with 1971 patients (DTAS=675, DTCI=1296). Times from door to puncture (mean difference, -30.76 minutes [95% CI, -43.70 to -17.82]; P<0.001) as well as door-to-reperfusion (mean difference=-33.24 minutes [95% CI, -51.82 to -14.66]; P<0.001) were significantly shorter and the rates of functional independence (modified Rankin Scale score, 0-2: risk ratio [RR], 1.25 [95% CI, 1.02-1.53]; P=0.03) at 90 days were higher in the DTAS versus the DTCI approach. There was no difference across the DTAS and DTCI groups in terms of the rates of successful reperfusion (modified Thrombolysis in Cerebral Infarction score 2B-3: RR, 1.03 [95% CI, 0.95-1.12]; P=0.42), near-complete/full reperfusion (modified Thrombolysis in Cerebral Infarction 2C-3: RR, 0.89 [95% CI, 0.74-1.08]; P=0.23), symptomatic intracranial hemorrhage (RR, 0.81 [95% CI, 0.56-1.17]; P=0.26), or fair outcomes (modified Rankin Scale score, 0-3: RR, 1.14 [95% CI, 0.88-1.47]; P=0.32) or mortality (RR, 0.98 [95% CI, 0.67-1.44]; P=0.93) at 90 days. Subgroup analysis showed no significant difference in 90-day functional independence across approaches in transfer patients (RR, 1.20 [95% CI, 0.96-1.51]; P=0.11). CONCLUSIONS Our meta-analysis showed that the DTAS approach seems to be associated with improved time metrics and functional outcomes with comparable safety to the DTCI approach. Ongoing multicenter randomized clinical trials will hopefully provide more definite data about this promising approach.
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Affiliation(s)
- Mahmoud H Mohammaden
- Department of Neurology, Marcus Stroke & Neuroscience Center, Emory University School of Medicine (M.H.M., A.R.A.-B., A.P., N.R.B., D.C.H., R.G.N.).,Grady Memorial Hospital, Atlanta, GA (M.H.M., A.R.A.-B., A.P., N.R.B., D.C.H., R.G.N.)
| | | | - Mohamed Elfil
- Department of Neurological Sciences, University of Nebraska Medical Center, Omaha (M.E.)
| | - Alhamza R Al-Bayati
- Department of Neurology, Marcus Stroke & Neuroscience Center, Emory University School of Medicine (M.H.M., A.R.A.-B., A.P., N.R.B., D.C.H., R.G.N.).,Grady Memorial Hospital, Atlanta, GA (M.H.M., A.R.A.-B., A.P., N.R.B., D.C.H., R.G.N.)
| | - Agostinho Pinheiro
- Department of Neurology, Marcus Stroke & Neuroscience Center, Emory University School of Medicine (M.H.M., A.R.A.-B., A.P., N.R.B., D.C.H., R.G.N.).,Grady Memorial Hospital, Atlanta, GA (M.H.M., A.R.A.-B., A.P., N.R.B., D.C.H., R.G.N.)
| | - Thanh N Nguyen
- Department of Neurology, Boston University School of Medicine, MA (T.N.N.)
| | - Nirav R Bhatt
- Department of Neurology, Marcus Stroke & Neuroscience Center, Emory University School of Medicine (M.H.M., A.R.A.-B., A.P., N.R.B., D.C.H., R.G.N.).,Grady Memorial Hospital, Atlanta, GA (M.H.M., A.R.A.-B., A.P., N.R.B., D.C.H., R.G.N.)
| | - Diogo C Haussen
- Department of Neurology, Marcus Stroke & Neuroscience Center, Emory University School of Medicine (M.H.M., A.R.A.-B., A.P., N.R.B., D.C.H., R.G.N.).,Grady Memorial Hospital, Atlanta, GA (M.H.M., A.R.A.-B., A.P., N.R.B., D.C.H., R.G.N.)
| | - Raul G Nogueira
- Department of Neurology, Marcus Stroke & Neuroscience Center, Emory University School of Medicine (M.H.M., A.R.A.-B., A.P., N.R.B., D.C.H., R.G.N.).,Grady Memorial Hospital, Atlanta, GA (M.H.M., A.R.A.-B., A.P., N.R.B., D.C.H., R.G.N.)
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16
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Shchehlov D, Konotopchyk S, Pastushyn O. Clinical protocol of the ischemic stroke patients treatment. UKRAINIAN INTERVENTIONAL NEURORADIOLOGY AND SURGERY 2022. [DOI: 10.26683/2786-4855-2021-3(37)-14-56] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Today in Ukraine there is no single standardized protocol for the treatment of patients in the acute period of ischemic stroke using modern methods of diagnosis and treatment, which include thrombolytic therapy and endovascular treatment. This protocol was created and implemented in Scientific-practical Center of endovascular neuroradiology, NAMS of Ukraine and is based on the latest recommendations of AHA/ASA and ESO, as well as registers of patients with ischemic stroke. The main purpose of this publication is the creation and implementation of «instructions» for the diagnosis and selection of objective tactics for treating patients in the acute period of ischemic stroke.
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17
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Kerleroux B, Benzakoun J, Janot K, Dargazanli C, Eraya DD, Ben Hassen W, Zhu F, Gory B, Hak JF, Perot C, Detraz L, Bourcier R, Aymeric R, Forestier G, Marnat G, Gariel F, Mordasini P, Seners P, Turc G, Kaesmacher J, Oppenheim C, Naggara O, Boulouis G. Relevance of Brain Regions' Eloquence Assessment in Patients With a Large Ischemic Core Treated With Mechanical Thrombectomy. Neurology 2021; 97:e1975-e1985. [PMID: 34649871 DOI: 10.1212/wnl.0000000000012863] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Accepted: 08/19/2021] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE Individualized patient selection for mechanical thrombectomy (MT) in patients with acute ischemic stroke (AIS) and large ischemic core (LIC) at baseline is an unmet need. We tested the hypothesis that assessing the functional relevance of both infarcted and hypoperfused brain tissue would improve the selection framework of patients with LIC for MT. METHODS We performed a multicenter, retrospective study of adults with LIC (ischemic core volume >70 mL on MRI diffusion-weighted imaging) with MRI perfusion treated with MT or best medical management (BMM). Primary outcome was 3-month modified Rankin Scale (mRS), favorable if 0-3. Global and regional eloquence-based core perfusion mismatch ratios were derived. The predictive accuracy for clinical outcome of eloquent regions involvement was compared in multivariable and bootstrap random forest models. RESULTS A total of 138 patients with baseline LIC were included (MT n = 96 or BMM n = 42; mean age ± SD, 72.4 ± 14.4 years; 34.1% female; mRS 0-3: 45.1%). Mean core and critically hypoperfused volume were 100.4 mL ± 36.3 mL and 157.6 ± 56.2 mL, respectively, and did not differ between groups. Models considering the functional relevance of the infarct location showed a better accuracy for the prediction of mRS 0-3 with a c statistic of 0.76 and 0.83 for logistic regression model and bootstrap random forest testing sets, respectively. In these models, the interaction between treatment effect of MT and the mismatch was significant (p = 0.04). In comparison, in the logistic regression model disregarding functional eloquence, the c statistic was 0.67 and the interaction between MT and the mismatch was insignificant. CONCLUSIONS Considering functional eloquence of hypoperfused tissue in patients with a large infarct core at baseline allows for a more precise estimation of treatment expected benefit. CLASSIFICATION OF EVIDENCE This study provides Class II evidence that, in patients with AIS and LIC, considering the functional eloquence of the infarct location improves prediction of disability status at 3 months.
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Affiliation(s)
- Basile Kerleroux
- From INSERM U1266 (B.K., J.B., W.B.H., C.O., O.N.), Institut of Psychiatry and Neuroscience (IPNP), UMR_S1266, INSERM, Université de Paris, GHU Paris Psychiatrie et Neurosciences, Site Sainte-Anne; Diagnostic and Therapeutic Neuroradiology (K.J., G.B.), CHRU de Tours; Department of Interventional Neuroradiology (C.D., D.D.E.), University Hospital Center of Montpellier, Gui de Chauliac Hospital; Department of Diagnostic and Therapeutic Neuroradiology, CHRU-Nancy (F.Z., B.G.), IADI, INSERM U1254 (F.Z., B.G.), and ADI U1254 (F.Z., G.B.) Université de Lorraine, Nancy; Department of Diagnostic and Interventional Neuroradiology (J.-F.H.) and Neurology Department (C.P.), APHM, Cedex, Timone Hospital, Aix Marseille University; Department of Diagnostic and Interventional Neuroradiology (L.D., R.B.), Guillaume et René Laennec University Hospital, Nantes; Department of Interventional Neuroradiology (R.A., G.F.), Dupuytren University Hospital, Limoges; Department of Diagnostic and Interventional Neuroradiology (G.M., F.G.), Pellegrin Hospital-University Hospital of Bordeaux, France; Institute of Diagnostic, Interventional and Pediatric Radiology and Institute of Diagnostic and Interventional Neuroradiology (P.M., J.K.), University Hospital Bern, Inselspital, University of Bern, Switzerland; Neurology Department (P.S.), Fondation Rothschild Hospital, Paris; Neurology Department (G.T.), GHU Paris Psychiatrie et Neurosciences, Université de Paris, INSERM U1266, FHU NeuroVasc; and Neuroradiology Department (G.B.), Université de Paris, des Neurosciences Psychiatrie de Paris, France.
| | - Joseph Benzakoun
- From INSERM U1266 (B.K., J.B., W.B.H., C.O., O.N.), Institut of Psychiatry and Neuroscience (IPNP), UMR_S1266, INSERM, Université de Paris, GHU Paris Psychiatrie et Neurosciences, Site Sainte-Anne; Diagnostic and Therapeutic Neuroradiology (K.J., G.B.), CHRU de Tours; Department of Interventional Neuroradiology (C.D., D.D.E.), University Hospital Center of Montpellier, Gui de Chauliac Hospital; Department of Diagnostic and Therapeutic Neuroradiology, CHRU-Nancy (F.Z., B.G.), IADI, INSERM U1254 (F.Z., B.G.), and ADI U1254 (F.Z., G.B.) Université de Lorraine, Nancy; Department of Diagnostic and Interventional Neuroradiology (J.-F.H.) and Neurology Department (C.P.), APHM, Cedex, Timone Hospital, Aix Marseille University; Department of Diagnostic and Interventional Neuroradiology (L.D., R.B.), Guillaume et René Laennec University Hospital, Nantes; Department of Interventional Neuroradiology (R.A., G.F.), Dupuytren University Hospital, Limoges; Department of Diagnostic and Interventional Neuroradiology (G.M., F.G.), Pellegrin Hospital-University Hospital of Bordeaux, France; Institute of Diagnostic, Interventional and Pediatric Radiology and Institute of Diagnostic and Interventional Neuroradiology (P.M., J.K.), University Hospital Bern, Inselspital, University of Bern, Switzerland; Neurology Department (P.S.), Fondation Rothschild Hospital, Paris; Neurology Department (G.T.), GHU Paris Psychiatrie et Neurosciences, Université de Paris, INSERM U1266, FHU NeuroVasc; and Neuroradiology Department (G.B.), Université de Paris, des Neurosciences Psychiatrie de Paris, France
| | - Kévin Janot
- From INSERM U1266 (B.K., J.B., W.B.H., C.O., O.N.), Institut of Psychiatry and Neuroscience (IPNP), UMR_S1266, INSERM, Université de Paris, GHU Paris Psychiatrie et Neurosciences, Site Sainte-Anne; Diagnostic and Therapeutic Neuroradiology (K.J., G.B.), CHRU de Tours; Department of Interventional Neuroradiology (C.D., D.D.E.), University Hospital Center of Montpellier, Gui de Chauliac Hospital; Department of Diagnostic and Therapeutic Neuroradiology, CHRU-Nancy (F.Z., B.G.), IADI, INSERM U1254 (F.Z., B.G.), and ADI U1254 (F.Z., G.B.) Université de Lorraine, Nancy; Department of Diagnostic and Interventional Neuroradiology (J.-F.H.) and Neurology Department (C.P.), APHM, Cedex, Timone Hospital, Aix Marseille University; Department of Diagnostic and Interventional Neuroradiology (L.D., R.B.), Guillaume et René Laennec University Hospital, Nantes; Department of Interventional Neuroradiology (R.A., G.F.), Dupuytren University Hospital, Limoges; Department of Diagnostic and Interventional Neuroradiology (G.M., F.G.), Pellegrin Hospital-University Hospital of Bordeaux, France; Institute of Diagnostic, Interventional and Pediatric Radiology and Institute of Diagnostic and Interventional Neuroradiology (P.M., J.K.), University Hospital Bern, Inselspital, University of Bern, Switzerland; Neurology Department (P.S.), Fondation Rothschild Hospital, Paris; Neurology Department (G.T.), GHU Paris Psychiatrie et Neurosciences, Université de Paris, INSERM U1266, FHU NeuroVasc; and Neuroradiology Department (G.B.), Université de Paris, des Neurosciences Psychiatrie de Paris, France
| | - Cyril Dargazanli
- From INSERM U1266 (B.K., J.B., W.B.H., C.O., O.N.), Institut of Psychiatry and Neuroscience (IPNP), UMR_S1266, INSERM, Université de Paris, GHU Paris Psychiatrie et Neurosciences, Site Sainte-Anne; Diagnostic and Therapeutic Neuroradiology (K.J., G.B.), CHRU de Tours; Department of Interventional Neuroradiology (C.D., D.D.E.), University Hospital Center of Montpellier, Gui de Chauliac Hospital; Department of Diagnostic and Therapeutic Neuroradiology, CHRU-Nancy (F.Z., B.G.), IADI, INSERM U1254 (F.Z., B.G.), and ADI U1254 (F.Z., G.B.) Université de Lorraine, Nancy; Department of Diagnostic and Interventional Neuroradiology (J.-F.H.) and Neurology Department (C.P.), APHM, Cedex, Timone Hospital, Aix Marseille University; Department of Diagnostic and Interventional Neuroradiology (L.D., R.B.), Guillaume et René Laennec University Hospital, Nantes; Department of Interventional Neuroradiology (R.A., G.F.), Dupuytren University Hospital, Limoges; Department of Diagnostic and Interventional Neuroradiology (G.M., F.G.), Pellegrin Hospital-University Hospital of Bordeaux, France; Institute of Diagnostic, Interventional and Pediatric Radiology and Institute of Diagnostic and Interventional Neuroradiology (P.M., J.K.), University Hospital Bern, Inselspital, University of Bern, Switzerland; Neurology Department (P.S.), Fondation Rothschild Hospital, Paris; Neurology Department (G.T.), GHU Paris Psychiatrie et Neurosciences, Université de Paris, INSERM U1266, FHU NeuroVasc; and Neuroradiology Department (G.B.), Université de Paris, des Neurosciences Psychiatrie de Paris, France
| | - Dimitri Daly Eraya
- From INSERM U1266 (B.K., J.B., W.B.H., C.O., O.N.), Institut of Psychiatry and Neuroscience (IPNP), UMR_S1266, INSERM, Université de Paris, GHU Paris Psychiatrie et Neurosciences, Site Sainte-Anne; Diagnostic and Therapeutic Neuroradiology (K.J., G.B.), CHRU de Tours; Department of Interventional Neuroradiology (C.D., D.D.E.), University Hospital Center of Montpellier, Gui de Chauliac Hospital; Department of Diagnostic and Therapeutic Neuroradiology, CHRU-Nancy (F.Z., B.G.), IADI, INSERM U1254 (F.Z., B.G.), and ADI U1254 (F.Z., G.B.) Université de Lorraine, Nancy; Department of Diagnostic and Interventional Neuroradiology (J.-F.H.) and Neurology Department (C.P.), APHM, Cedex, Timone Hospital, Aix Marseille University; Department of Diagnostic and Interventional Neuroradiology (L.D., R.B.), Guillaume et René Laennec University Hospital, Nantes; Department of Interventional Neuroradiology (R.A., G.F.), Dupuytren University Hospital, Limoges; Department of Diagnostic and Interventional Neuroradiology (G.M., F.G.), Pellegrin Hospital-University Hospital of Bordeaux, France; Institute of Diagnostic, Interventional and Pediatric Radiology and Institute of Diagnostic and Interventional Neuroradiology (P.M., J.K.), University Hospital Bern, Inselspital, University of Bern, Switzerland; Neurology Department (P.S.), Fondation Rothschild Hospital, Paris; Neurology Department (G.T.), GHU Paris Psychiatrie et Neurosciences, Université de Paris, INSERM U1266, FHU NeuroVasc; and Neuroradiology Department (G.B.), Université de Paris, des Neurosciences Psychiatrie de Paris, France
| | - Wagih Ben Hassen
- From INSERM U1266 (B.K., J.B., W.B.H., C.O., O.N.), Institut of Psychiatry and Neuroscience (IPNP), UMR_S1266, INSERM, Université de Paris, GHU Paris Psychiatrie et Neurosciences, Site Sainte-Anne; Diagnostic and Therapeutic Neuroradiology (K.J., G.B.), CHRU de Tours; Department of Interventional Neuroradiology (C.D., D.D.E.), University Hospital Center of Montpellier, Gui de Chauliac Hospital; Department of Diagnostic and Therapeutic Neuroradiology, CHRU-Nancy (F.Z., B.G.), IADI, INSERM U1254 (F.Z., B.G.), and ADI U1254 (F.Z., G.B.) Université de Lorraine, Nancy; Department of Diagnostic and Interventional Neuroradiology (J.-F.H.) and Neurology Department (C.P.), APHM, Cedex, Timone Hospital, Aix Marseille University; Department of Diagnostic and Interventional Neuroradiology (L.D., R.B.), Guillaume et René Laennec University Hospital, Nantes; Department of Interventional Neuroradiology (R.A., G.F.), Dupuytren University Hospital, Limoges; Department of Diagnostic and Interventional Neuroradiology (G.M., F.G.), Pellegrin Hospital-University Hospital of Bordeaux, France; Institute of Diagnostic, Interventional and Pediatric Radiology and Institute of Diagnostic and Interventional Neuroradiology (P.M., J.K.), University Hospital Bern, Inselspital, University of Bern, Switzerland; Neurology Department (P.S.), Fondation Rothschild Hospital, Paris; Neurology Department (G.T.), GHU Paris Psychiatrie et Neurosciences, Université de Paris, INSERM U1266, FHU NeuroVasc; and Neuroradiology Department (G.B.), Université de Paris, des Neurosciences Psychiatrie de Paris, France
| | - François Zhu
- From INSERM U1266 (B.K., J.B., W.B.H., C.O., O.N.), Institut of Psychiatry and Neuroscience (IPNP), UMR_S1266, INSERM, Université de Paris, GHU Paris Psychiatrie et Neurosciences, Site Sainte-Anne; Diagnostic and Therapeutic Neuroradiology (K.J., G.B.), CHRU de Tours; Department of Interventional Neuroradiology (C.D., D.D.E.), University Hospital Center of Montpellier, Gui de Chauliac Hospital; Department of Diagnostic and Therapeutic Neuroradiology, CHRU-Nancy (F.Z., B.G.), IADI, INSERM U1254 (F.Z., B.G.), and ADI U1254 (F.Z., G.B.) Université de Lorraine, Nancy; Department of Diagnostic and Interventional Neuroradiology (J.-F.H.) and Neurology Department (C.P.), APHM, Cedex, Timone Hospital, Aix Marseille University; Department of Diagnostic and Interventional Neuroradiology (L.D., R.B.), Guillaume et René Laennec University Hospital, Nantes; Department of Interventional Neuroradiology (R.A., G.F.), Dupuytren University Hospital, Limoges; Department of Diagnostic and Interventional Neuroradiology (G.M., F.G.), Pellegrin Hospital-University Hospital of Bordeaux, France; Institute of Diagnostic, Interventional and Pediatric Radiology and Institute of Diagnostic and Interventional Neuroradiology (P.M., J.K.), University Hospital Bern, Inselspital, University of Bern, Switzerland; Neurology Department (P.S.), Fondation Rothschild Hospital, Paris; Neurology Department (G.T.), GHU Paris Psychiatrie et Neurosciences, Université de Paris, INSERM U1266, FHU NeuroVasc; and Neuroradiology Department (G.B.), Université de Paris, des Neurosciences Psychiatrie de Paris, France
| | - Benjamin Gory
- From INSERM U1266 (B.K., J.B., W.B.H., C.O., O.N.), Institut of Psychiatry and Neuroscience (IPNP), UMR_S1266, INSERM, Université de Paris, GHU Paris Psychiatrie et Neurosciences, Site Sainte-Anne; Diagnostic and Therapeutic Neuroradiology (K.J., G.B.), CHRU de Tours; Department of Interventional Neuroradiology (C.D., D.D.E.), University Hospital Center of Montpellier, Gui de Chauliac Hospital; Department of Diagnostic and Therapeutic Neuroradiology, CHRU-Nancy (F.Z., B.G.), IADI, INSERM U1254 (F.Z., B.G.), and ADI U1254 (F.Z., G.B.) Université de Lorraine, Nancy; Department of Diagnostic and Interventional Neuroradiology (J.-F.H.) and Neurology Department (C.P.), APHM, Cedex, Timone Hospital, Aix Marseille University; Department of Diagnostic and Interventional Neuroradiology (L.D., R.B.), Guillaume et René Laennec University Hospital, Nantes; Department of Interventional Neuroradiology (R.A., G.F.), Dupuytren University Hospital, Limoges; Department of Diagnostic and Interventional Neuroradiology (G.M., F.G.), Pellegrin Hospital-University Hospital of Bordeaux, France; Institute of Diagnostic, Interventional and Pediatric Radiology and Institute of Diagnostic and Interventional Neuroradiology (P.M., J.K.), University Hospital Bern, Inselspital, University of Bern, Switzerland; Neurology Department (P.S.), Fondation Rothschild Hospital, Paris; Neurology Department (G.T.), GHU Paris Psychiatrie et Neurosciences, Université de Paris, INSERM U1266, FHU NeuroVasc; and Neuroradiology Department (G.B.), Université de Paris, des Neurosciences Psychiatrie de Paris, France
| | - Jean-Francois Hak
- From INSERM U1266 (B.K., J.B., W.B.H., C.O., O.N.), Institut of Psychiatry and Neuroscience (IPNP), UMR_S1266, INSERM, Université de Paris, GHU Paris Psychiatrie et Neurosciences, Site Sainte-Anne; Diagnostic and Therapeutic Neuroradiology (K.J., G.B.), CHRU de Tours; Department of Interventional Neuroradiology (C.D., D.D.E.), University Hospital Center of Montpellier, Gui de Chauliac Hospital; Department of Diagnostic and Therapeutic Neuroradiology, CHRU-Nancy (F.Z., B.G.), IADI, INSERM U1254 (F.Z., B.G.), and ADI U1254 (F.Z., G.B.) Université de Lorraine, Nancy; Department of Diagnostic and Interventional Neuroradiology (J.-F.H.) and Neurology Department (C.P.), APHM, Cedex, Timone Hospital, Aix Marseille University; Department of Diagnostic and Interventional Neuroradiology (L.D., R.B.), Guillaume et René Laennec University Hospital, Nantes; Department of Interventional Neuroradiology (R.A., G.F.), Dupuytren University Hospital, Limoges; Department of Diagnostic and Interventional Neuroradiology (G.M., F.G.), Pellegrin Hospital-University Hospital of Bordeaux, France; Institute of Diagnostic, Interventional and Pediatric Radiology and Institute of Diagnostic and Interventional Neuroradiology (P.M., J.K.), University Hospital Bern, Inselspital, University of Bern, Switzerland; Neurology Department (P.S.), Fondation Rothschild Hospital, Paris; Neurology Department (G.T.), GHU Paris Psychiatrie et Neurosciences, Université de Paris, INSERM U1266, FHU NeuroVasc; and Neuroradiology Department (G.B.), Université de Paris, des Neurosciences Psychiatrie de Paris, France
| | - Charline Perot
- From INSERM U1266 (B.K., J.B., W.B.H., C.O., O.N.), Institut of Psychiatry and Neuroscience (IPNP), UMR_S1266, INSERM, Université de Paris, GHU Paris Psychiatrie et Neurosciences, Site Sainte-Anne; Diagnostic and Therapeutic Neuroradiology (K.J., G.B.), CHRU de Tours; Department of Interventional Neuroradiology (C.D., D.D.E.), University Hospital Center of Montpellier, Gui de Chauliac Hospital; Department of Diagnostic and Therapeutic Neuroradiology, CHRU-Nancy (F.Z., B.G.), IADI, INSERM U1254 (F.Z., B.G.), and ADI U1254 (F.Z., G.B.) Université de Lorraine, Nancy; Department of Diagnostic and Interventional Neuroradiology (J.-F.H.) and Neurology Department (C.P.), APHM, Cedex, Timone Hospital, Aix Marseille University; Department of Diagnostic and Interventional Neuroradiology (L.D., R.B.), Guillaume et René Laennec University Hospital, Nantes; Department of Interventional Neuroradiology (R.A., G.F.), Dupuytren University Hospital, Limoges; Department of Diagnostic and Interventional Neuroradiology (G.M., F.G.), Pellegrin Hospital-University Hospital of Bordeaux, France; Institute of Diagnostic, Interventional and Pediatric Radiology and Institute of Diagnostic and Interventional Neuroradiology (P.M., J.K.), University Hospital Bern, Inselspital, University of Bern, Switzerland; Neurology Department (P.S.), Fondation Rothschild Hospital, Paris; Neurology Department (G.T.), GHU Paris Psychiatrie et Neurosciences, Université de Paris, INSERM U1266, FHU NeuroVasc; and Neuroradiology Department (G.B.), Université de Paris, des Neurosciences Psychiatrie de Paris, France
| | - Lili Detraz
- From INSERM U1266 (B.K., J.B., W.B.H., C.O., O.N.), Institut of Psychiatry and Neuroscience (IPNP), UMR_S1266, INSERM, Université de Paris, GHU Paris Psychiatrie et Neurosciences, Site Sainte-Anne; Diagnostic and Therapeutic Neuroradiology (K.J., G.B.), CHRU de Tours; Department of Interventional Neuroradiology (C.D., D.D.E.), University Hospital Center of Montpellier, Gui de Chauliac Hospital; Department of Diagnostic and Therapeutic Neuroradiology, CHRU-Nancy (F.Z., B.G.), IADI, INSERM U1254 (F.Z., B.G.), and ADI U1254 (F.Z., G.B.) Université de Lorraine, Nancy; Department of Diagnostic and Interventional Neuroradiology (J.-F.H.) and Neurology Department (C.P.), APHM, Cedex, Timone Hospital, Aix Marseille University; Department of Diagnostic and Interventional Neuroradiology (L.D., R.B.), Guillaume et René Laennec University Hospital, Nantes; Department of Interventional Neuroradiology (R.A., G.F.), Dupuytren University Hospital, Limoges; Department of Diagnostic and Interventional Neuroradiology (G.M., F.G.), Pellegrin Hospital-University Hospital of Bordeaux, France; Institute of Diagnostic, Interventional and Pediatric Radiology and Institute of Diagnostic and Interventional Neuroradiology (P.M., J.K.), University Hospital Bern, Inselspital, University of Bern, Switzerland; Neurology Department (P.S.), Fondation Rothschild Hospital, Paris; Neurology Department (G.T.), GHU Paris Psychiatrie et Neurosciences, Université de Paris, INSERM U1266, FHU NeuroVasc; and Neuroradiology Department (G.B.), Université de Paris, des Neurosciences Psychiatrie de Paris, France
| | - Romain Bourcier
- From INSERM U1266 (B.K., J.B., W.B.H., C.O., O.N.), Institut of Psychiatry and Neuroscience (IPNP), UMR_S1266, INSERM, Université de Paris, GHU Paris Psychiatrie et Neurosciences, Site Sainte-Anne; Diagnostic and Therapeutic Neuroradiology (K.J., G.B.), CHRU de Tours; Department of Interventional Neuroradiology (C.D., D.D.E.), University Hospital Center of Montpellier, Gui de Chauliac Hospital; Department of Diagnostic and Therapeutic Neuroradiology, CHRU-Nancy (F.Z., B.G.), IADI, INSERM U1254 (F.Z., B.G.), and ADI U1254 (F.Z., G.B.) Université de Lorraine, Nancy; Department of Diagnostic and Interventional Neuroradiology (J.-F.H.) and Neurology Department (C.P.), APHM, Cedex, Timone Hospital, Aix Marseille University; Department of Diagnostic and Interventional Neuroradiology (L.D., R.B.), Guillaume et René Laennec University Hospital, Nantes; Department of Interventional Neuroradiology (R.A., G.F.), Dupuytren University Hospital, Limoges; Department of Diagnostic and Interventional Neuroradiology (G.M., F.G.), Pellegrin Hospital-University Hospital of Bordeaux, France; Institute of Diagnostic, Interventional and Pediatric Radiology and Institute of Diagnostic and Interventional Neuroradiology (P.M., J.K.), University Hospital Bern, Inselspital, University of Bern, Switzerland; Neurology Department (P.S.), Fondation Rothschild Hospital, Paris; Neurology Department (G.T.), GHU Paris Psychiatrie et Neurosciences, Université de Paris, INSERM U1266, FHU NeuroVasc; and Neuroradiology Department (G.B.), Université de Paris, des Neurosciences Psychiatrie de Paris, France
| | - Rouchaud Aymeric
- From INSERM U1266 (B.K., J.B., W.B.H., C.O., O.N.), Institut of Psychiatry and Neuroscience (IPNP), UMR_S1266, INSERM, Université de Paris, GHU Paris Psychiatrie et Neurosciences, Site Sainte-Anne; Diagnostic and Therapeutic Neuroradiology (K.J., G.B.), CHRU de Tours; Department of Interventional Neuroradiology (C.D., D.D.E.), University Hospital Center of Montpellier, Gui de Chauliac Hospital; Department of Diagnostic and Therapeutic Neuroradiology, CHRU-Nancy (F.Z., B.G.), IADI, INSERM U1254 (F.Z., B.G.), and ADI U1254 (F.Z., G.B.) Université de Lorraine, Nancy; Department of Diagnostic and Interventional Neuroradiology (J.-F.H.) and Neurology Department (C.P.), APHM, Cedex, Timone Hospital, Aix Marseille University; Department of Diagnostic and Interventional Neuroradiology (L.D., R.B.), Guillaume et René Laennec University Hospital, Nantes; Department of Interventional Neuroradiology (R.A., G.F.), Dupuytren University Hospital, Limoges; Department of Diagnostic and Interventional Neuroradiology (G.M., F.G.), Pellegrin Hospital-University Hospital of Bordeaux, France; Institute of Diagnostic, Interventional and Pediatric Radiology and Institute of Diagnostic and Interventional Neuroradiology (P.M., J.K.), University Hospital Bern, Inselspital, University of Bern, Switzerland; Neurology Department (P.S.), Fondation Rothschild Hospital, Paris; Neurology Department (G.T.), GHU Paris Psychiatrie et Neurosciences, Université de Paris, INSERM U1266, FHU NeuroVasc; and Neuroradiology Department (G.B.), Université de Paris, des Neurosciences Psychiatrie de Paris, France
| | - Géraud Forestier
- From INSERM U1266 (B.K., J.B., W.B.H., C.O., O.N.), Institut of Psychiatry and Neuroscience (IPNP), UMR_S1266, INSERM, Université de Paris, GHU Paris Psychiatrie et Neurosciences, Site Sainte-Anne; Diagnostic and Therapeutic Neuroradiology (K.J., G.B.), CHRU de Tours; Department of Interventional Neuroradiology (C.D., D.D.E.), University Hospital Center of Montpellier, Gui de Chauliac Hospital; Department of Diagnostic and Therapeutic Neuroradiology, CHRU-Nancy (F.Z., B.G.), IADI, INSERM U1254 (F.Z., B.G.), and ADI U1254 (F.Z., G.B.) Université de Lorraine, Nancy; Department of Diagnostic and Interventional Neuroradiology (J.-F.H.) and Neurology Department (C.P.), APHM, Cedex, Timone Hospital, Aix Marseille University; Department of Diagnostic and Interventional Neuroradiology (L.D., R.B.), Guillaume et René Laennec University Hospital, Nantes; Department of Interventional Neuroradiology (R.A., G.F.), Dupuytren University Hospital, Limoges; Department of Diagnostic and Interventional Neuroradiology (G.M., F.G.), Pellegrin Hospital-University Hospital of Bordeaux, France; Institute of Diagnostic, Interventional and Pediatric Radiology and Institute of Diagnostic and Interventional Neuroradiology (P.M., J.K.), University Hospital Bern, Inselspital, University of Bern, Switzerland; Neurology Department (P.S.), Fondation Rothschild Hospital, Paris; Neurology Department (G.T.), GHU Paris Psychiatrie et Neurosciences, Université de Paris, INSERM U1266, FHU NeuroVasc; and Neuroradiology Department (G.B.), Université de Paris, des Neurosciences Psychiatrie de Paris, France
| | - Gaultier Marnat
- From INSERM U1266 (B.K., J.B., W.B.H., C.O., O.N.), Institut of Psychiatry and Neuroscience (IPNP), UMR_S1266, INSERM, Université de Paris, GHU Paris Psychiatrie et Neurosciences, Site Sainte-Anne; Diagnostic and Therapeutic Neuroradiology (K.J., G.B.), CHRU de Tours; Department of Interventional Neuroradiology (C.D., D.D.E.), University Hospital Center of Montpellier, Gui de Chauliac Hospital; Department of Diagnostic and Therapeutic Neuroradiology, CHRU-Nancy (F.Z., B.G.), IADI, INSERM U1254 (F.Z., B.G.), and ADI U1254 (F.Z., G.B.) Université de Lorraine, Nancy; Department of Diagnostic and Interventional Neuroradiology (J.-F.H.) and Neurology Department (C.P.), APHM, Cedex, Timone Hospital, Aix Marseille University; Department of Diagnostic and Interventional Neuroradiology (L.D., R.B.), Guillaume et René Laennec University Hospital, Nantes; Department of Interventional Neuroradiology (R.A., G.F.), Dupuytren University Hospital, Limoges; Department of Diagnostic and Interventional Neuroradiology (G.M., F.G.), Pellegrin Hospital-University Hospital of Bordeaux, France; Institute of Diagnostic, Interventional and Pediatric Radiology and Institute of Diagnostic and Interventional Neuroradiology (P.M., J.K.), University Hospital Bern, Inselspital, University of Bern, Switzerland; Neurology Department (P.S.), Fondation Rothschild Hospital, Paris; Neurology Department (G.T.), GHU Paris Psychiatrie et Neurosciences, Université de Paris, INSERM U1266, FHU NeuroVasc; and Neuroradiology Department (G.B.), Université de Paris, des Neurosciences Psychiatrie de Paris, France
| | - Florent Gariel
- From INSERM U1266 (B.K., J.B., W.B.H., C.O., O.N.), Institut of Psychiatry and Neuroscience (IPNP), UMR_S1266, INSERM, Université de Paris, GHU Paris Psychiatrie et Neurosciences, Site Sainte-Anne; Diagnostic and Therapeutic Neuroradiology (K.J., G.B.), CHRU de Tours; Department of Interventional Neuroradiology (C.D., D.D.E.), University Hospital Center of Montpellier, Gui de Chauliac Hospital; Department of Diagnostic and Therapeutic Neuroradiology, CHRU-Nancy (F.Z., B.G.), IADI, INSERM U1254 (F.Z., B.G.), and ADI U1254 (F.Z., G.B.) Université de Lorraine, Nancy; Department of Diagnostic and Interventional Neuroradiology (J.-F.H.) and Neurology Department (C.P.), APHM, Cedex, Timone Hospital, Aix Marseille University; Department of Diagnostic and Interventional Neuroradiology (L.D., R.B.), Guillaume et René Laennec University Hospital, Nantes; Department of Interventional Neuroradiology (R.A., G.F.), Dupuytren University Hospital, Limoges; Department of Diagnostic and Interventional Neuroradiology (G.M., F.G.), Pellegrin Hospital-University Hospital of Bordeaux, France; Institute of Diagnostic, Interventional and Pediatric Radiology and Institute of Diagnostic and Interventional Neuroradiology (P.M., J.K.), University Hospital Bern, Inselspital, University of Bern, Switzerland; Neurology Department (P.S.), Fondation Rothschild Hospital, Paris; Neurology Department (G.T.), GHU Paris Psychiatrie et Neurosciences, Université de Paris, INSERM U1266, FHU NeuroVasc; and Neuroradiology Department (G.B.), Université de Paris, des Neurosciences Psychiatrie de Paris, France
| | - Pasquale Mordasini
- From INSERM U1266 (B.K., J.B., W.B.H., C.O., O.N.), Institut of Psychiatry and Neuroscience (IPNP), UMR_S1266, INSERM, Université de Paris, GHU Paris Psychiatrie et Neurosciences, Site Sainte-Anne; Diagnostic and Therapeutic Neuroradiology (K.J., G.B.), CHRU de Tours; Department of Interventional Neuroradiology (C.D., D.D.E.), University Hospital Center of Montpellier, Gui de Chauliac Hospital; Department of Diagnostic and Therapeutic Neuroradiology, CHRU-Nancy (F.Z., B.G.), IADI, INSERM U1254 (F.Z., B.G.), and ADI U1254 (F.Z., G.B.) Université de Lorraine, Nancy; Department of Diagnostic and Interventional Neuroradiology (J.-F.H.) and Neurology Department (C.P.), APHM, Cedex, Timone Hospital, Aix Marseille University; Department of Diagnostic and Interventional Neuroradiology (L.D., R.B.), Guillaume et René Laennec University Hospital, Nantes; Department of Interventional Neuroradiology (R.A., G.F.), Dupuytren University Hospital, Limoges; Department of Diagnostic and Interventional Neuroradiology (G.M., F.G.), Pellegrin Hospital-University Hospital of Bordeaux, France; Institute of Diagnostic, Interventional and Pediatric Radiology and Institute of Diagnostic and Interventional Neuroradiology (P.M., J.K.), University Hospital Bern, Inselspital, University of Bern, Switzerland; Neurology Department (P.S.), Fondation Rothschild Hospital, Paris; Neurology Department (G.T.), GHU Paris Psychiatrie et Neurosciences, Université de Paris, INSERM U1266, FHU NeuroVasc; and Neuroradiology Department (G.B.), Université de Paris, des Neurosciences Psychiatrie de Paris, France
| | - Pierre Seners
- From INSERM U1266 (B.K., J.B., W.B.H., C.O., O.N.), Institut of Psychiatry and Neuroscience (IPNP), UMR_S1266, INSERM, Université de Paris, GHU Paris Psychiatrie et Neurosciences, Site Sainte-Anne; Diagnostic and Therapeutic Neuroradiology (K.J., G.B.), CHRU de Tours; Department of Interventional Neuroradiology (C.D., D.D.E.), University Hospital Center of Montpellier, Gui de Chauliac Hospital; Department of Diagnostic and Therapeutic Neuroradiology, CHRU-Nancy (F.Z., B.G.), IADI, INSERM U1254 (F.Z., B.G.), and ADI U1254 (F.Z., G.B.) Université de Lorraine, Nancy; Department of Diagnostic and Interventional Neuroradiology (J.-F.H.) and Neurology Department (C.P.), APHM, Cedex, Timone Hospital, Aix Marseille University; Department of Diagnostic and Interventional Neuroradiology (L.D., R.B.), Guillaume et René Laennec University Hospital, Nantes; Department of Interventional Neuroradiology (R.A., G.F.), Dupuytren University Hospital, Limoges; Department of Diagnostic and Interventional Neuroradiology (G.M., F.G.), Pellegrin Hospital-University Hospital of Bordeaux, France; Institute of Diagnostic, Interventional and Pediatric Radiology and Institute of Diagnostic and Interventional Neuroradiology (P.M., J.K.), University Hospital Bern, Inselspital, University of Bern, Switzerland; Neurology Department (P.S.), Fondation Rothschild Hospital, Paris; Neurology Department (G.T.), GHU Paris Psychiatrie et Neurosciences, Université de Paris, INSERM U1266, FHU NeuroVasc; and Neuroradiology Department (G.B.), Université de Paris, des Neurosciences Psychiatrie de Paris, France
| | - Guillaume Turc
- From INSERM U1266 (B.K., J.B., W.B.H., C.O., O.N.), Institut of Psychiatry and Neuroscience (IPNP), UMR_S1266, INSERM, Université de Paris, GHU Paris Psychiatrie et Neurosciences, Site Sainte-Anne; Diagnostic and Therapeutic Neuroradiology (K.J., G.B.), CHRU de Tours; Department of Interventional Neuroradiology (C.D., D.D.E.), University Hospital Center of Montpellier, Gui de Chauliac Hospital; Department of Diagnostic and Therapeutic Neuroradiology, CHRU-Nancy (F.Z., B.G.), IADI, INSERM U1254 (F.Z., B.G.), and ADI U1254 (F.Z., G.B.) Université de Lorraine, Nancy; Department of Diagnostic and Interventional Neuroradiology (J.-F.H.) and Neurology Department (C.P.), APHM, Cedex, Timone Hospital, Aix Marseille University; Department of Diagnostic and Interventional Neuroradiology (L.D., R.B.), Guillaume et René Laennec University Hospital, Nantes; Department of Interventional Neuroradiology (R.A., G.F.), Dupuytren University Hospital, Limoges; Department of Diagnostic and Interventional Neuroradiology (G.M., F.G.), Pellegrin Hospital-University Hospital of Bordeaux, France; Institute of Diagnostic, Interventional and Pediatric Radiology and Institute of Diagnostic and Interventional Neuroradiology (P.M., J.K.), University Hospital Bern, Inselspital, University of Bern, Switzerland; Neurology Department (P.S.), Fondation Rothschild Hospital, Paris; Neurology Department (G.T.), GHU Paris Psychiatrie et Neurosciences, Université de Paris, INSERM U1266, FHU NeuroVasc; and Neuroradiology Department (G.B.), Université de Paris, des Neurosciences Psychiatrie de Paris, France
| | - Johannes Kaesmacher
- From INSERM U1266 (B.K., J.B., W.B.H., C.O., O.N.), Institut of Psychiatry and Neuroscience (IPNP), UMR_S1266, INSERM, Université de Paris, GHU Paris Psychiatrie et Neurosciences, Site Sainte-Anne; Diagnostic and Therapeutic Neuroradiology (K.J., G.B.), CHRU de Tours; Department of Interventional Neuroradiology (C.D., D.D.E.), University Hospital Center of Montpellier, Gui de Chauliac Hospital; Department of Diagnostic and Therapeutic Neuroradiology, CHRU-Nancy (F.Z., B.G.), IADI, INSERM U1254 (F.Z., B.G.), and ADI U1254 (F.Z., G.B.) Université de Lorraine, Nancy; Department of Diagnostic and Interventional Neuroradiology (J.-F.H.) and Neurology Department (C.P.), APHM, Cedex, Timone Hospital, Aix Marseille University; Department of Diagnostic and Interventional Neuroradiology (L.D., R.B.), Guillaume et René Laennec University Hospital, Nantes; Department of Interventional Neuroradiology (R.A., G.F.), Dupuytren University Hospital, Limoges; Department of Diagnostic and Interventional Neuroradiology (G.M., F.G.), Pellegrin Hospital-University Hospital of Bordeaux, France; Institute of Diagnostic, Interventional and Pediatric Radiology and Institute of Diagnostic and Interventional Neuroradiology (P.M., J.K.), University Hospital Bern, Inselspital, University of Bern, Switzerland; Neurology Department (P.S.), Fondation Rothschild Hospital, Paris; Neurology Department (G.T.), GHU Paris Psychiatrie et Neurosciences, Université de Paris, INSERM U1266, FHU NeuroVasc; and Neuroradiology Department (G.B.), Université de Paris, des Neurosciences Psychiatrie de Paris, France
| | - Catherine Oppenheim
- From INSERM U1266 (B.K., J.B., W.B.H., C.O., O.N.), Institut of Psychiatry and Neuroscience (IPNP), UMR_S1266, INSERM, Université de Paris, GHU Paris Psychiatrie et Neurosciences, Site Sainte-Anne; Diagnostic and Therapeutic Neuroradiology (K.J., G.B.), CHRU de Tours; Department of Interventional Neuroradiology (C.D., D.D.E.), University Hospital Center of Montpellier, Gui de Chauliac Hospital; Department of Diagnostic and Therapeutic Neuroradiology, CHRU-Nancy (F.Z., B.G.), IADI, INSERM U1254 (F.Z., B.G.), and ADI U1254 (F.Z., G.B.) Université de Lorraine, Nancy; Department of Diagnostic and Interventional Neuroradiology (J.-F.H.) and Neurology Department (C.P.), APHM, Cedex, Timone Hospital, Aix Marseille University; Department of Diagnostic and Interventional Neuroradiology (L.D., R.B.), Guillaume et René Laennec University Hospital, Nantes; Department of Interventional Neuroradiology (R.A., G.F.), Dupuytren University Hospital, Limoges; Department of Diagnostic and Interventional Neuroradiology (G.M., F.G.), Pellegrin Hospital-University Hospital of Bordeaux, France; Institute of Diagnostic, Interventional and Pediatric Radiology and Institute of Diagnostic and Interventional Neuroradiology (P.M., J.K.), University Hospital Bern, Inselspital, University of Bern, Switzerland; Neurology Department (P.S.), Fondation Rothschild Hospital, Paris; Neurology Department (G.T.), GHU Paris Psychiatrie et Neurosciences, Université de Paris, INSERM U1266, FHU NeuroVasc; and Neuroradiology Department (G.B.), Université de Paris, des Neurosciences Psychiatrie de Paris, France
| | - Olivier Naggara
- From INSERM U1266 (B.K., J.B., W.B.H., C.O., O.N.), Institut of Psychiatry and Neuroscience (IPNP), UMR_S1266, INSERM, Université de Paris, GHU Paris Psychiatrie et Neurosciences, Site Sainte-Anne; Diagnostic and Therapeutic Neuroradiology (K.J., G.B.), CHRU de Tours; Department of Interventional Neuroradiology (C.D., D.D.E.), University Hospital Center of Montpellier, Gui de Chauliac Hospital; Department of Diagnostic and Therapeutic Neuroradiology, CHRU-Nancy (F.Z., B.G.), IADI, INSERM U1254 (F.Z., B.G.), and ADI U1254 (F.Z., G.B.) Université de Lorraine, Nancy; Department of Diagnostic and Interventional Neuroradiology (J.-F.H.) and Neurology Department (C.P.), APHM, Cedex, Timone Hospital, Aix Marseille University; Department of Diagnostic and Interventional Neuroradiology (L.D., R.B.), Guillaume et René Laennec University Hospital, Nantes; Department of Interventional Neuroradiology (R.A., G.F.), Dupuytren University Hospital, Limoges; Department of Diagnostic and Interventional Neuroradiology (G.M., F.G.), Pellegrin Hospital-University Hospital of Bordeaux, France; Institute of Diagnostic, Interventional and Pediatric Radiology and Institute of Diagnostic and Interventional Neuroradiology (P.M., J.K.), University Hospital Bern, Inselspital, University of Bern, Switzerland; Neurology Department (P.S.), Fondation Rothschild Hospital, Paris; Neurology Department (G.T.), GHU Paris Psychiatrie et Neurosciences, Université de Paris, INSERM U1266, FHU NeuroVasc; and Neuroradiology Department (G.B.), Université de Paris, des Neurosciences Psychiatrie de Paris, France
| | - Gregoire Boulouis
- From INSERM U1266 (B.K., J.B., W.B.H., C.O., O.N.), Institut of Psychiatry and Neuroscience (IPNP), UMR_S1266, INSERM, Université de Paris, GHU Paris Psychiatrie et Neurosciences, Site Sainte-Anne; Diagnostic and Therapeutic Neuroradiology (K.J., G.B.), CHRU de Tours; Department of Interventional Neuroradiology (C.D., D.D.E.), University Hospital Center of Montpellier, Gui de Chauliac Hospital; Department of Diagnostic and Therapeutic Neuroradiology, CHRU-Nancy (F.Z., B.G.), IADI, INSERM U1254 (F.Z., B.G.), and ADI U1254 (F.Z., G.B.) Université de Lorraine, Nancy; Department of Diagnostic and Interventional Neuroradiology (J.-F.H.) and Neurology Department (C.P.), APHM, Cedex, Timone Hospital, Aix Marseille University; Department of Diagnostic and Interventional Neuroradiology (L.D., R.B.), Guillaume et René Laennec University Hospital, Nantes; Department of Interventional Neuroradiology (R.A., G.F.), Dupuytren University Hospital, Limoges; Department of Diagnostic and Interventional Neuroradiology (G.M., F.G.), Pellegrin Hospital-University Hospital of Bordeaux, France; Institute of Diagnostic, Interventional and Pediatric Radiology and Institute of Diagnostic and Interventional Neuroradiology (P.M., J.K.), University Hospital Bern, Inselspital, University of Bern, Switzerland; Neurology Department (P.S.), Fondation Rothschild Hospital, Paris; Neurology Department (G.T.), GHU Paris Psychiatrie et Neurosciences, Université de Paris, INSERM U1266, FHU NeuroVasc; and Neuroradiology Department (G.B.), Université de Paris, des Neurosciences Psychiatrie de Paris, France
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Requena M, Ren Z, Ribo M. Direct Transfer to Angiosuite in Acute Stroke: Why, When, and How? Neurology 2021; 97:S34-S41. [PMID: 34785602 DOI: 10.1212/wnl.0000000000012799] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Accepted: 05/05/2021] [Indexed: 02/04/2023] Open
Abstract
Time to reperfusion is one of the strongest predictors of functional outcome in acute stroke due to a large vessel occlusion (LVO). Direct transfer to angiography suite (DTAS) protocols have shown encouraging results in reducing in-hospital delays. DTAS allows bypassing of conventional imaging in the emergency room by ruling out an intracranial hemorrhage or a large established infarct with imaging performed before transfer to the thrombectomy-capable center in the angiography suite using flat-panel CT (FP-CT). The rate of patients with stroke code primarily admitted to a comprehensive stroke center with a large ischemic established lesion is <10% within 6 hours from onset and remains <20% among patients with LVO or transferred from a primary stroke center. At the same time, stroke severity is an acceptable predictor of LVO. Therefore, ideal DTAS candidates are patients admitted in the early window with severe symptoms. The main difference between protocols adopted in different centers is the inclusion of FP-CT angiography to confirm an LVO before femoral puncture. While some centers advocate for FP-CT angiography, others favor additional time saving by directly assessing the presence of LVO with an angiogram. The latter, however, leads to unnecessary arterial punctures in patients with no LVO (3%-22% depending on selection criteria). Independently of these different imaging protocols, DTAS has been shown to be effective and safe in improving in-hospital workflow, achieving a reduction of door-to-puncture time as low as 16 minutes without safety concerns. The impact of DTAS on long-term functional outcomes varies between published studies, and randomized controlled trials are warranted to examine the benefit of DTAS.
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Affiliation(s)
- Manuel Requena
- From the Stroke Unit (M.R., M.R.), Neurology Department, Vall D'Hebron University Hospital, Barcelona, Spain; and Department of Neurosurgery (Z.R.), Cleveland Clinic Florida, Weston
| | - Zeguang Ren
- From the Stroke Unit (M.R., M.R.), Neurology Department, Vall D'Hebron University Hospital, Barcelona, Spain; and Department of Neurosurgery (Z.R.), Cleveland Clinic Florida, Weston
| | - Marc Ribo
- From the Stroke Unit (M.R., M.R.), Neurology Department, Vall D'Hebron University Hospital, Barcelona, Spain; and Department of Neurosurgery (Z.R.), Cleveland Clinic Florida, Weston.
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19
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Nguyen TN, Abdalkader M, Nagel S, Qureshi MM, Ribo M, Caparros F, Haussen DC, Mohammad MH, Sheth SA, Ortega-Gutierrez S, Siegler JE, Zaidi S, Olive-Gadea M, Henon H, Möhlenbruch MA, Castonguay AC, Nannoni S, Kaesmacher J, Puri AS, Seker F, Farooqui M, Salazar-Marioni S, Kuhn AL, Kaliaev A, Farzin B, Boisseau W, Masoud HE, Lopez CY, Rana A, Kareem SA, Sathya A, Klein P, Kassem MW, Ringleb PA, Cordonnier C, Gralla J, Fischer U, Michel P, Jovin TG, Raymond J, Zaidat OO, Nogueira RG. Noncontrast Computed Tomography vs Computed Tomography Perfusion or Magnetic Resonance Imaging Selection in Late Presentation of Stroke With Large-Vessel Occlusion. JAMA Neurol 2021; 79:22-31. [PMID: 34747975 PMCID: PMC8576630 DOI: 10.1001/jamaneurol.2021.4082] [Citation(s) in RCA: 116] [Impact Index Per Article: 38.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Question In patients with proximal anterior circulation occlusion stroke presenting in the extended window, are rates of favorable outcomes at 90 days comparable in the patients selected for thrombectomy with noncontrast computed tomography vs patients selected with computed tomography perfusion or magnetic resonance imaging? Findings In a multicenter cohort of 1604 patients in the extended window with large-vessel occlusion, patients selected by noncontrast computed tomography had comparable clinical and safety outcomes with patients selected by computed tomography perfusion or magnetic resonance imaging. Meaning These findings suggest noncontrast computed tomography alone may be used as an alternative to advanced imaging in selecting patients with late-presenting large-vessel occlusion for mechanical thrombectomy. Importance Advanced imaging for patient selection in mechanical thrombectomy is not widely available. Objective To compare the clinical outcomes of patients selected for mechanical thrombectomy by noncontrast computed tomography (CT) vs those selected by computed tomography perfusion (CTP) or magnetic resonance imaging (MRI) in the extended time window. Design, Setting, and Participants This multinational cohort study included consecutive patients with proximal anterior circulation occlusion stroke presenting within 6 to 24 hours of time last seen well from January 2014 to December 2020. This study was conducted at 15 sites across 5 countries in Europe and North America. The duration of follow-up was 90 days from stroke onset. Exposures Computed tomography with Alberta Stroke Program Early CT Score, CTP, or MRI. Main Outcomes and Measures The primary end point was the distribution of modified Rankin Scale (mRS) scores at 90 days (ordinal shift). Secondary outcomes included the rates of 90-day functional independence (mRS scores of 0-2), symptomatic intracranial hemorrhage, and 90-day mortality. Results Of 2304 patients screened for eligibility, 1604 patients were included, with a median (IQR) age of 70 (59-80) years; 848 (52.9%) were women. A total of 534 patients were selected to undergo mechanical thrombectomy by CT, 752 by CTP, and 318 by MRI. After adjustment of confounders, there was no difference in 90-day ordinal mRS shift between patients selected by CT vs CTP (adjusted odds ratio [aOR], 0.95 [95% CI, 0.77-1.17]; P = .64) or CT vs MRI (aOR, 0.95 [95% CI, 0.8-1.13]; P = .55). The rates of 90-day functional independence (mRS scores 0-2 vs 3-6) were similar between patients selected by CT vs CTP (aOR, 0.90 [95% CI, 0.7-1.16]; P = .42) but lower in patients selected by MRI than CT (aOR, 0.79 [95% CI, 0.64-0.98]; P = .03). Successful reperfusion was more common in the CT and CTP groups compared with the MRI group (474 [88.9%] and 670 [89.5%] vs 250 [78.9%]; P < .001). No significant differences in symptomatic intracranial hemorrhage (CT, 42 [8.1%]; CTP, 43 [5.8%]; MRI, 15 [4.7%]; P = .11) or 90-day mortality (CT, 125 [23.4%]; CTP, 159 [21.1%]; MRI, 62 [19.5%]; P = .38) were observed. Conclusions and Relevance In patients undergoing proximal anterior circulation mechanical thrombectomy in the extended time window, there were no significant differences in the clinical outcomes of patients selected with noncontrast CT compared with those selected with CTP or MRI. These findings have the potential to widen the indication for treating patients in the extended window using a simpler and more widespread noncontrast CT–only paradigm.
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Affiliation(s)
- Thanh N Nguyen
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts.,Department of Radiology, Boston Medical Center, Boston University School of Medicine, Boston, Massachusetts
| | - Mohamad Abdalkader
- Department of Radiology, Boston Medical Center, Boston University School of Medicine, Boston, Massachusetts
| | - Simon Nagel
- Department of Neurology, Heidelberg University Hospital, Heidelberg, Germany
| | - Muhammad M Qureshi
- Department of Radiology, Boston Medical Center, Boston University School of Medicine, Boston, Massachusetts.,Department of Radiation Oncology, Boston Medical Center, Boston University School of Medicine, Boston, Massachusetts
| | - Marc Ribo
- Stroke Unit, Department of Neurology, Hospital Universitario Vall d'Hebron, Universitat Autonoma de Barcelona, Barcelona, Spain
| | - Francois Caparros
- University Lille, Inserm, Centre Hospitalier Universitaire de Lille, U1172, LilNCog-Lille Neuroscience & Cognition, Lille, France
| | - Diogo C Haussen
- Department of Neurology, Grady Memorial Hospital, Emory University School of Medicine, Atlanta, Georgia
| | - Mahmoud H Mohammad
- Department of Neurology, Grady Memorial Hospital, Emory University School of Medicine, Atlanta, Georgia
| | - Sunil A Sheth
- Department of Neurology, McGovern Medical School at UTHealth, Houston, Texas
| | | | - James E Siegler
- Department of Neurology, Cooper University Hospital, Camden, New Jersey
| | - Syed Zaidi
- Department of Neurology, University of Toledo, Toledo, Ohio
| | - Marta Olive-Gadea
- Stroke Unit, Department of Neurology, Hospital Universitario Vall d'Hebron, Universitat Autonoma de Barcelona, Barcelona, Spain
| | - Hilde Henon
- University Lille, Inserm, Centre Hospitalier Universitaire de Lille, U1172, LilNCog-Lille Neuroscience & Cognition, Lille, France
| | - Markus A Möhlenbruch
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany
| | | | - Stefania Nannoni
- Stroke Center, Neurology Service, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland
| | - Johannes Kaesmacher
- Institute of Diagnostic and Interventional Neuroradiology, University Hospital Bern, Inselspital, Bern, Switzerland.,Institute of Diagnostic, Interventional and Pediatric Radiology, University Hospital Bern, Inselspital, Bern, Switzerland
| | - Ajit S Puri
- Neurointerventional Radiology, Department of Radiology, University of Massachusetts, Worcester, Massachusetts
| | - Fatih Seker
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany
| | | | | | - Anna L Kuhn
- Neurointerventional Radiology, Department of Radiology, University of Massachusetts, Worcester, Massachusetts
| | - Artem Kaliaev
- Department of Radiology, Boston Medical Center, Boston University School of Medicine, Boston, Massachusetts
| | - Behzad Farzin
- Interventional Neuroradiology, Centre Hospitalier de l'Université de Montréal, Montréal, Quebec, Canada
| | - William Boisseau
- Interventional Neuroradiology, Centre Hospitalier de l'Université de Montréal, Montréal, Quebec, Canada
| | - Hesham E Masoud
- Department of Neurology, SUNY Upstate Medical University Hospital, Syracuse, New York
| | - Carlos Ynigo Lopez
- Department of Neurology, SUNY Upstate Medical University Hospital, Syracuse, New York
| | - Ameena Rana
- Department of Neurology, Cooper University Hospital, Camden, New Jersey
| | - Samer Abdul Kareem
- Neuroscience and Stroke Program, Bon Secours Mercy Health St Vincent Hospital, Toledo, Ohio
| | - Anvitha Sathya
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts
| | - Piers Klein
- Department of Radiology, Boston Medical Center, Boston University School of Medicine, Boston, Massachusetts
| | - Mohammad W Kassem
- Neuroscience and Stroke Program, Bon Secours Mercy Health St Vincent Hospital, Toledo, Ohio
| | - Peter A Ringleb
- Department of Neurology, Heidelberg University Hospital, Heidelberg, Germany
| | - Charlotte Cordonnier
- University Lille, Inserm, Centre Hospitalier Universitaire de Lille, U1172, LilNCog-Lille Neuroscience & Cognition, Lille, France
| | - Jan Gralla
- Institute of Diagnostic and Interventional Neuroradiology, University Hospital Bern, Inselspital, Bern, Switzerland
| | - Urs Fischer
- Department of Neurology, University Hospital Bern, University of Bern, Bern, Switzerland.,Department of Neurology, University Hospital Basel, University of Basel, Switzerland
| | - Patrik Michel
- Stroke Center, Neurology Service, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland
| | - Tudor G Jovin
- Department of Neurology, Cooper University Hospital, Camden, New Jersey
| | - Jean Raymond
- Interventional Neuroradiology, Centre Hospitalier de l'Université de Montréal, Montréal, Quebec, Canada
| | - Osama O Zaidat
- Neuroscience and Stroke Program, Bon Secours Mercy Health St Vincent Hospital, Toledo, Ohio
| | - Raul G Nogueira
- Department of Neurology, Grady Memorial Hospital, Emory University School of Medicine, Atlanta, Georgia
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20
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Bouslama M, Haussen DC, Rodrigues G, Barreira C, Frankel M, Nogueira RG. Novel selection paradigms for endovascular stroke treatment in the extended time window. J Neurol Neurosurg Psychiatry 2021; 92:1152-1157. [PMID: 34117100 DOI: 10.1136/jnnp-2020-325284] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 05/31/2021] [Indexed: 11/04/2022]
Abstract
BACKGROUND AND PURPOSE The optimal selection methodology for stroke thrombectomy beyond 6 hours remains to be established. METHODS Review of a prospectively collected database of thrombectomy patients with anterior circulation strokes, adequate CT perfusion (CTP) maps, National Institute of Health Stroke Scale (NIHSS)≥10 and presenting beyond 6 hours from January 2014 to October 2018. Patients were categorised according to five selection paradigms: DAWN clinical-core mismatch (DAWN-CCM): between age-adjusted NIHSS and CTP core, DEFUSE 3 perfusion imaging mismatch (DEFUSE-3-PIM): between CTP-derived perfusion defect (Tmax >6 s lesion) and ischaemic core volumes and three non-contrast CT Alberta Stroke Program Early CT Score (ASPECTS)-based criteria: age-adjusted clinical-ASPECTS mismatch (aCAM): between age-adjusted NIHSS and ASPECTS, eloquence-adjusted clinical ASPECTS mismatch (eCAM): ASPECTS 6-10 and non-involvement of the right M6 and left M4 areas and standard clinical ASPECTS mismatch (sCAM): ASPECTS 6-10. RESULTS 310 patients underwent analysis. DEFUSE-3-PIM had the highest proportion of qualifying patients followed by sCAM, eCAM, aCAM and DAWN-CCM (93.5%, 92.6%, 90.6%, 90% and 84.5%, respectively). Patients meeting aCAM, eCAM, sCAM and DAWN-CCM criteria had higher rates of 90-day good outcome compared with their non-qualifying counterparts(43.2% vs 12%,p=0.002; 42.4% vs 17.4%, p=0.02; 42.4% vs 11.2%, p=0.009; and 43.7% vs 20.5%, p=0.007, respectively). There was no difference between patients meeting DEFUSE-3-PIM criteria versus not(40.8% vs 31.3%,p=0.45). In multivariate analysis, all selection modalities except for DEFUSE-3-PIM were independently associated with 90-day good outcome. CONCLUSIONS ASPECTS-based selection paradigms for late presenting and wake-up strokes ET have comparable proportions of qualifying patients and similar 90-day functional outcomes as DAWN-CCM and DEFUSE-3-PIM. They also might lead to better outcome discrimination. These could represent a potential alternative for centres where access to advanced imaging is limited.
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Affiliation(s)
- Mehdi Bouslama
- Neurology, Emory University, Atlanta, Georgia, USA.,Marcus Stroke and Neuroscience Center, Grady Memorial Hospital, Atlanta, GA, USA
| | - Diogo C Haussen
- Neurology, Emory University, Atlanta, Georgia, USA.,Marcus Stroke and Neuroscience Center, Grady Memorial Hospital, Atlanta, GA, USA
| | - Gabriel Rodrigues
- Neurology, Emory University, Atlanta, Georgia, USA.,Marcus Stroke and Neuroscience Center, Grady Memorial Hospital, Atlanta, GA, USA
| | - Clara Barreira
- Neurology, Emory University, Atlanta, Georgia, USA.,Marcus Stroke and Neuroscience Center, Grady Memorial Hospital, Atlanta, GA, USA
| | - Michael Frankel
- Neurology, Emory University, Atlanta, Georgia, USA.,Marcus Stroke and Neuroscience Center, Grady Memorial Hospital, Atlanta, GA, USA
| | - Raul G Nogueira
- Neurology, Emory University, Atlanta, Georgia, USA .,Marcus Stroke and Neuroscience Center, Grady Memorial Hospital, Atlanta, GA, USA
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21
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Koh S, Lee SE, Jung WS, Choi JW, Lee JS, Hong JM, Lee SJ. Predictors of Early Neurological Deterioration in Stroke Due to Vertebrobasilar Occlusion. Front Neurol 2021; 12:696042. [PMID: 34594293 PMCID: PMC8476904 DOI: 10.3389/fneur.2021.696042] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Accepted: 08/12/2021] [Indexed: 01/12/2023] Open
Abstract
Background and Aims: This study explores the predictors of early neurological deterioration (END) in patients with vertebrobasilar occlusion (VBO) in both primary endovascular therapy (EVT) and medical management (MM) groups. Methods: Patients diagnosed with VBO from 2010 to 2018 were included. Comparative and multivariate analyses were used to identify predictors of all-cause END in the EVT group, and END due to ischemia progression (END-IP) in the MM group. Results: In 174 patients with VBO, 43 had END. In the primary EVT group (N = 66), 17 all-cause END occurred. Distal basilar occlusion (odds ratio (OR), 14.5 [95% confidence interval (CI), 1.4-154.4]) and reperfusion failure (eTICI < 2b67 (OR, 5.0 [95% CI, 1.3-19.9]) were predictive of END in multivariable analysis. In the MM group (N=108), 17 END-IP occurred. Higher systolic blood pressure (SBP) at presentation (per 10 mmHg increase, OR, 1.5 [95% CI, 1.1-2.0]), stroke onset-to-door time <24 h (OR, 5.3 [95% CI, 1.1-2.0]), near-total occlusions (OR, 4.9 [95% CI, 1.2-19.6]), lower posterior circulation-Alberta Stroke Program Early CT scores (OR, 1.6 [95% CI, 1.0-2.5]), and lower BATMAN collateral scores (OR, 1.6 [95% CI, 1.1-2.2]) were predictive of END-IP. Conclusions: In patients with stroke due to VBO, potential predictors of END can be identified. In the primary EVT group, failure to achieve reperfusion and distal basilar occlusion were associated with all-cause END. In the MM group, higher SBP at presentation, onset-to-door time less than 24 h, incomplete occlusions, larger infarct cores, and poorer collaterals were associated with END-IP.
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Affiliation(s)
- Seungyon Koh
- Department of Neurology, Ajou University School of Medicine, Ajou University Medical Center, Suwon, South Korea
| | - Sung Eun Lee
- Department of Neurology, Ajou University School of Medicine, Ajou University Medical Center, Suwon, South Korea.,Department of Emergency Medicine, Ajou University School of Medicine, Ajou University Medical Center, Suwon, South Korea
| | - Woo Sang Jung
- Department of Radiology, Ajou University School of Medicine, Ajou University Medical Center, Suwon, South Korea
| | - Jin Wook Choi
- Department of Radiology, Ajou University School of Medicine, Ajou University Medical Center, Suwon, South Korea
| | - Jin Soo Lee
- Department of Neurology, Ajou University School of Medicine, Ajou University Medical Center, Suwon, South Korea
| | - Ji Man Hong
- Department of Neurology, Ajou University School of Medicine, Ajou University Medical Center, Suwon, South Korea
| | - Seong-Joon Lee
- Department of Neurology, Ajou University School of Medicine, Ajou University Medical Center, Suwon, South Korea
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Ren Z, Ma G, Mokin M, Jadhav AP, Jia B, Tong X, Bauer C, Liu R, Wang A, Zhang X, Mo D, Ma N, Gao F, Song L, Sun X, Huo X, Deng Y, Liu L, Luo G, Luo X, Peng Y, Gui L, Song C, Wu J, Wang L, Li C, Jovin TG, Wang Y, Wang Y, Miao Z. Non-contrast head CT alone for thrombectomy in acute ischemic stroke: analysis of the ANGEL-ACT registry. J Neurointerv Surg 2021; 14:868-874. [PMID: 34599086 DOI: 10.1136/neurintsurg-2021-017940] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 08/25/2021] [Indexed: 11/04/2022]
Abstract
BACKGROUD The goal of this study was to determine if the choice of imaging paradigm performed in the emergency department influences the procedural or clinical outcomes after mechanical thrombectomy (MT). METHODS This is a retrospective comparative outcome study which was conducted from the ANGEL-ACT registry. Comparisons were made between baseline characteristics and clinical outcomes of patients with acute ischemic stroke undergoing MT with non-contrast head computed tomography (NCHCT) alone versus patients undergoing NCHCT plus non-invasive vessel imaging (NVI) (including CT angiography (with or without CT perfusion) and magnetic resonance angiography). The primary outcome was the modified Rankin Scale (mRS) score at 90 days. Secondary outcomes included change in mRS score from baseline to 90 days, the proportions of mRS 0-1, 0-2, and 0-3, and dramatic clinical improvement at 24 hours. The safety outcomes were any intracranial hemorrhage (ICH), symptomatic ICH, and mortality within 90 days. RESULTS A total of 894 patients met the inclusion criteria; 476 (53%) underwent NCHCT alone and 418 (47%) underwent NCHCT + NVI. In the NCHCT alone group, the door-to-reperfusion time was shorter by 47 min compared with the NCHCT + NVI group (219 vs 266 min, P<0.001). Patients in the NCHCT alone group showed a smaller increase in baseline mRS score at 90 days (median 3 vs 2 points; P=0.004) after adjustment. There were no significant differences between groups in the remaining clinical outcomes. CONCLUSIONS In patients selected for MT using NCHCT alone versus NCHCT + NVI, there were improved procedural outcomes and smaller increases in baseline mRS scores at 90 days.
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Affiliation(s)
- Zeguang Ren
- Department of Neurosurgery, University of South Florida, Tampa, Florida, USA
| | - Gaoting Ma
- Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Maxim Mokin
- Department of Neurosurgery, University of South Florida, Tampa, Florida, USA
| | | | - Baixue Jia
- Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xu Tong
- Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Clayton Bauer
- Department of Neurosurgery, University of South Florida, Tampa, Florida, USA
| | - Raynald Liu
- Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Anxin Wang
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xuelei Zhang
- Beijing Institute of Brain Disorders, Capital Medical University, Beijing, China
| | - Dapeng Mo
- Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Ning Ma
- Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Feng Gao
- Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Ligang Song
- Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xuan Sun
- Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xiaochuan Huo
- Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yiming Deng
- Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Lian Liu
- Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Gang Luo
- Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xiang Luo
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ya Peng
- Neurosurgery, The First People's Hospital of Changzhou,The Third Affiliated Hospital of Soochow University, Changzhou, China
| | - Liqiang Gui
- Interventional Neuroradiology, Langfang Changzheng Hospital, Langfang, Hebei, China
| | - Cunfeng Song
- Department of Interventional Neuroradiology, The Third People's Hospital of Liaocheng City, Liaocheng, China
| | - Jin Wu
- Neurology, Nanjing Medical University Second Affiliated Hospital, Nanjing, Jiangsu, China
| | - Leyuan Wang
- Interventional Neuroradiology Center, Changle People's Hospital, Weifang, China
| | - Chunlei Li
- Department of Neurology, The Second People's Hospital of Dongying City, Dongying, China
| | - Tudor G Jovin
- Cooper Neurologic Institute, Cooper University Hospital, Camden, New Jersey, USA
| | - Yilong Wang
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yongjun Wang
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Zhongrong Miao
- Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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Endovascular Thrombectomy Treatment: Beyond Early Time Windows and Small Core. Top Magn Reson Imaging 2021; 30:173-180. [PMID: 34397966 DOI: 10.1097/rmr.0000000000000291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
ABSTRACT Tremendous advancements in the treatment of acute ischemic stroke in the last 25 years have been based on the principle of reperfusion in early time windows and identification of small core infarct for intravenous thrombolysis and mechanical thrombectomy. Advances in neuroimaging have made possible the safe treatment of patients with acute ischemic stroke in longer time windows and with more specific selection of patients with salvageable brain tissue. In this review, we discuss the history of endovascular stroke thrombectomy trials and highlight the neuroimaging-based trials that validated mechanical thrombectomy techniques in the extended time window with assessment of penumbral tissue. We conclude with a survey of currently open trials that seek to safely expand eligibility for this highly efficacious treatment.
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Automated Processing of Head CT Perfusion Imaging for Ischemic Stroke Triage: A Practical Guide to Quality Assurance and Interpretation. AJR Am J Roentgenol 2021; 217:1401-1416. [PMID: 34259036 DOI: 10.2214/ajr.21.26139] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Recent successful trials of thrombectomy launched a shift to imaging-based patient selection for stroke intervention. Many centers have adopted CT perfusion imaging (CTP) as a routine part of stroke workflow, and the demand for emergent CTP interpretation is growing. Fully automated CTP postprocessing software that rapidly generates standardized color-coded CTP summary maps with minimal user input and with easy accessibility of the software output is increasingly being adopted. Such automated postprocessing greatly streamlines clinical workflow and CTP interpretation for radiologists and other frontline physicians. However, the straightforward interface overshadows the computational complexity of the underlying postprocessing workflow, which, if not carefully examined, predisposes the interpreting physician to diagnostic errors. Using case examples, this article aims to familiarize the general radiologist with interpreting automated CTP software data output in the context of contemporary stroke management, providing a discussion of CTP acquisition and postprocessing, a stepwise guide for CTP quality assurance and troubleshooting, and a framework for avoiding clinically significant CTP interpretative pitfalls in commonly encountered clinical scenarios. Interpreting radiologists should apply the outlined approach for quality assurance and develop a comprehensive search pattern for the identified pitfalls, to ensure accurate CTP interpretation and optimize patient selection for reperfusion.
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Bouslama M, Haussen DC, Rodrigues GM, Barreira CM, Dehkharghani S, Frankel MR, Nogueira RG. Age-adjusted infarct volume cut-off points improve stroke outcome prognostication beyond modeling with age and infarct volume. J Neurointerv Surg 2021; 14:122-125. [PMID: 33722959 DOI: 10.1136/neurintsurg-2020-017066] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Revised: 02/11/2021] [Accepted: 02/13/2021] [Indexed: 11/04/2022]
Abstract
BACKGROUND Age and infarct volume are among the most powerful predictors of outcome after large vessel occlusion acute strokes (LVOS). OBJECTIVE To study the impact of age-adjusted final infarct volume (FIV) on functional outcomes. METHODS Review of a prospectively collected thrombectomy database at a tertiary care center between September 2010 and February 2018. Consecutive patients with anterior circulation LVOS who achieved full reperfusion (modified Thrombolysis in Cerebral Infarction 3) were categorized into four age groups: (G1) <60 years, (G2) 60-69, (G3) 70-79, (G4) ≥80 years. The Youden Index was used to identify the optimal FIV cut-off point for good outcome (modified Rankin Scale score 0-2) discrimination in each group and the overall population. The predictive ability of these specific thresholds was evaluated using binary logistic regressions and compared with the non-age-adjusted cut-off point. RESULTS 516 patients were analyzed (G1: n=171, G2: n=130, G3: n=103, G4: n=112). Patients with poor outcome had a larger FIV in each group (p<0.01 for all). The target FIV cut-off point decreased with increased age: G1: 45.7 mL (sensitivity 56%, specificity 80%); G2: 30.4 mL (sensitivity 63%, specificity 75%); G3: 20.2 mL (sensitivity 76%, specificity 65%); G4: 16.9 mL (sensitivity 68%, specificity 70%). The non-age-adjusted cut-off point was 19.2 mL (sensitivity 70%, specificity 59%).In multivariate analysis, adjusting for confounders including age and FIV, achieving a FIV less than the age-adjusted threshold was an independent predictor of good outcome (aOR=2.72, 95% CI 1.41 to 5.24, p<0.001). In contrast, a similar model including the non-age-adjusted target cut-off point failed to reveal an association with good outcome (aOR=1.72, 95% CI 0.93 to 3.19, p<0.085). Furthermore, the latter model had a weaker outcome predictive ability as assessed by the Akaike information criterion (409 vs 403). CONCLUSIONS Age-adjusted infarct volume represents a strong outcome discriminator beyond age and infarct volume in isolation and might help to refine patient selection and improve outcome prognostication in stroke thrombectomy.
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Affiliation(s)
- Mehdi Bouslama
- Department of Neurology, Emory University, Atlanta, Georgia, USA
| | - Diogo C Haussen
- Department of Neurology, Neurosurgery and Radiology, Emory University, Atlanta, Georgia, USA
| | | | - Clara M Barreira
- Department of Neurology, Neurosurgery and Radiology, Emory University, Atlanta, Georgia, USA
| | | | | | - Raul G Nogueira
- Department of Neurology, Emory University, Atlanta, Georgia, USA
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26
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Bouslama M, Barreira CM, Haussen DC, Rodrigues GM, Pisani L, Frankel MR, Nogueira RG. Endovascular reperfusion outcomes in patients with a stroke and low ASPECTS is highly dependent on baseline infarct volumes. J Neurointerv Surg 2021; 14:117-121. [PMID: 33722970 DOI: 10.1136/neurintsurg-2020-017184] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Revised: 02/12/2021] [Accepted: 02/13/2021] [Indexed: 12/16/2022]
Abstract
BACKGROUND Patients with large vessel occlusion stroke (LVOS) and a low Alberta Stroke Program Early CT Score (ASPECTS) are often not offered endovascular therapy (ET) as they are thought to have a poor prognosis. OBJECTIVE To compare the outcomes of patients with low and high ASPECTS undergoing ET based on baseline infarct volumes. METHODS Review of a prospectively collected endovascular database at a tertiary care center between September 2010 and March 2020. All patients with anterior circulation LVOS and interpretable baseline CT perfusion (CTP) were included. Subjects were divided into groups with low ASPECTS (0-5) and high ASPECTS (6-10) and subsequently into limited and large CTP-core volumes (cerebral blood flow 30% >70 cc). The primary outcome measure was the difference in rates of 90-day good outcome as defined by a modified Rankin Scale (mRS) score of 0 to 2 across groups. RESULTS 1248 patients fit the inclusion criteria. 125 patients had low ASPECTS, of whom 16 (12.8%) had a large core (LC), whereas 1123 patients presented with high ASPECTS, including 29 (2.6%) patients with a LC. In the category with a low ASPECTS, there was a trend towards lower rates of functional independence (90-day modified Rankin Scale (mRS) score 0-2) in the LC group (18.8% vs 38.9%, p=0.12), which became significant after adjusting for potential confounders in multivariable analysis (aOR=0.12, 95% CI 0.016 to 0.912, p=0.04). Likewise, LC was associated with significantly lower rates of functional independence (31% vs 51.9%, p=0.03; aOR=0.293, 95% CI 0.095 to 0.909, p=0.04) among patients with high ASPECTS. CONCLUSIONS Outcomes may vary significantly in the same ASPECTS category depending on infarct volume. Patients with ASPECTS ≤5 but baseline infarct volumes ≤70 cc may achieve independence in nearly 40% of the cases and thus should not be excluded from treatment.
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Affiliation(s)
- Mehdi Bouslama
- Department of Neurology, Emory University, Atlanta, Georgia, USA
| | - Clara M Barreira
- Department of Neurology, Neurosurgery and Radiology, Emory University, Atlanta, Georgia, USA
| | - Diogo C Haussen
- Department of Neurology, Neurosurgery and Radiology, Emory University, Atlanta, Georgia, USA
| | | | - Leonardo Pisani
- Department of Radiology, Georgetown University Medical Center, Washington, District of Columbia, USA
| | | | - Raul G Nogueira
- Department of Neurology and Interventional Neuroradiology, Emory University, Atlanta, Georgia, USA
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Suzuki S, Wadi L, Moores L, Yuki I, Kim J, Xu J, Paganini-Hill A, Fisher M. Stroke Preventability in Large Vessel Occlusion Treated With Mechanical Thrombectomy. Front Neurol 2021; 12:608084. [PMID: 33763011 PMCID: PMC7982657 DOI: 10.3389/fneur.2021.608084] [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: 09/18/2020] [Accepted: 01/28/2021] [Indexed: 12/01/2022] Open
Abstract
Objective: The preventability of strokes treated by mechanical thrombectomy is unknown. The purpose of this study was to analyze stroke preventability for patients treated with mechanical thrombectomy for large vessel occlusion. Methods: We conducted retrospective analyses of 300 patients (mean ± SE age 69 ± 0.9 years, range 18–97 years; 53% male) treated with mechanical thrombectomy for large vessel occlusion from January 2008 to March 2019. We collected data including demographics, NIH Stroke Scale (NIHSS) at onset, and (beginning in 2015) classified 90-day outcome by modified Rankin Scale (mRS). Patients were evaluated using a Stroke Preventability Score (SPS, 0 to 10 points) based on how well patients had been treated given their hypertension, hyperlipidemia, atrial fibrillation, and prior stroke history. We examined the relationship of SPS with NIHSS at stroke onset and with mRS outcome at 90 days. Results: SPS was calculated for 272 of the 300 patients, with mean ± SE of 2.1 ± 0.1 (range 0–8); 89 (33%) had no preventability (score 0), 120 (44%) had low preventability (score 1–3), and 63 (23%) had high preventability (score 4 or higher). SPS was significantly correlated with age (r = 0.32, p < 0.0001), while NIHSS (n = 267) was significantly higher (p = 0.03) for patients with high stroke preventability vs. low/no preventability [18.8 ± 0.92 (n = 62) vs. 16.5 ± 0.51 (n = 205)]. Among 118 patients with mRS, outcome was significantly worse (p = 0.04) in patients with high stroke preventability vs. low/no preventability [4.7 ± 0.29 (n = 28) vs. 3.8 ± 0.21 (n = 90)]. The vast majority of patients with high stroke preventability had inadequately treated atrial fibrillation (85%, 53/62). Conclusions: Nearly one quarter of stroke patients undergoing mechanical thrombectomy had highly preventable strokes. While stroke preventability showed some relationship to stroke severity at onset and outcome after treatment, preventability had the strongest association with age. These findings emphasize the need for improved stroke prevention in the elderly.
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Affiliation(s)
- Shuichi Suzuki
- Department of Neurological Surgery, University of California, Irvine, Irvine, CA, United States
| | - Lara Wadi
- Department of Neurology, University of California, Irvine, Irvine, CA, United States
| | - Lisa Moores
- UC Irvine Medical Center, Orange, CA, United States
| | - Ichiro Yuki
- Department of Neurological Surgery, University of California, Irvine, Irvine, CA, United States
| | - Jeein Kim
- Department of Neurological Surgery, University of California, Irvine, Irvine, CA, United States
| | - Jordan Xu
- Department of Neurological Surgery, University of California, Irvine, Irvine, CA, United States
| | - Annlia Paganini-Hill
- Department of Neurology, University of California, Irvine, Irvine, CA, United States
| | - Mark Fisher
- Department of Neurology, University of California, Irvine, Irvine, CA, United States
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García-Tornel Á, Campos D, Rubiera M, Boned S, Olivé-Gadea M, Requena M, Ciolli L, Muchada M, Pagola J, Rodriguez-Luna D, Deck M, Juega J, Rodríguez-Villatoro N, Sanjuan E, Tomasello A, Piñana C, Hernández D, Álvarez-Sabin J, Molina CA, Ribó M. Ischemic Core Overestimation on Computed Tomography Perfusion. Stroke 2021; 52:1751-1760. [PMID: 33682453 DOI: 10.1161/strokeaha.120.031800] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
[Figure: see text].
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Affiliation(s)
- Álvaro García-Tornel
- Stroke Unit, Department of Neurology (A.G.-T., D.C., M. Rubiera, S.B., M.O.-G., M. Requena, M.M., J.P., D.R.-L., M.D., J.J., N.R.-V., E.S., J.A.-S., C.A.M., M.Ribó), Hospital Vall d'Hebron, Departament de Medicina, Universitat Autònoma de Barcelona, Spain
| | - Daniel Campos
- Stroke Unit, Department of Neurology (A.G.-T., D.C., M. Rubiera, S.B., M.O.-G., M. Requena, M.M., J.P., D.R.-L., M.D., J.J., N.R.-V., E.S., J.A.-S., C.A.M., M.Ribó), Hospital Vall d'Hebron, Departament de Medicina, Universitat Autònoma de Barcelona, Spain
| | - Marta Rubiera
- Stroke Unit, Department of Neurology (A.G.-T., D.C., M. Rubiera, S.B., M.O.-G., M. Requena, M.M., J.P., D.R.-L., M.D., J.J., N.R.-V., E.S., J.A.-S., C.A.M., M.Ribó), Hospital Vall d'Hebron, Departament de Medicina, Universitat Autònoma de Barcelona, Spain
| | - Sandra Boned
- Stroke Unit, Department of Neurology (A.G.-T., D.C., M. Rubiera, S.B., M.O.-G., M. Requena, M.M., J.P., D.R.-L., M.D., J.J., N.R.-V., E.S., J.A.-S., C.A.M., M.Ribó), Hospital Vall d'Hebron, Departament de Medicina, Universitat Autònoma de Barcelona, Spain
| | - Marta Olivé-Gadea
- Stroke Unit, Department of Neurology (A.G.-T., D.C., M. Rubiera, S.B., M.O.-G., M. Requena, M.M., J.P., D.R.-L., M.D., J.J., N.R.-V., E.S., J.A.-S., C.A.M., M.Ribó), Hospital Vall d'Hebron, Departament de Medicina, Universitat Autònoma de Barcelona, Spain
| | - Manuel Requena
- Stroke Unit, Department of Neurology (A.G.-T., D.C., M. Rubiera, S.B., M.O.-G., M. Requena, M.M., J.P., D.R.-L., M.D., J.J., N.R.-V., E.S., J.A.-S., C.A.M., M.Ribó), Hospital Vall d'Hebron, Departament de Medicina, Universitat Autònoma de Barcelona, Spain
| | - Ludovico Ciolli
- Stroke Unit, Neurology Unit, Department of Neuroscience, Ospedale Civile, Azienda Ospedaliera Universitaria di Modena, Italy (L.C.)
| | - Marian Muchada
- Stroke Unit, Department of Neurology (A.G.-T., D.C., M. Rubiera, S.B., M.O.-G., M. Requena, M.M., J.P., D.R.-L., M.D., J.J., N.R.-V., E.S., J.A.-S., C.A.M., M.Ribó), Hospital Vall d'Hebron, Departament de Medicina, Universitat Autònoma de Barcelona, Spain
| | - Jorge Pagola
- Stroke Unit, Department of Neurology (A.G.-T., D.C., M. Rubiera, S.B., M.O.-G., M. Requena, M.M., J.P., D.R.-L., M.D., J.J., N.R.-V., E.S., J.A.-S., C.A.M., M.Ribó), Hospital Vall d'Hebron, Departament de Medicina, Universitat Autònoma de Barcelona, Spain
| | - David Rodriguez-Luna
- Stroke Unit, Department of Neurology (A.G.-T., D.C., M. Rubiera, S.B., M.O.-G., M. Requena, M.M., J.P., D.R.-L., M.D., J.J., N.R.-V., E.S., J.A.-S., C.A.M., M.Ribó), Hospital Vall d'Hebron, Departament de Medicina, Universitat Autònoma de Barcelona, Spain
| | - Matias Deck
- Stroke Unit, Department of Neurology (A.G.-T., D.C., M. Rubiera, S.B., M.O.-G., M. Requena, M.M., J.P., D.R.-L., M.D., J.J., N.R.-V., E.S., J.A.-S., C.A.M., M.Ribó), Hospital Vall d'Hebron, Departament de Medicina, Universitat Autònoma de Barcelona, Spain
| | - Jesus Juega
- Stroke Unit, Department of Neurology (A.G.-T., D.C., M. Rubiera, S.B., M.O.-G., M. Requena, M.M., J.P., D.R.-L., M.D., J.J., N.R.-V., E.S., J.A.-S., C.A.M., M.Ribó), Hospital Vall d'Hebron, Departament de Medicina, Universitat Autònoma de Barcelona, Spain
| | - Noelia Rodríguez-Villatoro
- Stroke Unit, Department of Neurology (A.G.-T., D.C., M. Rubiera, S.B., M.O.-G., M. Requena, M.M., J.P., D.R.-L., M.D., J.J., N.R.-V., E.S., J.A.-S., C.A.M., M.Ribó), Hospital Vall d'Hebron, Departament de Medicina, Universitat Autònoma de Barcelona, Spain
| | - Estela Sanjuan
- Stroke Unit, Department of Neurology (A.G.-T., D.C., M. Rubiera, S.B., M.O.-G., M. Requena, M.M., J.P., D.R.-L., M.D., J.J., N.R.-V., E.S., J.A.-S., C.A.M., M.Ribó), Hospital Vall d'Hebron, Departament de Medicina, Universitat Autònoma de Barcelona, Spain
| | - Alejandro Tomasello
- Department of Interventional Neurorradiology (A.T., C.P., D.H.), Hospital Vall d'Hebron, Departament de Medicina, Universitat Autònoma de Barcelona, Spain
| | - Carlos Piñana
- Department of Interventional Neurorradiology (A.T., C.P., D.H.), Hospital Vall d'Hebron, Departament de Medicina, Universitat Autònoma de Barcelona, Spain
| | - David Hernández
- Department of Interventional Neurorradiology (A.T., C.P., D.H.), Hospital Vall d'Hebron, Departament de Medicina, Universitat Autònoma de Barcelona, Spain
| | - José Álvarez-Sabin
- Stroke Unit, Department of Neurology (A.G.-T., D.C., M. Rubiera, S.B., M.O.-G., M. Requena, M.M., J.P., D.R.-L., M.D., J.J., N.R.-V., E.S., J.A.-S., C.A.M., M.Ribó), Hospital Vall d'Hebron, Departament de Medicina, Universitat Autònoma de Barcelona, Spain
| | - Carlos A Molina
- Stroke Unit, Department of Neurology (A.G.-T., D.C., M. Rubiera, S.B., M.O.-G., M. Requena, M.M., J.P., D.R.-L., M.D., J.J., N.R.-V., E.S., J.A.-S., C.A.M., M.Ribó), Hospital Vall d'Hebron, Departament de Medicina, Universitat Autònoma de Barcelona, Spain
| | - Marc Ribó
- Stroke Unit, Department of Neurology (A.G.-T., D.C., M. Rubiera, S.B., M.O.-G., M. Requena, M.M., J.P., D.R.-L., M.D., J.J., N.R.-V., E.S., J.A.-S., C.A.M., M.Ribó), Hospital Vall d'Hebron, Departament de Medicina, Universitat Autònoma de Barcelona, Spain
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Krinock MJ, Singhal NS. Diabetes, stroke, and neuroresilience: looking beyond hyperglycemia. Ann N Y Acad Sci 2021; 1495:78-98. [PMID: 33638222 DOI: 10.1111/nyas.14583] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Revised: 02/02/2021] [Accepted: 02/05/2021] [Indexed: 12/14/2022]
Abstract
Ischemic stroke is a leading cause of morbidity and mortality among type 2 diabetic patients. Preclinical and translational studies have identified critical pathophysiological mediators of stroke risk, recurrence, and poor outcome in diabetic patients, including endothelial dysfunction and inflammation. Most clinical trials of diabetes and stroke have focused on treating hyperglycemia alone. Pioglitazone has shown promise in secondary stroke prevention for insulin-resistant patients; however, its use is not yet widespread. Additional research into clinical therapies directed at diabetic pathophysiological processes to prevent stroke and improve outcome for diabetic stroke survivors is necessary. Resilience is the process of active adaptation to a stressor. In patients with diabetes, stroke recovery is impaired by insulin resistance, endothelial dysfunction, and inflammation, which impair key neuroresilience pathways maintaining cerebrovascular integrity, resolving poststroke inflammation, stimulating neural plasticity, and preventing neurodegeneration. Our review summarizes the underpinnings of stroke risk in diabetes, the clinical consequences of stroke in diabetic patients, and proposes hypotheses and new avenues of research for therapeutics to stimulate neuroresilience pathways and improve stroke outcome in diabetic patients.
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Affiliation(s)
- Matthew J Krinock
- Department of Neurology, University of California - San Francisco, San Francisco, California
| | - Neel S Singhal
- Department of Neurology, University of California - San Francisco, San Francisco, California
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Interventional Neuroradiology Trainee-led Research Collaborative JENI, moving forward. J Neuroradiol 2021; 48:137-138. [PMID: 33515598 DOI: 10.1016/j.neurad.2021.01.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Accepted: 01/19/2021] [Indexed: 11/20/2022]
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Lee SJ, Park SY, Hong JM, Choi JW, Kang DH, Kim YW, Kim YS, Hong JH, Kim CH, Yoo J, Nogueira RG, Hwang YH, Sohn SI, Lee JS. Etiological Approach to Understanding Recanalization Failure in Intracranial Large Vessel Occlusion and Thrombectomy: Close to Embolism but Distant From Atherosclerosis. Front Neurol 2021; 11:598216. [PMID: 33536994 PMCID: PMC7848124 DOI: 10.3389/fneur.2020.598216] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Accepted: 12/10/2020] [Indexed: 12/28/2022] Open
Abstract
Introduction: In patients with intracranial large vessel occlusion (LVO) who undergo endovascular treatment (EVT), recanalization failure may be related to intracranial atherosclerotic stenosis (ICAS). We evaluated whether the risk factors of recanalization failure could possibly be a marker of ICAS among various types of LVO. Methods: From a multicenter registry, patients with middle cerebral artery M1 segment occlusions who underwent thrombectomy within 24 h were included. Based on the on-procedure and post-procedure angiographic findings, patients were classified into embolic, ICAS-related, tandem occlusion, and recanalization failure groups. Recanalization failure was defined if the occluded vessel could not be recanalized by stent retrieval, contact aspiration, or local lytics treatment. Risk factors, imaging markers, and EVT methods were compared between groups. Results: Among 326 patients, 214 were classified as embolism, 76 as ICAS, 16 as tandem, and 20 as recanalization failure. The group with recanalization failure showed higher scores on the National Institutes of Health Stroke Scale (NIHSS) (median, 16.0 vs. 14.5 vs. 14.0 vs. 17.0, p = 0.097), frequent atrial fibrillation (59.3 vs. 18.4 vs. 0 vs. 40.0% p < 0.001), and elevation in erythrocyte sedimentation rate (ESR) (14.5 ± 15.7 vs. 15.0 ± 14.1 vs. 21.2 ± 19.5 vs. 36.0 ± 32.9, p < 0.001) among the groups. The rate of computed tomography angiography-based truncal-type occlusion in recanalization failure group was not as high as that in the ICAS group (8.1 vs. 37.5 vs. 0 vs. 16.7%, p < 0.001). Balloon guide catheters (BGC) were less frequently utilized in the recanalization failure group as compared to their use in the other groups (72.0 vs. 72.4 vs. 62.5 vs. 30.0%, p = 0.001). In the multivariable analysis, initial higher NIHSS [odds ratio (OR), 1.11 95% confidence interval (CI), 1.01–1.22 p = 0.027], higher ESR (OR, 1.03 CI, 1.01–1.05 p = 0.006), and non-use of BGCs (OR, 3.41 CI, 1.14–10.17 p = 0.028) were associated with recanalization failure. In M1 occlusions, the predominant mechanism of recanalization failure was presumed to be embolic in 80% and due to ICAS in 20%. Conclusion: The analysis of recanalization failures does not suggest an underlying predominant ICAS mechanism. Sufficient utilization of thrombectomy devices and procedures may improve the rates of recanalization.
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Affiliation(s)
- Seong-Joon Lee
- Department of Neurology, Ajou University School of Medicine, Ajou University Medical Center, Suwon, South Korea
| | - So Young Park
- Department of Neurology, Ajou University School of Medicine, Ajou University Medical Center, Suwon, South Korea
| | - Ji Man Hong
- Department of Neurology, Ajou University School of Medicine, Ajou University Medical Center, Suwon, South Korea
| | - Jin Wook Choi
- Department of Radiology, Ajou University School of Medicine, Ajou University Medical Center, Suwon, South Korea
| | - Dong-Hun Kang
- Department of Neurosurgery, School of Medicine, Kyungpook National University, Daegu, South Korea.,Department of Radiology, School of Medicine, Kyungpook National University, Daegu, South Korea
| | - Yong-Won Kim
- Department of Radiology, School of Medicine, Kyungpook National University, Daegu, South Korea.,Department of Neurology, School of Medicine, Kyungpook National University, Daegu, South Korea
| | - Yong-Sun Kim
- Department of Radiology, School of Medicine, Kyungpook National University, Daegu, South Korea
| | - Jeong-Ho Hong
- Department of Neurology, Keimyung University Dongsan Medical Center, Daegu, South Korea
| | - Chang-Hyun Kim
- Department of Neurosurgery, Keimyung University Dongsan Medical Center, Daegu, South Korea
| | - Joonsang Yoo
- Department of Neurology, Keimyung University Dongsan Medical Center, Daegu, South Korea.,Department of Neurology, National Health Insurance Service Ilsan Hospital, Goyang, South Korea
| | - Raul G Nogueira
- Department of Neurology, Marcus Stroke & Neuroscience Center, Grady Memorial Hospital, Emory University School of Medicine, Atlanta, GA, United States
| | - Yang-Ha Hwang
- Department of Neurology, School of Medicine, Kyungpook National University, Daegu, South Korea
| | - Sung-Il Sohn
- Department of Neurology, Keimyung University Dongsan Medical Center, Daegu, South Korea
| | - Jin Soo Lee
- Department of Neurology, Ajou University School of Medicine, Ajou University Medical Center, Suwon, South Korea
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Bouslama M, Ravindran K, Harston G, Rodrigues GM, Pisani L, Haussen DC, Frankel MR, Nogueira RG. Noncontrast Computed Tomography e-Stroke Infarct Volume Is Similar to RAPID Computed Tomography Perfusion in Estimating Postreperfusion Infarct Volumes. Stroke 2021; 52:634-641. [PMID: 33430633 DOI: 10.1161/strokeaha.120.031651] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE The e-Stroke Suite software (Brainomix, Oxford, United Kingdom) is a tool designed for the automated quantification of The Alberta Stroke Program Early CT Score and ischemic core volumes on noncontrast computed tomography (NCCT). We sought to compare the prediction of postreperfusion infarct volumes and the clinical outcomes across NCCT e-Stroke software versus RAPID (IschemaView, Menlo Park, CA) computed tomography perfusion measurements. METHODS All consecutive patients with anterior circulation large vessel occlusion stroke presenting at a tertiary care center between September 2010 and November 2018 who had available baseline infarct volumes on both NCCT e-Stroke Suite software and RAPID CTP as well as final infarct volume (FIV) measurements and achieved complete reperfusion (modified Thrombolysis in Cerebral Infarction scale 2c-3) post-thrombectomy were included. The associations between estimated baseline ischemic core volumes and FIV as well as 90-day functional outcomes were assessed. RESULTS Four hundred seventy-nine patients met inclusion criteria. Median age was 64 years (55-75), median e-Stroke and computed tomography perfusion ischemic core volumes were 38.4 (21.8-58) and 5 (0-17.7) mL, respectively, whereas median FIV was 22.2 (9.1-56.2) mL. The correlation between e-Stroke and CTP ischemic core volumes was moderate (R=0.44; P<0.001). Similarly, moderate correlations were observed between e-Stroke software ischemic core and FIV (R=0.52; P<0.001) and CTP core and FIV (R=0.43; P<0.001). Subgroup analysis showed that e-Stroke software and CTP performance was similar in the early and late (>6 hours) treatment windows. Multivariate analysis showed that both e-Stroke software NCCT baseline ischemic core volume (adjusted odds ratio, 0.98 [95% CI, 0.97-0.99]) and RAPID CTP ischemic core volume (adjusted odds ratio, 0.98 [95% CI, 0.97-0.99]) were independently and comparably associated with good outcome (modified Rankin Scale score of 0-2) at 90 days. CONCLUSIONS NCCT e-Stroke Suite software performed similarly to RAPID CTP in assessing postreperfusion FIV and functional outcomes for both early- and late-presenting patients. NCCT e-Stroke volumes seems to represent a viable alternative in centers where access to advanced imaging is limited. Moreover, the future development of fusion maps of NCCT and CTP ischemic core estimates may improve upon the current performance of these tools as applied in isolation.
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Affiliation(s)
- Mehdi Bouslama
- Department of Neurology, Marcus Stroke and Neuroscience Center, Grady Memorial Hospital, Emory University School of Medicine, Atlanta, GA (M.B., K.R., G.M.R., L.P., D.C.H., M.R.F., R.G.N.)
| | - Krishnan Ravindran
- Department of Neurology, Marcus Stroke and Neuroscience Center, Grady Memorial Hospital, Emory University School of Medicine, Atlanta, GA (M.B., K.R., G.M.R., L.P., D.C.H., M.R.F., R.G.N.)
| | - George Harston
- Acute Vascular Imaging Centre, Radcliffe Department of Medicine, University of Oxford, United Kingdom (G.H.)
| | - Gabriel M Rodrigues
- Department of Neurology, Marcus Stroke and Neuroscience Center, Grady Memorial Hospital, Emory University School of Medicine, Atlanta, GA (M.B., K.R., G.M.R., L.P., D.C.H., M.R.F., R.G.N.)
| | - Leonardo Pisani
- Department of Neurology, Marcus Stroke and Neuroscience Center, Grady Memorial Hospital, Emory University School of Medicine, Atlanta, GA (M.B., K.R., G.M.R., L.P., D.C.H., M.R.F., R.G.N.)
| | - Diogo C Haussen
- Department of Neurology, Marcus Stroke and Neuroscience Center, Grady Memorial Hospital, Emory University School of Medicine, Atlanta, GA (M.B., K.R., G.M.R., L.P., D.C.H., M.R.F., R.G.N.)
| | - Michael R Frankel
- Department of Neurology, Marcus Stroke and Neuroscience Center, Grady Memorial Hospital, Emory University School of Medicine, Atlanta, GA (M.B., K.R., G.M.R., L.P., D.C.H., M.R.F., R.G.N.)
| | - Raul G Nogueira
- Department of Neurology, Marcus Stroke and Neuroscience Center, Grady Memorial Hospital, Emory University School of Medicine, Atlanta, GA (M.B., K.R., G.M.R., L.P., D.C.H., M.R.F., R.G.N.)
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Lee SJ, Hwang YH, Hong JM, Choi JW, Kang DH, Kim YW, Kim YS, Hong JH, Yoo J, Kim CH, Ovbiagele B, Demchuk A, Sohn SI, Lee JS. Predictors and prognoses of Willisian collateral failure during mechanical thrombectomy. Sci Rep 2020; 10:20874. [PMID: 33257735 PMCID: PMC7704636 DOI: 10.1038/s41598-020-77946-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Accepted: 11/17/2020] [Indexed: 11/09/2022] Open
Abstract
During mechanical thrombectomy in the anterior cerebral circulation, thrombus embolization resulting in Willisian collateral failure may lead to critical stroke outcomes due to a shutdown of leptomeningeal collaterals. We hypothesized that the outcomes of dynamic Willisian collateral failure (DWF), induced during mechanical thrombectomy, would be associated with grave outcomes. We evaluated this hypothesis in consecutive patients, between January 2011 and May 2016, who underwent mechanical thrombectomy for anterior circulation occlusions, with an onset-to-puncture of 24 h. Patients with initial Willisian collateral failure (IWF) were identified first, with remaining patients classified into the DWF and Willisian collateral sparing (WCS) groups. Comparative and multivariable analyses were performed to predict grave outcomes (3-month modified Rankin Scale score of 5–6). Among 567 patients, 37 were in the IWF group, 38 in the DWF group, and 492 in the WCS group. Compared to the WCS and DWF groups, the IWF group had a higher baseline National Institute of Health Stroke Scale score and lower Alberta Stroke Program Early CT Score. The prevalence of grave outcomes was similarly high in the IWF (48.6%) and DWF (47.4%) groups, but lower in the WCS group (22.0%; p < 0.001). IWF and DWF were independent risk factors for a grave outcome.
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Affiliation(s)
- Seong-Joon Lee
- Department of Neurology, Ajou University School of Medicine, Ajou University Medical Center, 164, World cup-ro, Yeongtong-gu, Suwon, Gyeonggi-do, 16499, South Korea
| | - Yang-Ha Hwang
- Department of Neurology, School of Medicine, Kyungpook National University, Daegu, South Korea
| | - Ji Man Hong
- Department of Neurology, Ajou University School of Medicine, Ajou University Medical Center, 164, World cup-ro, Yeongtong-gu, Suwon, Gyeonggi-do, 16499, South Korea
| | - Jin Wook Choi
- Department of Radiology, Ajou University School of Medicine, Ajou University Medical Center, Suwon, South Korea
| | - Dong-Hun Kang
- Department of Neurosurgery, School of Medicine, Kyungpook National University, Daegu, South Korea.,Department of Radiology, School of Medicine, Kyungpook National University, Daegu, South Korea
| | - Yong-Won Kim
- Department of Neurology, School of Medicine, Kyungpook National University, Daegu, South Korea.,Department of Radiology, School of Medicine, Kyungpook National University, Daegu, South Korea
| | - Yong-Sun Kim
- Department of Radiology, School of Medicine, Kyungpook National University, Daegu, South Korea
| | - Jeong-Ho Hong
- Department of Neurology, Dongsan Medical Center, Brain Research Institute, Keimyung University School of Medicine, 56 Dalseong-ro Joong-gu, Daegu, 41931, Republic of Korea
| | - Joonsang Yoo
- Department of Neurology, Dongsan Medical Center, Brain Research Institute, Keimyung University School of Medicine, 56 Dalseong-ro Joong-gu, Daegu, 41931, Republic of Korea.,Department of Neurology, National Health Insurance Service Ilsan Hospital, Goyang, Korea
| | - Chang-Hyun Kim
- Department of Neurosurgery, Keimyung University Dongsan Medical Center, Daegu, Republic of Korea
| | - Bruce Ovbiagele
- Department of Neurology, University of California, San Franscisco, USA
| | - Andrew Demchuk
- Department of Clinical Neurosciences and Radiology, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Sung-Il Sohn
- Department of Neurology, Dongsan Medical Center, Brain Research Institute, Keimyung University School of Medicine, 56 Dalseong-ro Joong-gu, Daegu, 41931, Republic of Korea.
| | - Jin Soo Lee
- Department of Neurology, Ajou University School of Medicine, Ajou University Medical Center, 164, World cup-ro, Yeongtong-gu, Suwon, Gyeonggi-do, 16499, South Korea.
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Nogueira RG, Tsivgoulis G. Large Vessel Occlusion Strokes After the DIRECT-MT and SKIP Trials. Stroke 2020; 51:3182-3186. [DOI: 10.1161/strokeaha.120.030796] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Raul G. Nogueira
- Department of Neurology, Emory University School of Medicine, Marcus Stroke and Neuroscience Center, Grady Memorial Hospital, Atlanta, GA (R.G.N.)
| | - Georgios Tsivgoulis
- Second Department of Neurology, National and Kapodistrian University of Athens, Greece (G.T.)
- Department of Neurology, University of Tennessee HealthCare Center, Memphis (G.T.)
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35
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Simpkins AN, Busl KM, Amorim E, Barnett-Tapia C, Cervenka MC, Dhakar MB, Etherton MR, Fung C, Griggs R, Holloway RG, Kelly AG, Khan IR, Lizarraga KJ, Madagan HG, Onweni CL, Mestre H, Rabinstein AA, Rubinos C, Dionisio-Santos DA, Youn TS, Merck LH, Maciel CB. Proceedings from the Neurotherapeutics Symposium on Neurological Emergencies: Shaping the Future of Neurocritical Care. Neurocrit Care 2020; 33:636-645. [PMID: 32959201 PMCID: PMC7736003 DOI: 10.1007/s12028-020-01085-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2020] [Accepted: 08/19/2020] [Indexed: 12/11/2022]
Abstract
Effective treatment options for patients with life-threatening neurological disorders are limited. To address this unmet need, high-impact translational research is essential for the advancement and development of novel therapeutic approaches in neurocritical care. "The Neurotherapeutics Symposium 2019-Neurological Emergencies" conference, held in Rochester, New York, in June 2019, was designed to accelerate translation of neurocritical care research via transdisciplinary team science and diversity enhancement. Diversity excellence in the neuroscience workforce brings innovative and creative perspectives, and team science broadens the scientific approach by incorporating views from multiple stakeholders. Both are essential components needed to address complex scientific questions. Under represented minorities and women were involved in the organization of the conference and accounted for 30-40% of speakers, moderators, and attendees. Participants represented a diverse group of stakeholders committed to translational research. Topics discussed at the conference included acute ischemic and hemorrhagic strokes, neurogenic respiratory dysregulation, seizures and status epilepticus, brain telemetry, neuroprognostication, disorders of consciousness, and multimodal monitoring. In these proceedings, we summarize the topics covered at the conference and suggest the groundwork for future high-yield research in neurologic emergencies.
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Affiliation(s)
- Alexis N Simpkins
- Department of Neurology, McKnight Brain Institute, University of Florida College of Medicine, Room L3-100, 1149 Newell Drive, Gainesville, FL, 32611, USA.
| | - Katharina M Busl
- Department of Neurology, McKnight Brain Institute, University of Florida College of Medicine, Room L3-100, 1149 Newell Drive, Gainesville, FL, 32611, USA
- Department of Neurosurgery, University of Florida College of Medicine, Gainesville, FL, USA
| | - Edilberto Amorim
- Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Carolina Barnett-Tapia
- Ellen and Martin Prosserman Centre for Neuromuscular Disorders, Toronto General Hospital, Toronto, ON, Canada
| | - Mackenzie C Cervenka
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Monica B Dhakar
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
- Department of Neurology, Yale University School of Medicine, New Haven, CT, USA
| | - Mark R Etherton
- J. Phillip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - Celia Fung
- Department of Neurology, University of Rochester Medical Center, Rochester, NY, USA
| | - Robert Griggs
- Department of Neurology, University of Rochester Medical Center, Rochester, NY, USA
| | - Robert G Holloway
- Department of Neurology, University of Rochester Medical Center, Rochester, NY, USA
| | - Adam G Kelly
- Department of Neurology, University of Rochester Medical Center, Rochester, NY, USA
| | - Imad R Khan
- Department of Neurology, University of Rochester Medical Center, Rochester, NY, USA
| | - Karlo J Lizarraga
- Department of Neurology, University of Rochester Medical Center, Rochester, NY, USA
| | - Hannah G Madagan
- Department of Neurology, McKnight Brain Institute, University of Florida College of Medicine, Room L3-100, 1149 Newell Drive, Gainesville, FL, 32611, USA
| | - Chidinma L Onweni
- Department of Critical Care Medicine, Mayo Clinic, Jacksonville, FL, USA
| | - Humberto Mestre
- Center for Translational Neuromedicine, Department of Neurosurgery, University of Rochester Medical Center, Rochester, USA
| | | | - Clio Rubinos
- Department of Neurology, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | | | - Teddy S Youn
- Department of Neurology, Barrow Neurological Institute, Phoenix, AZ, USA
| | - Lisa H Merck
- Department of Emergency Medicine, University of Florida College of Medicine, Gainesville, FL, USA
- Department of Health Outcomes and Biomedical Informatics, University of Florida College of Medicine, Gainesville, FL, USA
| | - Carolina B Maciel
- Department of Neurology, McKnight Brain Institute, University of Florida College of Medicine, Room L3-100, 1149 Newell Drive, Gainesville, FL, 32611, USA
- Department of Neurosurgery, University of Florida College of Medicine, Gainesville, FL, USA
- Department of Neurology, Yale University School of Medicine, New Haven, CT, USA
- Department of Neurology, University of Utah, Salt Lake City, UT, USA
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Novel Estimation of Penumbra Zone Based on Infarct Growth Using Machine Learning Techniques in Acute Ischemic Stroke. J Clin Med 2020; 9:jcm9061977. [PMID: 32599812 PMCID: PMC7355454 DOI: 10.3390/jcm9061977] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Revised: 06/15/2020] [Accepted: 06/22/2020] [Indexed: 12/20/2022] Open
Abstract
While the penumbra zone is traditionally assessed based on perfusion-diffusion mismatch, it can be assessed based on machine learning (ML) prediction of infarct growth. The purpose of this work was to develop and validate an ML method for the prediction of infarct growth distribution and volume, in cases of successful (SR) and unsuccessful recanalization (UR). Pre-treatment perfusion-weighted, diffusion-weighted imaging (DWI) data, and final infarct lesions annotated from day-7 DWI from patients with middle cerebral artery occlusion were utilized to develop and validate two ML models for prediction of tissue fate. SR and UR models were developed from data in patients with modified treatment in cerebral infarction (mTICI) scores of 2b-3 and 0-2a, respectively. When compared to manual infarct annotation, ML-based infarct volume predictions resulted in an intraclass correlation coefficient (ICC) of 0.73 (95% CI = 0.31-0.91, p < 0.01) for UR, and an ICC of 0.87 (95% CI = 0.73-0.94, p < 0.001) for SR. Favorable outcomes for mismatch presence and absence in SR were 50% and 36%, respectively, while they were 61%, 56%, and 25%, respectively, for the low, intermediate, and high infarct growth groups. The presented method can offer novel and alternative insights into selecting patients for recanalization therapy and predicting functional outcome.
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Bhan C, Koehler TJ, Elisevich L, Singer J, Mazaris P, James E, Zachariah J, Combs J, Dejesus M, Tubergen T, Packard L, Min J, Wees N, Khan N, Mulderink T, Khan M. Mechanical Thrombectomy for Acute Stroke: Early versus Late Time Window Outcomes. J Neuroimaging 2020; 30:315-320. [DOI: 10.1111/jon.12698] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2019] [Revised: 01/31/2020] [Accepted: 02/03/2020] [Indexed: 11/29/2022] Open
Affiliation(s)
- Chantal Bhan
- Division of Neurology, Neuroscience InstituteSpectrum Health Grand Rapids MI
- Michgan State University East Lansing MI
| | | | | | - Justin Singer
- Michgan State University East Lansing MI
- Division of Neurosurgery, Neuroscience InstituteSpectrum Health Grand Rapids MI
| | - Paul Mazaris
- Michgan State University East Lansing MI
- University of Michigan Ann Arbor MI
| | - Elysia James
- Division of Neurology, Neuroscience InstituteSpectrum Health Grand Rapids MI
- Michgan State University East Lansing MI
| | - Joseph Zachariah
- Division of Neurology, Neuroscience InstituteSpectrum Health Grand Rapids MI
- Michgan State University East Lansing MI
| | - Jordan Combs
- Division of Neurology, Neuroscience InstituteSpectrum Health Grand Rapids MI
- Michgan State University East Lansing MI
| | - Michelle Dejesus
- Division of Neurology, Neuroscience InstituteSpectrum Health Grand Rapids MI
- Michgan State University East Lansing MI
| | | | - Laurel Packard
- Division of Neurology, Neuroscience InstituteSpectrum Health Grand Rapids MI
| | - Jiangyong Min
- Division of Neurology, Neuroscience InstituteSpectrum Health Grand Rapids MI
- Michgan State University East Lansing MI
| | - Nabil Wees
- Division of Neurology, Neuroscience InstituteSpectrum Health Grand Rapids MI
- Michgan State University East Lansing MI
| | - Nadeem Khan
- Division of Neurology, Neuroscience InstituteSpectrum Health Grand Rapids MI
- Michgan State University East Lansing MI
| | - Todd Mulderink
- Department of RadiologySpectrum Health Grand Rapids MI
- Division of RadiologyMichigan State University Grand Rapids MI
- Advanced Radiology ServicesPC Grand Rapids MI
| | - Muhib Khan
- Division of Neurology, Neuroscience InstituteSpectrum Health Grand Rapids MI
- Michgan State University East Lansing MI
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Lee SJ, Hong JM, Choi JW, Park JH, Park B, Kang DH, Kim YW, Kim YS, Hong JH, Yoo J, Kim CH, Sohn SI, Hwang YH, Lee JS. Predicting Endovascular Treatment Outcomes in Acute Vertebrobasilar Artery Occlusion: A Model to Aid Patient Selection from the ASIAN KR Registry. Radiology 2020; 294:628-637. [PMID: 31990269 DOI: 10.1148/radiol.2020191227] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Background The decision to perform endovascular treatment (EVT) for stroke related to vertebrobasilar occlusion (VBO) remains controversial. Purpose To identify preprocedural predictors of good outcomes and to develop a model to aid patient selection for VBO. Materials and Methods For this retrospective study using a Korean multicenter registry, a predictive model for good outcomes (modified Rankin scale score, 0-2) was generated based on a derivation sample of patients with VBO (January 2011-February 2016). Preprocedural parameters, including onset-to-puncture time, infarct volume, occlusion type as a surrogate marker of intracranial atherosclerotic stenosis-related occlusion or embolic occlusion (truncal-type occlusion vs branching site occlusion), and collateral status, were analyzed. Continuous variables were dichotomized based on receiver operating characteristic analysis. Multiple logistic regression analysis was performed to generate a predictive model. The model was internally validated with the bootstrap method and was externally validated with a single-center sample (April 2016-December 2018). Results A predictive model was generated from 71 patients (mean age, 67 years ± 11 [standard deviation]; 41 [58%] men) and was externally validated in 32 patients (mean age, 72 years ± 13; 19 [59%] men). The composite of initial DW imaging volume of less than 10 mL (odds ratio [OR], 19.3; 95% confidence interval [CI]: 3.0, 126.4; P = .002), onset-to-puncture time of less than 8 hours (OR, 8.7; 95% CI: 1.8, 42.0; P = .007), and branching-site occlusion (OR, 6.1; 95% CI: 1.5, 26.0; P = .01) could be used to predict good outcomes, with a median area under the receiver operating characteristic curve of 0.86 (interquartile range [IQR], 0.77-0.95; bootstrap optimism-corrected C statistic, 0.837) in the derivation sample and 0.78 (IQR, 0.62-0.95) in the validation sample. Results failed to show an association between collateral status and outcome (P = .67). Conclusion When selecting patients with vertebrobasilar occlusion for endovascular treatment, the combination of onset-to-puncture time of less than 8 hours, initial infarct volume of less than 10 mL, and presence of branching-site occlusions is indicative of a good outcome. © RSNA, 2020 Online supplemental material is available for this article.
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Affiliation(s)
- Seong-Joon Lee
- From the Departments of Neurology (S.J.L., J.M.H., J.S.L.), Radiology (J.W.C.), and Biomedical Informatics (B.P.), Ajou University School of Medicine, and Office of Biostatistics, Ajou Research Institute for Innovative Medicine (J.H.P., B.P.), Ajou University Medical Center, 164 World Cup-ro, Yeongtong-gu, Suwon, Gyeonggi-do 16499, Republic of Korea; Departments of Neurosurgery (D.H.K.), Radiology (D.H.K., Y.W.K., Y.S.K.), and Neurology (Y.W.K., Y.H.H.), School of Medicine, Kyungpook National University, Daegu, Republic of Korea; and Departments of Neurology (J.H.H., J.Y., S.I.S.) and Neurosurgery (C.H.K.), Keimyung University Dongsan Medical Center, Daegu, Republic of Korea
| | - Ji Man Hong
- From the Departments of Neurology (S.J.L., J.M.H., J.S.L.), Radiology (J.W.C.), and Biomedical Informatics (B.P.), Ajou University School of Medicine, and Office of Biostatistics, Ajou Research Institute for Innovative Medicine (J.H.P., B.P.), Ajou University Medical Center, 164 World Cup-ro, Yeongtong-gu, Suwon, Gyeonggi-do 16499, Republic of Korea; Departments of Neurosurgery (D.H.K.), Radiology (D.H.K., Y.W.K., Y.S.K.), and Neurology (Y.W.K., Y.H.H.), School of Medicine, Kyungpook National University, Daegu, Republic of Korea; and Departments of Neurology (J.H.H., J.Y., S.I.S.) and Neurosurgery (C.H.K.), Keimyung University Dongsan Medical Center, Daegu, Republic of Korea
| | - Jin Wook Choi
- From the Departments of Neurology (S.J.L., J.M.H., J.S.L.), Radiology (J.W.C.), and Biomedical Informatics (B.P.), Ajou University School of Medicine, and Office of Biostatistics, Ajou Research Institute for Innovative Medicine (J.H.P., B.P.), Ajou University Medical Center, 164 World Cup-ro, Yeongtong-gu, Suwon, Gyeonggi-do 16499, Republic of Korea; Departments of Neurosurgery (D.H.K.), Radiology (D.H.K., Y.W.K., Y.S.K.), and Neurology (Y.W.K., Y.H.H.), School of Medicine, Kyungpook National University, Daegu, Republic of Korea; and Departments of Neurology (J.H.H., J.Y., S.I.S.) and Neurosurgery (C.H.K.), Keimyung University Dongsan Medical Center, Daegu, Republic of Korea
| | - Ji Hyun Park
- From the Departments of Neurology (S.J.L., J.M.H., J.S.L.), Radiology (J.W.C.), and Biomedical Informatics (B.P.), Ajou University School of Medicine, and Office of Biostatistics, Ajou Research Institute for Innovative Medicine (J.H.P., B.P.), Ajou University Medical Center, 164 World Cup-ro, Yeongtong-gu, Suwon, Gyeonggi-do 16499, Republic of Korea; Departments of Neurosurgery (D.H.K.), Radiology (D.H.K., Y.W.K., Y.S.K.), and Neurology (Y.W.K., Y.H.H.), School of Medicine, Kyungpook National University, Daegu, Republic of Korea; and Departments of Neurology (J.H.H., J.Y., S.I.S.) and Neurosurgery (C.H.K.), Keimyung University Dongsan Medical Center, Daegu, Republic of Korea
| | - Bumhee Park
- From the Departments of Neurology (S.J.L., J.M.H., J.S.L.), Radiology (J.W.C.), and Biomedical Informatics (B.P.), Ajou University School of Medicine, and Office of Biostatistics, Ajou Research Institute for Innovative Medicine (J.H.P., B.P.), Ajou University Medical Center, 164 World Cup-ro, Yeongtong-gu, Suwon, Gyeonggi-do 16499, Republic of Korea; Departments of Neurosurgery (D.H.K.), Radiology (D.H.K., Y.W.K., Y.S.K.), and Neurology (Y.W.K., Y.H.H.), School of Medicine, Kyungpook National University, Daegu, Republic of Korea; and Departments of Neurology (J.H.H., J.Y., S.I.S.) and Neurosurgery (C.H.K.), Keimyung University Dongsan Medical Center, Daegu, Republic of Korea
| | - Dong-Hun Kang
- From the Departments of Neurology (S.J.L., J.M.H., J.S.L.), Radiology (J.W.C.), and Biomedical Informatics (B.P.), Ajou University School of Medicine, and Office of Biostatistics, Ajou Research Institute for Innovative Medicine (J.H.P., B.P.), Ajou University Medical Center, 164 World Cup-ro, Yeongtong-gu, Suwon, Gyeonggi-do 16499, Republic of Korea; Departments of Neurosurgery (D.H.K.), Radiology (D.H.K., Y.W.K., Y.S.K.), and Neurology (Y.W.K., Y.H.H.), School of Medicine, Kyungpook National University, Daegu, Republic of Korea; and Departments of Neurology (J.H.H., J.Y., S.I.S.) and Neurosurgery (C.H.K.), Keimyung University Dongsan Medical Center, Daegu, Republic of Korea
| | - Yong-Won Kim
- From the Departments of Neurology (S.J.L., J.M.H., J.S.L.), Radiology (J.W.C.), and Biomedical Informatics (B.P.), Ajou University School of Medicine, and Office of Biostatistics, Ajou Research Institute for Innovative Medicine (J.H.P., B.P.), Ajou University Medical Center, 164 World Cup-ro, Yeongtong-gu, Suwon, Gyeonggi-do 16499, Republic of Korea; Departments of Neurosurgery (D.H.K.), Radiology (D.H.K., Y.W.K., Y.S.K.), and Neurology (Y.W.K., Y.H.H.), School of Medicine, Kyungpook National University, Daegu, Republic of Korea; and Departments of Neurology (J.H.H., J.Y., S.I.S.) and Neurosurgery (C.H.K.), Keimyung University Dongsan Medical Center, Daegu, Republic of Korea
| | - Yong-Sun Kim
- From the Departments of Neurology (S.J.L., J.M.H., J.S.L.), Radiology (J.W.C.), and Biomedical Informatics (B.P.), Ajou University School of Medicine, and Office of Biostatistics, Ajou Research Institute for Innovative Medicine (J.H.P., B.P.), Ajou University Medical Center, 164 World Cup-ro, Yeongtong-gu, Suwon, Gyeonggi-do 16499, Republic of Korea; Departments of Neurosurgery (D.H.K.), Radiology (D.H.K., Y.W.K., Y.S.K.), and Neurology (Y.W.K., Y.H.H.), School of Medicine, Kyungpook National University, Daegu, Republic of Korea; and Departments of Neurology (J.H.H., J.Y., S.I.S.) and Neurosurgery (C.H.K.), Keimyung University Dongsan Medical Center, Daegu, Republic of Korea
| | - Jeong-Ho Hong
- From the Departments of Neurology (S.J.L., J.M.H., J.S.L.), Radiology (J.W.C.), and Biomedical Informatics (B.P.), Ajou University School of Medicine, and Office of Biostatistics, Ajou Research Institute for Innovative Medicine (J.H.P., B.P.), Ajou University Medical Center, 164 World Cup-ro, Yeongtong-gu, Suwon, Gyeonggi-do 16499, Republic of Korea; Departments of Neurosurgery (D.H.K.), Radiology (D.H.K., Y.W.K., Y.S.K.), and Neurology (Y.W.K., Y.H.H.), School of Medicine, Kyungpook National University, Daegu, Republic of Korea; and Departments of Neurology (J.H.H., J.Y., S.I.S.) and Neurosurgery (C.H.K.), Keimyung University Dongsan Medical Center, Daegu, Republic of Korea
| | - Joonsang Yoo
- From the Departments of Neurology (S.J.L., J.M.H., J.S.L.), Radiology (J.W.C.), and Biomedical Informatics (B.P.), Ajou University School of Medicine, and Office of Biostatistics, Ajou Research Institute for Innovative Medicine (J.H.P., B.P.), Ajou University Medical Center, 164 World Cup-ro, Yeongtong-gu, Suwon, Gyeonggi-do 16499, Republic of Korea; Departments of Neurosurgery (D.H.K.), Radiology (D.H.K., Y.W.K., Y.S.K.), and Neurology (Y.W.K., Y.H.H.), School of Medicine, Kyungpook National University, Daegu, Republic of Korea; and Departments of Neurology (J.H.H., J.Y., S.I.S.) and Neurosurgery (C.H.K.), Keimyung University Dongsan Medical Center, Daegu, Republic of Korea
| | - Chang-Hyun Kim
- From the Departments of Neurology (S.J.L., J.M.H., J.S.L.), Radiology (J.W.C.), and Biomedical Informatics (B.P.), Ajou University School of Medicine, and Office of Biostatistics, Ajou Research Institute for Innovative Medicine (J.H.P., B.P.), Ajou University Medical Center, 164 World Cup-ro, Yeongtong-gu, Suwon, Gyeonggi-do 16499, Republic of Korea; Departments of Neurosurgery (D.H.K.), Radiology (D.H.K., Y.W.K., Y.S.K.), and Neurology (Y.W.K., Y.H.H.), School of Medicine, Kyungpook National University, Daegu, Republic of Korea; and Departments of Neurology (J.H.H., J.Y., S.I.S.) and Neurosurgery (C.H.K.), Keimyung University Dongsan Medical Center, Daegu, Republic of Korea
| | - Sung-Il Sohn
- From the Departments of Neurology (S.J.L., J.M.H., J.S.L.), Radiology (J.W.C.), and Biomedical Informatics (B.P.), Ajou University School of Medicine, and Office of Biostatistics, Ajou Research Institute for Innovative Medicine (J.H.P., B.P.), Ajou University Medical Center, 164 World Cup-ro, Yeongtong-gu, Suwon, Gyeonggi-do 16499, Republic of Korea; Departments of Neurosurgery (D.H.K.), Radiology (D.H.K., Y.W.K., Y.S.K.), and Neurology (Y.W.K., Y.H.H.), School of Medicine, Kyungpook National University, Daegu, Republic of Korea; and Departments of Neurology (J.H.H., J.Y., S.I.S.) and Neurosurgery (C.H.K.), Keimyung University Dongsan Medical Center, Daegu, Republic of Korea
| | - Yang-Ha Hwang
- From the Departments of Neurology (S.J.L., J.M.H., J.S.L.), Radiology (J.W.C.), and Biomedical Informatics (B.P.), Ajou University School of Medicine, and Office of Biostatistics, Ajou Research Institute for Innovative Medicine (J.H.P., B.P.), Ajou University Medical Center, 164 World Cup-ro, Yeongtong-gu, Suwon, Gyeonggi-do 16499, Republic of Korea; Departments of Neurosurgery (D.H.K.), Radiology (D.H.K., Y.W.K., Y.S.K.), and Neurology (Y.W.K., Y.H.H.), School of Medicine, Kyungpook National University, Daegu, Republic of Korea; and Departments of Neurology (J.H.H., J.Y., S.I.S.) and Neurosurgery (C.H.K.), Keimyung University Dongsan Medical Center, Daegu, Republic of Korea
| | - Jin Soo Lee
- From the Departments of Neurology (S.J.L., J.M.H., J.S.L.), Radiology (J.W.C.), and Biomedical Informatics (B.P.), Ajou University School of Medicine, and Office of Biostatistics, Ajou Research Institute for Innovative Medicine (J.H.P., B.P.), Ajou University Medical Center, 164 World Cup-ro, Yeongtong-gu, Suwon, Gyeonggi-do 16499, Republic of Korea; Departments of Neurosurgery (D.H.K.), Radiology (D.H.K., Y.W.K., Y.S.K.), and Neurology (Y.W.K., Y.H.H.), School of Medicine, Kyungpook National University, Daegu, Republic of Korea; and Departments of Neurology (J.H.H., J.Y., S.I.S.) and Neurosurgery (C.H.K.), Keimyung University Dongsan Medical Center, Daegu, Republic of Korea
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