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Diestro JDB, Fahed R, Omar AT, Hawkes C, Hendriks EJ, Enriquez C, Eesa M, Stotts G, Lee H, Nagendra S, Poppe A, Ducroux C, Lim T, Narvacan K, Rizzuto M, Alfalahi A, Nishi H, Sarma P, Itsekson Hayosh Z, Ignacio K, Boisseau W, Pimenta Ribeiro Pontes Almeida E, Benomar A, Almekhlafi MA, Milot G, Deshmukh A, Kishore K, Tampieri D, Wang J, Srivastava A, Roy D, Carpani F, Kashani N, Candale-Radu C, Singh N, Bres Bullrich M, Sarmiento R, Muir RT, Parra-Fariñas C, Reiter S, Deschaintre Y, Singh RJ, Bodani V, Katsanos A, Agid R, Zafar A, Pereira VM, Spears J, Marotta TR, Djiadeu P, Sharma S, Farrokhyar F. Clinical uncertainty in large vessel occlusion ischemic stroke: does automated perfusion imaging make a difference? An intra-rater and inter-rater agreement study. J Neurointerv Surg 2025; 17:192-199. [PMID: 38453461 DOI: 10.1136/jnis-2023-021429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Accepted: 02/18/2024] [Indexed: 03/09/2024]
Abstract
BACKGROUND Limited research exists regarding the impact of neuroimaging on endovascular thrombectomy (EVT) decisions for late-window cases of large vessel occlusion (LVO) stroke. OBJECTIVE T0 assess whether perfusion CT imaging: (1) alters the proportion of recommendations for EVT, and (2) enhances the reliability of EVT decision-making compared with non-contrast CT and CT angiography. METHODS We conducted a survey using 30 patients drawn from an institutional database of 3144 acute stroke cases. These were presented to 29 Canadian physicians with and without perfusion imaging. We used non-overlapping 95% confidence intervals and difference in agreement classification as criteria to suggest a difference between the Gwet AC1 statistics (κG). RESULTS The percentage of EVT recommendations differed by 1.1% with or without perfusion imaging. Individual decisions changed in 21.4% of cases (11.3% against EVT and 10.1% in favor). Inter-rater agreement (κG) among the 29 raters was similar between non-perfusion and perfusion CT neuroimaging (κG=0.487; 95% CI 0.327 to 0.647 and κG=0.552; 95% CI 0.430 to 0.675). The 95% CIs overlapped with moderate agreement in both. Intra-rater agreement exhibited overlapping 95% CIs for all 28 raters. κG was either substantial or excellent (0.81-1) for 71.4% (20/28) of raters in both groups. CONCLUSIONS Despite the minimal difference in overall EVT recommendations with either neuroimaging protocol one in five decisions changed with perfusion imaging. Regarding agreement we found that the use of automated CT perfusion images does not significantly impact the reliability of EVT decisions for patients with late-window LVO.
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Affiliation(s)
- Jose Danilo Bengzon Diestro
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
- Divison of Neurology, Department of Medicine, St. Michael's Hospital- Unity Health Toronto, University of Toronto, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Insitute, St. Michael's Hospital- Unity Health Toronto, Toronto, Ontario, Canada
- Division of Diagnostic and Therapeutic Neuroradiology, Department of Medical Imaging, St. Michael's Hospital- Unity Health Toronto, University of Toronto, Toronto, Ontario, Canada
| | - Robert Fahed
- Division Neurology, Department of Medicine, The Ottawa Hospital - Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Ontario, Canada
| | - Abdelsimar Tan Omar
- Division of Neurosurgery, Department of Surgery, McMaster University, Hamilton, Ontario, Canada
| | - Christine Hawkes
- Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Eef J Hendriks
- Division of Interventional Neuroradiology, Joint Department of Medical Imaging (JDMI), Toronto Western Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Clare Enriquez
- Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Muneer Eesa
- Department of Radiology, University of Calgary, Calgary, Alberta, Canada
| | - Grant Stotts
- Division Neurology, Department of Medicine, The Ottawa Hospital - Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Ontario, Canada
| | - Hubert Lee
- Division of Neurointerventional Neuroradiology, Division of Neurosurgery, Trillium Health Partners, Mississauga, Ontario, Canada
| | - Shashank Nagendra
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Alexandre Poppe
- Department of Neurosciences, Faculté de Médecine, Université de Montréal, Montréal, Quebec, Canada
| | - Célina Ducroux
- Division Neurology, Department of Medicine, The Ottawa Hospital - Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Ontario, Canada
| | - Timothy Lim
- Division of Diagnostic Neuroradiology, Department of Medical Imaging, Unity Health- St Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Karl Narvacan
- Department of Medical Imaging, St Michael's Hospital- Unity Health Toronto, University of Toronto, Toronto, Ontario, Canada
| | - Michael Rizzuto
- Division of Neurosurgery, Department of Surgery, Vancouver General Hospital, University of British Columbia, Vancouver, British Columbia, Canada
| | - Afra Alfalahi
- Division of Diagnostic and Therapeutic Neuroradiology, Department of Medical Imaging, St. Michael's Hospital- Unity Health Toronto, University of Toronto, Toronto, Ontario, Canada
| | - Hidehisa Nishi
- Division of Diagnostic and Therapeutic Neuroradiology, Department of Medical Imaging, St. Michael's Hospital- Unity Health Toronto, University of Toronto, Toronto, Ontario, Canada
- Department of Neurosurgery, Koseikai Takeda hospital, Kyoto, Japan
| | - Pragyan Sarma
- Division of Diagnostic and Therapeutic Neuroradiology, Department of Medical Imaging, St. Michael's Hospital- Unity Health Toronto, University of Toronto, Toronto, Ontario, Canada
| | - Ze'ev Itsekson Hayosh
- Division of Diagnostic and Therapeutic Neuroradiology, Department of Medical Imaging, St. Michael's Hospital- Unity Health Toronto, University of Toronto, Toronto, Ontario, Canada
- Division of Interventional Neuroradiology, Joint Department of Medical Imaging (JDMI), Toronto Western Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Katrina Ignacio
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - William Boisseau
- Department of Interventional Neuroradiology, Fondation Rothschild Hospital, Paris, France
| | | | - Anass Benomar
- Department of Radiology, Centre Hospitalier de l'Université de Montréal, Montreal, Québec, Canada
| | - Mohammed A Almekhlafi
- Departments of Clinical Neurosciences, Radiology, and Community Health Sciences, Hotchkiss Brain Institute and O'Brien Institute for Public Health, Cumming School of Medicine at the University of Calgary, Calgary, Alberta, Canada
| | - Genvieve Milot
- Department of Surgery (Neurosurgery), Centre Hospitalier de Quebec, Université Laval, Laval, Quebec, Canada
| | - Aviraj Deshmukh
- Division of Clinical Sciences, Health Sciences North, Northern Ontario School of Medicine University, Sudbury, Ontario, Canada
| | - Kislay Kishore
- Division of Neurosurgery, Department of Surgery, McMaster University, Hamilton, Ontario, Canada
| | - Donatella Tampieri
- Department of Radiology, Kingston Health Sciences Centre, Queen's University, Kingston, Ontario, Canada
| | - Jeffrey Wang
- Divison of Neurology, Department of Medicine, St. Michael's Hospital- Unity Health Toronto, University of Toronto, Toronto, Ontario, Canada
| | - Abhilekh Srivastava
- Division of Neurology, Department of Medicine, Hamilton General Hospital, McMaster University, Hamilton, Ontario, Canada
| | - Daniel Roy
- Département de Radiologie, Radio-Oncologie et Médecine Nucléaire, Université de Montréal, Montréal, Quebec, Canada
| | - Federico Carpani
- Division of Neurology, Department of Medicine, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Nima Kashani
- Department of Medical Imaging, Royal University Hospital, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Claudia Candale-Radu
- Division of Neurology, Department of Internal Medicine, Health Sciences Center, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Nishita Singh
- Division of Neurology, Department of Internal Medicine, Health Sciences Center, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Maria Bres Bullrich
- Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Robert Sarmiento
- Division of Neurology, Department of Medicine, Vancouver General Hospital- University of British Columbia, Vancouver, British Columbia, Canada
| | - Ryan T Muir
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Carmen Parra-Fariñas
- Divisions of Neuroradiology & Neurointervention, Department of Diagnostic & Interventional Radiology, Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada
| | - Stephanie Reiter
- Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Yan Deschaintre
- Department of Neurosciences, Faculté de Médecine, Université de Montréal, Montréal, Quebec, Canada
| | - Ravinder-Jeet Singh
- Division of Clinical Sciences, Health Sciences North, Northern Ontario School of Medicine University, Sudbury, Ontario, Canada
| | - Vivek Bodani
- Division of Interventional Neuroradiology, Joint Department of Medical Imaging (JDMI), Toronto Western Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Aristeidis Katsanos
- Division of Neurology, Department of Medicine, Hamilton General Hospital, McMaster University, Hamilton, Ontario, Canada
| | - Ronit Agid
- Division of Interventional Neuroradiology, Joint Department of Medical Imaging (JDMI), Toronto Western Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Atif Zafar
- Divison of Neurology, Department of Medicine, St. Michael's Hospital- Unity Health Toronto, University of Toronto, Toronto, Ontario, Canada
| | - Vitor M Pereira
- Li Ka Shing Knowledge Insitute, St. Michael's Hospital- Unity Health Toronto, Toronto, Ontario, Canada
- Division of Diagnostic and Therapeutic Neuroradiology, Department of Medical Imaging, St. Michael's Hospital- Unity Health Toronto, University of Toronto, Toronto, Ontario, Canada
- Division of Neurosurgery, Department of Surgery, St. Michael's Hospital- Unity Health Toronto, University of Toronto, Toronto, Ontario, Canada
| | - Julian Spears
- Division of Neurosurgery, Department of Surgery, St. Michael's Hospital- Unity Health Toronto, University of Toronto, Toronto, Ontario, Canada
| | - Thomas R Marotta
- Li Ka Shing Knowledge Insitute, St. Michael's Hospital- Unity Health Toronto, Toronto, Ontario, Canada
- Division of Diagnostic and Therapeutic Neuroradiology, Department of Medical Imaging, St. Michael's Hospital- Unity Health Toronto, University of Toronto, Toronto, Ontario, Canada
| | - Pascal Djiadeu
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
- Department of Global Health, 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
| | - 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
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Alhabli I, Benali F, Hill MD, Murphy S, Toni D, Patrik M, Casetta I, Power S, Saia V, Pracucci G, Mangiafico S, Boyle K, Nannoni S, Fainardi E, Thornton J, Kim BJ, Menon BK, Almekhlafi MA, Bala F. Impact of workflow times on successful reperfusion after endovascular treatment in the late time window. Neuroradiol J 2025:19714009251313512. [PMID: 39805570 PMCID: PMC11729390 DOI: 10.1177/19714009251313512] [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: 01/16/2025] Open
Abstract
BACKGROUND AND PURPOSE Successful and complete reperfusion should be the aim of every endovascular thrombectomy (EVT) procedure. However, the effect of time delays on successful reperfusion in late window stroke patients presenting 6-to-24 h from onset has not been investigated. MATERIALS AND METHODS We pooled individual patient-level data from seven trials and registries for anterior circulation stroke patients treated with EVT between 6 and 24 h from onset. We explored the impact of delays across multiple interval times, including onset to hospital arrival; hospital arrival to arterial puncture; imaging to arterial puncture; and onset to arterial puncture. Our primary outcome was successful reperfusion, defined as a modified thrombolysis in cerebral infarction (mTICI) score of 2b-3. Logistic regression analyses were performed to assess the association between each of the interval times and successful reperfusion. RESULTS We included 608 patients. The median age was 70 years (IQR 58-79), and 307 (50.5%) were females. Successful reperfusion was achieved in 494 (81.2%) patients. Patients with successful reperfusion had lower NIHSS scores (median 15 [IQR11-19] vs 17 [11-21], p = .02) and significantly shorter hospital arrival to arterial puncture time (90 min [60-150] vs 110 min [84.5-150], p = .01) than unsuccessful reperfusion. The odds of successful reperfusion decreased by 15% for every one-hour delay in arrival-to-puncture time (adjusted odds ratio 0.85, 95% CI: 0.75-0.95). Other workflow times did not impact the rate of successful reperfusion. CONCLUSION Faster hospital arrival to arterial puncture time is associated with higher odds of successful reperfusion in late window stroke patients.
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Affiliation(s)
- Ibrahim Alhabli
- Calgary Stroke Program, Department of Clinical Neurosciences and Radiology, University of Calgary, Canada
| | - Faysal Benali
- Calgary Stroke Program, Department of Clinical Neurosciences and Radiology, University of Calgary, Canada
- Department of Radiology & Nuclear Medicine, Maastricht University Medical Centre+ (MUMC+), The Netherlands
| | - Michael D Hill
- Calgary Stroke Program, Department of Clinical Neurosciences and Radiology, University of Calgary, Canada
- Department of Community Health Sciences, University of Calgary, Canada
| | - Sean Murphy
- Department of Geriatric and Stroke Medicine, The Mater Misericordiae University Hospital, Ireland
- School of Medicine, Royal College of Surgeons in Ireland, Ireland
- School of Medicine, University College Dublin, Dublin, Ireland
| | - Danilo Toni
- Emergency Department, Stroke Unit, Sapienza University Hospital, Italy
| | - Michel Patrik
- Stroke Center, Neurology Service, Lausanne University Hospital, Switzerland
- University of Lausanne, Switzerland
| | | | - Sarah Power
- Neuroradiology Department, Beaumont Hospital, Ireland
| | | | | | | | - Karl Boyle
- Department of Geriatric and Stroke Medicine, Beaumont Hospital, Ireland
| | - Stefania Nannoni
- Stroke Center, Neurology Service, Lausanne University Hospital, Switzerland
- University of Lausanne, Switzerland
| | - Enrico Fainardi
- Neuroradiology Unit, Department of Experimental and Clinical Biomedical Sciences, University of Florence, Italy
| | - John Thornton
- Neuroradiology Department, Beaumont Hospital, Ireland
- Royal College of Surgeons in Ireland, Ireland
| | - Beom Joon Kim
- Department of Neurology and Cerebrovascular Center, Seoul National University Bundang Hospital, Republic of Korea
| | - Bijoy K Menon
- Calgary Stroke Program, Department of Clinical Neurosciences and Radiology, University of Calgary, Canada
- Department of Community Health Sciences, University of Calgary, Canada
| | - Mohammed A Almekhlafi
- Calgary Stroke Program, Department of Clinical Neurosciences and Radiology, University of Calgary, Canada
- Department of Community Health Sciences, University of Calgary, Canada
| | - Fouzi Bala
- Calgary Stroke Program, Department of Clinical Neurosciences and Radiology, University of Calgary, Canada
- Diagnostic and Interventional Neuroradiology Department, University Hospital of Tours, France
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Zhang X, Liu Q, Guo L, Guo X, Zhou X, Lv S, Lin Y, Wang J. Insights into multilevel tissue-level collateral status using ColorViz maps from dual data sources in acute ischemic cerebrovascular diseases: A STARD-compliant retrospective study. Medicine (Baltimore) 2024; 103:e39787. [PMID: 39312348 PMCID: PMC11419551 DOI: 10.1097/md.0000000000039787] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2024] [Accepted: 08/30/2024] [Indexed: 09/25/2024] Open
Abstract
This study aims to explore the utility of ColorViz mapping from dual data sources for assessing arterial collateral circulation and predicting cerebral tissue-level collateral (TLC) in patients with acute ischemic cerebrovascular diseases. A retrospective study was conducted at a single center on a cohort of 79 patients diagnosed with acute ischemic cerebrovascular diseases between November 2021 and April 2022, who had undergone both multi-phase CT angiography (mCTA) and computed tomography perfusion (CTP). The quality of images and arterial collateral status depicted on ColorViz maps from dual data-sets (mCTA and CTP) were assessed using a "5-point scale" and a "10-point scale," respectively. The status of TLC was evaluated by analyzing multilevel hypoperfusion volume and the hypoperfusion intensity ratio (HIR). The Spearman correlation coefficient was employed to examine the association between arterial collateral status derived from dual data sources and TLC. Receiver operating characteristic curve analysis was used to determine the diagnostic efficacy in detecting large vessel occlusive acute ischemic stroke (LVO-AIS). The ColorViz maps derived from dual data sources facilitated comparable image quality, with over 95% of cases meeting diagnostic criteria, for the evaluation of arterial level collateral circulation. Patients with robust arterial collateral circulation, as determined by dual data sources, were more likely to exhibit favorable TLC status, as evidenced by reductions in hypoperfusion volume (Tmax > 4 seconds, Tmax > 6 seconds, Tmax > 8 seconds, and Tmax > 10 seconds, P < .05) and HIR (Tmax > 6 seconds/4 seconds, Tmax > 8 seconds/4 seconds, Tmax > 10 seconds/4 seconds, and Tmax > 8 seconds/6 seconds, P < .05). The sensitivity and specificity in detecting LVO-AIS was 60.00% and 97.73% for mCTA source maps, while 74.29% and 72.73% for CTP source maps (P > .05 based on De-Long test). In conclusion, this study indicates that ColorViz maps derived from both data sources are equally important in evaluating arterial collateral circulation and enhancing diagnostic efficiency in patients with LVO-AIS, as well as offering insights into the TLC status based on hypoperfusion volume and HIR.
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Affiliation(s)
- Xiaoxiao Zhang
- Department of Radiology, Zhongshan Hospital Affiliated to Xiamen University, School of Medicine, Xiamen University, Xiamen, China
- Xiamen Radiology Quality Control Center, Zhongshan Hospital Affiliated to Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Qingyu Liu
- Department of Ultrasound, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Luxin Guo
- Department of Radiology, Zhongshan Hospital Affiliated to Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Xiaoxi Guo
- Department of Radiology, Zhongshan Hospital Affiliated to Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Xinhua Zhou
- Department of Radiology, Zhongshan Hospital Affiliated to Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Shaomao Lv
- Department of Radiology, Zhongshan Hospital Affiliated to Xiamen University, School of Medicine, Xiamen University, Xiamen, China
- Xiamen Radiology Quality Control Center, Zhongshan Hospital Affiliated to Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Yu Lin
- Department of Radiology, Zhongshan Hospital Affiliated to Xiamen University, School of Medicine, Xiamen University, Xiamen, China
- Xiamen Radiology Quality Control Center, Zhongshan Hospital Affiliated to Xiamen University, School of Medicine, Xiamen University, Xiamen, China
- Department of Radiology, The First Affiliated Hospital of Fujian Medical University, The First Clinical Medical College of Fujian Medical University, Fuzhou, China
| | - Jinan Wang
- Department of Radiology, Zhongshan Hospital Affiliated to Xiamen University, School of Medicine, Xiamen University, Xiamen, China
- Xiamen Radiology Quality Control Center, Zhongshan Hospital Affiliated to Xiamen University, School of Medicine, Xiamen University, Xiamen, China
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Lin CH, Ovbiagele B, Liebeskind DS, Saver JL, Lee M. Brain imaging prior to thrombectomy in the late window of large vessel occlusion ischemic stroke: a systematic review and meta-analysis. Neuroradiology 2024; 66:809-816. [PMID: 38427071 DOI: 10.1007/s00234-024-03324-z] [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: 08/14/2023] [Accepted: 02/24/2024] [Indexed: 03/02/2024]
Abstract
PURPOSE Optimal imaging modalities to select patients for endovascular thrombectomy (EVT) in the late window of acute ischemic stroke due to large vessel occlusions (AIS-LVO) are not known. We conducted a systematic review comparing outcomes of patients selected by non-contrast computed tomography (NCCT)/CT angiography (CTA) vs. those selected by CT perfusion (CTP) or magnetic resonance imaging (MRI) for EVT in these patients. METHODS We searched PUBMED, EMBASE, and the Cochrane Library from January 1, 2000, to July 15, 2023, to identify studies comparing outcomes of patients selected for EVT by NCCT/CTA vs. CTP or MRI in the late time window for AIS-LVO. Primary outcome was independence (mRS 0-2) at 90 days or discharge. Secondary outcomes were symptomatic intracranial hemorrhage (sICH) and mortality. We pooled data across studies based on an inverse variance method. RESULTS Six cohort studies with 4208 patients were included. Pooled results showed no significant difference in the rate of independence at 90 days or discharge (RR 0.96, 95% CI 0.88-1.03) and sICH (RR 1.26, 0.85-1.86) between patients selected by NCCT/CTA vs. CTP or MRI for EVT in the late window of AIS-LVO. However, patients selected by NCCT/CTA vs. CTP or MRI for EVT were associated with a higher risk of mortality (RR 1.21, 1.06-1.39). CONCLUSION For AIS-LVO in the late window, patients selected by NCCT/CTA compared with those selected by CTP or MRI for EVT might have a comparable rate of functional independence and sICH. Baseline NCCT/CTA may triage AIS-LVO in the late window.
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Affiliation(s)
- Chun-Hsien Lin
- Division of Neurology, Department of Internal Medicine, Ditmanson Medical Foundation, Chia-Yi Christian Hospital, Chiayi, Taiwan
| | - Bruce Ovbiagele
- Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - David S Liebeskind
- Comprehensive Stroke Center and Department of Neurology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Jeffrey L Saver
- Comprehensive Stroke Center and Department of Neurology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Meng Lee
- Department of Neurology, Chang Gung University College of Medicine, Chang Gung Memorial Hospital, Chiayi Branch, Puzi, Taiwan.
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5
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Ademola A, Bala F, Menon BK, Thornton J, Casetta I, Nannoni S, Goyal M, Herlihy D, Fainardi E, Power S, Saia V, Hegarty A, Pracucci G, Demchuk A, Mangiafico S, Boyle K, Michel P, Hildebrand KA, Sajobi TT, Hill MD, Toni D, Murphy S, Kim BJ, Almekhlafi MA. Workflow and Outcome of Thrombectomy in Late Time Window: A Pooled Multicenter Analysis. Can J Neurol Sci 2024:1-7. [PMID: 38639107 DOI: 10.1017/cjn.2024.60] [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: 04/20/2024]
Abstract
BACKGROUND We investigated the impact of workflow times on the outcomes of patients treated with endovascular thrombectomy (EVT) in the late time window. METHODS Individual patients' data who underwent EVT in the late time window (onset to imaging >6 hours) were pooled from seven registries and randomized clinical trials. Multiple time intervals were analyzed. Mixed-effects logistic regression was used to estimate the likelihood of functional independence at 90 days (modified Rankin Scale 0-2). Mixed-effects negative binomial regression was used to evaluate the relationship between patient characteristics and workflow time intervals. RESULTS 608 patients were included. The median age was 70 years (IQR: 58-71), 307 (50.5%) were female, and 310 (53.2%) had wake-up strokes. Successful reperfusion was achieved in 493 (81.2%) patients, and 262 (44.9%) achieved 90-day mRS 0-2. The estimated odds of functional independence decreased by 13% for every 30 minute delay from emergency department (ED) arrival to imaging time and by 7% from ED arrival to the end of EVT in the entire cohort. Also, the estimated odds of functional independence decreased by 33% for every 30 minute delay in the interval from arterial puncture to end of EVT, 16% in the interval from arrival in ED to end of EVT and 6% in the interval from stroke onset to end of EVT among patients who had a wake-up stroke. CONCLUSION Faster workflow from ED arrival to end of EVT is associated with improved functional independence among stroke patients treated in the late window.
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Affiliation(s)
- Ayoola Ademola
- Department of Community Health Sciences, University of Calgary, Calgary, Canada
- McCaig Institute of Bone and Joint, University of Calgary, Calgary, Canada
| | - Fouzi Bala
- Department of Clinical Neurosciences, University of Calgary, Calgary, Canada
| | - Bijoy K Menon
- Department of Community Health Sciences, University of Calgary, Calgary, Canada
- Department of Clinical Neurosciences, University of Calgary, Calgary, Canada
| | - John Thornton
- Neuroradiology Department, Beaumont Hospital, Dublin, Ireland
- Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Ilaria Casetta
- Clinica Neurologica, University of Ferrara, Ferrara, Italy
| | - Stefania Nannoni
- Stroke Center, Neurology Service, Lausanne University Hospital, Lausanne, Switzerland
| | - Mayank Goyal
- Department of Clinical Neurosciences, University of Calgary, Calgary, Canada
- Department of Radiology, University of Calgary, Calgary, Canada
| | - Darragh Herlihy
- Neuroradiology Department, Beaumont Hospital, Dublin, Ireland
| | - Enrico Fainardi
- Neuroradiology Unit, Department of Experimental and Clinical Biomedical Sciences, University of Florence, Firenze, Italy
| | - Sarah Power
- Neuroradiology Department, Beaumont Hospital, Dublin, Ireland
| | - Valentina Saia
- Stroke Unit, Santa Corona Hospital, Pietra Ligure, Italy
| | - Aidan Hegarty
- Neuroradiology Department, Beaumont Hospital, Dublin, Ireland
| | | | - Andrew Demchuk
- Department of Clinical Neurosciences, University of Calgary, Calgary, Canada
- Department of Radiology, University of Calgary, Calgary, Canada
| | | | - Karl Boyle
- Department of Geriatric and Stroke Medicine, Beaumont Hospital, Dublin, Ireland
| | - Patrik Michel
- Stroke Center, Neurology Service, Lausanne University Hospital, Lausanne, Switzerland
| | - Kevin A Hildebrand
- McCaig Institute of Bone and Joint, University of Calgary, Calgary, Canada
- Department of Surgery, University of Calgary, Calgary, Canada
| | - Tolulope T Sajobi
- Department of Community Health Sciences, University of Calgary, Calgary, Canada
| | - Michael D Hill
- Department of Community Health Sciences, University of Calgary, Calgary, Canada
- Department of Clinical Neurosciences, University of Calgary, Calgary, Canada
- Department of Radiology, University of Calgary, Calgary, Canada
| | - Danilo Toni
- Emergency Department, Stroke Unit, Sapienza University Hospital, Rome, Italy
| | - Sean Murphy
- Department of Geriatric and Stroke Medicine, The Mater Misericordiae University Hospital, Dublin, Ireland
- School of Medicine, Royal College of Surgeons in Ireland, Dublin, Ireland
- School of Medicine, University College Dublin, Dublin, Ireland
| | - Beom Joon Kim
- Department of Neurology and Cerebrovascular Center, Seoul National University Bundang Hospital, Seongnam-si, Korea
| | - Mohammed A Almekhlafi
- Department of Community Health Sciences, University of Calgary, Calgary, Canada
- Department of Clinical Neurosciences, University of Calgary, Calgary, Canada
- Department of Radiology, University of Calgary, Calgary, Canada
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6
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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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Dong Z, Deng S, Zhang J, Chen S, Ye Z, Zhang L, Hu R, Zhong C, Liu X, Qin C. Simplified stroke imaging selection modality for endovascular thrombectomy in the extended time window: systematic review and meta-analysis. J Neurointerv Surg 2023; 16:101-106. [PMID: 36597953 PMCID: PMC10803987 DOI: 10.1136/jnis-2022-019556] [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: 08/20/2022] [Accepted: 11/16/2022] [Indexed: 12/12/2022]
Abstract
BACKGROUND The impact of imaging selection modality on clinical outcomes of endovascular thrombectomy (EVT) in the 6-24-hour time window remains undetermined. We compared the clinical outcomes of a simplified stroke imaging selection modality using non-contrast computed tomography (NCCT)±CT angiography (CTA) with using advanced CT perfusion (CTP). METHODS PubMed, Embase, Web of Science, and Cochrane Central Register of Controlled Trials were searched from inception to 1 May 2022 to compare NCCT±CTA and CTP for patient selection for EVT in late-presenting stroke with large vessel occlusions (LVO). The primary outcome was the proportion of patients achieving functional independence (modified Rankin Scale score 0-2) within 180 days. The secondary outcomes included mortality within 90 days, successful recanalization, and any intracranial hemorrhage. RESULTS A total of 3419 patients in six articles were included in this meta-analysis. There was no significant difference between NCCT±CTA (no-CTP) and CTP in functional independence either in overall or subgroup analysis. However, the mortality in the no-CTP group was higher than in the CTP group. Furthermore, within the DAWN/DEFUSE 3-like subgroup, there were no significant differences in mortality, successful recanalization, and any intracranial hemorrhage between the two groups. CONCLUSION There was no significant difference between the simplified NCCT±CTA modality and the advanced CTP modality. The use of NCCT±CTA may represent a reasonable option for selecting patients for EVT in the extended time window, especially in the absence of CTP and acute phase MRI capabilities.
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Affiliation(s)
- Zimei Dong
- Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
- Department of Neurology, People's Hospital of Chuxiong Yi Autonomous Prefecture, Chuxiong, Yunnan, China
| | - Shan Deng
- Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
- Department of Neurology, Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, Guangxi, China
| | - Jian Zhang
- Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Shijian Chen
- Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Ziming Ye
- Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Limei Zhang
- Department of Cardiology, People's Hospital of Chuxiong Yi Autonomous Prefecture, Chuxiong, Yunnan, China
| | - Ruiting Hu
- Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Cai Zhong
- Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Xiuying Liu
- Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Chao Qin
- Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
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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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9
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Diestro JDB. Rethinking the role of CT perfusion in the management of emergent large vessel ischemic stroke. J Neurointerv Surg 2023; 15:833-834. [PMID: 37591605 DOI: 10.1136/jnis-2023-020860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/26/2023] [Indexed: 08/19/2023]
Affiliation(s)
- Jose Danilo Bengzon Diestro
- Department of Medical Imaging, Division of Diagnostic and Therapeutic Neuroradiology, Unity Health- St. Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
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10
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Bala F, Kim BJ, Najm M, Thornton J, Fainardi E, Michel P, Alpay K, Herlihy D, Goyal M, Casetta I, Nannoni S, Ylikotila P, Power S, Saia V, Hegarty A, Pracucci G, Rautio R, Ademola A, Demchuk A, Mangiafico S, Boyle K, Hill MD, Toni D, Murphy S, Menon BK, Almekhlafi MA. Outcomes with Endovascular Treatment of Patients with M2 Segment MCA Occlusion in the Late Time Window. AJNR Am J Neuroradiol 2023; 44:447-452. [PMID: 36958801 PMCID: PMC10084904 DOI: 10.3174/ajnr.a7833] [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: 10/29/2022] [Accepted: 02/23/2023] [Indexed: 03/25/2023]
Abstract
BACKGROUND AND PURPOSE Randomized trials in the late window have demonstrated the efficacy and safety of endovascular thrombectomy in large-vessel occlusions. Patients with M2-segment MCA occlusions were excluded from these trials. We compared outcomes with endovascular thrombectomy in patients with M2-versus-M1 occlusions presenting 6-24 hours after symptom onset. MATERIALS AND METHODS Analyses were on pooled data from studies enrolling patients with stroke treated with endovascular thrombectomy 6-24 hours after symptom onset. We compared 90-day functional independence (mRS ≤ 2), mortality, symptomatic intracranial hemorrhage, and successful reperfusion (expanded TICI = 2b-3) between patients with M2 and M1 occlusions. The benefit of successful reperfusion was then assessed among patients with M2 occlusion. RESULTS Of 461 patients, 367 (79.6%) had M1 occlusions and 94 (20.4%) had M2 occlusions. Patients with M2 occlusions were older and had lower median baseline NIHSS scores. Patients with M2 occlusion were more likely to achieve 90-day functional independence than those with M1 occlusion (adjusted OR = 2.13; 95% CI, 1.25-3.65). There were no significant differences in the proportion of successful reperfusion (82.9% versus 81.1%) or mortality (11.2% versus 17.2%). Symptomatic intracranial hemorrhage risk was lower in patients with M2-versus-M1 occlusions (4.3% versus 12.2%, P = .03). Successful reperfusion was independently associated with functional independence among patients with M2 occlusions (adjusted OR = 2.84; 95% CI, 1.11-7.29). CONCLUSIONS In the late time window, patients with M2 occlusions treated with endovascular thrombectomy achieved better clinical outcomes, similar reperfusion, and lower symptomatic intracranial hemorrhage rates compared with patients with M1 occlusion. These results support the safety and benefit of endovascular thrombectomy in patients with M2 occlusions in the late window.
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Affiliation(s)
- F Bala
- From the Calgary Stroke Program (F.B., M.N., M.G., A.D., M.D.H., B.K.M., M.A.A.), Departments of Clinical Neurosciences and Radiology, University of Calgary, Calgary, Alberta, Canada
- Diagnostic and Interventional Neuroradiology Department (F.B.), University Hospital of Tours, Tours, France
| | - B J Kim
- Department of Neurology and Cerebrovascular Center (B.J.K.), Seoul National University Bundang Hospital, Seoul, Republic of Korea
| | - M Najm
- From the Calgary Stroke Program (F.B., M.N., M.G., A.D., M.D.H., B.K.M., M.A.A.), Departments of Clinical Neurosciences and Radiology, University of Calgary, Calgary, Alberta, Canada
| | - J Thornton
- Neuroradiology Department (J.T., D.H., S.P.)
- Royal College of Surgeons in Ireland (J.T., A.H.), Dublin, Ireland
| | - E Fainardi
- Neuroradiology Unit (E.F.), Department of Experimental and Clinical Biomedical Sciences, University of Florence, Florence, Italy
| | - P Michel
- Stroke Center (P.M., S.N.), Neurology Service, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - K Alpay
- Department of Radiology (K.A., R.R.), Turku University Hospital, Turku, Finland
| | - D Herlihy
- Neuroradiology Department (J.T., D.H., S.P.)
| | - M Goyal
- From the Calgary Stroke Program (F.B., M.N., M.G., A.D., M.D.H., B.K.M., M.A.A.), Departments of Clinical Neurosciences and Radiology, University of Calgary, Calgary, Alberta, Canada
| | - I Casetta
- Clinica Neurologica (I.C.), University of Ferrara, Ferrara, Italy
| | - S Nannoni
- Stroke Center (P.M., S.N.), Neurology Service, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - P Ylikotila
- Neurocenter (P.Y.), Turku University Hospital, University of Turku, Turku, Finland
| | - S Power
- Neuroradiology Department (J.T., D.H., S.P.)
| | - V Saia
- Stroke Unit (V.S.), Santa Corona Hospital, Pietra Ligure, Italy
| | - A Hegarty
- Royal College of Surgeons in Ireland (J.T., A.H.), Dublin, Ireland
| | - G Pracucci
- Stroke Unit (G.P.), Careggi University Hospital, Florence, Italy
| | - R Rautio
- Department of Radiology (K.A., R.R.), Turku University Hospital, Turku, Finland
| | - A Ademola
- Department of Community Health Sciences (A.A., M.D.H., B.K.M., M.A.A.), University of Calgary, Calgary, Alberta, Canada
| | - A Demchuk
- From the Calgary Stroke Program (F.B., M.N., M.G., A.D., M.D.H., B.K.M., M.A.A.), Departments of Clinical Neurosciences and Radiology, University of Calgary, Calgary, Alberta, Canada
| | - S Mangiafico
- Interventional Neuroradiology Unit (S. Mangiafico), Institute for Hospitalization and Healthcare Neuromed, Pozzilli, Italy
| | - K Boyle
- Department of Geriatric and Stroke Medicine (K.B.), Beaumont Hospital, Dublin, Ireland
| | - M D Hill
- From the Calgary Stroke Program (F.B., M.N., M.G., A.D., M.D.H., B.K.M., M.A.A.), Departments of Clinical Neurosciences and Radiology, University of Calgary, Calgary, Alberta, Canada
- Department of Community Health Sciences (A.A., M.D.H., B.K.M., M.A.A.), University of Calgary, Calgary, Alberta, Canada
| | - D Toni
- Emergency Department (D.T.), Stroke Unit, Sapienza University Hospital, Rome, Italy
| | - S Murphy
- Department of Geriatric and Stroke Medicine (S. Murphy), The Mater Misericordiae University Hospital, Dublin, Ireland
- School of Medicine (S. Murphy), Royal College of Surgeons in Ireland, Dublin, Ireland
- School of Medicine (S. Murphy), University College Dublin, Dublin, Ireland
| | - B K Menon
- From the Calgary Stroke Program (F.B., M.N., M.G., A.D., M.D.H., B.K.M., M.A.A.), Departments of Clinical Neurosciences and Radiology, University of Calgary, Calgary, Alberta, Canada
- Department of Community Health Sciences (A.A., M.D.H., B.K.M., M.A.A.), University of Calgary, Calgary, Alberta, Canada
| | - M A Almekhlafi
- From the Calgary Stroke Program (F.B., M.N., M.G., A.D., M.D.H., B.K.M., M.A.A.), Departments of Clinical Neurosciences and Radiology, University of Calgary, Calgary, Alberta, Canada
- Department of Community Health Sciences (A.A., M.D.H., B.K.M., M.A.A.), University of Calgary, Calgary, Alberta, Canada
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11
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Abdalkader M, Siegler JE, Lee JS, Yaghi S, Qiu Z, Huo X, Miao Z, Campbell BC, Nguyen TN. Neuroimaging of Acute Ischemic Stroke: Multimodal Imaging Approach for Acute Endovascular Therapy. J Stroke 2023; 25:55-71. [PMID: 36746380 PMCID: PMC9911849 DOI: 10.5853/jos.2022.03286] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Revised: 12/19/2022] [Accepted: 01/04/2023] [Indexed: 02/04/2023] Open
Abstract
Advances in acute ischemic stroke (AIS) treatment have been contingent on innovations in neuroimaging. Neuroimaging plays a pivotal role in the diagnosis and prognosis of ischemic stroke and large vessel occlusion, enabling triage decisions in the emergent care of the stroke patient. Current imaging protocols for acute stroke are dependent on the available resources and clinicians' preferences and experiences. In addition, differential application of neuroimaging in medical decision-making, and the rapidly growing evidence to support varying paradigms have outpaced guideline-based recommendations for selecting patients to receive intravenous or endovascular treatment. In this review, we aimed to discuss the various imaging modalities and approaches used in the diagnosis and treatment of AIS.
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Affiliation(s)
| | - James E. Siegler
- Cooper Neurological Institute, Cooper University Hospital, Camden, NJ, USA
| | - Jin Soo Lee
- Department of Neurology, Ajou University Hospital, Ajou University School of Medicine, Suwon, Korea
| | - Shadi Yaghi
- Department of Neurology, Brown University, Providence, RI, USA
| | - Zhongming Qiu
- Department of Neurology, The 903rd Hospital of The Chinese People’s Liberation Army, Hangzhou, China
| | - Xiaochuan Huo
- Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Zhongrong Miao
- Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Bruce C.V. Campbell
- Department of Medicine and Neurology, Melbourne Brain Centre at the Royal Melbourne Hospital, University of Melbourne, Parkville, Victoria, Australia
| | - Thanh N. Nguyen
- Department of Radiology, Boston Medical Center, Boston, MA, USA
- Department of Neurology, Boston Medical Center, Boston, MA, USA
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