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Karamchandani RR, Yang H, Teli KJ, Strong D, Rhoten JB, Clemente JD, Defilipp G, Patel NM, Bernard JD, Stetler WR, Parish JM, Hines AU, Patel ST, Patel HN, Guzik AK, Wolfe SQ, Helms AM, Macko L, Williams L, Retelski J, Asimos AW. Long-term functional outcomes for elderly patients treated with endovascular thrombectomy. Interv Neuroradiol 2025:15910199251332407. [PMID: 40232303 PMCID: PMC11999982 DOI: 10.1177/15910199251332407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2025] [Accepted: 03/17/2025] [Indexed: 04/16/2025] Open
Abstract
BackgroundFunctional outcomes in elderly thrombectomy patients have been commonly reported up to 90 days, though long-term neurological status is not as well characterized. We studied 1-year outcomes in patients ≥ 80 years old and identified predictors of functional independence in elderly patients.MethodsRetrospective analysis of anterior circulation thrombectomy patients presenting from November 2016-August 2023 to a large health system. The primary outcome was 1-year modified Rankin Scale score (mRS) 0-2. Outcomes were compared between patients ≥ 80 and < 80 years old. Logistic regression was performed to identify predictors of 1-year functional independence in the elderly.Results957 patients were included, 220 (23%) of whom were ≥ 80 years old. A significantly lower proportion of patients ≥ 80 years old, compared to < 80 years, were functionally independent at 1-year (18.6% versus 45.9%, p < 0.001). In the elderly, predictors of functional independence included age (odds ratio (OR) 0.83, 95% confidence interval (CI) 0.74-0.93, p = 0.002), premorbid mRS score (OR 0.51, 95% CI 0.29-0.88, p = 0.016), presenting National Institutes of Health Stroke Scale score (OR 0.93, 95% CI 0.87-0.995, p = 0.035), cerebral blood volume index (OR 50.7, 95% CI 2.8-935, p = 0.008), and first-pass recanalization (OR 2.77, 95% CI 1.20-6.38, p = 0.017).ConclusionElderly thrombectomy patients had lower rates of functional independence at 1-year, though these are similar to previously reported rates at 90-days in octogenarians and nonagenarians. Factors associated with good outcomes in the elderly, including collateral status and single-pass revascularization, may be prognostically informative beyond the 90-day time window.
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Affiliation(s)
| | - Hongmei Yang
- Information and Analytics Services, Atrium Health, Charlotte, NC, USA
| | - Katelynn J Teli
- Department of Neurology, Neurosciences Institute, Atrium Health, Charlotte, NC, USA
| | - Dale Strong
- Information and Analytics Services, Atrium Health, Charlotte, NC, USA
| | - Jeremy B Rhoten
- Department of Neurology, Neurosciences Institute, Atrium Health, Charlotte, NC, USA
| | - Jonathan D Clemente
- Charlotte Radiology, Neurosciences Institute, Atrium Health, Charlotte, NC, USA
| | - Gary Defilipp
- Charlotte Radiology, Neurosciences Institute, Atrium Health, Charlotte, NC, USA
| | - Nikhil M Patel
- Department of Internal Medicine, Pulmonary and Critical Care, Neurosciences Institute, Atrium Health, Charlotte, NC, USA
| | - Joe D Bernard
- Carolina Neurosurgery and Spine Associates, Neurosciences Institute, Atrium Health, Charlotte, NC, USA
| | - William R Stetler
- Carolina Neurosurgery and Spine Associates, Neurosciences Institute, Atrium Health, Charlotte, NC, USA
| | - Jonathan M Parish
- Carolina Neurosurgery and Spine Associates, Neurosciences Institute, Atrium Health, Charlotte, NC, USA
| | - Andrew U Hines
- Charlotte Radiology, Neurosciences Institute, Atrium Health, Charlotte, NC, USA
| | - Shraddha T Patel
- Department of Neurology, Neurosciences Institute, Atrium Health, Charlotte, NC, USA
| | - Harsh N Patel
- Department of Neurology, Neurosciences Institute, Atrium Health, Charlotte, NC, USA
| | - Amy K Guzik
- Department of Neurology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Stacey Q Wolfe
- Department of Neurological Surgery, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Anna Maria Helms
- Department of Neurology, Neurosciences Institute, Atrium Health, Charlotte, NC, USA
| | - Lauren Macko
- Department of Neurology, Neurosciences Institute, Atrium Health, Charlotte, NC, USA
| | - Laura Williams
- Department of Neurology, Neurosciences Institute, Atrium Health, Charlotte, NC, USA
| | - Julia Retelski
- Department of Neurology, Neurosciences Institute, Atrium Health, Charlotte, NC, USA
| | - Andrew W Asimos
- Department of Emergency Medicine, Neurosciences Institute, Atrium Health, Charlotte, NC, USA
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2
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Zhang X, Li Y, Yin K, Hao Z, Fu Y, Yang Q, Xu G, Lv P. Endovascular recanalization of symptomatic chronic cerebral artery occlusion: predictors for successful recanalization and perioperative complications. Front Neurol 2025; 16:1453841. [PMID: 40291848 PMCID: PMC12021629 DOI: 10.3389/fneur.2025.1453841] [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: 07/23/2024] [Accepted: 03/21/2025] [Indexed: 04/30/2025] Open
Abstract
Background and purpose Endovascular recanalization and stenting has been used to treat patients with symptomatic chronic cerebral artery occlusion, including intracranial vertebrobasilar artery occlusion and internal carotid artery occlusion. Our challenge is to improve success rates and reduce the incidence of postoperative complications. This study sought to identify potential predictors for successful recanalization. Methods Our study included 103 consecutive patients between February 2021 and October 2024 with symptomatic chronic cerebral artery occlusion who were treated with endovascular recanalization. We recorded clinical information, laboratory and examination results, radiologic characteristics and procedural results of patients. Factors affecting surgical outcomes were analyzed by univariate and multivariate analyses. Results A total of 103 consecutive CCAO recanalization attempts were performed from February 2021 to October 2024 in 103 patients (78 men; age 61.1 ± 11.1 years; range: 32-81 years) with overall technical success rate 68.9%. Patients had chronic comorbidities such as hypertension (78, 75.7%), diabetes mellitus (32, 31.10%), and cardiac disease (12, 11.7%). 38 (36.9%) had a history of smoking, and 23 (22.3%) had a history of drinking. The rate of overall intraoperative complication was 10.7% (11/103). Multivariate analysis showed that stump morphology, smoking history, duration from last neurologic event (longer than 6 months or not), age, NLR were significantly associated with successful recanalization. According to the coefficients of the prediction model, the technical success rates were 100, 66.7 and 11.1% in patients with ≤6, 6-10, ≥10 points, respectively. Conclusion The morphology of occluded stumps, duration from last neurologic event, age, smoking history and NLR can be used to predict the outcome of vascular recanalization.
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Affiliation(s)
- Xueqian Zhang
- Department of Neurology, Hebei Medical University, Shijiazhuang, China
- Department of Neurology, Hebei General Hospital, Shijiazhuang, China
- Hebei Provincial Key Laboratory of Cerebral Networks and Cognitive Disorders, Shijiazhuang, China
| | - Yang Li
- Department of Staff Hospital, Hebei Normal University, Shijiazhuang, China
| | - Kuochang Yin
- Department of Neurology, Hebei Medical University, Shijiazhuang, China
- Department of Neurology, Hebei General Hospital, Shijiazhuang, China
- Hebei Provincial Key Laboratory of Cerebral Networks and Cognitive Disorders, Shijiazhuang, China
| | - Zhiwei Hao
- Department of Neurology, Graduate School of Hebei North University, Zhangjiakou, China
| | - Yidian Fu
- Department of Neurology, Hebei Medical University, Shijiazhuang, China
| | - Qishuo Yang
- Department of Neurology, Graduate School of Hebei North University, Zhangjiakou, China
| | - Guodong Xu
- Department of Neurology, Hebei Medical University, Shijiazhuang, China
- Department of Neurology, Hebei General Hospital, Shijiazhuang, China
- Hebei Provincial Key Laboratory of Cerebral Networks and Cognitive Disorders, Shijiazhuang, China
| | - Peiyuan Lv
- Department of Neurology, Hebei Medical University, Shijiazhuang, China
- Department of Neurology, Hebei General Hospital, Shijiazhuang, China
- Hebei Provincial Key Laboratory of Cerebral Networks and Cognitive Disorders, Shijiazhuang, China
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Lin L, Liu F, Yi T, Zhu Y, Yang J, Zhao Y, Wang F, Xiang G, Chen C, Xiao Y, Shen H, Xu L, Long Y, Zhang Y, Huang Z, Chen C, Churilov L, Parsons MW, Chen W, Li G. Tirofiban on First-Pass Recanalization in Acute Stroke Endovascular Thrombectomy: The OPTIMISTIC Randomized Clinical Trial. JAMA Netw Open 2025; 8:e255308. [PMID: 40244586 PMCID: PMC12006867 DOI: 10.1001/jamanetworkopen.2025.5308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2024] [Accepted: 02/12/2025] [Indexed: 04/18/2025] Open
Abstract
Importance Tirofiban is a nonpeptide antagonist of the glycoprotein IIb/IIIa receptor that inhibits platelet aggregation selectively. Despite widespread use in acute ischemic stroke in conjunction with endovascular treatment, the role of tirofiban is uncertain. Objective To assess whether intravenous tirofiban initiated before endovascular thrombectomy improves thrombectomy outcomes by achieving first-pass recanalization without intracranial hemorrhagic risk. Design, Setting, and Participants This was a multicenter, prospective, open-label, blinded, end point phase 2 randomized clinical trial that enrolled patients from 7 Chinese hospital stroke centers between April 30, 2021, and July 16, 2023. Eligible patients were aged 18 to 85 years with large vessel occlusion (internal carotid artery or M1 or M2 segment of middle cerebral artery) and were considered for endovascular thrombectomy within 24 hours of ischemic stroke onset or last known well time. Patients with a history of atrial fibrillation or treated with intravenous thrombolysis were excluded. Intervention Patients were randomly assigned (1:1) to intravenous tirofiban (10 μg/kg bolus plus 0.1 μg/kg per minute infusion for 24 hours) or standard care before endovascular thrombectomy using a web-based, computer-generated randomization procedure. Main Outcomes and Measures The primary outcome was the proportion of patients achieving first-pass recanalization without symptomatic intracranial hemorrhage. First-pass recanalization was assessed by reviewers blinded to treatment allocation and predefined as successful recanalization of a targeted vessel after a single pass of thrombectomy. The primary outcome was analyzed by modified Poisson regression with robust error estimation, adjusting for time from onset or last known well time to randomization and vessel occlusion site. Results Among 200 patients randomized (median age, 66 years [IQR, 58-72 years]; 146 male [73%]), 102 were allocated to receive intravenous tirofiban, and 98 were allocated to receive standard care before endovascular thrombectomy. In the intention-to-treat analysis, 64 of 99 patients receiving tirofiban (65%) and 46 of 95 control patients (48%) achieved the primary outcome of first-pass recanalization without symptomatic intracranial hemorrhage (adjusted risk ratio, 1.34 [95% CI, 1.04-1.73]; P = .03). Incidence of symptomatic intracranial hemorrhage was 0% (0 of 101 patients) in the tirofiban group vs 6% (6 of 98 patients) in the control group (unadjusted risk difference, -0.06 [95% CI, -0.11 to -0.01]). Conclusions and Relevance In this randomized clinical trial of patients who had acute ischemic stroke with no history of atrial fibrillation and no prior intravenous thrombolysis, intravenous tirofiban administered before endovascular thrombectomy increased the likelihood of first-pass recanalization without symptomatic intracranial hemorrhage. These findings suggest that neurointerventionalists may consider this pre-procedure antiplatelet treatment to facilitate endovascular thrombectomy. Trial Registration ClinicalTrials.gov Identifier: NCT04851457.
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Affiliation(s)
- Longting Lin
- Department of Neurology, Shanghai East Hospital, Tongji University School of Medicine, Tongji University, Shanghai, China
- Sino-Australian Neurological Clinical Research Cooperation Centre, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China
- South Western Sydney Clinical Campuses, University of New South Wales and Ingham Institute for Applied Medical Research, Sydney, New South Wales Australia
| | - Feifeng Liu
- Department of Neurology, Shanghai East Hospital, Tongji University School of Medicine, Tongji University, Shanghai, China
- Sino-Australian Neurological Clinical Research Cooperation Centre, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Tingyu Yi
- Department of Neurointervention, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou Municipal Hospital, Fujian, China
| | - Yueqi Zhu
- Department of Radiology, Shanghai Sixth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jianhong Yang
- Department of Neurology, The First Affiliated Hospital of Ningbo University, Zhejiang, China
| | - Yanxin Zhao
- Department of Neurology, Central Hospital, Shandong First Medical University, Shandong, China
| | - Feng Wang
- Department of Neurology, Seventh People’s Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Guangyu Xiang
- Comprehensive Stroke Centre, Xuchang Central Hospital, Henan, China
| | - Chen Chen
- Department of Neurology, Shanghai East Hospital, Tongji University School of Medicine, Tongji University, Shanghai, China
- Sino-Australian Neurological Clinical Research Cooperation Centre, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Yaping Xiao
- Department of Neurology, Shanghai East Hospital, Tongji University School of Medicine, Tongji University, Shanghai, China
| | - Hao Shen
- Department of Neurology, Shanghai East Hospital, Tongji University School of Medicine, Tongji University, Shanghai, China
| | - Luran Xu
- Department of Neurology, Shanghai East Hospital, Tongji University School of Medicine, Tongji University, Shanghai, China
| | - Yuming Long
- Department of Neurology, Shanghai East Hospital, Tongji University School of Medicine, Tongji University, Shanghai, China
| | - Yue Zhang
- Department of Neurology, Shanghai East Hospital, Tongji University School of Medicine, Tongji University, Shanghai, China
| | - Zhengyu Huang
- Department of Neurology, Shanghai East Hospital, Tongji University School of Medicine, Tongji University, Shanghai, China
| | - Chushuang Chen
- South Western Sydney Clinical Campuses, University of New South Wales and Ingham Institute for Applied Medical Research, Sydney, New South Wales Australia
| | - Leonid Churilov
- Department of Medicine, University of Melbourne, Melbourne, Victoria, Australia
| | - Mark W. Parsons
- South Western Sydney Clinical Campuses, University of New South Wales and Ingham Institute for Applied Medical Research, Sydney, New South Wales Australia
- Department of Medicine, University of Melbourne, Melbourne, Victoria, Australia
- Department of Neurology, Liverpool Hospital, Liverpool, New South Wales, Australia
| | - Wenhuo Chen
- Department of Neurointervention, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou Municipal Hospital, Fujian, China
- Department of Neurointervention, Zhangzhou Affiliated Hospital of Fujian Medical University, Fujian Medical University Union Hospital, Fujian, China
| | - Gang Li
- Department of Neurology, Shanghai East Hospital, Tongji University School of Medicine, Tongji University, Shanghai, China
- Sino-Australian Neurological Clinical Research Cooperation Centre, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China
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Hoffman H, Miralbes S, Naravetla B, Spiotta AM, Loehr C, Martínez-Galdámez M, McTaggart RA, Defreyne L, Vega P, Zaidat OO, Price LL, Liebeskind DS, Möhlenbruch MA, Gupta R, Goyal N. First pass effect in patients with large core infarcts undergoing mechanical thrombectomy: subgroup analysis of the prospective international ASSIST registry. J Neurointerv Surg 2025:jnis-2024-022532. [PMID: 39778929 DOI: 10.1136/jnis-2024-022532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2024] [Accepted: 12/06/2024] [Indexed: 01/11/2025]
Abstract
BACKGROUND Studies have described a first pass effect (FPE) where patients with successful recanalization after one pass experience better outcomes. Few studies have evaluated this in patients with large core infarctions. OBJECTIVE To determine whether patients with large core infarcts undergoing mechanical thrombectomy in which first pass reperfusion is achieved experience improved outcomes compared with those who undergo more than one pass. METHODS The ASSIST Registry, a prospective, global, multicenter registry of patients with anterior circulation large vessel occlusion (LVO) undergoing mechanical thrombectomy was used. Adults with internal carotid artery/M1/M2 occlusions and preprocedural Alberta Stroke Program Early CT Score (ASPECTS) <6 were included. The variable of interest was number of thrombectomy passes (dichotomized to 1 or >1) performed for the target occlusion. The primary outcome was 90-day good functional outcome defined as modified Rankin Scale (mRS) score 0-3. RESULTS 150 patients with a mean age of 66 years were included. Most patients had ASPECTS of 4 (33%) or 5 (59%). 77 patients (51%) underwent one pass. Compared with patients with one pass, those with more than one pass had significantly lower odds of good functional outcome (OR=0.44, 95% CI 0.21 to 0.93; P=0.03). More than one pass was not significantly associated with 90-day mRS score 0-2 (OR=0.46, 95% CI 0.15 to 1.43; P=0.17) or mortality (OR=2.03, 95% CI 0.81 to 5.08; P=0.13). FPE (one pass eTICI≥2c) and modified FPE (one pass extended thrombolysis in cerebral infarction ≥2b50) were not significantly associated with 90-day mRS 0-3, mortality, or symptomatic intracranial hemorrhage. CONCLUSION This analysis suggests that use of multiple passes is associated with worse outcomes in patients with large core infarcts.
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Affiliation(s)
- Haydn Hoffman
- Department of Neurosurgery, Semmes-Murphey Neurologic and Spine Institute, Memphis, Tennessee, USA
| | - Salvador Miralbes
- Department of Neuroradiology, Hospital Universitari Son Espases, Palma de Mallorca, Spain
| | | | - Alejandro M Spiotta
- Department of Neurosurgery, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Christian Loehr
- Department of Radiology and Neuroradiology, Klinikum Vest GmbH, Recklinghausen, Germany
| | - Mario Martínez-Galdámez
- Department of Interventional Neuroradiology/Endovascular Neurosurgery, Hospital Clínico Universitario de Valladolid, Valladolid, Spain
- Department of Interventional Neuroradiology, Hospital La Luz, Quironsalud, Madrid, Spain
| | | | - Luc Defreyne
- Department of Interventional Neuroradiology, University Hospital Ghent, Ghent, Belgium
| | - Pedro Vega
- Department of Radiology, Hospital Universitario Central de Asturias, Oviedo, Spain
| | - Osama O Zaidat
- Department of Neuroscience, St Vincent Mercy Hospital, Toledo, Ohio, USA
| | - Lori Lyn Price
- Department of Clinical Affairs, Stryker Neurovascular, Fremont, California, USA
| | | | | | - Rishi Gupta
- WellStar Medical Group, Marietta, Georgia, USA
| | - Nitin Goyal
- Semmes-Murphey Neurologic and Spine Institute, Memphis, Tennessee, USA
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5
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Cimflova P, Ospel JM, Singh N, Marko M, Kashani N, Mayank A, Demchuk A, Menon B, Poppe AY, Nogueira R, McTaggart R, Rempel JL, Tymianski M, Hill MD, Almekhlafi MA, Goyal M. Effects of reperfusion grade and reperfusion strategy on the clinical outcome: Insights from ESCAPE-NA1 trial. Interv Neuroradiol 2024; 30:804-811. [PMID: 39397754 PMCID: PMC11559916 DOI: 10.1177/15910199241288874] [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: 09/03/2024] [Accepted: 09/17/2024] [Indexed: 10/15/2024] Open
Abstract
BACKGROUND We evaluated the association of reperfusion quality and different patterns of achieved reperfusion with clinical and radiological outcomes in the ESCAPE NA1 trial. METHODS Data are from the ESCAPE-NA1 trial. Good clinical outcome [90-day modified Rankin Scale (mRS) 0-2], excellent outcome (90-day mRS0-1), isolated subarachnoid hemorrhage, symptomatic hemorrhage (sICH) on follow-up imaging, and death were compared across different levels of reperfusion defined by expanded Treatment in Cerebral Infarction (eTICI) Scale. Comparisons were also made between patients with (a) first-pass eTICI 2c3 reperfusion vs multiple-pass eTICI 2c3; (b) final eTICI 2b reperfusion vs eTICI 2b converted-to-eTICI 2c3; (c) sudden reperfusion vs gradual reperfusion if >1 pass was required. Multivariable logistic regression was used to test associations of reperfusion grade and clinical outcomes. RESULTS Of 1037 included patients, final eTICI 0-1 was achieved in 46 (4.4%), eTICI 2a in 76 (7.3%), eTICI 2b in 424 (40.9%), eTICI 2c in 284 (27.4%), and eTICI 3 in 207 (20%) patients. The odds for good and excellent clinical outcome gradually increased with improved reperfusion grades (adjOR ranging from 5.7-29.3 and 4.3-17.6) and decreased for sICH and death. No differences in outcomes between first-pass versus multiple-pass eTICI 2c3, eTICI 2b converted-to-eTICI 2c3 versus unchanged eTICI 2b and between sudden versus gradual eTICI 2c3 reperfusion were observed. CONCLUSION Better reperfusion degrees significantly improved clinical outcomes and reduced mortality, independent of the number of passes and whether eTICI 2c3 was achieved suddenly or gradually.
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Affiliation(s)
- Petra Cimflova
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
- Department of Radiology, University of Calgary, Calgary, Alberta, Canada
- Department of Medical Imaging, St. Anne's University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic
- Department of Diagnostic and Interventional Neuroradiology, Inselspital, University Hospital Bern, Bern, Switzerland
| | - Johanna M Ospel
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
- Department of Radiology, University of Calgary, Calgary, Alberta, Canada
| | - Nishita Singh
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
- Department of Internal Medicine-Neurology Division, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Martha Marko
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Nima Kashani
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
- Department of Radiology, Rady Faculty of Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Arnuv Mayank
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
| | - Andrew Demchuk
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
- Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Bijoy Menon
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
- Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Alexandre Y Poppe
- Centre Hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
| | - Raul Nogueira
- UPMC Stroke Institute, Department of Neurology and Neurosurgery, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Ryan McTaggart
- Warren Alpert School of Medicine, Brown University, Providence, RI, USA
| | | | | | - Michael D Hill
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
- Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Mohammed A Almekhlafi
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
- Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Mayank Goyal
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
- Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
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6
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Wali AR, Sindewald RW, Brandel MG, Bravo J, Steinberg JA, Pannell JS, Khalessi AA, Santiago-Dieppa DR. Optimizing suction force in mechanical thrombectomy: Priming the aspiration tubing with air versus saline. J Cerebrovasc Endovasc Neurosurg 2024; 26:260-264. [PMID: 38403576 PMCID: PMC11449539 DOI: 10.7461/jcen.2024.e2023.09.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 12/07/2023] [Accepted: 01/29/2024] [Indexed: 02/27/2024] Open
Abstract
OBJECTIVE We sought to investigate how priming the tube between air versus air mixed with saline ex vivo influenced suction force. We examined how priming the tube influenced peak suction force and time to achieve peak suction force between both modalities. METHODS Using a Dwyer Instruments (Dwyer Instruments Inc., Michigan City, IN, USA), INC Digitial Pressure Gauge, we were able to connect a .072 inch aspiration catheter to a rotating hemostatic valve and to aspiration tubing. We recorded suction force measured in negative inches of Mercury (inHg) over 10 iterations between having the aspiration tube primed with air alone versus air mixed with saline. A test was used to compare results between both modalities. RESULTS Priming the tube with air alone compared to air mixed with saline was found to have an increased average max suction force (-28.60 versus -28.20 in HG, p<0.01). We also identified a logarithmic curve of suction force across time in which time to maximal suction force was more prompt with air compared with air mixed with saline (13.8 seconds versus 21.60 seconds, p<0.01). CONCLUSIONS Priming the tube with air compared to air mixed with saline suggests that not only is increased maximal suction force achieved, but also the time required to achieve maximal suction force is less. This data suggests against priming the aspiration tubing with saline and suggests that the first pass aspiration primed with air may have the greatest suction force.
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Affiliation(s)
- Arvin R. Wali
- Department of Neurological Surgery, University of California, San Diego, USA
| | - Ryan W. Sindewald
- Department of Neurological Surgery, University of California, San Diego, USA
| | - Michael G. Brandel
- Department of Neurological Surgery, University of California, San Diego, USA
| | - Javier Bravo
- Department of General Surgery, University of California, San Diego, USA
| | | | - J. Scott Pannell
- Department of Neurological Surgery, University of California, San Diego, USA
| | | | - David R. Santiago-Dieppa
- Department of Neurological Surgery, University of California, San Diego, USA
- Program in Materials Science and Engineering, University of California, San Diego, USA
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7
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Brissette V, Roy DC, Jamal M, Fahmy M, Guenego A, Fahed J, Shamy M, Dowlatshahi D, Fahed R. Benefits of First Pass Recanalization in Basilar Strokes Based on Initial Clinical Severity. Clin Neuroradiol 2024; 34:555-562. [PMID: 38386052 DOI: 10.1007/s00062-024-01392-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Accepted: 01/24/2024] [Indexed: 02/23/2024]
Abstract
PURPOSE Randomized trials demonstrating the benefits of thrombectomy for basilar artery occlusions have enrolled an insufficient number of patients with a National Institutes for Health Stroke Scale (NIHSS) score < 10 and shown discrepant results for patients with an NIHSS > 20. Achieving a first pass recanalization (FPR) improves clinical outcomes in stroke. We aimed to evaluate the effect of the FPR on outcomes among basilar artery occlusion patients, characterized by prethrombectomy initial NIHSS score. METHODS We retrospectively analyzed the Endovascular Treatment in Ischemic Stroke (ETIS) registry of 279 basilar artery occlusion patients treated with thrombectomy from 6 participating centers. We compared the 90-day clinical outcomes of achieving a FPR versus no FPR, categorized by initial clinical severity: mild (NIHSS < 10), moderate (NIHSS 10-20) and severe (NIHSS > 20). We used Poisson regression with robust error variance to determine the effect of the NIHSS score on the association between FPR and outcomes. RESULTS The FPR patients with NIHSS < 10 or NIHSS 10-20 were more likely to have a favorable clinical outcome (modified Rankin scale, mRS 0-3) than non-FPR patients (relative risk, RR = 1.32, 95% confidence interval, CI: 1.04, 1.66, p-value = 0.0213, and RR = 1.79, 95% CI: 1.26, 2.53, p-value = 0.0011, respectively). A similar benefit was not found in patients with severe symptoms. We found a significantly lower risk of poor clinical outcome (mRS 4-6) in FPR patients with NIHSS 10-20, but not among patients with an NIHSS > 20. CONCLUSION Achieving a FPR in basilar artery occlusion patients with mild (NIHSS < 10) or moderate (NIHSS 10-20) symptoms is associated with better clinical outcomes, but not in patients with severe symptoms. These results support the importance of further clinical trials on the benefits of thrombectomy in severe strokes.
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Affiliation(s)
- Vincent Brissette
- Department of Medicine (Neurology), Department of Medicine, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Danielle Carole Roy
- School of Epidemiology and Public Health, Faculty of Medicine, Ottawa, Ontario, Canada
| | - Mobin Jamal
- Department of Medicine (Neurology), Department of Medicine, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Maria Fahmy
- Department of Medicine (Neurology), Department of Medicine, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
- School of Medicine, University College Dublin, Dublin, Ireland
| | - Adrien Guenego
- Interventional Neuroradiology, Erasme Hospital, Brussels, Belgium
| | - Joud Fahed
- Department of Medicine (Neurology), Department of Medicine, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Michel Shamy
- Department of Medicine (Neurology), Department of Medicine, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Dar Dowlatshahi
- Department of Medicine (Neurology), Department of Medicine, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
- School of Epidemiology and Public Health, Faculty of Medicine, Ottawa, Ontario, Canada
| | - Robert Fahed
- Department of Medicine (Neurology), Department of Medicine, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
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Zhang H, Polson JS, Wang Z, Nael K, Rao NM, Speier WF, Arnold CW. A Deep Learning Approach to Predict Recanalization First-Pass Effect following Mechanical Thrombectomy in Patients with Acute Ischemic Stroke. AJNR Am J Neuroradiol 2024; 45:1044-1052. [PMID: 38871371 PMCID: PMC11383407 DOI: 10.3174/ajnr.a8272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 03/01/2024] [Indexed: 06/15/2024]
Abstract
BACKGROUND AND PURPOSE Following endovascular thrombectomy in patients with large-vessel occlusion stroke, successful recanalization from 1 attempt, known as the first-pass effect, has correlated favorably with long-term outcomes. Pretreatment imaging may contain information that can be used to predict the first-pass effect. Recently, applications of machine learning models have shown promising results in predicting recanalization outcomes, albeit requiring manual segmentation. In this study, we sought to construct completely automated methods using deep learning to predict the first-pass effect from pretreatment CT and MR imaging. MATERIALS AND METHODS Our models were developed and evaluated using a cohort of 326 patients who underwent endovascular thrombectomy at UCLA Ronald Reagan Medical Center from 2014 to 2021. We designed a hybrid transformer model with nonlocal and cross-attention modules to predict the first-pass effect on MR imaging and CT series. RESULTS The proposed method achieved a mean 0.8506 (SD, 0.0712) for cross-validation receiver operating characteristic area under the curve (ROC-AUC) on MR imaging and 0.8719 (SD, 0.0831) for cross-validation ROC-AUC on CT. When evaluated on the prospective test sets, our proposed model achieved a mean ROC-AUC of 0.7967 (SD, 0.0335) with a mean sensitivity of 0.7286 (SD, 0.1849) and specificity of 0.8462 (SD, 0.1216) for MR imaging and a mean ROC-AUC of 0.8051 (SD, 0.0377) with a mean sensitivity of 0.8615 (SD, 0.1131) and specificity 0.7500 (SD, 0.1054) for CT, respectively, representing the first classification of the first-pass effect from MR imaging alone and the first automated first-pass effect classification method in CT. CONCLUSIONS Results illustrate that both nonperfusion MR imaging and CT from admission contain signals that can predict a successful first-pass effect following endovascular thrombectomy using our deep learning methods without requiring time-intensive manual segmentation.
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Affiliation(s)
- Haoyue Zhang
- From the Computational Diagnostics Lab (H.Z., J.S.P., Z.W., W.F.S., C.W.A.), University of California, Los Angeles, California
- Department of Bioengineering (H.Z., J.S.P., Z.W., C.W.A.), University of California, Los Angeles, California
| | - Jennifer S Polson
- From the Computational Diagnostics Lab (H.Z., J.S.P., Z.W., W.F.S., C.W.A.), University of California, Los Angeles, California
- Department of Bioengineering (H.Z., J.S.P., Z.W., C.W.A.), University of California, Los Angeles, California
| | - Zichen Wang
- From the Computational Diagnostics Lab (H.Z., J.S.P., Z.W., W.F.S., C.W.A.), University of California, Los Angeles, California
- Department of Bioengineering (H.Z., J.S.P., Z.W., C.W.A.), University of California, Los Angeles, California
| | - Kambiz Nael
- Department of Radiology (K.N., W.F.S., C.W.A.), University of California, Los Angeles, California
| | - Neal M Rao
- Department of Neurology (N.M.R.), University of California, Los Angeles, California
| | - William F Speier
- From the Computational Diagnostics Lab (H.Z., J.S.P., Z.W., W.F.S., C.W.A.), University of California, Los Angeles, California
- Department of Radiology (K.N., W.F.S., C.W.A.), University of California, Los Angeles, California
| | - Corey W Arnold
- From the Computational Diagnostics Lab (H.Z., J.S.P., Z.W., W.F.S., C.W.A.), University of California, Los Angeles, California
- Department of Bioengineering (H.Z., J.S.P., Z.W., C.W.A.), University of California, Los Angeles, California
- Department of Radiology (K.N., W.F.S., C.W.A.), University of California, Los Angeles, California
- Department of Pathology (C.W.A.), University of California, Los Angeles, California
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9
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Hofmeister J, Brina O, Bernava G, Rosi A, Reymond P, Lovblad KO, Machi P. Double Stent Retriever Technique for Mechanical Thrombectomy: A Systematic Review and Meta-Analysis. AJNR Am J Neuroradiol 2024; 45:1031-1037. [PMID: 38521091 PMCID: PMC11383395 DOI: 10.3174/ajnr.a8253] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Accepted: 03/20/2024] [Indexed: 03/25/2024]
Abstract
BACKGROUND Mechanical thrombectomy using a double stent retriever technique has recently been described for the treatment of acute ischemic stroke, but its efficacy and safety are not well-established. PURPOSE The aim of this systematic review and meta-analysis was to evaluate reports of the use of a double stent retriever technique during the endovascular treatment of patients with ischemic stroke. DATA SOURCES The PubMed, EMBASE, Web of Science, and Scopus databases were searched to identify all studies (clinical trials, cohort series, and case reports) investigating the utility of a double stent retriever technique for the treatment of stroke. The study is reported in accordance with PRISMA 2020 guidelines and was prospectively registered in PROSPERO (CRD42023482691). STUDY SELECTION Seventeen studies involving a total of 128 patients with large-vessel occlusions predominantly in the anterior circulation (93.0%) were identified. DATA ANALYSIS Outcomes of interest were the prevalence of successful recanalization (modified TICI ≥2b) and a first-pass effect following the double stent retriever technique as well as complications such as iatrogenic dissections and SAH. Data were pooled using a random effects model. DATA SYNTHESIS The double stent retriever technique was used as a rescue strategy in occlusions refractory to conventional endovascular treatment in 68.7% (88/128) of patients and as a first-line strategy in 31.3% (40/128) of patients. The double stent retriever technique achieved an overall final modified TICI ≥2b in 92.6% cases, with a first-pass effect of 76.6%. The complication rate remained low, with 0.37% dissection and 1.56% SAH. LIMITATIONS Limitations of the study include the following: 1) a large number of case reports or small series, 2) a meta-analysis of proportions with no statistical comparison with a control group, and 3) the lack of access to patient-level data. CONCLUSIONS Our findings suggest that double stent retriever thrombectomy may be safe and associated with good recanalization outcomes, but prospective comparative studies are needed to determine which patients may benefit from this endovascular procedure.
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Affiliation(s)
- Jeremy Hofmeister
- From the Department of Diagnostics (J.H., O.B., G.B., A.R., P.R., K.-O.L., P.M.), Diagnostic and Interventional Neuroradiology, Geneva University Hospitals, Geneva, Switzerland
- Brain Endovascular Therapeutics Research and Development Lab (J.H., O.B., P.R., K.-O.L., P.M.), Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland
| | - Olivier Brina
- From the Department of Diagnostics (J.H., O.B., G.B., A.R., P.R., K.-O.L., P.M.), Diagnostic and Interventional Neuroradiology, Geneva University Hospitals, Geneva, Switzerland
- Brain Endovascular Therapeutics Research and Development Lab (J.H., O.B., P.R., K.-O.L., P.M.), Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland
| | - Gianmarco Bernava
- From the Department of Diagnostics (J.H., O.B., G.B., A.R., P.R., K.-O.L., P.M.), Diagnostic and Interventional Neuroradiology, Geneva University Hospitals, Geneva, Switzerland
| | - Andrea Rosi
- From the Department of Diagnostics (J.H., O.B., G.B., A.R., P.R., K.-O.L., P.M.), Diagnostic and Interventional Neuroradiology, Geneva University Hospitals, Geneva, Switzerland
| | - Philippe Reymond
- From the Department of Diagnostics (J.H., O.B., G.B., A.R., P.R., K.-O.L., P.M.), Diagnostic and Interventional Neuroradiology, Geneva University Hospitals, Geneva, Switzerland
- Brain Endovascular Therapeutics Research and Development Lab (J.H., O.B., P.R., K.-O.L., P.M.), Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland
| | - Karl-Olof Lovblad
- From the Department of Diagnostics (J.H., O.B., G.B., A.R., P.R., K.-O.L., P.M.), Diagnostic and Interventional Neuroradiology, Geneva University Hospitals, Geneva, Switzerland
- Brain Endovascular Therapeutics Research and Development Lab (J.H., O.B., P.R., K.-O.L., P.M.), Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland
| | - Paolo Machi
- From the Department of Diagnostics (J.H., O.B., G.B., A.R., P.R., K.-O.L., P.M.), Diagnostic and Interventional Neuroradiology, Geneva University Hospitals, Geneva, Switzerland
- Brain Endovascular Therapeutics Research and Development Lab (J.H., O.B., P.R., K.-O.L., P.M.), Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland
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10
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Sablić S, Dolić K, Budimir Mršić D, Čičmir-Vestić M, Matana A, Lovrić Kojundžić S, Marinović Guić M. Communicating Arteries and Leptomeningeal Collaterals: A Synergistic but Independent Effect on Patient Outcomes after Stroke. Neurol Int 2024; 16:620-630. [PMID: 38921950 PMCID: PMC11206870 DOI: 10.3390/neurolint16030046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Revised: 05/29/2024] [Accepted: 05/29/2024] [Indexed: 06/27/2024] Open
Abstract
The collateral system is a compensatory mechanism activated in the acute phase of an ischemic stroke. It increases brain perfusion to the hypoperfused area. Arteries of the Willis' circle supply antegrade blood flow, while pial (leptomeningeal) arteries direct blood via retrograde flow. The aim of our retrospective study was to investigate the relationship between both collateral systems, computed tomography perfusion (CTP) values, and functional outcomes in acute stroke patients. Overall, 158 patients with anterior circulation stroke who underwent mechanical thrombectomy were included in the study. We analyzed the presence of communicating arteries and leptomeningeal arteries on computed tomography angiography. Patients were divided into three groups according to their collateral status. The main outcomes were the rate of functional independence 3 months after stroke (modified Rankin scale score, mRS) and mortality rate. Our study suggests that the collateral status, as indicated by the three groups (unfavorable, intermediate, and favorable), is linked to CT perfusion parameters, potential recuperation ratio, and stroke outcomes. Patients with favorable collateral status exhibited smaller core infarct and penumbra volumes, higher mismatch ratios, better potential for recuperation, and improved functional outcomes compared to patients with unfavorable or intermediate collateral status.
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Affiliation(s)
- Sara Sablić
- Clinical Department of Diagnostic and Interventional Radiology, University Hospital of Split, 21000 Split, Croatia; (S.S.); (K.D.); (D.B.M.); (S.L.K.)
| | - Krešimir Dolić
- Clinical Department of Diagnostic and Interventional Radiology, University Hospital of Split, 21000 Split, Croatia; (S.S.); (K.D.); (D.B.M.); (S.L.K.)
- School of Medicine, University of Split, 21000 Split, Croatia
- University Department of Health Studies, University of Split, 21000 Split, Croatia;
| | - Danijela Budimir Mršić
- Clinical Department of Diagnostic and Interventional Radiology, University Hospital of Split, 21000 Split, Croatia; (S.S.); (K.D.); (D.B.M.); (S.L.K.)
- School of Medicine, University of Split, 21000 Split, Croatia
| | - Mate Čičmir-Vestić
- Department of Neurology, University Hospital of Split, 21000 Split, Croatia;
| | - Antonela Matana
- University Department of Health Studies, University of Split, 21000 Split, Croatia;
| | - Sanja Lovrić Kojundžić
- Clinical Department of Diagnostic and Interventional Radiology, University Hospital of Split, 21000 Split, Croatia; (S.S.); (K.D.); (D.B.M.); (S.L.K.)
- School of Medicine, University of Split, 21000 Split, Croatia
- University Department of Health Studies, University of Split, 21000 Split, Croatia;
| | - Maja Marinović Guić
- Clinical Department of Diagnostic and Interventional Radiology, University Hospital of Split, 21000 Split, Croatia; (S.S.); (K.D.); (D.B.M.); (S.L.K.)
- School of Medicine, University of Split, 21000 Split, Croatia
- University Department of Health Studies, University of Split, 21000 Split, Croatia;
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11
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Sadasivan C, Dashti N, Gopal M, Serna RJ, Fiorella D. The effect of actuation frequency on clot integration with the Tigertriever device: A preliminary in vitro study. Interv Neuroradiol 2024:15910199241247886. [PMID: 38629263 DOI: 10.1177/15910199241247886] [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: 08/09/2024] Open
Abstract
BACKGROUND The Tigertriever stent retriever (Rapid Medical) can be actively expanded and contracted by the operator, which allows for several actuation-related parameters to be optimized to potentially improve device efficacy. These parameters have not yet been evaluated. We conducted a benchtop study to evaluate the effect of actuation frequency on clot integration within the stent. METHODS A Tigertriever 17 device was deployed within a biological clot analog placed in a straight tube. The device was actuated between the maximally contracted and maximally expanded states with three different frequencies: passive (one-time opening, n = 6), slow (20 s/cycle, n = 6), and fast (5 s/cycle, n = 7). A flat-detector CT scan was acquired, the clot and stent wires were segmented, and the boundaries of the clot and stent wires were calculated on each axial slice. The intersection between the stent and clot boundaries throughout the volume was defined as the volume of clot integrated within the stent. The clot integration factor (ratio of integrated clot volume to total clot volume) was then statistically compared between the three frequencies as an estimate of clot capture efficiency. RESULTS The clot integration factor was significantly higher (23% increase, p = 0.01) with the fast actuation as compared to the passive and slow actuations, with a post hoc test showing no difference (p > 0.05) between the passive and slow groups. CONCLUSIONS Faster actuation frequencies may result in improved clot integration with the Tigertriever device. This effect needs to be validated by clinical data.
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Affiliation(s)
- Chander Sadasivan
- Department of Neurological Surgery, Stony Brook University, Stony Brook, NY, USA
| | - Nakisa Dashti
- Department of Neurological Surgery, Stony Brook University, Stony Brook, NY, USA
| | - Megha Gopal
- Department of Neurological Surgery, Stony Brook University, Stony Brook, NY, USA
| | - Rowan J Serna
- Department of Neurological Surgery, Stony Brook University, Stony Brook, NY, USA
| | - David Fiorella
- Department of Neurological Surgery, Stony Brook University, Stony Brook, NY, USA
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12
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Chen J, Huang C, Hong C, Ye L, Yao B. Regression analysis of bleeding factors and the correlation between FPE and NLR after mechanical thrombectomy for acute anterior circulation large vessel occlusion. Biotechnol Genet Eng Rev 2024; 40:692-703. [PMID: 36881001 DOI: 10.1080/02648725.2023.2186611] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Accepted: 02/25/2023] [Indexed: 03/08/2023]
Abstract
Acute anterior circulation large vessel occlusion refers to a blockage in the blood flow of one of the major blood vessels in the anterior (front) part of the brain. Acute anterior circulation large vessel occlusion can lead to a range of symptoms, including sudden headache, difficulty speaking or understanding speech, weakness or numbness on one side of the body and loss of vision in one eye. According to relevant data, mechanical thrombectomy in the treatment of the large vessel recanalization rate can reach 70%. However, hemorrhage is one of the serious complications after mechanical thrombectomy, and it is the main factor leading to the deterioration of neurological function and death of patients after large blood vessels. Therefore, the risk factors of bleeding in patients were analyzed before surgery, and effective prevention during and after surgery had positive significance for patients undergoing mechanical thrombectomy. This study uses regression analysis to analyze the correlation between bleeding factors and FPE and NLR after mechanical thrombectomy for acute anterior circulation large vessel occlusion. We retrospectively analyzed 81 patients with acute anterior circulation large vessel occlusion who underwent mechanical embolization in our hospital from September 2019 to January 2022 and separated them into a bleeding group (46 patients) and a non-bleeding group (35 patients) based on the presence or absence of bleeding after surgery.
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Affiliation(s)
- Jixing Chen
- Department of Neurology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China
| | - Cuiqin Huang
- Department of Neurology, Quanzhou Hospital of Traditional Chinese Medicine, Quanzhou, Fujian, China
| | - Chunzhan Hong
- Department of Neurology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China
| | - Lichao Ye
- Department of Neurology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China
| | - Boxin Yao
- Department of Neurology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China
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13
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Koo AB, Reeves BC, Renedo D, Maier IL, Al Kasab S, Jabbour P, Kim JT, Wolfe SQ, Rai A, Starke RM, Psychogios MN, Shaban A, Arthur A, Yoshimura S, Cuellar H, Grossberg JA, Alawieh A, Romano DG, Tanweer O, Mascitelli J, Fragata I, Polifka A, Osbun J, Crosa R, Park MS, Levitt MR, Brinjikji W, Moss M, Dumont T, Williamson R, Navia P, Kan P, Spiotta AM, Sheth KN, de Havenon A, Matouk CC. Impact of Procedure Time on First Pass Effect in Mechanical Thrombectomy for Anterior Circulation Acute Ischemic Stroke. Neurosurgery 2024:00006123-990000000-01086. [PMID: 38483158 DOI: 10.1227/neu.0000000000002900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 12/13/2023] [Indexed: 03/17/2024] Open
Abstract
BACKGROUND AND OBJECTIVES First pass effect (FPE) is a metric increasingly used to determine the success of mechanical thrombectomy (MT) procedures. However, few studies have investigated whether the duration of the procedure can modify the clinical benefit of FPE. We sought to determine whether FPE after MT for anterior circulation large vessel occlusion acute ischemic stroke is modified by procedural time (PT). METHODS A multicenter, international data set was retrospectively analyzed for anterior circulation large vessel occlusion acute ischemic stroke treated by MT who achieved excellent reperfusion (thrombolysis in cerebral infarction 2c/3). The primary outcome was good functional outcome defined by 90-day modified Rankin scale scores of 0-2. The primary study exposure was first pass success (FPS, 1 pass vs ≥2 passes) and the secondary exposure was PT. We fit-adjusted logistic regression models and used marginal effects to assess the interaction between PT (≤30 vs >30 minutes) and FPS, adjusting for potential confounders including time from stroke presentation. RESULTS A total of 1310 patients had excellent reperfusion. These patients were divided into 2 cohorts based on PT: ≤30 minutes (777 patients, 59.3%) and >30 minutes (533 patients, 40.7%). Good functional outcome was observed in 658 patients (50.2%). The interaction term between FPS and PT was significant ( P = .018). Individuals with FPS in ≤30 minutes had 11.5% higher adjusted predicted probability of good outcome compared with those who required ≥2 passes (58.2% vs 46.7%, P = .001). However, there was no significant difference in the adjusted predicted probability of good outcome in individuals with PT >30 minutes. This relationship appeared identical in models with PT treated as a continuous variable. CONCLUSION FPE is modified by PT, with the added clinical benefit lost in longer procedures greater than 30 minutes. A comprehensive metric for MT procedures, namely, FPE 30 , may better represent the ideal of fast, complete reperfusion with a single pass of a thrombectomy device.
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Affiliation(s)
- Andrew B Koo
- Department of Neurosurgery, Yale University, New Haven , Connecticut , USA
| | - Benjamin C Reeves
- Department of Neurosurgery, Yale University, New Haven , Connecticut , USA
| | - Daniela Renedo
- Department of Neurosurgery, Yale University, New Haven , Connecticut , USA
| | - Ilko L Maier
- Department of Neuroradiology, University Medical Center Göttingen, Göttingen , Germany
| | - Sami Al Kasab
- Department of Neurology and Neurosurgery, Medical University of South Carolina, Charleston , South Carolina , USA
| | - Pascal Jabbour
- Department of Neurosurgery, Thomas Jefferson University, Philadelphia , Pennsylvania , USA
| | - Joon-Tae Kim
- Department of Neurology, Chonnam National University Medical School, Chonnam National University Hospital, Gwangju , Korea
| | - Stacey Q Wolfe
- Department of Neurosurgery, Wake Forest School of Medicine, Winston-Salem , North Carolina , USA
| | - Ansaar Rai
- Department of Neuroradiology, West Virginia School of Medicine, Morgantown , West Virginia , USA
| | - Robert M Starke
- Department of Neurosurgery, University of Miami Health System, Miami , Florida , USA
| | - Marios-Nikos Psychogios
- Department of Diagnostic and Interventional Neuroradiology, University of Basel, Basel , Switzerland
| | - Amir Shaban
- Department of Neurology, The University of Iowa, Iowa City , Iowa , USA
| | - Adam Arthur
- Department of Neurosurgery, Semmes-Murphey Neurologic and Spine Clinic, University of Tennessee Health Science Center, Memphis , Tennessee , USA
| | - Shinichi Yoshimura
- Department of Neurosurgery, Hyogo College of Medicine, Nishinomiya , Hyogo , Japan
| | - Hugo Cuellar
- Department of Neurosurgery, Louisiana State University Health Shreveport, Shreveport , Louisiana , USA
| | | | - Ali Alawieh
- Department of Neurosurgery, Emory University, Atlanta , Georgia , USA
| | - Daniele G Romano
- Department of Radiology, Aou S. Giovanni di Dio e Ruggi d'Aragona, Salerno , Italy
| | - Omar Tanweer
- Department of Neurosurgery, Baylor College of Medicine, Houston , Texas , USA
| | - Justin Mascitelli
- Department of Neurosurgery, University of Texas Health Science Center at San Antonio, San Antonio , Texas , USA
| | - Isabel Fragata
- Department of Neuroradiology, Centro Hospitalar Universitario de Lisboa Central, Lisbon , Portugal
| | - Adam Polifka
- Department of Neurosurgery, University of Florida, Gainesville , Florida , USA
| | - Joshua Osbun
- Department of Neurosurgery, Washington University, St. Louis , Missouri , USA
| | - Roberto Crosa
- Department of Neurosurgery, Medica Uruguaya, Montevideo , Uruguay
| | - Min S Park
- Department of Neurosurgery, University of Virginia, Charlottesville , Virginia , USA
| | - Michael R Levitt
- Department of Neurosurgery, University of Washington, Seattle , Washington , USA
| | - Waleed Brinjikji
- Department of Radiology, Mayo Clinic in Minnesota, Rochester , Minnesota , USA
| | - Mark Moss
- Department of Interventional Neuroradiology, Washington Regional Medical Center, Fayetteville , Arkansas , USA
| | - Travis Dumont
- Department of Neurosurgery, University of Arizona, Tucson , Arizona , USA
| | - Richard Williamson
- Department of Neurosurgery, Allegheny Hospital, Pittsburgh , Pennsylvania , USA
| | - Pedro Navia
- Department of Interventional and Diagnostic Neuroradiology, Hospital Universitario La Paz, Madrid , Spain
| | - Peter Kan
- Department of Neurosurgery, University of Texas Medical Branch, Galveston , Texas , USA
| | - Alejandro M Spiotta
- Department of Neurology and Neurosurgery, Medical University of South Carolina, Charleston , South Carolina , USA
| | - Kevin N Sheth
- Department of Neurology, Yale University, New Haven , Connecticut , USA
| | - Adam de Havenon
- Department of Neurology, Yale University, New Haven , Connecticut , USA
| | - Charles C Matouk
- Department of Neurosurgery, Yale University, New Haven , Connecticut , USA
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14
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Radu RA, Costalat V, Fahed R, Ghozy S, Siegler JE, Shaikh H, Khalife J, Abdalkader M, Klein P, Nguyen TN, Heit JJ, Sweid A, El Naamani K, Regenhardt RW, Diestro JDB, Cancelliere NM, Amllay A, Meyer L, Dusart A, Bellante F, Forestier G, Rouchaud A, Saleme S, Mounayer C, Fiehler J, Kühn AL, Puri AS, Dyzmann C, Kan PT, Colasurdo M, Marnat G, Berge J, Barreau X, Sibon I, Nedelcu S, Henninger N, Kyheng M, Marotta TR, Stapleton CJ, Rabinov JD, Ota T, Dofuku S, Yeo LLL, Tan BYQ, Martinez-Gutierrez JC, Salazar-Marioni S, Sheth S, Renieri L, Capirossi C, Mowla A, Tjoumakaris SI, Jabbour P, Khandelwal P, Biswas A, Clarençon F, Elhorany M, Premat K, Valente I, Pedicelli A, Pedro Filipe J, Varela R, Quintero-Consuegra M, Gonzalez NR, Möhlenbruch MA, Jesser J, Tancredi I, ter Schiphorst A, Yedavalli V, Harker P, Chervak LM, Aziz Y, Gory B, Paul Stracke C, Hecker C, Killer-Oberpfalzer M, Griessenauer CJ, Thomas AJ, Hsieh CY, Liebeskind DS, Alexandre AM, Faizy TD, Weyland C, Patel AB, Pereira VM, Lubicz B, Dmytriw AA, Guenego A. First pass effect as an independent predictor of functional outcomes in medium vessel occlusions: An analysis of an international multicenter study. Eur Stroke J 2024; 9:114-123. [PMID: 37885243 PMCID: PMC10916815 DOI: 10.1177/23969873231208276] [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: 07/12/2023] [Accepted: 09/15/2023] [Indexed: 10/28/2023] Open
Abstract
INTRODUCTION First pass effect (FPE), achievement of complete recanalization (mTICI 2c/3) with a single pass, is a significant predictor of favorable outcomes for endovascular treatment (EVT) in large vessel occlusion stroke (LVO). However, data concerning the impact on functional outcomes and predictors of FPE in medium vessel occlusions (MeVO) are scarce. PATIENTS AND METHODS We conducted an international retrospective study on MeVO cases. Multivariable logistic modeling was used to establish independent predictors of FPE. Clinical and safety outcomes were compared between the two study groups (FPE vs non-FPE) using logistic regression models. Good outcome was defined as modified Rankin Scale 0-2 at 3 months. RESULTS Eight hundred thirty-six patients with a final mTICI ⩾ 2b were included in this analysis. FPE was observed in 302 patients (36.1%). In multivariable analysis, hypertension (aOR 1.55, 95% CI 1.10-2.20) and lower baseline NIHSS score (aOR 0.95, 95% CI 0.93-0.97) were independently associated with an FPE. Good outcomes were more common in the FPE versus non-FPE group (72.8% vs 52.8%), and FPE was independently associated with favorable outcome (aOR 2.20, 95% CI 1.59-3.05). 90-day mortality and intracranial hemorrhage (ICH) were significantly lower in the FPE group, 0.43 (95% CI, 0.25-0.72) and 0.55 (95% CI, 0.39-0.77), respectively. CONCLUSION Over 2/3 of patients with MeVOs and FPE in our cohort had a favorable outcome at 90 days. FPE is independently associated with favorable outcomes, it may reduce the risk of any intracranial hemorrhage, and 3-month mortality.
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Affiliation(s)
- Răzvan Alexandru Radu
- Department of Neuroradiology, Gui de Chauliac Hospital, Montpellier University Medical Center, Montpellier, France
| | - Vincent Costalat
- Department of Neuroradiology, Gui de Chauliac Hospital, Montpellier University Medical Center, Montpellier, France
| | - Robert Fahed
- Division of Neurology, Department of Medicine, The Ottawa Hospital, Ottawa Hospital Research Institute and University of Ottawa, Ottawa, ON, Canada
| | - Sherief Ghozy
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - James E Siegler
- Cooper Neurological Institute, Cooper University Hospital, Cooper Medical School of Rowan University, Camden, NJ, USA
| | - Hamza Shaikh
- Cooper Neurological Institute, Cooper University Hospital, Cooper Medical School of Rowan University, Camden, NJ, USA
| | - Jane Khalife
- Cooper Neurological Institute, Cooper University Hospital, Cooper Medical School of Rowan University, Camden, NJ, USA
| | - Mohamad Abdalkader
- Departments of Radiology & Neurology, Boston Medical Center, Boston, MA, USA
| | - Piers Klein
- Departments of Radiology & Neurology, Boston Medical Center, Boston, MA, USA
| | - Thanh N Nguyen
- Departments of Radiology & Neurology, Boston Medical Center, Boston, MA, USA
| | - Jeremy J Heit
- Department of Interventional Neuroradiology, Stanford Medical Center, Palo Alto, CA, USA
| | - Ahmad Sweid
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - Kareem El Naamani
- Department of Neurosurgery, Thomas Jefferson University, Philadelphia, PA, USA
| | - Robert W Regenhardt
- Neuroendovascular Program, Massachusetts General Hospital, Harvard University, Boston, MA, USA
| | - Jose Danilo Bengzon Diestro
- Neurovascular Centre, Departments of Medical Imaging and Neurosurgery, St. Michael’s Hospital, Toronto, ON, Canada
| | - Nicole M Cancelliere
- Neurovascular Centre, Departments of Medical Imaging and Neurosurgery, St. Michael’s Hospital, Toronto, ON, Canada
| | - Abdelaziz Amllay
- Department of Neurosurgery, Thomas Jefferson University, Philadelphia, PA, USA
| | - Lukas Meyer
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Anne Dusart
- Department of Neurology, Hôpital Civil Marie Curie, Charleroi, Belgium
| | - Flavio Bellante
- Department of Neurology, Hôpital Civil Marie Curie, Charleroi, Belgium
| | - Géraud Forestier
- University Hospital of Limoges, Neuroradiology Department, Dupuytren, Université de Limoges, XLIM CNRS, UMR 7252, Limoges, France
| | - Aymeric Rouchaud
- University Hospital of Limoges, Neuroradiology Department, Dupuytren, Université de Limoges, XLIM CNRS, UMR 7252, Limoges, France
| | - Suzana Saleme
- University Hospital of Limoges, Neuroradiology Department, Dupuytren, Université de Limoges, XLIM CNRS, UMR 7252, Limoges, France
| | - Charbel Mounayer
- University Hospital of Limoges, Neuroradiology Department, Dupuytren, Université de Limoges, XLIM CNRS, UMR 7252, Limoges, France
| | - Jens Fiehler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Anna Luisa Kühn
- Department of Radiology, University of Massachusetts Memorial Hospital, Worcester, MA, USA
| | - Ajit S Puri
- Department of Radiology, University of Massachusetts Memorial Hospital, Worcester, MA, USA
| | - Christian Dyzmann
- Department of Diagnostic and Interventional Radiology and Neuroradiology, Sana Klinik Lübeck, Lübeck, Germany
| | - Peter T Kan
- Department of Neurosurgery, University of Texas Medical Branch, Galveston, Texas, USA
| | - Marco Colasurdo
- Department of Neurosurgery, University of Texas Medical Branch, Galveston, Texas, USA
| | - Gaultier Marnat
- Interventional Neuroradiology Department, Bordeaux University Hospital, Bordeaux, France
| | - Jérôme Berge
- Interventional Neuroradiology Department, Bordeaux University Hospital, Bordeaux, France
| | - Xavier Barreau
- Interventional Neuroradiology Department, Bordeaux University Hospital, Bordeaux, France
| | - Igor Sibon
- Neurology Department, Bordeaux University Hospital, Bordeaux, France
| | - Simona Nedelcu
- Department of Neurology, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Nils Henninger
- Department of Neurology, University of Massachusetts Chan Medical School, Worcester, MA, USA
- Department of Psychiatry, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Maéva Kyheng
- Department of Biostatistics, CHU Lille, Lille, France
| | - Thomas R Marotta
- Neurovascular Centre, Departments of Medical Imaging and Neurosurgery, St. Michael’s Hospital, Toronto, ON, Canada
| | - Christopher J Stapleton
- Neuroendovascular Program, Massachusetts General Hospital, Harvard University, Boston, MA, USA
| | - James D Rabinov
- Neuroendovascular Program, Massachusetts General Hospital, Harvard University, Boston, MA, USA
| | - Takahiro Ota
- Department of Neurosurgery, Tokyo Metropolitan Tama Medical Center, Tokyo, Japan
| | - Shogo Dofuku
- Department of Neurosurgery, Tokyo Metropolitan Tama Medical Center, Tokyo, Japan
| | - Leonard LL Yeo
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Benjamin YQ Tan
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Division of Neurology, Department of Medicine, National University Hospital, Singapore
| | | | | | - Sunil Sheth
- Department of Neurology, UTHealth McGovern Medical School, Houston, TX, USA
| | - Leonardo Renieri
- Interventistica Neurovascolare, Ospedale Careggi di Firenze, Florence, Italy
| | - Carolina Capirossi
- Interventistica Neurovascolare, Ospedale Careggi di Firenze, Florence, Italy
| | - Ashkan Mowla
- Division of Stroke and Endovascular Neurosurgery, Department of Neurological Surgery, Keck School of Medicine, University of Southern California (USC), Los Angeles, CA, USA
| | | | - Pascal Jabbour
- Department of Neurosurgery, Thomas Jefferson University, Philadelphia, PA, USA
| | - Priyank Khandelwal
- Department of Endovascular Neurosurgery and Neuroradiology, NJMS, Newark, NJ, USA
| | - Arundhati Biswas
- Department of Neurosurgery, Westchester Medical Center at New York Medical College, Valhalla, NY, USA
| | - Frédéric Clarençon
- Department of Neuroradiology, Pitié-Salpêtrière Hospital. Paris. France; GRC BioFast, Sorbonne University, Paris VI, France
| | - Mahmoud Elhorany
- Department of Neuroradiology, Pitié-Salpêtrière Hospital. Paris. France; GRC BioFast, Sorbonne University, Paris VI, France
- Neurology Department, Faculty of Medicine, Tanta University, Egypt
| | - Kevin Premat
- Department of Neuroradiology, Pitié-Salpêtrière Hospital. Paris. France; GRC BioFast, Sorbonne University, Paris VI, France
| | - Iacopo Valente
- UOSA Neuroradiologia Interventistica, Fondazione Policlinico Universitario A.Gemelli IRCCS, Roma, Italy
| | - Alessandro Pedicelli
- UOSA Neuroradiologia Interventistica, Fondazione Policlinico Universitario A.Gemelli IRCCS, Roma, Italy
| | - João Pedro Filipe
- Department of Diagnostic and Interventional Neuroradiology, Centro Hospitalar Universitário do Porto, Porto, Portugal
| | - Ricardo Varela
- Department of Neurology, Centro Hospitalar Universitário do Porto, Porto, Portugal
| | | | - Nestor R Gonzalez
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Markus A Möhlenbruch
- Sektion Vaskuläre und Interventionelle Neuroradiologie, Universitätsklinikum Heidelberg, Heidelberg, Germany
| | - Jessica Jesser
- Sektion Vaskuläre und Interventionelle Neuroradiologie, Universitätsklinikum Heidelberg, Heidelberg, Germany
| | - Illario Tancredi
- Department of Radiology, Hôpital Civil Marie Curie, Charleroi, Belgium
| | - Adrien ter Schiphorst
- Department of Neurology, Gui de Chauliac Hospital, Montpellier University Medical Center, Montpellier, France
| | - Vivek Yedavalli
- Division of Neuroradiology, Department of Radiology, Johns Hopkins Medical Center, Baltimore, Maryland, USA
| | - Pablo Harker
- Department of Neurology, University of Cincinnati Medical Center, Cincinnati, OH, USA
| | - Lina M Chervak
- Department of Neurology, University of Cincinnati Medical Center, Cincinnati, OH, USA
| | - Yasmin Aziz
- Department of Neurology, University of Cincinnati Medical Center, Cincinnati, OH, USA
| | - Benjamin Gory
- Department of Interventional Neuroradiology, Nancy University Hospital, Nancy, France
| | - Christian Paul Stracke
- Department of Radiology, Interventional Neuroradiology Section, University Medical Center Münster, Münster, Germany
| | - Constantin Hecker
- Departments of Neurology & Neurosurgery, Christian Doppler Clinic, Paracelsus Medical University, Salzburg, Austria
| | - Monika Killer-Oberpfalzer
- Departments of Neurology & Neurosurgery, Christian Doppler Clinic, Paracelsus Medical University, Salzburg, Austria
| | - Christoph J Griessenauer
- Departments of Neurology & Neurosurgery, Christian Doppler Clinic, Paracelsus Medical University, Salzburg, Austria
| | - Ajith J Thomas
- Cooper Neurological Institute, Cooper University Hospital, Cooper Medical School of Rowan University, Camden, NJ, USA
| | | | - David S Liebeskind
- UCLA Stroke Center and Department of Neurology Department, UCLA, Los Angeles, CA, USA
| | - Andrea M Alexandre
- UOSA Neuroradiologia Interventistica, Fondazione Policlinico Universitario A.Gemelli IRCCS, Roma, Italy
| | - Tobias D Faizy
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Charlotte Weyland
- Sektion Vaskuläre und Interventionelle Neuroradiologie, Universitätsklinikum Heidelberg, Heidelberg, Germany
| | - Aman B Patel
- Neuroendovascular Program, Massachusetts General Hospital, Harvard University, Boston, MA, USA
| | - Vitor Mendes Pereira
- Neurovascular Centre, Departments of Medical Imaging and Neurosurgery, St. Michael’s Hospital, Toronto, ON, Canada
| | - Boris Lubicz
- Department of Interventional Neuroradiology, Erasme University Hospital, Brussels, Belgium
| | - Adam A Dmytriw
- Neuroendovascular Program, Massachusetts General Hospital, Harvard University, Boston, MA, USA
- Neurovascular Centre, Departments of Medical Imaging and Neurosurgery, St. Michael’s Hospital, Toronto, ON, Canada
| | - Adrien Guenego
- Department of Interventional Neuroradiology, Erasme University Hospital, Brussels, Belgium
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15
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You Q, Liang F, Wu G, Cao F, Liu J, He Z, Wang C, Zhu L, Chen X, Yang Y. The Landscape of Biomimetic Nanovesicles in Brain Diseases. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2306583. [PMID: 37713652 DOI: 10.1002/adma.202306583] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 09/12/2023] [Indexed: 09/17/2023]
Abstract
Brain diseases, such as brain tumors, neurodegenerative diseases, cerebrovascular diseases, and brain injuries, are caused by various pathophysiological changes, which pose a serious health threat. Brain disorders are often difficult to treat due to the presence of the blood-brain barrier (BBB). Biomimetic nanovesicles (BNVs), including endogenous extracellular vesicles (EVs) derived from various cells and artificial nanovesicles, possess the ability to penetrate the BBB and thus can be utilized for drug delivery to the brain. BNVs, especially endogenous EVs, are widely distributed in body fluids and usually carry various disease-related signal molecules such as proteins, RNA, and DNA, and may also be analyzed to understand the etiology and pathogenesis of brain diseases. This review covers the exhaustive classification and characterization of BNVs and pathophysiological roles involved in various brain diseases, and emphatically focuses on nanotechnology-integrated BNVs for brain disease theranostics, including various diagnosis strategies and precise therapeutic regulations (e.g., immunity regulation, disordered protein clearance, anti-neuroinflammation, neuroregeneration, angiogenesis, and the gut-brain axis regulation). The remaining challenges and future perspectives regarding the nanotechnology-integrated BNVs for the diagnosis and treatment of brain diseases are also discussed and outlined.
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Affiliation(s)
- Qing You
- CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, 100190, China
- Departments of Diagnostic Radiology, Surgery, Chemical and Biomolecular Engineering and Biomedical Engineering, Yong Loo Lin School of Medicine and College of Design and Engineering, National University of Singapore, Singapore, 119074, Singapore
- Nanomedicine Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117597, Singapore
- Clinical Imaging Research Centre, Centre for Translational Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117599, Singapore
- Institute of Molecular and Cell Biology, Agency for Science, Technology, and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Singapore
| | - Fuming Liang
- CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, 100190, China
- Department of Neurosurgery, The First Affiliated Hospital of Chongqing Medical University, 1 Friendship Road, Chongqing, 400016, China
| | - Gege Wu
- Departments of Diagnostic Radiology, Surgery, Chemical and Biomolecular Engineering and Biomedical Engineering, Yong Loo Lin School of Medicine and College of Design and Engineering, National University of Singapore, Singapore, 119074, Singapore
- Nanomedicine Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117597, Singapore
- Clinical Imaging Research Centre, Centre for Translational Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117599, Singapore
- Institute of Molecular and Cell Biology, Agency for Science, Technology, and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Singapore
| | - Fangfang Cao
- Departments of Diagnostic Radiology, Surgery, Chemical and Biomolecular Engineering and Biomedical Engineering, Yong Loo Lin School of Medicine and College of Design and Engineering, National University of Singapore, Singapore, 119074, Singapore
- Nanomedicine Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117597, Singapore
- Clinical Imaging Research Centre, Centre for Translational Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117599, Singapore
- Institute of Molecular and Cell Biology, Agency for Science, Technology, and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Singapore
| | - Jingyi Liu
- CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, 100190, China
- School of Nanoscience and Engineering, University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
| | - Zhaohui He
- Department of Neurosurgery, The First Affiliated Hospital of Chongqing Medical University, 1 Friendship Road, Chongqing, 400016, China
| | - Chen Wang
- CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, 100190, China
- School of Nanoscience and Engineering, University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
| | - Ling Zhu
- CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, 100190, China
- School of Nanoscience and Engineering, University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
| | - Xiaoyuan Chen
- Departments of Diagnostic Radiology, Surgery, Chemical and Biomolecular Engineering and Biomedical Engineering, Yong Loo Lin School of Medicine and College of Design and Engineering, National University of Singapore, Singapore, 119074, Singapore
- Nanomedicine Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117597, Singapore
- Clinical Imaging Research Centre, Centre for Translational Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117599, Singapore
- Institute of Molecular and Cell Biology, Agency for Science, Technology, and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Singapore
| | - Yanlian Yang
- CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, 100190, China
- School of Nanoscience and Engineering, University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
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16
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Baek JH, Kim BM, Suh SH, Jeon HJ, Ihm EH, Park H, Kim CH, Cha SH, Choi CH, Yi KS, Kim JH, Suh S, Kim B, Chang Y, Kim SY, Oh JS, Heo JH, Kim DJ, Nam HS, Kim YD. First-Pass Recanalization with EmboTrap II in Acute Ischemic Stroke (FREE-AIS): A Multicenter Prospective Study. Korean J Radiol 2023; 24:145-154. [PMID: 36725355 PMCID: PMC9892223 DOI: 10.3348/kjr.2022.0618] [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: 08/25/2022] [Revised: 11/18/2022] [Accepted: 12/11/2022] [Indexed: 01/28/2023] Open
Abstract
OBJECTIVE We aimed to evaluate the efficacy of EmboTrap II in terms of first-pass recanalization and to determine whether it could yield favorable outcomes. MATERIALS AND METHODS In this multicenter, prospective study, we consecutively enrolled patients who underwent mechanical thrombectomy using EmboTrap II as a front-line device. The primary outcome was the first pass effect (FPE) rate defined by modified Thrombolysis In Cerebral Infarction (mTICI) grade 2c or 3 by the first pass of EmboTrap II. In addition, modified FPE (mFPE; mTICI grade 2b-3 by the first pass of EmboTrap II), successful recanalization (final mTICI grade 2b-3), and clinical outcomes were assessed. We also analyzed the effect of FPE on a modified Rankin Scale (mRS) score of 0-2 at 3 months. RESULTS Two hundred-ten patients (mean age ± standard deviation, 73.3 ± 11.4 years; male, 55.7%) were included. Ninety-nine patients (47.1%) had FPE, and mFPE was achieved in 150 (71.4%) patients. Successful recanalization was achieved in 191 (91.0%) patients. Among them, 164 (85.9%) patients underwent successful recanalization by exclusively using EmboTrap II. The time from groin puncture to FPE was 25.0 minutes (interquartile range, 17.0-35.0 minutes). Procedure-related complications were observed in seven (3.3%) patients. Symptomatic intracranial hemorrhage developed in 14 (6.7%) patients. One hundred twenty-three (58.9% of 209 completely followed) patients had an mRS score of 0-2. Sixteen (7.7% of 209) patients died during the follow-up period. Patients who had successful recanalization with FPE were four times more likely to have an mRS score of 0-2 than those who had successful recanalization without FPE (adjusted odds ratio, 4.13; 95% confidence interval, 1.59-10.8; p = 0.004). CONCLUSION Mechanical thrombectomy using the front-line EmboTrap II is effective and safe. In particular, FPE rates were high. Achieving FPE was important for an mRS score of 0-2, even in patients with successful recanalization.
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Affiliation(s)
- Jang-Hyun Baek
- Department of Neurology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.,Department of Neurology, Severance Stroke Center, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Byung Moon Kim
- Interventional Neuroradiology, Department of Radiology, Severance Stroke Center, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
| | - Sang Hyun Suh
- Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Hong-Jun Jeon
- Department of Neurosurgery, Kangdong Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Korea
| | - Eun Hyun Ihm
- Department of Neurosurgery, Andong Hospital, Andong, Korea
| | - Hyungjong Park
- Department of Neurology, Keimyung University Dongsan Medical Center, Keimyung University School of Medicine, Daegu, Korea
| | - Chang-Hyun Kim
- Department of Neurosurgery, Keimyung University Dongsan Medical Center, Keimyung University School of Medicine, Daegu, Korea
| | - Sang-Hoon Cha
- Department of Radiology, Chungbuk National University Hospital, Cheongju, Korea.,College of Medicine and Medical Research Institute, Chungbuk National University, Cheongju, Korea
| | - Chi-Hoon Choi
- Department of Radiology, Chungbuk National University Hospital, Cheongju, Korea.,College of Medicine and Medical Research Institute, Chungbuk National University, Cheongju, Korea
| | - Kyung Sik Yi
- Department of Radiology, Chungbuk National University Hospital, Cheongju, Korea
| | - Jun-Hwee Kim
- Department of Radiology, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Korea
| | - Sangil Suh
- Department of Radiology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea
| | - Byungjun Kim
- Department of Radiology, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea
| | - Yoonkyung Chang
- Department of Neurology, Mokdong Hospital, Ewha Womans University College of Medicine, Seoul, Korea
| | - So Yeon Kim
- Department of Neurosurgery, International St. Mary’s Hospital, Catholic Kwandong University, Incheon, Korea
| | - Jae Sang Oh
- Department of Neurosurgery, College of Medicine, Soonchunhyang University, Cheonan Hospital, Cheonan, Korea
| | - Ji Hoe Heo
- Department of Neurology, Severance Stroke Center, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Dong Joon Kim
- Interventional Neuroradiology, Department of Radiology, Severance Stroke Center, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Hyo Suk Nam
- Department of Neurology, Severance Stroke Center, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Young Dae Kim
- Department of Neurology, Severance Stroke Center, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
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17
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Intravenous thrombolysis before thrombectomy in acute ischemic stroke: a dual centre retrospective cohort study. Sci Rep 2022; 12:21071. [PMID: 36473938 PMCID: PMC9726865 DOI: 10.1038/s41598-022-25696-z] [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: 09/06/2022] [Accepted: 12/02/2022] [Indexed: 12/12/2022] Open
Abstract
First pass effect (FPE) is a successful recanalization (mTICI ≥ 2b) after the first trial of thrombectomy. It is associated with good functional outcomes. Few studies discussed the effect of BT (bridging therapy: combined I.V. thrombolysis and mechanical thrombectomy) on FPE and clinical outcomes. In our study, we would like to report the effect of MT with or without preceding IVT on FPE and the functional outcome of AIS (Acute Ischemic Stroke) of anterior circulation in real practice. A dual-center retrospective cohort study enrolled 201 patients with AIS of anterior circulation and was divided into a bridging therapy (BT) group of 150 patients who received alteplase preceding thrombectomy, and a direct mechanical thrombectomy (dMT) group of 51 patients. Comparisons between both groups regarding the clinical and radiological outcome. Early better clinical outcome (mRS ≤ 2) at day seven with BT group (39.3%) rather than dMT (23.5%) with P value = 0.044. No significant differences as regard puncture to revascularization time, successful revascularization (mTICI) ≥ 2b and FPE between both groups (P value: 0.328, 0.538, and 0.708, respectively). No differences as regards hemorrhagic transformation, mortality rate, and 90-day favorable outcome between both groups (P value 0.091, 0.089, and 0.192, respectively). BT might have better early outcome than dMT but no difference as regards 90-day favorable outcomes, mortality, sICH, FPE, recanalization rate and procedure time. It might be reasonable to go directly to mechanical thrombectomy without IVT for AIS with large vessel occlusion.
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