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Saito M, Kawano H, Adachi T, Gomyo M, Yokoyama K, Shiokawa Y, Hirano T. The presence of a ghost infarct core is associated with fast core growth in acute ischemic stroke. Eur Stroke J 2024:23969873241289320. [PMID: 39397346 PMCID: PMC11556541 DOI: 10.1177/23969873241289320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2024] [Accepted: 09/16/2024] [Indexed: 10/15/2024] Open
Abstract
INTRODUCTION The overestimation of ischemic core volume by CT perfusion (CTP) is a critical concern in the selection of candidates for reperfusion therapy. This phenomenon is termed a ghost infarct core (GIC). Core growth rate (CGR) is an indicator of ischemic severity. We aimed to elucidate the association between GIC and CGR. PATIENTS AND METHODS Consecutive patients with acute ischemic stroke who underwent mechanical thrombectomy in our institute from March 2017 to July 2022 were enrolled. The initial ischemic core volume (IICV) was measured by pretreatment CTP, and the final infarct volume (FIV) was measured by diffusion-weighted imaging. A GIC was defined by IICV minus FIV > 10 ml. The CGR was calculated by dividing the IICV by the time from onset to CTP. Univariable analysis and a multivariable logistic regression model were used to evaluate the association between GIC-positive and CGR. RESULTS Of all 91 patients, 21 (23.1%) were GIC-positive. The GIC-positive group had higher CGR (14.2 [2.6-46.7] vs 4.8 [1.6-17.1] ml/h, p = 0.02) and complete recanalization (n = 15 (71.4%) vs 29 (41.4%), p = 0.02) compared to the GIC-negative group. On receiver-operating characteristic curve analysis, the optimal cutoff point of CGR to predict GIC-positive was 22 ml/h (sensitivity, 0.48; specificity, 0.85; AUC, 0.67). Multivariable logistic regression analysis showed that CGR ⩾ 22 ml/h (OR 6.44, 95% CI [1.59-26.10], p = 0.01) and complete recanalization (OR 3.72, 95% CI [1.14-12.08], p = 0.02) were independent predictors of GIC-positive. CONCLUSIONS A GIC was associated with fast CGR in acute ischemic stroke. Overestimation of the initial ischemic core may be determined by core growth speed.
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Affiliation(s)
- Mikito Saito
- Department of Stroke and Cerebrovascular Medicine, Kyorin University, Mitaka, Tokyo, Japan
| | - Hiroyuki Kawano
- Department of Stroke and Cerebrovascular Medicine, Kyorin University, Mitaka, Tokyo, Japan
| | - Takuya Adachi
- Department of Radiology, Kyorin University Hospital, Mitaka, Tokyo, Japan
| | - Miho Gomyo
- Department of Radiology, Kyorin University, Mitaka, Tokyo, Japan
| | - Kenichi Yokoyama
- Department of Radiology, Kyorin University, Mitaka, Tokyo, Japan
| | - Yoshiaki Shiokawa
- Department of Neurosurgery, Fuji Brain Institute and Hospital, Fujinomiya, Shizuoka, Japan
| | - Teruyuki Hirano
- Department of Stroke and Cerebrovascular Medicine, Kyorin University, Mitaka, Tokyo, Japan
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Wouters A, Seners P, Yuen N, Mlynash M, Heit JJ, Kemp S, Demeestere J, Christensen S, Albers GW, Lemmens R, Lansberg MG. Clinical and Imaging Features Associated With Fast Infarct Growth During Interhospital Transfers of Patients With Large Vessel Occlusions. Neurology 2024; 103:e209814. [PMID: 39173104 PMCID: PMC11343586 DOI: 10.1212/wnl.0000000000209814] [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: 04/04/2024] [Accepted: 07/05/2024] [Indexed: 08/24/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Acute ischemic stroke patients with a large vessel occlusion (LVO) who present to a primary stroke center (PSC) often require transfer to a comprehensive stroke center (CSC) for thrombectomy. Not much is known about specific characteristics at the PSC that are associated with infarct growth during transfer. Gaining more insight into these features could aid future trials with cytoprotective agents targeted at slowing infarct growth. We aimed to identify baseline clinical and imaging characteristics that are associated with fast infarct growth rate (IGR) during interhospital transfer. METHODS We included patients from the CT Perfusion to Predict Response to Recanalization in Ischemic Stroke Project, a prospective multicenter study. Patients with an anterior circulation LVO who were transferred from a PSC to a CSC for consideration of thrombectomy were eligible if imaging criteria were fulfilled. A CT perfusion (CTP) needed to be obtained at the PSC followed by an MRI at the CSC, before consideration of thrombectomy. The interhospital IGR was defined as the difference between the infarct volumes on MRI and CTP, divided by the time between the scans. Multivariable logistic regression was used to determine characteristics associated with fast IGR (≥5 mL/h). RESULTS A total of 183 patients with a median age of 74 years (interquartile range 61-82), of whom 99 (54%) were male and 82 (45%) were fast progressors, were included. At baseline, fast progressors had a higher NIH Stroke Scale score (median 16 vs 13), lower cerebral blood volume index (median 0.80 vs 0.89), more commonly poor collaterals on CT angiography (35% vs 13%), higher hypoperfusion intensity ratios (HIRs) (median 0.51 vs 0.34), and larger core volumes (median 11.80 mL vs 0.00 mL). In multivariable analysis, higher HIR (adjusted odds ratio [aOR] for every 0.10 increase 1.32 [95% CI 1.10-1.59]) and larger core volume (aOR for every 10 mL increase 1.54 [95% CI 1.20-2.11]) remained independently associated with fast IGR. DISCUSSION Fast infarct growth during interhospital transfer of acute stroke patients is associated with imaging markers of poor collaterals on baseline imaging. These markers are promising targets for patient selection in cytoprotective trials aimed at reducing interhospital infarct growth.
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Affiliation(s)
- Anke Wouters
- From the Division of Experimental Neurology, Department of Neurosciences (A.W., J.D., R.L.), KU Leuven; Stanford Stroke Center (A.W., P.S., N.Y., M.M., S.K., S.C., G.W.A., M.G.L.), Palo Alto, CA; Institut de Psychiatrie et Neurosciences de Paris (IPNP) (P.S.), U1266, INSERM; Neurology Department (P.S.), Hôpital Fondation A. de Rothschild, Paris, France; Radiology Department (J.J.H.), Stanford University, Palo Alto, CA; and Department of Neurology (J.D., R.L.), University Hospitals Leuven, Belgium
| | - Pierre Seners
- From the Division of Experimental Neurology, Department of Neurosciences (A.W., J.D., R.L.), KU Leuven; Stanford Stroke Center (A.W., P.S., N.Y., M.M., S.K., S.C., G.W.A., M.G.L.), Palo Alto, CA; Institut de Psychiatrie et Neurosciences de Paris (IPNP) (P.S.), U1266, INSERM; Neurology Department (P.S.), Hôpital Fondation A. de Rothschild, Paris, France; Radiology Department (J.J.H.), Stanford University, Palo Alto, CA; and Department of Neurology (J.D., R.L.), University Hospitals Leuven, Belgium
| | - Nicole Yuen
- From the Division of Experimental Neurology, Department of Neurosciences (A.W., J.D., R.L.), KU Leuven; Stanford Stroke Center (A.W., P.S., N.Y., M.M., S.K., S.C., G.W.A., M.G.L.), Palo Alto, CA; Institut de Psychiatrie et Neurosciences de Paris (IPNP) (P.S.), U1266, INSERM; Neurology Department (P.S.), Hôpital Fondation A. de Rothschild, Paris, France; Radiology Department (J.J.H.), Stanford University, Palo Alto, CA; and Department of Neurology (J.D., R.L.), University Hospitals Leuven, Belgium
| | - Michael Mlynash
- From the Division of Experimental Neurology, Department of Neurosciences (A.W., J.D., R.L.), KU Leuven; Stanford Stroke Center (A.W., P.S., N.Y., M.M., S.K., S.C., G.W.A., M.G.L.), Palo Alto, CA; Institut de Psychiatrie et Neurosciences de Paris (IPNP) (P.S.), U1266, INSERM; Neurology Department (P.S.), Hôpital Fondation A. de Rothschild, Paris, France; Radiology Department (J.J.H.), Stanford University, Palo Alto, CA; and Department of Neurology (J.D., R.L.), University Hospitals Leuven, Belgium
| | - Jeremy J Heit
- From the Division of Experimental Neurology, Department of Neurosciences (A.W., J.D., R.L.), KU Leuven; Stanford Stroke Center (A.W., P.S., N.Y., M.M., S.K., S.C., G.W.A., M.G.L.), Palo Alto, CA; Institut de Psychiatrie et Neurosciences de Paris (IPNP) (P.S.), U1266, INSERM; Neurology Department (P.S.), Hôpital Fondation A. de Rothschild, Paris, France; Radiology Department (J.J.H.), Stanford University, Palo Alto, CA; and Department of Neurology (J.D., R.L.), University Hospitals Leuven, Belgium
| | - Stephanie Kemp
- From the Division of Experimental Neurology, Department of Neurosciences (A.W., J.D., R.L.), KU Leuven; Stanford Stroke Center (A.W., P.S., N.Y., M.M., S.K., S.C., G.W.A., M.G.L.), Palo Alto, CA; Institut de Psychiatrie et Neurosciences de Paris (IPNP) (P.S.), U1266, INSERM; Neurology Department (P.S.), Hôpital Fondation A. de Rothschild, Paris, France; Radiology Department (J.J.H.), Stanford University, Palo Alto, CA; and Department of Neurology (J.D., R.L.), University Hospitals Leuven, Belgium
| | - Jelle Demeestere
- From the Division of Experimental Neurology, Department of Neurosciences (A.W., J.D., R.L.), KU Leuven; Stanford Stroke Center (A.W., P.S., N.Y., M.M., S.K., S.C., G.W.A., M.G.L.), Palo Alto, CA; Institut de Psychiatrie et Neurosciences de Paris (IPNP) (P.S.), U1266, INSERM; Neurology Department (P.S.), Hôpital Fondation A. de Rothschild, Paris, France; Radiology Department (J.J.H.), Stanford University, Palo Alto, CA; and Department of Neurology (J.D., R.L.), University Hospitals Leuven, Belgium
| | - Soren Christensen
- From the Division of Experimental Neurology, Department of Neurosciences (A.W., J.D., R.L.), KU Leuven; Stanford Stroke Center (A.W., P.S., N.Y., M.M., S.K., S.C., G.W.A., M.G.L.), Palo Alto, CA; Institut de Psychiatrie et Neurosciences de Paris (IPNP) (P.S.), U1266, INSERM; Neurology Department (P.S.), Hôpital Fondation A. de Rothschild, Paris, France; Radiology Department (J.J.H.), Stanford University, Palo Alto, CA; and Department of Neurology (J.D., R.L.), University Hospitals Leuven, Belgium
| | - Gregory W Albers
- From the Division of Experimental Neurology, Department of Neurosciences (A.W., J.D., R.L.), KU Leuven; Stanford Stroke Center (A.W., P.S., N.Y., M.M., S.K., S.C., G.W.A., M.G.L.), Palo Alto, CA; Institut de Psychiatrie et Neurosciences de Paris (IPNP) (P.S.), U1266, INSERM; Neurology Department (P.S.), Hôpital Fondation A. de Rothschild, Paris, France; Radiology Department (J.J.H.), Stanford University, Palo Alto, CA; and Department of Neurology (J.D., R.L.), University Hospitals Leuven, Belgium
| | - Robin Lemmens
- From the Division of Experimental Neurology, Department of Neurosciences (A.W., J.D., R.L.), KU Leuven; Stanford Stroke Center (A.W., P.S., N.Y., M.M., S.K., S.C., G.W.A., M.G.L.), Palo Alto, CA; Institut de Psychiatrie et Neurosciences de Paris (IPNP) (P.S.), U1266, INSERM; Neurology Department (P.S.), Hôpital Fondation A. de Rothschild, Paris, France; Radiology Department (J.J.H.), Stanford University, Palo Alto, CA; and Department of Neurology (J.D., R.L.), University Hospitals Leuven, Belgium
| | - Maarten G Lansberg
- From the Division of Experimental Neurology, Department of Neurosciences (A.W., J.D., R.L.), KU Leuven; Stanford Stroke Center (A.W., P.S., N.Y., M.M., S.K., S.C., G.W.A., M.G.L.), Palo Alto, CA; Institut de Psychiatrie et Neurosciences de Paris (IPNP) (P.S.), U1266, INSERM; Neurology Department (P.S.), Hôpital Fondation A. de Rothschild, Paris, France; Radiology Department (J.J.H.), Stanford University, Palo Alto, CA; and Department of Neurology (J.D., R.L.), University Hospitals Leuven, Belgium
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Lin L, Wang Y, Chen C, Bivard A, Butcher K, Garcia-Esperon C, Spratt NJ, Levi CR, Cheng X, Dong Q, Parsons MW. Exploring ischemic core growth rate and endovascular therapy benefit in large core patients. J Cereb Blood Flow Metab 2024:271678X241242911. [PMID: 39054948 DOI: 10.1177/0271678x241242911] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/27/2024]
Abstract
After stroke onset, ischemic brain tissue will progress to infarction unless blood flow is restored. Core growth rate measures the infarction speed from stroke onset. This multicenter cohort study aimed to explore whether core growth rate influences benefit from the reperfusion treatment of endovascular thrombectomy in large ischemic core stroke patients. It identified 134 patients with large core volume >70 mL assessed on brain perfusion image within 9 hours of stroke onset. Of 134 patients, 71 received endovascular thrombectomy and 63 did not receive the treatment. Overall, poor outcomes were frequent, with 3-month severed disability or death rate at 56% in treatment group and 68% in no treatment group (p = 0.156). Patients were then stratified by core growth rate. For patients with 'ultrafast core growth' of >70 mL/hour, rates of poor outcome were especially high in patients without endovascular thrombectomy (n = 13/14, 93%) and relatively lower in patients received the treatment (n = 12/20, 60%, p = 0.033). In contrast, for patients with core growth rate <70 mL/hour, there was not a large difference in poor outcomes between patients with and without the treatment (55% vs. 61%, p = 0.522). Therefore, patients with 'ultrafast core growth' might stand to benefit the most from endovascular treatment.
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Affiliation(s)
- Longting Lin
- South West Sydney Clinical Campuses, Faculty of Medicine and Health, University of New South Wales, Sydney, Australia
- University of Newcastle, Newcastle, Australia
| | - Yueming Wang
- Huashan Hospital, Fudan University, Shanghai, China
- Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing, China
| | | | - Andrew Bivard
- Melbourne Brain Centre, Royal Melbourne Hospital, University of Melbourne, Melbourne, Australia
| | - Kenneth Butcher
- Prince of Wales Clinical School, University of New South Wales, Sydney, Australia
| | - Carlos Garcia-Esperon
- University of Newcastle, Newcastle, Australia
- Hunter Medical Research Institute, Newcastle, Australia
- Department of Neurology, John Hunter Hospital, Newcastle, Australia
| | - Neil J Spratt
- University of Newcastle, Newcastle, Australia
- Hunter Medical Research Institute, Newcastle, Australia
- Department of Neurology, John Hunter Hospital, Newcastle, Australia
| | - Christopher R Levi
- University of Newcastle, Newcastle, Australia
- Hunter Medical Research Institute, Newcastle, Australia
- Department of Neurology, John Hunter Hospital, Newcastle, Australia
| | - Xin Cheng
- Huashan Hospital, Fudan University, Shanghai, China
| | - Qiang Dong
- Huashan Hospital, Fudan University, Shanghai, China
| | - Mark W Parsons
- South West Sydney Clinical Campuses, Faculty of Medicine and Health, University of New South Wales, Sydney, Australia
- University of Newcastle, Newcastle, Australia
- Melbourne Brain Centre, Royal Melbourne Hospital, University of Melbourne, Melbourne, Australia
- Hunter Medical Research Institute, Newcastle, Australia
- Department of Neurology, John Hunter Hospital, Newcastle, Australia
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Munsch F, Planes D, Fukutomi H, Marnat G, Courret T, Micard E, Chen B, Seners P, Dubos J, Planche V, Coupé P, Dousset V, Lapergue B, Olivot JM, Sibon I, Thiebaut De Schotten M, Tourdias T. Dynamic Evolution of Infarct Volumes at MRI in Ischemic Stroke Due to Large Vessel Occlusion. Neurology 2024; 102:e209427. [PMID: 38815232 DOI: 10.1212/wnl.0000000000209427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/01/2024] Open
Abstract
BACKGROUND AND OBJECTIVES The typical infarct volume trajectories in stroke patients, categorized as slow or fast progressors, remain largely unknown. This study aimed to reveal the characteristic spatiotemporal evolutions of infarct volumes caused by large vessel occlusion (LVO) and show that such growth charts help anticipate clinical outcomes. METHODS We conducted a secondary analysis from prospectively collected databases (FRAME, 2017-2019; ETIS, 2015-2022). We selected acute MRI data from anterior LVO stroke patients with witnessed onset, which were divided into training and independent validation datasets. In the training dataset, using Gaussian mixture analysis, we classified the patients into 3 growth groups based on their rate of infarct growth (diffusion volume/time-to-imaging). Subsequently, we extrapolated pseudo-longitudinal models of infarct growth for each group and generated sequential frequency maps to highlight the spatial distribution of infarct growth. We used these charts to attribute a growth group to the independent patients from the validation dataset. We compared their 3-month modified Rankin scale (mRS) with the predicted values based on a multivariable regression model from the training dataset that used growth group as an independent variable. RESULTS We included 804 patients (median age 73.0 years [interquartile range 61.2-82.0 years]; 409 men). The training dataset revealed nonsupervised clustering into 11% (74/703) slow, 62% (437/703) intermediate, and 27% (192/703) fast progressors. Infarct volume evolutions were best fitted with a linear (r = 0.809; p < 0.001), cubic (r = 0.471; p < 0.001), and power (r = 0.63; p < 0.001) function for the slow, intermediate, and fast progressors, respectively. Notably, the deep nuclei and insular cortex were rapidly affected in the intermediate and fast groups with further cortical involvement in the fast group. The variable growth group significantly predicted the 3-month mRS (multivariate odds ratio 0.51; 95% CI 0.37-0.72, p < 0.0001) in the training dataset, yielding a mean area under the receiver operating characteristic curve of 0.78 (95% CI 0.66-0.88) in the independent validation dataset. DISCUSSION We revealed spatiotemporal archetype dynamic evolutions following LVO stroke according to 3 growth phenotypes called slow, intermediate, and fast progressors, providing insight into anticipating clinical outcome. We expect this could help in designing neuroprotective trials aiming at modulating infarct growth before EVT.
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Affiliation(s)
- Fanny Munsch
- From the Institut de Bio-imagerie IBIO (F.M., J.D., V.D., T.T.), University Bordeaux; Neuroimagerie Diagnostique et Thérapeutique (D.P., G.M., T.C., V.D., T.T.), CHU de Bordeaux, France; Kansai Electric Power Hospital (H.F.), Osaka, Japan; Inserm CIC-IT U1433 (E.M., B.C.), CHRU Nancy; Institut de Psychiatrie et Neurosciences de Paris (IPNP) (P.S.), INSERM U1266; Département de Neurologie (P.S.), Hopital Fondation Rothschild, Paris; Institut des Maladies Neurodégénératives (V.P.), CNRS, UMR 5293, Bordeaux INP (P.C.), LABRI, CNRS, UMR5800, and Neurocentre Magendie (V.D., T.T.), INSERM U1215, Univ. Bordeaux; Service de Neurologie et Unité de Neuro Vasculaire (B.L.), Hôpital FOCH, Suresnes; Unité Neurovasculaire (J.M.O.), CHU de Toulouse; Unité Neurovasculaire (I.S.), CHU de Bordeaux; CNRS (M.T.D.S.), UMR-5293, Univ. Bordeaux; and Brain Connectivity and Behaviour Laboratory (M.T.D.S.), Paris, France
| | - David Planes
- From the Institut de Bio-imagerie IBIO (F.M., J.D., V.D., T.T.), University Bordeaux; Neuroimagerie Diagnostique et Thérapeutique (D.P., G.M., T.C., V.D., T.T.), CHU de Bordeaux, France; Kansai Electric Power Hospital (H.F.), Osaka, Japan; Inserm CIC-IT U1433 (E.M., B.C.), CHRU Nancy; Institut de Psychiatrie et Neurosciences de Paris (IPNP) (P.S.), INSERM U1266; Département de Neurologie (P.S.), Hopital Fondation Rothschild, Paris; Institut des Maladies Neurodégénératives (V.P.), CNRS, UMR 5293, Bordeaux INP (P.C.), LABRI, CNRS, UMR5800, and Neurocentre Magendie (V.D., T.T.), INSERM U1215, Univ. Bordeaux; Service de Neurologie et Unité de Neuro Vasculaire (B.L.), Hôpital FOCH, Suresnes; Unité Neurovasculaire (J.M.O.), CHU de Toulouse; Unité Neurovasculaire (I.S.), CHU de Bordeaux; CNRS (M.T.D.S.), UMR-5293, Univ. Bordeaux; and Brain Connectivity and Behaviour Laboratory (M.T.D.S.), Paris, France
| | - Hikaru Fukutomi
- From the Institut de Bio-imagerie IBIO (F.M., J.D., V.D., T.T.), University Bordeaux; Neuroimagerie Diagnostique et Thérapeutique (D.P., G.M., T.C., V.D., T.T.), CHU de Bordeaux, France; Kansai Electric Power Hospital (H.F.), Osaka, Japan; Inserm CIC-IT U1433 (E.M., B.C.), CHRU Nancy; Institut de Psychiatrie et Neurosciences de Paris (IPNP) (P.S.), INSERM U1266; Département de Neurologie (P.S.), Hopital Fondation Rothschild, Paris; Institut des Maladies Neurodégénératives (V.P.), CNRS, UMR 5293, Bordeaux INP (P.C.), LABRI, CNRS, UMR5800, and Neurocentre Magendie (V.D., T.T.), INSERM U1215, Univ. Bordeaux; Service de Neurologie et Unité de Neuro Vasculaire (B.L.), Hôpital FOCH, Suresnes; Unité Neurovasculaire (J.M.O.), CHU de Toulouse; Unité Neurovasculaire (I.S.), CHU de Bordeaux; CNRS (M.T.D.S.), UMR-5293, Univ. Bordeaux; and Brain Connectivity and Behaviour Laboratory (M.T.D.S.), Paris, France
| | - Gaultier Marnat
- From the Institut de Bio-imagerie IBIO (F.M., J.D., V.D., T.T.), University Bordeaux; Neuroimagerie Diagnostique et Thérapeutique (D.P., G.M., T.C., V.D., T.T.), CHU de Bordeaux, France; Kansai Electric Power Hospital (H.F.), Osaka, Japan; Inserm CIC-IT U1433 (E.M., B.C.), CHRU Nancy; Institut de Psychiatrie et Neurosciences de Paris (IPNP) (P.S.), INSERM U1266; Département de Neurologie (P.S.), Hopital Fondation Rothschild, Paris; Institut des Maladies Neurodégénératives (V.P.), CNRS, UMR 5293, Bordeaux INP (P.C.), LABRI, CNRS, UMR5800, and Neurocentre Magendie (V.D., T.T.), INSERM U1215, Univ. Bordeaux; Service de Neurologie et Unité de Neuro Vasculaire (B.L.), Hôpital FOCH, Suresnes; Unité Neurovasculaire (J.M.O.), CHU de Toulouse; Unité Neurovasculaire (I.S.), CHU de Bordeaux; CNRS (M.T.D.S.), UMR-5293, Univ. Bordeaux; and Brain Connectivity and Behaviour Laboratory (M.T.D.S.), Paris, France
| | - Thomas Courret
- From the Institut de Bio-imagerie IBIO (F.M., J.D., V.D., T.T.), University Bordeaux; Neuroimagerie Diagnostique et Thérapeutique (D.P., G.M., T.C., V.D., T.T.), CHU de Bordeaux, France; Kansai Electric Power Hospital (H.F.), Osaka, Japan; Inserm CIC-IT U1433 (E.M., B.C.), CHRU Nancy; Institut de Psychiatrie et Neurosciences de Paris (IPNP) (P.S.), INSERM U1266; Département de Neurologie (P.S.), Hopital Fondation Rothschild, Paris; Institut des Maladies Neurodégénératives (V.P.), CNRS, UMR 5293, Bordeaux INP (P.C.), LABRI, CNRS, UMR5800, and Neurocentre Magendie (V.D., T.T.), INSERM U1215, Univ. Bordeaux; Service de Neurologie et Unité de Neuro Vasculaire (B.L.), Hôpital FOCH, Suresnes; Unité Neurovasculaire (J.M.O.), CHU de Toulouse; Unité Neurovasculaire (I.S.), CHU de Bordeaux; CNRS (M.T.D.S.), UMR-5293, Univ. Bordeaux; and Brain Connectivity and Behaviour Laboratory (M.T.D.S.), Paris, France
| | - Emilien Micard
- From the Institut de Bio-imagerie IBIO (F.M., J.D., V.D., T.T.), University Bordeaux; Neuroimagerie Diagnostique et Thérapeutique (D.P., G.M., T.C., V.D., T.T.), CHU de Bordeaux, France; Kansai Electric Power Hospital (H.F.), Osaka, Japan; Inserm CIC-IT U1433 (E.M., B.C.), CHRU Nancy; Institut de Psychiatrie et Neurosciences de Paris (IPNP) (P.S.), INSERM U1266; Département de Neurologie (P.S.), Hopital Fondation Rothschild, Paris; Institut des Maladies Neurodégénératives (V.P.), CNRS, UMR 5293, Bordeaux INP (P.C.), LABRI, CNRS, UMR5800, and Neurocentre Magendie (V.D., T.T.), INSERM U1215, Univ. Bordeaux; Service de Neurologie et Unité de Neuro Vasculaire (B.L.), Hôpital FOCH, Suresnes; Unité Neurovasculaire (J.M.O.), CHU de Toulouse; Unité Neurovasculaire (I.S.), CHU de Bordeaux; CNRS (M.T.D.S.), UMR-5293, Univ. Bordeaux; and Brain Connectivity and Behaviour Laboratory (M.T.D.S.), Paris, France
| | - Bailiang Chen
- From the Institut de Bio-imagerie IBIO (F.M., J.D., V.D., T.T.), University Bordeaux; Neuroimagerie Diagnostique et Thérapeutique (D.P., G.M., T.C., V.D., T.T.), CHU de Bordeaux, France; Kansai Electric Power Hospital (H.F.), Osaka, Japan; Inserm CIC-IT U1433 (E.M., B.C.), CHRU Nancy; Institut de Psychiatrie et Neurosciences de Paris (IPNP) (P.S.), INSERM U1266; Département de Neurologie (P.S.), Hopital Fondation Rothschild, Paris; Institut des Maladies Neurodégénératives (V.P.), CNRS, UMR 5293, Bordeaux INP (P.C.), LABRI, CNRS, UMR5800, and Neurocentre Magendie (V.D., T.T.), INSERM U1215, Univ. Bordeaux; Service de Neurologie et Unité de Neuro Vasculaire (B.L.), Hôpital FOCH, Suresnes; Unité Neurovasculaire (J.M.O.), CHU de Toulouse; Unité Neurovasculaire (I.S.), CHU de Bordeaux; CNRS (M.T.D.S.), UMR-5293, Univ. Bordeaux; and Brain Connectivity and Behaviour Laboratory (M.T.D.S.), Paris, France
| | - Pierre Seners
- From the Institut de Bio-imagerie IBIO (F.M., J.D., V.D., T.T.), University Bordeaux; Neuroimagerie Diagnostique et Thérapeutique (D.P., G.M., T.C., V.D., T.T.), CHU de Bordeaux, France; Kansai Electric Power Hospital (H.F.), Osaka, Japan; Inserm CIC-IT U1433 (E.M., B.C.), CHRU Nancy; Institut de Psychiatrie et Neurosciences de Paris (IPNP) (P.S.), INSERM U1266; Département de Neurologie (P.S.), Hopital Fondation Rothschild, Paris; Institut des Maladies Neurodégénératives (V.P.), CNRS, UMR 5293, Bordeaux INP (P.C.), LABRI, CNRS, UMR5800, and Neurocentre Magendie (V.D., T.T.), INSERM U1215, Univ. Bordeaux; Service de Neurologie et Unité de Neuro Vasculaire (B.L.), Hôpital FOCH, Suresnes; Unité Neurovasculaire (J.M.O.), CHU de Toulouse; Unité Neurovasculaire (I.S.), CHU de Bordeaux; CNRS (M.T.D.S.), UMR-5293, Univ. Bordeaux; and Brain Connectivity and Behaviour Laboratory (M.T.D.S.), Paris, France
| | - Johanna Dubos
- From the Institut de Bio-imagerie IBIO (F.M., J.D., V.D., T.T.), University Bordeaux; Neuroimagerie Diagnostique et Thérapeutique (D.P., G.M., T.C., V.D., T.T.), CHU de Bordeaux, France; Kansai Electric Power Hospital (H.F.), Osaka, Japan; Inserm CIC-IT U1433 (E.M., B.C.), CHRU Nancy; Institut de Psychiatrie et Neurosciences de Paris (IPNP) (P.S.), INSERM U1266; Département de Neurologie (P.S.), Hopital Fondation Rothschild, Paris; Institut des Maladies Neurodégénératives (V.P.), CNRS, UMR 5293, Bordeaux INP (P.C.), LABRI, CNRS, UMR5800, and Neurocentre Magendie (V.D., T.T.), INSERM U1215, Univ. Bordeaux; Service de Neurologie et Unité de Neuro Vasculaire (B.L.), Hôpital FOCH, Suresnes; Unité Neurovasculaire (J.M.O.), CHU de Toulouse; Unité Neurovasculaire (I.S.), CHU de Bordeaux; CNRS (M.T.D.S.), UMR-5293, Univ. Bordeaux; and Brain Connectivity and Behaviour Laboratory (M.T.D.S.), Paris, France
| | - Vincent Planche
- From the Institut de Bio-imagerie IBIO (F.M., J.D., V.D., T.T.), University Bordeaux; Neuroimagerie Diagnostique et Thérapeutique (D.P., G.M., T.C., V.D., T.T.), CHU de Bordeaux, France; Kansai Electric Power Hospital (H.F.), Osaka, Japan; Inserm CIC-IT U1433 (E.M., B.C.), CHRU Nancy; Institut de Psychiatrie et Neurosciences de Paris (IPNP) (P.S.), INSERM U1266; Département de Neurologie (P.S.), Hopital Fondation Rothschild, Paris; Institut des Maladies Neurodégénératives (V.P.), CNRS, UMR 5293, Bordeaux INP (P.C.), LABRI, CNRS, UMR5800, and Neurocentre Magendie (V.D., T.T.), INSERM U1215, Univ. Bordeaux; Service de Neurologie et Unité de Neuro Vasculaire (B.L.), Hôpital FOCH, Suresnes; Unité Neurovasculaire (J.M.O.), CHU de Toulouse; Unité Neurovasculaire (I.S.), CHU de Bordeaux; CNRS (M.T.D.S.), UMR-5293, Univ. Bordeaux; and Brain Connectivity and Behaviour Laboratory (M.T.D.S.), Paris, France
| | - Pierrick Coupé
- From the Institut de Bio-imagerie IBIO (F.M., J.D., V.D., T.T.), University Bordeaux; Neuroimagerie Diagnostique et Thérapeutique (D.P., G.M., T.C., V.D., T.T.), CHU de Bordeaux, France; Kansai Electric Power Hospital (H.F.), Osaka, Japan; Inserm CIC-IT U1433 (E.M., B.C.), CHRU Nancy; Institut de Psychiatrie et Neurosciences de Paris (IPNP) (P.S.), INSERM U1266; Département de Neurologie (P.S.), Hopital Fondation Rothschild, Paris; Institut des Maladies Neurodégénératives (V.P.), CNRS, UMR 5293, Bordeaux INP (P.C.), LABRI, CNRS, UMR5800, and Neurocentre Magendie (V.D., T.T.), INSERM U1215, Univ. Bordeaux; Service de Neurologie et Unité de Neuro Vasculaire (B.L.), Hôpital FOCH, Suresnes; Unité Neurovasculaire (J.M.O.), CHU de Toulouse; Unité Neurovasculaire (I.S.), CHU de Bordeaux; CNRS (M.T.D.S.), UMR-5293, Univ. Bordeaux; and Brain Connectivity and Behaviour Laboratory (M.T.D.S.), Paris, France
| | - Vincent Dousset
- From the Institut de Bio-imagerie IBIO (F.M., J.D., V.D., T.T.), University Bordeaux; Neuroimagerie Diagnostique et Thérapeutique (D.P., G.M., T.C., V.D., T.T.), CHU de Bordeaux, France; Kansai Electric Power Hospital (H.F.), Osaka, Japan; Inserm CIC-IT U1433 (E.M., B.C.), CHRU Nancy; Institut de Psychiatrie et Neurosciences de Paris (IPNP) (P.S.), INSERM U1266; Département de Neurologie (P.S.), Hopital Fondation Rothschild, Paris; Institut des Maladies Neurodégénératives (V.P.), CNRS, UMR 5293, Bordeaux INP (P.C.), LABRI, CNRS, UMR5800, and Neurocentre Magendie (V.D., T.T.), INSERM U1215, Univ. Bordeaux; Service de Neurologie et Unité de Neuro Vasculaire (B.L.), Hôpital FOCH, Suresnes; Unité Neurovasculaire (J.M.O.), CHU de Toulouse; Unité Neurovasculaire (I.S.), CHU de Bordeaux; CNRS (M.T.D.S.), UMR-5293, Univ. Bordeaux; and Brain Connectivity and Behaviour Laboratory (M.T.D.S.), Paris, France
| | - Bertrand Lapergue
- From the Institut de Bio-imagerie IBIO (F.M., J.D., V.D., T.T.), University Bordeaux; Neuroimagerie Diagnostique et Thérapeutique (D.P., G.M., T.C., V.D., T.T.), CHU de Bordeaux, France; Kansai Electric Power Hospital (H.F.), Osaka, Japan; Inserm CIC-IT U1433 (E.M., B.C.), CHRU Nancy; Institut de Psychiatrie et Neurosciences de Paris (IPNP) (P.S.), INSERM U1266; Département de Neurologie (P.S.), Hopital Fondation Rothschild, Paris; Institut des Maladies Neurodégénératives (V.P.), CNRS, UMR 5293, Bordeaux INP (P.C.), LABRI, CNRS, UMR5800, and Neurocentre Magendie (V.D., T.T.), INSERM U1215, Univ. Bordeaux; Service de Neurologie et Unité de Neuro Vasculaire (B.L.), Hôpital FOCH, Suresnes; Unité Neurovasculaire (J.M.O.), CHU de Toulouse; Unité Neurovasculaire (I.S.), CHU de Bordeaux; CNRS (M.T.D.S.), UMR-5293, Univ. Bordeaux; and Brain Connectivity and Behaviour Laboratory (M.T.D.S.), Paris, France
| | - Jean Marc Olivot
- From the Institut de Bio-imagerie IBIO (F.M., J.D., V.D., T.T.), University Bordeaux; Neuroimagerie Diagnostique et Thérapeutique (D.P., G.M., T.C., V.D., T.T.), CHU de Bordeaux, France; Kansai Electric Power Hospital (H.F.), Osaka, Japan; Inserm CIC-IT U1433 (E.M., B.C.), CHRU Nancy; Institut de Psychiatrie et Neurosciences de Paris (IPNP) (P.S.), INSERM U1266; Département de Neurologie (P.S.), Hopital Fondation Rothschild, Paris; Institut des Maladies Neurodégénératives (V.P.), CNRS, UMR 5293, Bordeaux INP (P.C.), LABRI, CNRS, UMR5800, and Neurocentre Magendie (V.D., T.T.), INSERM U1215, Univ. Bordeaux; Service de Neurologie et Unité de Neuro Vasculaire (B.L.), Hôpital FOCH, Suresnes; Unité Neurovasculaire (J.M.O.), CHU de Toulouse; Unité Neurovasculaire (I.S.), CHU de Bordeaux; CNRS (M.T.D.S.), UMR-5293, Univ. Bordeaux; and Brain Connectivity and Behaviour Laboratory (M.T.D.S.), Paris, France
| | - Igor Sibon
- From the Institut de Bio-imagerie IBIO (F.M., J.D., V.D., T.T.), University Bordeaux; Neuroimagerie Diagnostique et Thérapeutique (D.P., G.M., T.C., V.D., T.T.), CHU de Bordeaux, France; Kansai Electric Power Hospital (H.F.), Osaka, Japan; Inserm CIC-IT U1433 (E.M., B.C.), CHRU Nancy; Institut de Psychiatrie et Neurosciences de Paris (IPNP) (P.S.), INSERM U1266; Département de Neurologie (P.S.), Hopital Fondation Rothschild, Paris; Institut des Maladies Neurodégénératives (V.P.), CNRS, UMR 5293, Bordeaux INP (P.C.), LABRI, CNRS, UMR5800, and Neurocentre Magendie (V.D., T.T.), INSERM U1215, Univ. Bordeaux; Service de Neurologie et Unité de Neuro Vasculaire (B.L.), Hôpital FOCH, Suresnes; Unité Neurovasculaire (J.M.O.), CHU de Toulouse; Unité Neurovasculaire (I.S.), CHU de Bordeaux; CNRS (M.T.D.S.), UMR-5293, Univ. Bordeaux; and Brain Connectivity and Behaviour Laboratory (M.T.D.S.), Paris, France
| | - Michel Thiebaut De Schotten
- From the Institut de Bio-imagerie IBIO (F.M., J.D., V.D., T.T.), University Bordeaux; Neuroimagerie Diagnostique et Thérapeutique (D.P., G.M., T.C., V.D., T.T.), CHU de Bordeaux, France; Kansai Electric Power Hospital (H.F.), Osaka, Japan; Inserm CIC-IT U1433 (E.M., B.C.), CHRU Nancy; Institut de Psychiatrie et Neurosciences de Paris (IPNP) (P.S.), INSERM U1266; Département de Neurologie (P.S.), Hopital Fondation Rothschild, Paris; Institut des Maladies Neurodégénératives (V.P.), CNRS, UMR 5293, Bordeaux INP (P.C.), LABRI, CNRS, UMR5800, and Neurocentre Magendie (V.D., T.T.), INSERM U1215, Univ. Bordeaux; Service de Neurologie et Unité de Neuro Vasculaire (B.L.), Hôpital FOCH, Suresnes; Unité Neurovasculaire (J.M.O.), CHU de Toulouse; Unité Neurovasculaire (I.S.), CHU de Bordeaux; CNRS (M.T.D.S.), UMR-5293, Univ. Bordeaux; and Brain Connectivity and Behaviour Laboratory (M.T.D.S.), Paris, France
| | - Thomas Tourdias
- From the Institut de Bio-imagerie IBIO (F.M., J.D., V.D., T.T.), University Bordeaux; Neuroimagerie Diagnostique et Thérapeutique (D.P., G.M., T.C., V.D., T.T.), CHU de Bordeaux, France; Kansai Electric Power Hospital (H.F.), Osaka, Japan; Inserm CIC-IT U1433 (E.M., B.C.), CHRU Nancy; Institut de Psychiatrie et Neurosciences de Paris (IPNP) (P.S.), INSERM U1266; Département de Neurologie (P.S.), Hopital Fondation Rothschild, Paris; Institut des Maladies Neurodégénératives (V.P.), CNRS, UMR 5293, Bordeaux INP (P.C.), LABRI, CNRS, UMR5800, and Neurocentre Magendie (V.D., T.T.), INSERM U1215, Univ. Bordeaux; Service de Neurologie et Unité de Neuro Vasculaire (B.L.), Hôpital FOCH, Suresnes; Unité Neurovasculaire (J.M.O.), CHU de Toulouse; Unité Neurovasculaire (I.S.), CHU de Bordeaux; CNRS (M.T.D.S.), UMR-5293, Univ. Bordeaux; and Brain Connectivity and Behaviour Laboratory (M.T.D.S.), Paris, France
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5
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Wu G, Wang H, Ma X, Li H, Song B, Zhao J, Wang X, Lin J. SWI and CTP fusion model based on sparse representation method to predict cerebral infarction trend. Front Neurosci 2024; 18:1360459. [PMID: 38966761 PMCID: PMC11222412 DOI: 10.3389/fnins.2024.1360459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2023] [Accepted: 06/05/2024] [Indexed: 07/06/2024] Open
Abstract
Objective SWI image signal is related to venous reflux disorder and perfusion defect. Computed tomography perfusion (CTP) contains perfusion information in space and time. There is a complementary basis between them to affect the prognosis of cerebral infarction. Methods Sixty-six patients included in the retrospective study were designated as the training set. Effective perfusion indicator features and imaging radiomic features of the peri-infarction area on Susceptibility weighted imaging (SWI) and CTP modality images were extracted from each case. Thirty-three patients from the prospectively included group were designated as the test set of the machine learning model based on a sparse representation method. The predicted results were compared with the DWI results of the patients' 7-10 days review to assess the validity and accuracy of the prediction. Results The AUC of the SWI + CTP integrated model was 0.952, the ACC was 0.909, the SEN was 0.889, and the SPE was 0.933. The prediction performance is the highest. Compared with the value of AUC: the SWI model is 0.874, inferior to the performance of the SWI + CTP model, and the CTP model is 0.715. Conclusion The prediction efficiency of the changing trend of infarction volume is further improved by the correlation between the combination of the two image features.
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Affiliation(s)
- Guoqing Wu
- Department of Electronic Engineering, Fudan University, Shanghai, China
| | - Hao Wang
- Department of Radiology, Minhang Hospital, Fudan University, Shanghai, China
| | - Xiaojun Ma
- Department of Laboratory Medicine, Minhang Hospital, Fudan University, Shanghai, China
| | - Huanyin Li
- Department of Laboratory Medicine, Minhang Hospital, Fudan University, Shanghai, China
| | - Bin Song
- Department of Radiology, Minhang Hospital, Fudan University, Shanghai, China
| | - Jing Zhao
- Department of Neurology, Minhang Hospital, Fudan University, Shanghai, China
| | - Xin Wang
- Department of Neurology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jixian Lin
- Department of Neurology, Minhang Hospital, Fudan University, Shanghai, China
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6
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Ryu JC, Kwon B, Song Y, Lee DH, Chang JY, Kang DW, Kwon SU, Kim JS, Kim BJ. Effect of Intravenous Thrombolysis Prior to Mechanical Thrombectomy According to the Location of M1 Occlusion. J Stroke 2024; 26:75-86. [PMID: 38186184 PMCID: PMC10850451 DOI: 10.5853/jos.2023.01529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 09/06/2023] [Accepted: 09/26/2023] [Indexed: 01/09/2024] Open
Abstract
BACKGROUND AND PURPOSE The additive effects of intravenous thrombolysis (IVT) before mechanical thrombectomy (MT) remain unclear. We aimed to investigate the efficacy and safety of IVT prior to MT depending on the location of M1 occlusion. METHODS We reviewed the cases of patients who underwent MT for emergent large-vessel occlusion of the M1 segment. Baseline characteristics as well as clinical and periprocedural variables were compared according to the location of M1 occlusion (i.e., proximal and distal M1 occlusion). The main outcome was the achievement of functional independence (modified Rankin Scale score, 0-2) at 3 months after stroke. The main outcomes were compared between the proximal and distal groups based on the use of IVT before MT. RESULTS Among 271 patients (proximal occlusion, 44.6%; distal occlusion, 55.4%), 33.9% (41/121) with proximal occlusion and 24.7% (37/150) with distal occlusion underwent IVT prior to MT. Largeartery atherosclerosis was more common in patients with proximal M1 occlusion; cardioembolism was more common in those with distal M1 occlusion. In patients with proximal M1 occlusion, there was no association between IVT before MT and functional independence. In contrast, there was a significant association between the use of IVT prior to MT (odds ratio=5.30, 95% confidence interval=1.56-18.05, P=0.007) and functional independence in patients with distal M1 occlusion. CONCLUSION IVT before MT was associated with improved functional outcomes in patients with M1 occlusion, especially in those with distal M1 occlusion but not in those with proximal M1 occlusion.
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Affiliation(s)
- Jae-Chan Ryu
- Department of Neurology, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Korea
| | - Boseong Kwon
- Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Yunsun Song
- Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Deok Hee Lee
- Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Jun Young Chang
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Dong-Wha Kang
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Sun U. Kwon
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Jong S. Kim
- Department of Neurology, Gangneung Asan Hospital, University of Ulsan College of Medicine, Gangneung, Korea
| | - Bum Joon Kim
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
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7
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Marnat G, Kaesmacher J, Buetikofer L, Sibon I, Saleme S, Pop R, Henon H, Michel P, Mazighi M, Kulcsar Z, Janot K, Machi P, Pikula A, Gentric JC, Hernández-Pérez M, Krause LU, Turc G, Liebeskind DS, Gralla J, Fischer U. Interaction between intravenous thrombolysis and clinical outcome between slow and fast progressors undergoing mechanical thrombectomy: a post-hoc analysis of the SWIFT-DIRECT trial. J Neurointerv Surg 2023; 16:45-52. [PMID: 37055063 DOI: 10.1136/jnis-2023-020113] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Accepted: 03/30/2023] [Indexed: 04/15/2023]
Abstract
BACKGROUND In proximal occlusions, the effect of reperfusion therapies may differ between slow or fast progressors. We investigated the effect of intravenous thrombolysis (IVT) (with alteplase) plus mechanical thrombectomy (MT) versus thrombectomy alone among slow versus fast stroke progressors. METHODS The SWIFT-DIRECT trial data were analyzed: 408 patients randomized to IVT+MT or MT alone. Infarct growth speed was defined by the number of points of decay in the initial Alberta Stroke Program Early CT Score (ASPECTS) divided by the onset-to-imaging time. The primary endpoint was 3-month functional independence (modified Rankin scale 0-2). In the primary analysis, the study population was dichotomized into slow and fast progressors using median infarct growth velocity. Secondary analysis was also conducted using quartiles of ASPECTS decay. RESULTS We included 376 patients: 191 IVT+MT, 185 MT alone; median age 73 years (IQR 65-81); median initial National Institutes of Health Stroke Scale (NIHSS) 17 (IQR 13-20). The median infarct growth velocity was 1.2 points/hour. Overall, we did not observe a significant interaction between the infarct growth speed and the allocation to either randomization group on the odds of favourable outcome (P=0.68). In the IVT+MT group, odds of any intracranial hemorrhage (ICH) were significantly lower in slow progressors (22.8% vs 36.4%; OR 0.52, 95% CI 0.27 to 0.98) and higher among fast progressors (49.4% vs 26.8%; OR 2.62, 95% CI 1.42 to 4.82) (P value for interaction <0.001). Similar results were observed in secondary analyses. CONCLUSION In this SWIFT-DIRECT subanalysis, we did not find evidence for a significant interaction of the velocity of infarct growth on the odds of favourable outcome according to treatment by MT alone or combined IVT+MT. However, prior IVT was associated with significantly reduced occurrence of any ICH among slow progressors whereas this was increased in fast progressors.
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Affiliation(s)
- Gaultier Marnat
- Interventional and Diagnostic Neuroradiology, University Hospital Centre Bordeaux, Bordeaux, Aquitaine, France
| | | | - Lukas Buetikofer
- CTU Bern, University of Bern, Bern, Switzerland, Bern, Switzerland
| | | | - Suzana Saleme
- Interventional Neuroradiology, CHU Limoges, Limoges, France
| | - Raoul Pop
- Department of Neuroradiolology, CHU Strasbourg, Strasbourg, France
| | - Hilde Henon
- Department of Vascular Neurology, Centre Hospitalier Regional Universitaire de Lille, Lille, France
| | - Patrik Michel
- Neurology Servcie, University of Lausanne, Lausanne, Switzerland
| | - Mikaël Mazighi
- Departement of Interventional Neuroradiology, Fondation Rothschild Hospital, Paris, France
- Neurology, GH Lariboisiere Fernand-Widal, Paris, France
| | | | - Kevin Janot
- Neuroradiology, University Hospital of Tours, Tours, France
| | - Paolo Machi
- Neuroradiology, Geneva University Hospitals, Geneve, Switzerland
| | | | | | | | - Lars Udo Krause
- Neurology, Osnabruck Hospital, Osnabruck, Niedersachsen, Germany
| | - Guillaume Turc
- Neurology, GHU Paris Psychiatrie et Neurosciences, Paris, France
- Université Paris Cité, Paris, France
- INSERM U1266, Paris, France
- FHU Neurovasc, Paris, France
| | - David S Liebeskind
- Department of Neurology, University of California Los Angeles, Los Angeles, California, USA
| | - Jan Gralla
- Department for Diagnostic and Interventional Neuroradiology, Inselspital, University of Bern, Bern, Switzerland
| | - Urs Fischer
- Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
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8
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Sequeiros JM, Rodriguez-Calienes A, Chavez-Malpartida SS, Morán-Mariños C, Alvarado-Gamarra G, Malaga M, Quincho-Lopez A, Hernadez-Fernandez W, Pacheco-Barrios K, Ortega-Gutierrez S, Hoit D, Arthur AS, Alexandrov AV, Alva-Diaz C, Elijovich L. Stroke imaging modality for endovascular therapy in the extended window: systematic review and meta-analysis. J Neurointerv Surg 2023; 15:e46-e53. [PMID: 35725306 DOI: 10.1136/neurintsurg-2022-018896] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 06/08/2022] [Indexed: 02/06/2023]
Abstract
BACKGROUND In anterior circulation large vessel occlusion (LVO) in the extended time window, the guidelines recommend advanced imaging (ADVI) to select patients for endovascular therapy (EVT). However, questions remain regarding its availability and applicability in the real world. It is unclear whether an approach to the extended window EVT that does not use ADVI would be equivalent. METHODS In April 2022, a literature search was performed to identified randomized controlled trials (RCT) and observational studies describing 90-day outcomes. We performed a meta-analysis of the proportion of aggregate using a random effect to estimate rates of functional independence, defined as modified Rankin Scale (mRS) score ≤2 at 90 days, mean mRS, mortality and symptomatic intracranial hemorrhage (sICH) stratified by imaging modality. RESULTS Four RCTs and 28 observational studies were included. The pooled proportion of functional independence among patients selected by ADVI was 44% (95% CI 39% to 48%; I2=80%) and 48% (95% CI 41% to 55%; I2=75%) with non-contrast CT/CT angiography (NCCT/CTA) (p=0.36). Mean mRS with ADVI was 2.88 (95% CI 2.36 to 3.41; I2=0.0%) and 2.79 (95% CI 2.31 to 3.27; I2=0.0%) with NCCT (p=0.79). Mortality in patients selected by ADVI was 13% (95% CI 10% to 17%; I2=81%) and 16% (95% CI 12% to 22%; I2=69%) with NCCT (p=0.29). sICH with ADVI was 4% (95% CI 3% to 7%; I2=73%) and 6% with NCCT/CTA (95% CI 4% to 8%; I2=6%, p=0.27). CONCLUSIONS Our study suggests that, in anterior circulation LVO, the rates of functional independence may be similar when patients are selected using ADVI or NCCT for EVT in the extended time window. A simplified triage protocol does not seem to increase mortality or sICH. PROTOCOL REGISTRATION NUMBER: (PROSPERO ID: CRD42021236092).
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Affiliation(s)
- Joel M Sequeiros
- Department of Neurology, University of Tennessee Health Science Center, Memphis, Tennessee, USA
| | - Aaron Rodriguez-Calienes
- Grupo de Investigacion Neurociencia, Efectividad Clinica y Salud Publica, Universidad Científica del Sur, Lima, Peru
| | - Sandra S Chavez-Malpartida
- Facultad de Medicina Humana, Universidad Nacional Mayor de San Marcos, Lima, Peru
- Red de Eficacia Clínica y Sanitaria, REDECS, Lima, Peru
- Servicio de Neurologia, Departamento de Medicina y Oficina de Apoyo a la Docencia e Investigacion, Hospital Daniel Alcides Carrion, Callao, Peru
| | - Cristian Morán-Mariños
- Unidad de Investigacion en Bibliometria, Universidad San Ignacio de Loyola, Lima, Peru
- Servicio de Neumologia, Hospital Nacional Dos de Mayo, Lima, Peru
| | - Giancarlo Alvarado-Gamarra
- Red de Eficacia Clínica y Sanitaria, REDECS, Lima, Peru
- Departamento de Pediatria, Hospital Nacional Edgardo Rebagliati Martins, Lima, Peru
- Departamento de Pediatria, Instituto de Investigación Nutricional, Lima, Peru
| | - Marco Malaga
- Red de Eficacia Clínica y Sanitaria, REDECS, Lima, Peru
| | - Alvaro Quincho-Lopez
- Facultad de Medicina Humana, Universidad Nacional Mayor de San Marcos, Lima, Peru
| | - Wendy Hernadez-Fernandez
- Servicio de Neurologia, Departamento de Medicina y Oficina de Apoyo a la Docencia e Investigacion, Hospital Daniel Alcides Carrion, Callao, Peru
| | - Kevin Pacheco-Barrios
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Boston, Massachusetts, USA
- Vicerrectorado de Investigacion, Unidad de Investigacion para la Generacion y Síntesis de Evidencias en Salud, Universidad San Ignacio de Loyola, Lima, Peru
| | - Santiago Ortega-Gutierrez
- Department of Neurology, Neurosurgery and Radiology, University of Iowa Hospitals and Clinics, Iowa City, IA, USA
| | - Daniel Hoit
- Department of Neurosurgery, University of Tennessee Health Science Center - Semmens Murphy Clinic, Memphis, TN, USA
| | - Adam S Arthur
- Department of Neurosurgery, University of Tennessee Health Science Center - Semmens Murphy Clinic, Memphis, TN, USA
| | - Andrei V Alexandrov
- Department of Neurology, University of Tennessee Health Science Center, Memphis, Tennessee, USA
| | - Carlos Alva-Diaz
- Grupo de Investigacion Neurociencia, Efectividad Clinica y Salud Publica, Universidad Científica del Sur, Lima, Peru
- Servicio de Neurologia, Departamento de Medicina y Oficina de Apoyo a la Docencia e Investigacion, Hospital Daniel Alcides Carrion, Callao, Peru
| | - Lucas Elijovich
- Department of Neurology, University of Tennessee Health Science Center, Memphis, Tennessee, USA
- Department of Neurosurgery, University of Tennessee Health Science Center - Semmens Murphy Clinic, Memphis, TN, USA
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9
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Lin L, Zhang H, Liu F, Chen C, Chen C, Bivard A, Parsons MW, Li G. Bridging Thrombolysis Before Endovascular Therapy in Stroke Patients With Faster Core Growth. Neurology 2023; 100:e2083-e2092. [PMID: 36963842 PMCID: PMC10186238 DOI: 10.1212/wnl.0000000000207154] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 01/20/2023] [Indexed: 03/26/2023] Open
Abstract
BACKGROUND AND OBJECTIVES It is still uncertain that going direct to endovascular thrombectomy (EVT) leads to equivalent outcomes as bridging IV thrombolysis (IVT) in acute ischemic patients. This study aimed to explore whether the rate of ischemic core growth influenced the patient outcomes after bridging IVT vs direct EVT. METHODS This was a retrospective cohort study based on the International Stroke Perfusion Imaging Registry (INSPIRE). It selected acute ischemic stroke patients receiving perfusion CT within 4.5 hours of stroke onset. Patients who went direct to EVT were compared with those who received bridging treatment of IVT before EVT. Ischemic core growth rate was estimated by the acute ischemic core volume on perfusion CT divided by the time from stroke onset to perfusion CT, based on the assumption of a linear growth pattern of ischemic core. Core growth rate was stratified into fast (>15 mL/h) and slow (≤15 mL/h), based on its interaction with bridging IVT in predicting the primary outcome. The primary outcome was modified Rankin scale of 0-2 at 3 months. The secondary outcomes included successful thrombectomy reperfusion defined by modified Thrombolysis in Cerebral Infarction score of 2b-3 and time from groin puncture to reperfusion. RESULTS Of the 1,221 EVT patients in the INSPIRE, 323 patients were selected, of which 82 patients received direct EVT and 241 patients received bridging IVT. Bridging IVT was associated with a higher rate of good clinical outcome among patients with fast core growth (39% vs 7% for direct EVT, odds ratio [OR] 8.75 [1.96-39.1], p = 0.005), but the difference was not notable for patients with slow core growth (55% vs 55% for direct EVT, OR 1.00 [0.53-1.87], p = 0.989). In patients with fast core growth, the bridging and direct EVT patients showed no difference in the reperfusion rate (80% vs 76%, p = 0.616). However, patients who received bridging IVT were more likely to achieve reperfusion earlier (the median groin to reperfusion time of 63.0 vs 94.0 minutes, p = 0.005). DISCUSSION Patients with fast core growth were more likely to benefit from bridging IVT. This is likely because prior IVT facilitates clot removal and thus reduces time to reperfusion.
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Affiliation(s)
- Longting Lin
- From the South Western Clinical School (L.L., M.W.P.), Faculty of Medicine, University of New South Wales, Sydney; Faculty of Health (L.L., Chushuang Chen, M.W.P.), University of Newcastle, Australia; Shanghai East Hospital (H.Z., F.L., Chen Chen, G.L.), Tongji University, China; and Melbourne Brain Centre (A.B., M.W.P.), Royal Melbourne Hospital, University of Melbourne, Australia
| | - Hao Zhang
- From the South Western Clinical School (L.L., M.W.P.), Faculty of Medicine, University of New South Wales, Sydney; Faculty of Health (L.L., Chushuang Chen, M.W.P.), University of Newcastle, Australia; Shanghai East Hospital (H.Z., F.L., Chen Chen, G.L.), Tongji University, China; and Melbourne Brain Centre (A.B., M.W.P.), Royal Melbourne Hospital, University of Melbourne, Australia
| | - Feifeng Liu
- From the South Western Clinical School (L.L., M.W.P.), Faculty of Medicine, University of New South Wales, Sydney; Faculty of Health (L.L., Chushuang Chen, M.W.P.), University of Newcastle, Australia; Shanghai East Hospital (H.Z., F.L., Chen Chen, G.L.), Tongji University, China; and Melbourne Brain Centre (A.B., M.W.P.), Royal Melbourne Hospital, University of Melbourne, Australia
| | - Chen Chen
- From the South Western Clinical School (L.L., M.W.P.), Faculty of Medicine, University of New South Wales, Sydney; Faculty of Health (L.L., Chushuang Chen, M.W.P.), University of Newcastle, Australia; Shanghai East Hospital (H.Z., F.L., Chen Chen, G.L.), Tongji University, China; and Melbourne Brain Centre (A.B., M.W.P.), Royal Melbourne Hospital, University of Melbourne, Australia
| | - Chushuang Chen
- From the South Western Clinical School (L.L., M.W.P.), Faculty of Medicine, University of New South Wales, Sydney; Faculty of Health (L.L., Chushuang Chen, M.W.P.), University of Newcastle, Australia; Shanghai East Hospital (H.Z., F.L., Chen Chen, G.L.), Tongji University, China; and Melbourne Brain Centre (A.B., M.W.P.), Royal Melbourne Hospital, University of Melbourne, Australia
| | - Andrew Bivard
- From the South Western Clinical School (L.L., M.W.P.), Faculty of Medicine, University of New South Wales, Sydney; Faculty of Health (L.L., Chushuang Chen, M.W.P.), University of Newcastle, Australia; Shanghai East Hospital (H.Z., F.L., Chen Chen, G.L.), Tongji University, China; and Melbourne Brain Centre (A.B., M.W.P.), Royal Melbourne Hospital, University of Melbourne, Australia
| | - Mark W Parsons
- From the South Western Clinical School (L.L., M.W.P.), Faculty of Medicine, University of New South Wales, Sydney; Faculty of Health (L.L., Chushuang Chen, M.W.P.), University of Newcastle, Australia; Shanghai East Hospital (H.Z., F.L., Chen Chen, G.L.), Tongji University, China; and Melbourne Brain Centre (A.B., M.W.P.), Royal Melbourne Hospital, University of Melbourne, Australia.
| | - Gang Li
- From the South Western Clinical School (L.L., M.W.P.), Faculty of Medicine, University of New South Wales, Sydney; Faculty of Health (L.L., Chushuang Chen, M.W.P.), University of Newcastle, Australia; Shanghai East Hospital (H.Z., F.L., Chen Chen, G.L.), Tongji University, China; and Melbourne Brain Centre (A.B., M.W.P.), Royal Melbourne Hospital, University of Melbourne, Australia.
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10
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Seners P, Scheldeman L, Christensen S, Mlynash M, Ter Schiphorst A, Arquizan C, Costalat V, Henon H, Bretzner M, Heit JJ, Olivot JM, Lansberg MG, Albers GW. Determinants of Infarct Core Growth During Inter-hospital Transfer for Thrombectomy. Ann Neurol 2023; 93:1117-1129. [PMID: 36748945 DOI: 10.1002/ana.26613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 01/09/2023] [Accepted: 02/01/2023] [Indexed: 02/08/2023]
Abstract
OBJECTIVE Patients with acute ischemic stroke harboring a large vessel occlusion who present to primary stroke centers often require inter-hospital transfer for thrombectomy. We aimed to determine clinical and imaging factors independently associated with fast infarct growth (IG) during inter-hospital transfer. METHODS We retrospectively analyzed data from acute stroke patients with a large vessel occlusion transferred for thrombectomy from a primary stroke center to one of three French comprehensive stroke centers, with an MRI obtained at both the primary and comprehensive center before thrombectomy. Inter-hospital IG rate was defined as the difference in infarct volumes on diffusion-weighted imaging between the primary and comprehensive center, divided by the delay between the two MRI scans. The primary outcome was identification of fast progressors, defined as IG rate ≥5 mL/hour. The hypoperfusion intensity ratio (HIR), a surrogate marker of collateral blood flow, was automatically measured on perfusion imaging. RESULTS A total of 233 patients were included, of whom 27% patients were fast progressors. The percentage of fast progressors was 3% among patients with HIR < 0.40 and 71% among those with HIR ≥ 0.40. In multivariable analysis, fast progression was independently associated with HIR, intracranial carotid artery occlusion, and exclusively deep infarct location at the primary center (C-statistic = 0.95; 95% confidence interval [CI], 0.93-0.98). IG rate was independently associated with good functional outcome (adjusted OR = 0.91; 95% CI, 0.83-0.99; P = 0.037). INTERPRETATION Our findings show that a HIR > 0.40 is a powerful indicator of fast inter-hospital IG. These results have implication for neuroprotection trial design, as well as informing triage decisions at primary stroke centers. ANN NEUROL 2023.
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Affiliation(s)
- Pierre Seners
- Stanford Stroke Center, Stanford University, Palo Alto, CA.,Neurology Department, A. de Rothschild Foundation Hospital, Paris, France.,Institut de Psychiatrie et Neurosciences de Paris (IPNP), UMR_S1266, INSERM, Université de Paris, Paris, France
| | - Lauranne Scheldeman
- Stanford Stroke Center, Stanford University, Palo Alto, CA.,Department of Neurology, University Hospitals Leuven, Leuven, Belgium.,Department of Neurosciences, Experimental Neurology KU Leuven, University of Leuven, Leuven, Belgium.,Center for Brain and Disease Research, Laboratory of Neurobiology, VIB, Leuven, Belgium
| | | | | | | | | | - Vincent Costalat
- Neuroradiology Department, CHRU Gui de Chauliac, Montpellier, France
| | - Hilde Henon
- Stroke Center, University of Lille, Inserm, CHU Lille, U1172-LilNCog-Lille Neuroscience & Cognition, Lille, France
| | | | - Jeremy J Heit
- Neuroradiology Department, Stanford University, Palo Alto, CA
| | - Jean-Marc Olivot
- Acute Stroke Unit, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse and Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France
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11
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Rodríguez-Vázquez A, Laredo C, Renú A, Rudilosso S, Llull L, Amaro S, Obach V, Vera V, Páez A, Oleaga L, Urra X, Chamorro Á. Optimizing the Definition of Ischemic Core in CT Perfusion: Influence of Infarct Growth and Tissue-Specific Thresholds. AJNR Am J Neuroradiol 2022; 43:1265-1270. [PMID: 35981763 PMCID: PMC9451632 DOI: 10.3174/ajnr.a7601] [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: 03/28/2022] [Accepted: 06/20/2022] [Indexed: 01/26/2023]
Abstract
BACKGROUND AND PURPOSE CTP allows estimating ischemic core in patients with acute stroke. However, these estimations have limited accuracy compared with MR imaging. We studied the effect of applying WM- and GM-specific thresholds and analyzed the infarct growth from baseline imaging to reperfusion. MATERIALS AND METHODS This was a single-center cohort of consecutive patients (n = 113) with witnessed strokes due to proximal carotid territory occlusions with baseline CT perfusion, complete reperfusion, and follow-up DWI. We segmented GM and WM, coregistered CTP with DWI, and compared the accuracy of the different predictions for each voxel on DWI through receiver operating characteristic analysis. We assessed the yield of different relative CBF thresholds to predict the final infarct volume and an estimated infarct growth-corrected volume (subtracting the infarct growth from baseline imaging to complete reperfusion) for a single relative CBF threshold and GM- and WM-specific thresholds. RESULTS The fixed threshold underestimated lesions in GM and overestimated them in WM. Double GM- and WM-specific thresholds of relative CBF were superior to fixed thresholds in predicting infarcted voxels. The closest estimations of the infarct on DWI were based on a relative CBF of 25% for a single threshold, 35% for GM, and 20% for WM, and they decreased when correcting for infarct growth: 20% for a single threshold, 25% for GM, and 15% for WM. The combination of 25% for GM and 15% for WM yielded the best prediction. CONCLUSIONS GM- and WM-specific thresholds result in different estimations of ischemic core in CTP and increase the global accuracy. More restrictive thresholds better estimate the actual extent of the infarcted tissue.
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Affiliation(s)
- A Rodríguez-Vázquez
- From the Comprehensive Stroke Center (A.R.-V., C.L., A.R., S.R., L.L., S.A., V.O., V.V., X.U., A.C.), Functional Unit of Cerebrovascular Diseases
| | - C Laredo
- From the Comprehensive Stroke Center (A.R.-V., C.L., A.R., S.R., L.L., S.A., V.O., V.V., X.U., A.C.), Functional Unit of Cerebrovascular Diseases
| | - A Renú
- From the Comprehensive Stroke Center (A.R.-V., C.L., A.R., S.R., L.L., S.A., V.O., V.V., X.U., A.C.), Functional Unit of Cerebrovascular Diseases
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (A.R., S.R., L.L., S.A., V.O., X.U., A.C.), Barcelona, Spain
- University of Barcelona (A.R., L.L., S.A., V.O., X.U., A.C.), Barcelona, Spain
| | - S Rudilosso
- From the Comprehensive Stroke Center (A.R.-V., C.L., A.R., S.R., L.L., S.A., V.O., V.V., X.U., A.C.), Functional Unit of Cerebrovascular Diseases
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (A.R., S.R., L.L., S.A., V.O., X.U., A.C.), Barcelona, Spain
| | - L Llull
- From the Comprehensive Stroke Center (A.R.-V., C.L., A.R., S.R., L.L., S.A., V.O., V.V., X.U., A.C.), Functional Unit of Cerebrovascular Diseases
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (A.R., S.R., L.L., S.A., V.O., X.U., A.C.), Barcelona, Spain
- University of Barcelona (A.R., L.L., S.A., V.O., X.U., A.C.), Barcelona, Spain
| | - S Amaro
- From the Comprehensive Stroke Center (A.R.-V., C.L., A.R., S.R., L.L., S.A., V.O., V.V., X.U., A.C.), Functional Unit of Cerebrovascular Diseases
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (A.R., S.R., L.L., S.A., V.O., X.U., A.C.), Barcelona, Spain
- University of Barcelona (A.R., L.L., S.A., V.O., X.U., A.C.), Barcelona, Spain
| | - V Obach
- From the Comprehensive Stroke Center (A.R.-V., C.L., A.R., S.R., L.L., S.A., V.O., V.V., X.U., A.C.), Functional Unit of Cerebrovascular Diseases
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (A.R., S.R., L.L., S.A., V.O., X.U., A.C.), Barcelona, Spain
- University of Barcelona (A.R., L.L., S.A., V.O., X.U., A.C.), Barcelona, Spain
| | - V Vera
- From the Comprehensive Stroke Center (A.R.-V., C.L., A.R., S.R., L.L., S.A., V.O., V.V., X.U., A.C.), Functional Unit of Cerebrovascular Diseases
| | - A Páez
- Radiology Department (A.P., L.O.), Hospital Clínic, Barcelona, Spain
| | - L Oleaga
- Radiology Department (A.P., L.O.), Hospital Clínic, Barcelona, Spain
| | - X Urra
- From the Comprehensive Stroke Center (A.R.-V., C.L., A.R., S.R., L.L., S.A., V.O., V.V., X.U., A.C.), Functional Unit of Cerebrovascular Diseases
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (A.R., S.R., L.L., S.A., V.O., X.U., A.C.), Barcelona, Spain
- University of Barcelona (A.R., L.L., S.A., V.O., X.U., A.C.), Barcelona, Spain
| | - Á Chamorro
- From the Comprehensive Stroke Center (A.R.-V., C.L., A.R., S.R., L.L., S.A., V.O., V.V., X.U., A.C.), Functional Unit of Cerebrovascular Diseases
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (A.R., S.R., L.L., S.A., V.O., X.U., A.C.), Barcelona, Spain
- University of Barcelona (A.R., L.L., S.A., V.O., X.U., A.C.), Barcelona, Spain
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12
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Rudilosso S, Ríos J, Rodríguez A, Gomis M, Vera V, Gómez-Choco M, Renú A, Matos N, Llull L, Purroy F, Amaro S, Terceño M, Obach V, Serena J, Martí-Fàbregas J, Cardona P, Molina C, Rodríguez-Campello A, Cánovas D, Krupinski J, Ustrell X, Torres F, Román LS, Salvat-Plana M, Jiménez-Fàbrega FX, Palomeras E, Catena E, Colom C, Cocho D, Baiges J, Aragones JM, Diaz G, Costa X, Almendros MC, Rybyeba M, Barceló M, Carrión D, Lòpez MN, Sanjurjo E, de la Ossa NP, Urra X, Chamorro Á. Effectiveness of Thrombectomy in Stroke According to Baseline Prognostic Factors: Inverse Probability of Treatment Weighting Analysis of a Population-Based Registry. J Stroke 2021; 23:401-410. [PMID: 34649384 PMCID: PMC8521260 DOI: 10.5853/jos.2021.00962] [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: 03/14/2021] [Accepted: 05/10/2021] [Indexed: 11/28/2022] Open
Abstract
Background and Purpose In real-world practice, the benefit of mechanical thrombectomy (MT) is uncertain in stroke patients with very favorable or poor prognostic profiles at baseline. We studied the effectiveness of MT versus medical treatment stratifying by different baseline prognostic factors. Methods Retrospective analysis of 2,588 patients with an ischemic stroke due to large vessel occlusion nested in the population-based registry of stroke code activations in Catalonia from January 2017 to June 2019. The effect of MT on good functional outcome (modified Rankin Score ≤2) and survival at 3 months was studied using inverse probability of treatment weighting (IPTW) analysis in three pre-defined baseline prognostic groups: poor (if pre-stroke disability, age >85 years, National Institutes of Health Stroke Scale [NIHSS] >25, time from onset >6 hours, Alberta Stroke Program Early CT Score <6, proximal vertebrobasilar occlusion, supratherapeutic international normalized ratio >3), good (if NIHSS <6 or distal occlusion, in the absence of poor prognostic factors), or reference (not meeting other groups’ criteria).
Results Patients receiving MT (n=1,996, 77%) were younger, had less pre-stroke disability, and received systemic thrombolysis less frequently. These differences were balanced after the IPTW stratified by prognosis. MT was associated with good functional outcome in the reference (odds ratio [OR], 2.9; 95% confidence interval [CI], 2.0 to 4.4), and especially in the poor baseline prognostic stratum (OR, 3.9; 95% CI, 2.6 to 5.9), but not in the good prognostic stratum. MT was associated with survival only in the poor prognostic stratum (OR, 2.6; 95% CI, 2.0 to 3.3).
Conclusions Despite their worse overall outcomes, the impact of thrombectomy over medical management was more substantial in patients with poorer baseline prognostic factors than patients with good prognostic factors.
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Affiliation(s)
- Salvatore Rudilosso
- Comprehensive Stroke Center, Department of Neuroscience, Hospital Clínic of Barcelona, Barcelona, Spain.,Clinical and Experimental Neuroscience: Cerebrovascular Diseases, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - José Ríos
- Medical Statistics Core Facility, August Pi i Sunyer Biomedical Research Institute (IDIBAPS) and Hospital Clinic, Barcelona, Spain.,Biostatistics Unit, Faculty of Medicine, Autonomous University of Barcelona, Barcelona, Spain
| | - Alejandro Rodríguez
- Comprehensive Stroke Center, Department of Neuroscience, Hospital Clínic of Barcelona, Barcelona, Spain
| | - Meritxell Gomis
- Stroke Unit, Department of Neuroscience, Germans Trias Hospital, Badalona, Spain
| | - Víctor Vera
- Comprehensive Stroke Center, Department of Neuroscience, Hospital Clínic of Barcelona, Barcelona, Spain
| | | | - Arturo Renú
- Comprehensive Stroke Center, Department of Neuroscience, Hospital Clínic of Barcelona, Barcelona, Spain.,Clinical and Experimental Neuroscience: Cerebrovascular Diseases, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Núria Matos
- Department of Neurology, Althaia Foundation Hospital, Manresa, Spain
| | - Laura Llull
- Comprehensive Stroke Center, Department of Neuroscience, Hospital Clínic of Barcelona, Barcelona, Spain.,Clinical and Experimental Neuroscience: Cerebrovascular Diseases, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Francisco Purroy
- Stroke Unit, Department of Neurology, University Hospital Arnau of Vilanova, Lleida, Spain
| | - Sergio Amaro
- Comprehensive Stroke Center, Department of Neuroscience, Hospital Clínic of Barcelona, Barcelona, Spain.,Clinical and Experimental Neuroscience: Cerebrovascular Diseases, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Mikel Terceño
- Stroke Unit, Department of Neurology, Josep Trueta University Hospital, Girona, Spain
| | - Víctor Obach
- Comprehensive Stroke Center, Department of Neuroscience, Hospital Clínic of Barcelona, Barcelona, Spain
| | - Joaquim Serena
- Stroke Unit, Department of Neurology, Josep Trueta University Hospital, Girona, Spain
| | - Joan Martí-Fàbregas
- Stroke Unit, Department of Neurology, Santa Creu i Sant Pau, Barcelona, Spain
| | - Pedro Cardona
- Stroke Unit, Department of Neurology, Bellvitge University Hospital, Barcelona, Spain
| | - Carlos Molina
- Stroke Unit, Department of Neurology, Vall d'Hebron University Hospital, Barcelona, Spain
| | | | - David Cánovas
- Department of Neurology, Parc Taulí Hospital, Sabadell, Spain
| | - Jerzy Krupinski
- Department of Neurology, Mutua de Terrassa University Hospital, Terrassa, Spain
| | - Xavier Ustrell
- Stroke Unit, Department of Neurology, Joan XXIII University Hospital, Terragona, Spain
| | - Ferran Torres
- Medical Statistics Core Facility, August Pi i Sunyer Biomedical Research Institute (IDIBAPS) and Hospital Clinic, Barcelona, Spain.,Biostatistics Unit, Faculty of Medicine, Autonomous University of Barcelona, Barcelona, Spain
| | - Luis San Román
- Department of Radiology, Hospital Clínic of Barcelona, Barcelona, Spain
| | - Mercè Salvat-Plana
- Department of Health, Pla Director Malaltia Vascular Cerebral (Catalan Stroke Program), Barcelona, Spain
| | | | | | - Esther Catena
- Department of Neurology, Consorci Sanitari Garraf Hospital, Sant Pere de Ribes, Spain
| | - Carla Colom
- Department of Emergency, Hospital of Igualada, Igualada, Spain
| | - Dolores Cocho
- Department of Emergency, Hospital of Granollers, Granollers, Spain
| | - Juanjo Baiges
- Department of Emergency, Verge de la Cinta Hospital, Tortosa, Spain
| | | | - Gloria Diaz
- Department of Emergency, Hospital of Campdevànol, Campdevànol, Spain
| | - Xavier Costa
- Department of Emergency, Hospital of Figueres, Figueres, Spain
| | | | - Maria Rybyeba
- Department of Emergency, Hospital of Olot, Olot, Spain
| | - Miquel Barceló
- Department of Emergency, Cerdanya Hospital, Puigcerdá, Spain
| | - Dolors Carrión
- Department of Emergency, Hospital of Móra d'Ebre, Móra d'Ebre, Spain
| | | | | | - Natalia Pérez de la Ossa
- Stroke Unit, Department of Neuroscience, Germans Trias Hospital, Badalona, Spain.,Department of Health, Pla Director Malaltia Vascular Cerebral (Catalan Stroke Program), Barcelona, Spain
| | - Xabier Urra
- Comprehensive Stroke Center, Department of Neuroscience, Hospital Clínic of Barcelona, Barcelona, Spain.,Clinical and Experimental Neuroscience: Cerebrovascular Diseases, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Ángel Chamorro
- Comprehensive Stroke Center, Department of Neuroscience, Hospital Clínic of Barcelona, Barcelona, Spain.,Clinical and Experimental Neuroscience: Cerebrovascular Diseases, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain.,University of Barcelona, Barcelona, Spain
| | -
- Comprehensive Stroke Center, Department of Neuroscience, Hospital Clínic of Barcelona, Barcelona, Spain
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13
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Arenillas JF. Infarct Core Growth Velocity: Characterizing the Hot Penumbra Without Looking at It. Stroke 2021; 52:4007-4009. [PMID: 34583529 DOI: 10.1161/strokeaha.121.035682] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Juan F Arenillas
- Stroke Program, Department of Neurology, Hospital Clínico Universitario Valladolid, Spain. Clinical Neurosciences Research Group, Department of Medicine, University of Valladolid, Spain
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14
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Lin L, Zhang H, Chen C, Bivard A, Butcher K, Garcia-Esperon C, Spratt NJ, Levi CR, Parsons MW, Li G. Stroke Patients With Faster Core Growth Have Greater Benefit From Endovascular Therapy. Stroke 2021; 52:3998-4006. [PMID: 34583531 DOI: 10.1161/strokeaha.121.034205] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
BACKGROUND AND PURPOSE This study aimed to explore whether the therapeutic benefit of endovascular thrombectomy (EVT) was mediated by core growth rate. METHODS This retrospective cohort study identified acute ischemic stroke patients with large vessel occlusion and receiving reperfusion treatment, either EVT or intravenous thrombolysis (IVT), within 4.5 hours of stroke onset. Patients were divided into 2 groups: EVT versus IVT only patients (who had no access to EVT). Core growth rate was estimated by the acute core volume on perfusion computed tomography divided by the time from stroke onset to perfusion computed tomography. The primary clinical outcome was good outcome defined by 3-month modified Rankin Scale score of 0-2. Tissue outcome was the final infarction volume. RESULTS A total of 806 patients were included, 429 in the EVT group (recanalization rate of 61.6%) and 377 in the IVT only group (recanalization rate of 44.7%). The treatment effect of EVT versus IVT only was mediated by core growth rate, showing a significant interaction between EVT treatment and core growth rate in predicting good clinical outcome (interaction odds ratio=1.03 [1.01-1.05], P=0.007) and final infarct volume (interaction odds ratio=-0.44 [-0.87 to -0.01], P=0.047). For patients with fast core growth of >25 mL/h, EVT treatment (compared with IVT only) increased the odds of good clinical outcome (adjusted odds ratio=3.62 [1.21-10.76], P=0.021) and resulted in smaller final infarction volume (37.5 versus 73.9 mL, P=0.012). For patients with slow core growth of <15 mL/h, there were no significant differences between the EVT and the IVT only group in either good clinical outcome (adjusted odds ratio=1.44 [0.97-2.14], P=0.070) or final infarction volume (22.6 versus 21.9 mL, P=0.551). CONCLUSIONS Fast core growth was associated with greater benefit from EVT compared with IVT in the early <4.5-hour time window.
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Affiliation(s)
- Longting Lin
- South Western Clinical School, Faculty of Medicine (L.L., M.W.P.), University of New South Wales, Sydney, Australia.,Faculty of Health, University of Newcastle, Hunter Medical Research Institute, Australia (L.L., C.C., C.G.-E., N.J.S., C.R.L., M.W.P.).,Department of Neurology, John Hunter Hospital, Newcastle, Australia (L.L., C.C., C.G.-E., N.J.S., C.R.L., M.W.P.)
| | - Hao Zhang
- Shanghai East Hospital, Tongji University, China (H.Z., G.L.)
| | - Chushuang Chen
- Faculty of Health, University of Newcastle, Hunter Medical Research Institute, Australia (L.L., C.C., C.G.-E., N.J.S., C.R.L., M.W.P.).,Department of Neurology, John Hunter Hospital, Newcastle, Australia (L.L., C.C., C.G.-E., N.J.S., C.R.L., M.W.P.)
| | - Andrew Bivard
- Melbourne Brain Centre, Royal Melbourne Hospital, University of Melbourne, Australia (A.B., M.W.P.)
| | - Kenneth Butcher
- Prince of Wales Clinical School (K.B.), University of New South Wales, Sydney, Australia
| | - Carlos Garcia-Esperon
- Faculty of Health, University of Newcastle, Hunter Medical Research Institute, Australia (L.L., C.C., C.G.-E., N.J.S., C.R.L., M.W.P.).,Department of Neurology, John Hunter Hospital, Newcastle, Australia (L.L., C.C., C.G.-E., N.J.S., C.R.L., M.W.P.)
| | - Neil J Spratt
- Faculty of Health, University of Newcastle, Hunter Medical Research Institute, Australia (L.L., C.C., C.G.-E., N.J.S., C.R.L., M.W.P.).,Department of Neurology, John Hunter Hospital, Newcastle, Australia (L.L., C.C., C.G.-E., N.J.S., C.R.L., M.W.P.)
| | - Christopher R Levi
- Faculty of Health, University of Newcastle, Hunter Medical Research Institute, Australia (L.L., C.C., C.G.-E., N.J.S., C.R.L., M.W.P.).,Department of Neurology, John Hunter Hospital, Newcastle, Australia (L.L., C.C., C.G.-E., N.J.S., C.R.L., M.W.P.).,The Sydney Partnership for Health, Education, Research and Enterprise, Australia (C.R.L.)
| | - Mark W Parsons
- South Western Clinical School, Faculty of Medicine (L.L., M.W.P.), University of New South Wales, Sydney, Australia.,Faculty of Health, University of Newcastle, Hunter Medical Research Institute, Australia (L.L., C.C., C.G.-E., N.J.S., C.R.L., M.W.P.).,Department of Neurology, John Hunter Hospital, Newcastle, Australia (L.L., C.C., C.G.-E., N.J.S., C.R.L., M.W.P.).,Melbourne Brain Centre, Royal Melbourne Hospital, University of Melbourne, Australia (A.B., M.W.P.)
| | - Gang Li
- Shanghai East Hospital, Tongji University, China (H.Z., G.L.)
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15
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Shigeta K, Ota T, Kaneko J, Sato K, Aoki R, Jimbo H, Sato Y, Kuroshima Y, Shiokawa Y, Hirano T. Negative impact of Interhospital Transfer on Clinical Outcomes of Mechanical Thrombectomy for Fast Progressive Stroke. J Stroke Cerebrovasc Dis 2021; 30:105633. [PMID: 33517031 DOI: 10.1016/j.jstrokecerebrovasdis.2021.105633] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Revised: 11/04/2020] [Accepted: 01/16/2021] [Indexed: 11/17/2022] Open
Abstract
OBJECTIVES The time-dependence of the clinical outcome of mechanical thrombectomy is higher in the "fast progressor" in whom cerebral ischemia progresses rapidly. The impact of time-consuming interhospital transfer (IT) on the clinical outcome of such patients is unknown. The effect on clinical outcomes of IT of fast progressors was investigated. METHODS Among the patients enrolled in the Tokyo/Tama REgistry of Acute endovascular Thrombectomy, fast progressor cerebral ischemia cases were retrospectively investigated. In this study, a fast progressor was defined as a case with an Alberta Stroke Program Early CT Score less than 6 and last known well (LKW) to arterial puncture within 6 h. Patients' background characteristics, treatment progress, and the modified Rankin Scale (mRS) score at 3 months were examined. RESULTS Of a total of 1182 patients, 92 (7.8%) were included, with 76 patients in the direct transfer (DT) group, and 16 patients in the IT group. Median LKW to reperfusion was 190 min and 272 min, respectively (P<.001). The number of patients with mRS scores 0-2 at three months was 22 (28.9%) in the DT group and 1 (6.2%) in the IT group. Interhospital transfer was an independent factor associated with worse outcomes (odds ratio 0.08, 95% confidence interval 0.01-0.87, P=.038). CONCLUSION This study showed that, among fast progressor patients, the IT group had a worse prognosis than the DT group. To provide good clinical outcomes for fast progressor patients, those who are likely to undergo mechanical thrombectomy should be sent directly to a thrombectomy-capable center.
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Affiliation(s)
- Keigo Shigeta
- Department of Neurosurgery, National Hospital Organization Disaster Medical Center, 3256, Midorhicho, Tachikawa, Tokyo 190-0014, Japan.
| | - Takahiro Ota
- Department of Neurosurgery, Tokyo Metropolitan Tama Medical Center, 2-8-29, Musashidai, Fuchu, Tokyo 183-8524, Japan.
| | - Junya Kaneko
- Department of Emergency and Critical Care Medicine, Nippon Medical School Tama Nagayama Hospital, 1-7-1 Nagayama, Tama, Tokyo 206-8512, Japan
| | - Katsuya Sato
- Department of Neurosurgery, Showa General Hospital, 8-1-1 Hanakoganei, Kodaira, Tokyo 187-8510, Japan.
| | - Rie Aoki
- Department of Neurosurgery, Tokai University Hachioji Hospital, 1838 Ishikawamachi, Hachioji, Tokyo 192-0032, Japan.
| | - Hiroyuki Jimbo
- Department of Neurosurgery, Tokyo Medical University Hachioji Medical Center, 1163 Tatemachi, Hachioji, Tokyo 193-0998, Japan.
| | - Yohei Sato
- Department of Neurosurgery, Japanese Red Cross Musashino Hospital, 1-26-1 Kyonancho, Musashino, Tokyo 180-8610, Japan.
| | - Yoshiaki Kuroshima
- Department of Neurosurgery, Hino Municipal Hospital, 4-3-1 Tamadaira, Hino, Tokyo 191-0062, Japan
| | - Yoshiaki Shiokawa
- Department of Neurosurgery, Kyorin University, 6-20-2, Shinkawa, Mitaka, Tokyo 181-8611, Japan.
| | - Teruyuki Hirano
- Department of Stroke and Cerebrovascular Medicine, Kyorin University, 6-20-2, Shinkawa, Mitaka, Tokyo 181-8611, Japan.
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16
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Yoshimoto T, Inoue M, Tanaka K, Kanemaru K, Koge J, Shiozawa M, Kamogawa N, Kimura S, Chiba T, Satow T, Takahashi JC, Toyoda K, Koga M, Ihara M. Identifying large ischemic core volume ranges in acute stroke that can benefit from mechanical thrombectomy. J Neurointerv Surg 2020; 13:1081-1087. [PMID: 33323502 PMCID: PMC8606466 DOI: 10.1136/neurintsurg-2020-016934] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Revised: 11/19/2020] [Accepted: 11/24/2020] [Indexed: 02/05/2023]
Abstract
BACKGROUND We aimed to identify the large ischemic core (LIC) volume ranges in acute ischemic stroke patients that can benefit from mechanical thrombectomy (MT). METHODS Consecutive patients within 24 hours of onset of anterior circulation ischemic stroke with large vessel occlusion and ischemic core volumes of 70-300 mL were included from our single-center prospective database from March 2014 to December 2019. Subjects were divided into three groups by baseline ischemic core volume (A: 70-100 mL; B: 101-130 mL; C: >130 mL). We compared modified Rankin Scale (mRS) score 0-2 at 3 months and parenchymal hematoma between patients receiving MT and standard medical treatment (SMT), and determined clinically treatable core volume ranges for MT. RESULTS Of 157 patients (86 women; median age, 81 years; median ischemic core volume, 123 mL), 49 patients underwent MT. In Group A (n=52), MT patients (n=31) showed a higher proportion of mRS 0-2 at 3 months (52% vs 5%, P<0.05) versus SMT, respectively. Group B (n=36) MT patients (n=14) also had a higher proportion of mRS 0-2 at 3 months (29% vs 9%, P=0.13) versus SMT, respectively. In Group C (n=69), only four patients received MT. The 95% confidence intervals for the probability of mRS 0-2 at 3 months in patients with MT (n=49) versus SMT (n=108) intersected at 120-130 mL. CONCLUSIONS Ischemic core volumes between 70 and 100 mL may benefit from MT. The treatable upper core limit is approximately 120 mL in selected patients with LIC of 70-300 mL.
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Affiliation(s)
- Takeshi Yoshimoto
- Neurology, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Manabu Inoue
- Division of Stroke Care Unit, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan .,Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Kanta Tanaka
- Division of Stroke Care Unit, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Kodai Kanemaru
- Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Junpei Koge
- Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Masayuki Shiozawa
- Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Naruhiko Kamogawa
- Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Shunsuke Kimura
- Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Tetsuya Chiba
- Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Tetsu Satow
- Neurosurgery, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Jun C Takahashi
- Neurosurgery, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Kazunori Toyoda
- Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Masatoshi Koga
- Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Masafumi Ihara
- Neurology, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
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