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Avula A, Bui Q, Kumar A, Chen Y, Hamzehloo A, Cifarelli J, Heitsch L, Slowik A, Strbian D, Lee JM, Dhar R. Evaluating the interaction between hemorrhagic transformation and cerebral edema on functional outcome after ischemic stroke. J Stroke Cerebrovasc Dis 2024; 33:107913. [PMID: 39098362 DOI: 10.1016/j.jstrokecerebrovasdis.2024.107913] [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: 05/16/2024] [Revised: 07/12/2024] [Accepted: 08/01/2024] [Indexed: 08/06/2024] Open
Abstract
BACKGROUND Hemorrhagic transformation (HT) and cerebral edema (CED) are both major complications following ischemic stroke, but few studies have evaluated their overlap. We evaluated the frequency and predictors of CED/HT overlap and whether their co-occurrence impacts functional outcome more than each in isolation. METHODS 892 stroke patients enrolled in a prospective study had follow-up CT imaging evaluated for HT and CED; the latter was quantified using the ratio of hemispheric CSF volumes (with hemispheric CSF ratio < 0.90 used as the CED threshold). The interaction between HT and CED on functional outcome (using modified Rankin Scale at 3 months) was compared to that for each condition separately. RESULTS Among the 275 (31%) who developed HT, 233 (85%) manifested hemispheric CSF ratio < 0.9 (CED/HT), with this overlap group representing half of the 475 with measurable CED. Higher baseline NIHSS scores and larger infarct volumes were observed in the CED/HT group compared with those with CED or HT alone. Functional outcome was worse in those with CED/HT [median mRS 3 (IQR 2-5)] than those with CED [median 2 (IQR 1-4)] or HT alone [median 1 (IQR 0-2), p < 0.0001]. Overlap of CED/HT independently predicted worse outcome [OR 1.89 (95% CI: 1.12-3.18), p = 0.02] while HT did not; however, CED/HT was no longer associated with worse outcome after adjusting for severity of CED [adjusted OR 0.35 (95% CI: 0.23, 0.51) per 0.21 lower hemispheric CSF ratio, p < 0.001]. CONCLUSIONS Most stroke patients with HT also have measurable CED. The co-occurrence of CED and HT occurs in larger and more severe strokes and is associated with worse functional outcome, although this is driven by greater severity of stroke-related edema in those with HT.
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Affiliation(s)
- Amrit Avula
- Department of Neurology, Washington University School of Medicine, 660 S Euclid Avenue, Campus Box 8111, St. Louis, MO, USA
| | - Quoc Bui
- Department of Neurology, Washington University School of Medicine, 660 S Euclid Avenue, Campus Box 8111, St. Louis, MO, USA
| | - Atul Kumar
- Department of Neurology, Washington University School of Medicine, 660 S Euclid Avenue, Campus Box 8111, St. Louis, MO, USA
| | - Yasheng Chen
- Department of Neurology, Washington University School of Medicine, 660 S Euclid Avenue, Campus Box 8111, St. Louis, MO, USA
| | - Ali Hamzehloo
- Department of Neurology, Washington University School of Medicine, 660 S Euclid Avenue, Campus Box 8111, St. Louis, MO, USA
| | - Julien Cifarelli
- Department of Neurology, Washington University School of Medicine, 660 S Euclid Avenue, Campus Box 8111, St. Louis, MO, USA
| | - Laura Heitsch
- Department of Neurology, Washington University School of Medicine, 660 S Euclid Avenue, Campus Box 8111, St. Louis, MO, USA; Department of Emergency Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Agnieszka Slowik
- Department of Neurology, Jagiellonian University Medical College, Krakow, Poland
| | - Daniel Strbian
- Department of Neurology, Helsinki University Hospital, Helsinki, Finland
| | - Jin-Moo Lee
- Department of Neurology, Washington University School of Medicine, 660 S Euclid Avenue, Campus Box 8111, St. Louis, MO, USA
| | - Rajat Dhar
- Department of Neurology, Washington University School of Medicine, 660 S Euclid Avenue, Campus Box 8111, St. Louis, MO, USA.
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Winkelmeier L, Heit JJ, Broocks G, Prüter J, Heitkamp C, Schell M, Albers GW, Lansberg MG, Wintermark M, Kemmling A, Stracke CP, Guenego A, Paech D, Fiehler J, Faizy TD. Association between occlusion location, net water uptake and ischemic lesion growth in large vessel anterior circulation strokes. J Cereb Blood Flow Metab 2024; 44:1352-1361. [PMID: 38329032 PMCID: PMC11342730 DOI: 10.1177/0271678x241232193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 12/28/2023] [Accepted: 01/14/2024] [Indexed: 02/09/2024]
Abstract
Ischemic lesion net water uptake (NWU) represents a quantitative imaging biomarker for cerebral edema in acute ischemic stroke. Data on NWU for distinct occlusion locations remain scarce, but might help to improve the prognostic value of NWU. In this retrospective multicenter cohort study, we compared NWU between patients with proximal large vessel occlusion (pLVO; ICA or proximal M1) and distal large vessel occlusion (dLVO; distal M1 or M2). NWU was quantified by densitometric measurements of the early ischemic region. Arterial collateral status was assessed using the Maas scale. Regression analysis was used to investigate the relationship between occlusion location, NWU and ischemic lesion growth. A total of 685 patients met inclusion criteria. Early ischemic lesion NWU was higher in patients with pLVO compared with dLVO (7.7% vs 3.9%, P < .001). The relationship between occlusion location and NWU was partially mediated by arterial collateral status. NWU was associated with absolute ischemic lesion growth between admission and follow-up imaging (β estimate, 5.50, 95% CI, 3.81-7.19, P < .001). This study establishes a framework for the relationship between occlusion location, arterial collateral status, early ischemic lesion NWU and ischemic lesion growth. Future prognostic thresholds for NWU might be optimized by adjusting for the occlusion location.
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Affiliation(s)
- Laurens Winkelmeier
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jeremy J Heit
- Department of Neuroradiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Gabriel Broocks
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Julia Prüter
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Christian Heitkamp
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Maximilian Schell
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Gregory W Albers
- Department of Neurology, Stanford University School of Medicine, Stanford, CA, USA
| | - Maarten G Lansberg
- Department of Neurology, Stanford University School of Medicine, Stanford, CA, USA
| | - Max Wintermark
- Department of Neuroradiology, MD Anderson, Houston, Texas, USA
| | - André Kemmling
- Department of Neuroradiology, University Marburg, Marburg, Germany
| | | | - Adrien Guenego
- Department of Neuroradiology, Erasme Medical Center, Brussels, Belgium
| | - Daniel Paech
- Clinic for Neuroradiology, University Hospital Bonn, Bonn, Germany
| | - Jens Fiehler
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Tobias D Faizy
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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Guasch-Jiménez M, Dhar R, Kumar A, Cifarelli J, Ezcurra-Díaz G, Lambea-Gil Á, Ramos-Pachón A, Martínez-Domeño A, Prats-Sánchez L, Guisado-Alonso D, Fernández-Cadenas I, Aguilera-Simón A, Marín R, Martínez-González JP, Ortega-Quintanilla J, Fernández-Pérez I, Avellaneda-Gómez C, Rodríguez-Pardo J, de Celis E, Moniche F, Freijo MDM, Cortijo E, Trillo S, Camps-Renom P, Martí-Fábregas J. Early automated cerebral edema assessment following endovascular therapy: impact on stroke outcome. J Neurointerv Surg 2024:jnis-2024-021641. [PMID: 38637151 DOI: 10.1136/jnis-2024-021641] [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: 02/23/2024] [Accepted: 04/02/2024] [Indexed: 04/20/2024]
Abstract
BACKGROUND Cerebral edema (CED) is associated with poorer outcome in patients with acute ischemic stroke (AIS). The aim of the study was to investigate the factors contributing to greater early CED formation in patients with AIS who underwent endovascular therapy (EVT) and its association with functional outcome. METHODS We conducted a multicenter cohort study of patients with an anterior circulation AIS undergoing EVT. The volume of cerebrospinal fluid (CSF) was extracted from baseline and 24-hour follow-up CT using an automated algorithm. The severity of CED was quantified by the percentage reduction in CSF volume between CT scans (∆CSF). The primary endpoint was a shift towards an unfavorable outcome, assessed by modified Rankin Scale (mRS) score at 3 months. Multivariable ordinal logistic regression analyses were performed. The ∆CSF threshold that predicted unfavorable outcome was selected using receiver operating characteristic curve analysis. RESULTS We analyzed 201 patients (mean age 72.7 years, 47.8% women) in whom CED was assessable for 85.6%. Higher systolic blood pressure during EVT and failure to achieve modified Thrombolysis In Cerebral Infarction (mTICI) 3 were found to be independent predictors of greater CED. ∆CSF was independently associated with the probability of a one-point worsening in the mRS score (common odds ratio (cOR) 1.05, 95% CI 1.03 to 1.08) after adjusting for age, baseline mRS, National Institutes of Health Stroke Scale (NIHSS), and number of passes. Displacement of more than 25% of CSF was associated with an unfavorable outcome (OR 6.09, 95% CI 3.01 to 12.33) and mortality (OR 6.72, 95% CI 2.94 to 15.32). CONCLUSIONS Early CED formation in patients undergoing EVT was affected by higher blood pressure and incomplete reperfusion. The extent of early CED, measured by automated ∆CSF, was associated with worse outcomes.
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Affiliation(s)
- Marina Guasch-Jiménez
- Neurology, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
- Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Rajat Dhar
- Neurology, Washington University in St Louis School of Medicine, St Louis, Missouri, USA
| | - Atul Kumar
- Neurology, Washington University in St Louis School of Medicine, St Louis, Missouri, USA
| | - Julien Cifarelli
- Neurology, Washington University in St Louis School of Medicine, St Louis, Missouri, USA
| | - Garbiñe Ezcurra-Díaz
- Neurology, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
- Stroke Unit, Institut de Recerca Sant Pau (IIB-SANT PAU), Barcelona, Spain
| | - Álvaro Lambea-Gil
- Neurology, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
- Stroke Unit, Institut de Recerca Sant Pau (IIB-SANT PAU), Barcelona, Spain
| | - Anna Ramos-Pachón
- Neurology, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
- Stroke Unit, Institut de Recerca Sant Pau (IIB-SANT PAU), Barcelona, Spain
| | - Alejandro Martínez-Domeño
- Neurology, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
- Stroke Unit, Institut de Recerca Sant Pau (IIB-SANT PAU), Barcelona, Spain
| | - Luis Prats-Sánchez
- Neurology, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
- Stroke Unit, Institut de Recerca Sant Pau (IIB-SANT PAU), Barcelona, Spain
| | - Daniel Guisado-Alonso
- Neurology, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
- Stroke Unit, Institut de Recerca Sant Pau (IIB-SANT PAU), Barcelona, Spain
| | - Israel Fernández-Cadenas
- Neurology, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
- Stroke Unit, Institut de Recerca Sant Pau (IIB-SANT PAU), Barcelona, Spain
| | - Ana Aguilera-Simón
- Neurology, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
- Stroke Unit, Institut de Recerca Sant Pau (IIB-SANT PAU), Barcelona, Spain
| | - Rebeca Marín
- Neurology, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
- Stroke Unit, Institut de Recerca Sant Pau (IIB-SANT PAU), Barcelona, Spain
| | | | | | | | | | | | | | | | | | - Elisa Cortijo
- Neurology, Valladolid University Hospital, Valladolid, Spain
| | - Santiago Trillo
- Neurology, Hospital Universitario de la Princesa, Madrid, Spain
| | - Pol Camps-Renom
- Neurology, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
- Stroke Unit, Institut de Recerca Sant Pau (IIB-SANT PAU), Barcelona, Spain
| | - Joan Martí-Fábregas
- Neurology, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
- Stroke Unit, Institut de Recerca Sant Pau (IIB-SANT PAU), Barcelona, Spain
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Bui Q, Kumar A, Chen Y, Hamzehloo A, Heitsch L, Slowik A, Strbian D, Lee JM, Dhar R. CSF-Based Volumetric Imaging Biomarkers Highlight Incidence and Risk Factors for Cerebral Edema After Ischemic Stroke. Neurocrit Care 2024; 40:303-313. [PMID: 37188885 PMCID: PMC11025464 DOI: 10.1007/s12028-023-01742-0] [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: 01/24/2023] [Accepted: 04/19/2023] [Indexed: 05/17/2023]
Abstract
BACKGROUND Cerebral edema has primarily been studied using midline shift or clinical deterioration as end points, which only captures the severe and delayed manifestations of a process affecting many patients with stroke. Quantitative imaging biomarkers that measure edema severity across the entire spectrum could improve its early detection, as well as identify relevant mediators of this important stroke complication. METHODS We applied an automated image analysis pipeline to measure the displacement of cerebrospinal fluid (ΔCSF) and the ratio of lesional versus contralateral hemispheric cerebrospinal fluid (CSF) volume (CSF ratio) in a cohort of 935 patients with hemispheric stroke with follow-up computed tomography scans taken a median of 26 h (interquartile range 24-31) after stroke onset. We determined diagnostic thresholds based on comparison to those without any visible edema. We modeled baseline clinical and radiographic variables against each edema biomarker and assessed how each biomarker was associated with stroke outcome (modified Rankin Scale at 90 days). RESULTS The displacement of CSF and CSF ratio were correlated with midline shift (r = 0.52 and - 0.74, p < 0.0001) but exhibited broader ranges. A ΔCSF of greater than 14% or a CSF ratio below 0.90 identified those with visible edema: more than half of the patients with stroke met these criteria, compared with only 14% who had midline shift at 24 h. Predictors of edema across all biomarkers included a higher National Institutes of Health Stroke Scale score, a lower Alberta Stroke Program Early CT score, and lower baseline CSF volume. A history of hypertension and diabetes (but not acute hyperglycemia) predicted greater ΔCSF but not midline shift. Both ΔCSF and a lower CSF ratio were associated with worse outcome, adjusting for age, National Institutes of Health Stroke Scale score, and Alberta Stroke Program Early CT score (odds ratio 1.7, 95% confidence interval 1.3-2.2 per 21% ΔCSF). CONCLUSIONS Cerebral edema can be measured in a majority of patients with stroke on follow-up computed tomography using volumetric biomarkers evaluating CSF shifts, including in many without visible midline shift. Edema formation is influenced by clinical and radiographic stroke severity but also by chronic vascular risk factors and contributes to worse stroke outcomes.
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Affiliation(s)
- Quoc Bui
- Department of Neurology, Washington University School of Medicine, 660 S Euclid Avenue, Campus Box 8111, St. Louis, MO, USA
| | - Atul Kumar
- Department of Neurology, Washington University School of Medicine, 660 S Euclid Avenue, Campus Box 8111, St. Louis, MO, USA
| | - Yasheng Chen
- Department of Neurology, Washington University School of Medicine, 660 S Euclid Avenue, Campus Box 8111, St. Louis, MO, USA
| | - Ali Hamzehloo
- Department of Neurology, Washington University School of Medicine, 660 S Euclid Avenue, Campus Box 8111, St. Louis, MO, USA
| | - Laura Heitsch
- Department of Emergency Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Agnieszka Slowik
- Department of Neurology, Jagiellonian University Medical College, Krakow, Poland
| | - Daniel Strbian
- Department of Neurology, Helsinki University Hospital, Helsinki, Finland
| | - Jin-Moo Lee
- Department of Neurology, Washington University School of Medicine, 660 S Euclid Avenue, Campus Box 8111, St. Louis, MO, USA
| | - Rajat Dhar
- Department of Neurology, Washington University School of Medicine, 660 S Euclid Avenue, Campus Box 8111, St. Louis, MO, USA.
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Christensen S, Demeestere J, Verhaaren B, Heit JJ, Von Stein EL, Madill ES, Loube DK, Dugue R, Rengarajan S, Mlynash M, Albers GW, Lemmens R, Lansberg MG. Semiautomated Detection of Early Infarct Signs on Noncontrast CT Improves Interrater Agreement. Stroke 2023; 54:3090-3096. [PMID: 37909206 PMCID: PMC10843172 DOI: 10.1161/strokeaha.123.044058] [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: 06/05/2023] [Accepted: 10/13/2023] [Indexed: 11/02/2023]
Abstract
BACKGROUND Acute ischemic infarct identification on noncontrast computed tomography (NCCT) is highly variable between raters. A semiautomated method for segmentation of acute ischemic lesions on NCCT may improve interrater reliability. METHODS Patients with successful endovascular reperfusion from the DEFUSE 3 trial (Endovascular Therapy Following Imaging Evaluation for Ischemic Stroke) were included. We created relative NCCT (rNCCT) color-gradient overlays by comparing the density of a voxel on NCCT to the homologous region in the contralateral hemisphere. Regions with a relative hypodensity of at least 5% were visualized. We coregistered baseline and follow-up images. Two neuroradiologists and 6 nonradiologists segmented the acute ischemic lesion on the baseline scans with 2 methods: (1) manually outlining hypodense regions on the NCCT (unassisted segmentation) and (2) manually excluding areas deemed outside of the ischemic lesion on the rNCCT color map (rNCCT-assisted segmentation). Voxelwise interrater agreement was quantified using the Dice similarity coefficient and volumetric agreement between raters with the detection index (DI), defined as the true positive volume minus the false positive volume. RESULTS From a total of 92, we included 61 patients. Median age was 59 (64-77), and 57% were female. Stroke onset was known in 39%. Onset to NCCT was median, 8.5 hours (7-11) and median 10 hours (8.4-11.5) in patients with known and unknown onset, respectively. Compared with unassisted NCCT segmentation, rNCCT-assisted segmentation increased the Dice similarity coefficient by >50% for neuroradiologists (Dice similarity coefficient, 0.38 versus 0.83; P<0.001) and nonradiologists (Dice similarity coefficient, 0.14 versus 0.84; P<0.001), and improved the DI among nonradiologists (mean improvement, 5.8 mL [95% CI, 3.1-8.5] mL, P<0.001) but not among neuroradiologists. CONCLUSIONS The high variability of manual segmentations of the acute ischemic lesion on NCCT is greatly reduced using semiautomated rNCCT. The rNCCT map may therefore aid acute infarct detection and provide more reliable infarct estimates for clinicians with less experience.
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Affiliation(s)
| | - Jelle Demeestere
- KU Leuven – University of Leuven, Department of Neurosciences, Experimental Neurology, Leuven, Belgium
- University Hospitals Leuven, Department of Neurology, Leuven, Belgium
| | | | | | | | | | | | | | | | | | | | - Robin Lemmens
- KU Leuven – University of Leuven, Department of Neurosciences, Experimental Neurology, Leuven, Belgium
- University Hospitals Leuven, Department of Neurology, Leuven, Belgium
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Dhar R, Kumar A, Chen Y, Begunova Y, Olexa M, Prasad A, Carey G, Gonzalez I, Bhatia K, Hamed M, Heitsch L, Mainali S, Petersen N, Lee JM. Imaging biomarkers of cerebral edema automatically extracted from routine CT scans of large vessel occlusion strokes. J Neuroimaging 2023; 33:606-616. [PMID: 37095592 PMCID: PMC10524672 DOI: 10.1111/jon.13109] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 04/13/2023] [Accepted: 04/15/2023] [Indexed: 04/26/2023] Open
Abstract
BACKGROUND AND PURPOSE Volumetric and densitometric biomarkers have been proposed to better quantify cerebral edema after stroke, but their relative performance has not been rigorously evaluated. METHODS Patients with large vessel occlusion stroke from three institutions were analyzed. An automated pipeline extracted brain, cerebrospinal fluid (CSF), and infarct volumes from serial CTs. Several biomarkers were measured: change in global CSF volume from baseline (ΔCSF); ratio of CSF volumes between hemispheres (CSF ratio); and relative density of infarct region compared with mirrored contralateral region (net water uptake [NWU]). These were compared to radiographic standards, midline shift and relative hemispheric volume (RHV) and malignant edema, defined as deterioration resulting in need for osmotic therapy, decompressive surgery, or death. RESULTS We analyzed 255 patients with 210 baseline CTs, 255 24-hour CTs, and 81 72-hour CTs. Of these, 35 (14%) developed malignant edema and 63 (27%) midline shift. CSF metrics could be calculated for 310 (92%), while NWU could only be obtained from 193 (57%). Peak midline shift was correlated with baseline CSF ratio (ρ = -.22) and with CSF ratio and ΔCSF at 24 hours (ρ = -.55/.63) and 72 hours (ρ = -.66/.69), but not with NWU (ρ = .15/.25). Similarly, CSF ratio was correlated with RHV (ρ = -.69/-.78), while NWU was not. Adjusting for age, National Institutes of Health Stroke Scale, tissue plasminogen activator treatment, and Alberta Stroke Program Early CT Score, CSF ratio (odds ratio [OR]: 1.95 per 0.1, 95% confidence interval [CI]: 1.52-2.59) and ΔCSF at 24 hours (OR: 1.87 per 10%, 95% CI: 1.47-2.49) were associated with malignant edema. CONCLUSION CSF volumetric biomarkers can be automatically measured from almost all routine CTs and correlate better with standard edema endpoints than net water uptake.
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Affiliation(s)
- Rajat Dhar
- Department of Neurology, Washington University School of Medicine, Saint Louis, MO
| | - Atul Kumar
- Department of Neurology, Washington University School of Medicine, Saint Louis, MO
| | - Yasheng Chen
- Department of Neurology, Washington University School of Medicine, Saint Louis, MO
| | | | - Madelynne Olexa
- Department of Neurology, Yale School of Medicine, New Haven, CT
| | - Ayush Prasad
- Department of Neurology, Yale School of Medicine, New Haven, CT
| | - Grace Carey
- Department of Neurology, Washington University School of Medicine, Saint Louis, MO
| | - Isabella Gonzalez
- Department of Neurology, Washington University School of Medicine, Saint Louis, MO
| | - Kunal Bhatia
- Department of Neurology, Washington University School of Medicine, Saint Louis, MO
| | - Mohammad Hamed
- Department of Neurology, The Ohio State University, Columbus, OH
| | - Laura Heitsch
- Department of Emergency Medicine, Washington University School of Medicine, Saint Louis, MO
| | - Shraddha Mainali
- Department of Neurology, Virginia Commonwealth University, Richmond, VA
| | - Nils Petersen
- Department of Neurology, Yale School of Medicine, New Haven, CT
| | - Jin-Moo Lee
- Department of Neurology, Washington University School of Medicine, Saint Louis, MO
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Gu Y, Zhou C, Piao Z, Yuan H, Jiang H, Wei H, Zhou Y, Nan G, Ji X. Cerebral edema after ischemic stroke: Pathophysiology and underlying mechanisms. Front Neurosci 2022; 16:988283. [PMID: 36061592 PMCID: PMC9434007 DOI: 10.3389/fnins.2022.988283] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 08/01/2022] [Indexed: 11/30/2022] Open
Abstract
Ischemic stroke is associated with increasing morbidity and has become the main cause of death and disability worldwide. Cerebral edema is a serious complication arising from ischemic stroke. It causes an increase in intracranial pressure, rapid deterioration of neurological symptoms, and formation of cerebral hernia, and is an important risk factor for adverse outcomes after stroke. To date, the detailed mechanism of cerebral edema after stroke remains unclear. This limits advances in prevention and treatment strategies as well as drug development. This review discusses the classification and pathological characteristics of cerebral edema, the possible relationship of the development of cerebral edema after ischemic stroke with aquaporin 4, the SUR1-TRPM4 channel, matrix metalloproteinase 9, microRNA, cerebral venous reflux, inflammatory reactions, and cerebral ischemia/reperfusion injury. It also summarizes research on new therapeutic drugs for post-stroke cerebral edema. Thus, this review provides a reference for further studies and for clinical treatment of cerebral edema after ischemic stroke.
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Affiliation(s)
- Yuhang Gu
- Department of Neurology, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Chen Zhou
- Beijing Institute of Brain Disorders, Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Capital Medical University, Beijing, China
| | - Zhe Piao
- Department of Neurology, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Honghua Yuan
- Department of Neurology, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Huimin Jiang
- Beijing Institute of Brain Disorders, Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Capital Medical University, Beijing, China
| | - Huimin Wei
- Advanced Innovation Center for Big Data-Based Precision Medicine, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Yifan Zhou
- Beijing Institute of Brain Disorders, Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Capital Medical University, Beijing, China
| | - Guangxian Nan
- Department of Neurology, China-Japan Union Hospital of Jilin University, Changchun, China
- *Correspondence: Guangxian Nan,
| | - Xunming Ji
- Beijing Institute of Brain Disorders, Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Capital Medical University, Beijing, China
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China
- Xunming Ji,
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