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Wang J, Xiong X, Ma Y, Yin Y, Ye J, Fu J. Higher baseline subcortical net water uptake in computed tomography predicts malignant middle cerebral artery infarction in patients with acute ischemic stroke. Clin Radiol 2024; 79:e1339-e1346. [PMID: 39198107 DOI: 10.1016/j.crad.2024.08.001] [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: 12/07/2023] [Revised: 07/07/2024] [Accepted: 08/01/2024] [Indexed: 09/01/2024]
Abstract
AIM The objective of this study was to assess the predictive performance of net water uptake (NWU) based on the Alberta stroke program early CT score (ASPECTS) from different ASPECT regions in relation to the development of malignant middle cerebral artery (MCA) infarction. MATERIAL AND METHODS Patients with acute ischemic stroke (AIS) of the MCA territory were retrospectively enrolled between January 2019 and July 2022. Patients were divided into two groups according to the follow-up CT after 24-48 hours: malignant and nonmalignant infarction. NWUs were measured on diverse ASPECT regions on admission non-contrast CT, namely affected ASPECTS-NWU (af-ASPECTS-NWU), subcortical ASPECTS-NWU (sc-ASPECTS-NWU), and cortical ASPECTS-NWU (c-ASPECTS-NWU). Baseline characteristics were collected for univariate analyses and multivariate regression analyses to explore the independent risk factors for malignant infarction. Receiver operating characteristic (ROC) curves were plotted and compared. RESULTS patients were included in the final analysis. Malignant MCA infarction was achieved in 42 (27.45%) patients and nonmalignant was 111 (72.55%). Compared with the nonmalignant infarction group, higher baseline National Institute of Health stroke scale (NIHSS) score, af-ASPECTS-NWU, c-ASPECTS-NWU, sc-ASPECTS-NWU, and lower ASPECTS were noted in the malignant infarction group (all P < 0.001). Multivariate logistic regression showed that only baseline sc-ASPECTS-NWU (>3.6%) was a positive factor for malignant MCA infarction. The ROC analysis indicated the highest predictive value of sc-ASPECTS-NWU for indicating malignant infarction with the area under ROC curve (AUC) 0.91. CONCLUSION Higher baseline sc-ASPECTS-NWU was a quantitative predictor for malignant MCA infarction in patients with AIS, which could be helpful for treatment decisions.
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Affiliation(s)
- J Wang
- Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou 215006, Jiangsu, China
| | - X Xiong
- Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou 215006, Jiangsu, China
| | - Y Ma
- Department of Interventional Radiology, Northern Jiangsu People's Hospital, Yangzhou 225001, Jiangsu, China
| | - Y Yin
- Department of Radiology, Northern Jiangsu People's Hospital, Yangzhou 225001, Jiangsu, China
| | - J Ye
- Department of Radiology, Northern Jiangsu People's Hospital, Yangzhou 225001, Jiangsu, China
| | - J Fu
- Department of Radiology, Northern Jiangsu People's Hospital, Yangzhou 225001, Jiangsu, China.
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Geest V, Steffen P, Winkelmeier L, Faizy TD, Heitkamp C, Kniep H, Meyer L, Zelenak K, Götz T, Fiehler J, Broocks G. Association of clinical outcome and imaging endpoints in extensive ischemic stroke-comparing measures of cerebral edema. Eur Radiol 2024; 34:6785-6795. [PMID: 38627288 PMCID: PMC11399218 DOI: 10.1007/s00330-024-10694-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 01/31/2024] [Accepted: 02/17/2024] [Indexed: 09/15/2024]
Abstract
OBJECTIVES Ischemic edema is associated with worse clinical outcomes, especially in large infarcts. Computed tomography (CT)-based densitometry allows direct quantification of absolute edema volume (EV), which challenges indirect biomarkers like midline shift (MLS). We compared EV and MLS as imaging biomarkers of ischemic edema and predictors of malignant infarction (MI) and very poor clinical outcome (VPCO) in early follow-up CT of patients with large infarcts. MATERIALS AND METHODS Patients with anterior circulation stroke, large vessel occlusion, and Alberta Stroke Program Early CT Score (ASPECTS) ≤ 5 were included. VPCO was defined as modified Rankin scale (mRS) ≥ 5 at discharge. MLS and EV were quantified at admission and in follow-up CT 24 h after admission. Correlation was analyzed between MLS, EV, and total infarct volume (TIV). Multivariable logistic regression and receiver operating characteristics curve analyses were performed to compare MLS and EV as predictors of MI and VPCO. RESULTS Seventy patients (median TIV 110 mL) were analyzed. EV showed strong correlation to TIV (r = 0.91, p < 0.001) and good diagnostic accuracy to classify MI (EV AUC 0.74 [95%CI 0.61-0.88] vs. MLS AUC 0.82 [95%CI 0.71-0.94]; p = 0.48) and VPCO (EV AUC 0.72 [95%CI 0.60-0.84] vs. MLS AUC 0.69 [95%CI 0.57-0.81]; p = 0.5) with no significant difference compared to MLS, which did not correlate with TIV < 110 mL (r = 0.17, p = 0.33). CONCLUSION EV might serve as an imaging biomarker of ischemic edema in future studies, as it is applicable to infarcts of all volumes and predicts MI and VPCO in patients with large infarcts with the same accuracy as MLS. CLINICAL RELEVANCE STATEMENT Utilization of edema volume instead of midline shift as an edema parameter would allow differentiation of patients with large and small infarcts based on the extent of edema, with possible advantages in the prediction of treatment effects, complications, and outcome. KEY POINTS • CT densitometry-based absolute edema volume challenges midline shift as current gold standard measure of ischemic edema. • Edema volume predicts malignant infarction and poor clinical outcome in patients with large infarcts with similar accuracy compared to MLS irrespective of the lesion extent. • Edema volume might serve as a reliable quantitative imaging biomarker of ischemic edema in acute stroke triage independent of lesion size.
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Affiliation(s)
- Vincent Geest
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany.
| | - Paul Steffen
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany
| | - Laurens Winkelmeier
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany
| | - Tobias D Faizy
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany
| | - Christian Heitkamp
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany
| | - Helge Kniep
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany
| | - Lukas Meyer
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany
| | - Kamil Zelenak
- Department of Radiology, Comenius University's Jessenius Faculty of Medicine and University Hospital, Martin, Slovakia
| | - Thomalla Götz
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jens Fiehler
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany
| | - Gabriel Broocks
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany
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Broocks G, Meyer L, Hanning U, Faizy TD, Bechstein M, Kniep H, Van Horn N, Schön G, Barow E, Thomalla G, Fiehler J, Kemmling A. Haemorrhage after thrombectomy with adjuvant thrombolysis in unknown onset stroke depends on high early lesion water uptake. Stroke Vasc Neurol 2024; 9:390-398. [PMID: 37699728 PMCID: PMC11420915 DOI: 10.1136/svn-2022-002264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Accepted: 08/29/2023] [Indexed: 09/14/2023] Open
Abstract
BACKGROUND AND PURPOSE In wake-up stroke, CT-based quantitative net water uptake (NWU) might serve as an alternative tool to MRI to guide intravenous thrombolysis with alteplase (IVT). An important complication after IVT is symptomatic intracerebral haemorrhage (sICH). As NWU directly implies ischaemic lesion progression, reflecting blood-brain barrier injury, we hypothesised that NWU predicts sICH in patients who had a ischaemic stroke undergoing thrombectomy with unknown onset. METHODS Consecutive analysis of all patients who had unknown onset anterior circulation ischaemic stroke who underwent CT at baseline and endovascular treatment between December 2016 and October 2020. Quantitative NWU was assessed on baseline CT. The primary endpoint was sICH. The association of NWU and other baseline parameters to sICH was investigated using inverse-probability weighting (IPW) analysis. RESULTS A total of 88 patients were included, of which 46 patients (52.3%) received IVT. The median NWU was 10.7% (IQR: 5.1-17.7). The proportion of patients with any haemorrhage and sICH were 35.2% and 13.6%. NWU at baseline was significantly higher in patients with sICH (19.1% vs 9.6%, p<0.0001) and the median Alberta Stroke Program Early CT Score (ASPECTS) was lower (5 vs 8, p<0.0001). Following IPW, there was no association between IVT and sICH in unadjusted analysis. However, after adjusting for ASPECTS and NWU, there was a significant association between IVT administration and sICH (14.6%, 95% CI: 3.3% to 25.6%, p<0.01). CONCLUSION In patients with ischaemic stroke with unknown onset, the combination of high NWU with IVT is directly linked to higher rates of sICH. Besides ASPECTS for evaluating the extent of the early infarct lesion, quantitative NWU could be used as an imaging biomarker to assess the degree of blood-brain barrier damage in order to predict the risk of sICH in patients with wake up stroke.
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Affiliation(s)
- Gabriel Broocks
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Lukas Meyer
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Uta Hanning
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Tobias Djamsched Faizy
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Matthias Bechstein
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Helge Kniep
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Noel Van Horn
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Gerhard Schön
- Department of Medical Biometry and Epidemiology, University Medical Center Hamburg Eppendorf, Hamburg, Germany
| | - Ewgenia Barow
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Götz Thomalla
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jens Fiehler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Andre Kemmling
- Department of Neuroradiology, University Marburg, Marburg, Germany
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Xu H, Zheng M, Liu W, Peng W, Qiu J, Huang W, Zhang J, Xin E, Xia N, Lin R, Qiu C, Cao G, Chen W, Yang Y, Qian Y, Chen J. Enhanced Prediction of Malignant Cerebral Edema in Large Vessel Occlusion with Successful Recanalization Through Automated Weighted Net Water Uptake. World Neurosurg 2024; 188:e312-e319. [PMID: 38796145 DOI: 10.1016/j.wneu.2024.05.101] [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: 04/14/2024] [Accepted: 05/16/2024] [Indexed: 05/28/2024]
Abstract
BACKGROUND Malignant cerebral edema (MCE) is associated with both net water uptake (NWU) and infarct volume. We hypothesized that NWU weighted by the affected Alberta Stroke Program Early Computed Tomography Score (ASPECTS) regions could serve as a quantitative imaging biomarker of aggravated edema development in acute ischemic stroke with large vessel occlusion (LVO). The aim of this study was to evaluate the performance of weighted NWU (wNWU) to predict MCE in patients with mechanical thrombectomy (MT). METHODS We retrospectively analyzed consecutive patients who underwent MT due to LVO. NWU was computed from nonenhanced computed tomography scans upon admission using automated ASPECTS software. wNWU was derived by multiplying NWU with the number of affected ASPECTS regions in the ischemic hemisphere. Predictors of MCE were assessed through multivariate logistic regression analysis and receiver operating characteristic curves. RESULTS NWU and wNWU were significantly higher in MCE patients than in non-MCE patients. Vessel recanalization status influenced the performance of wNWU in predicting MCE. In patients with successful recanalization, wNWU was an independent predictor of MCE (adjusted odds ratio 1.61; 95% confidence interval [CI] 1.24-2.09; P < 0.001). The model integrating wNWU, National Institutes of Health Stroke Scale, and collateral score exhibited an excellent performance in predicting MCE (area under the curve 0.80; 95% CI 0.75-0.84). Among patients with unsuccessful recanalization, wNWU did not influence the development of MCE (adjusted odds ratio 0.99; 95% CI 0.60-1.62; P = 0.953). CONCLUSIONS This study revealed that wNWU at admission can serve as a quantitative predictor of MCE in LVO with successful recanalization after MT and may contribute to the decision for early intervention.
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Affiliation(s)
- Haoli Xu
- Suzhou Medical College of Soochow University, Suzhou, Jiangsu, China; Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Mo Zheng
- Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Wenhui Liu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Weili Peng
- Cancer Center, Department of Interventional Medicine, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Jiamei Qiu
- Hangzhou Normal University, Hangzhou, Zhejiang, China
| | - Wangle Huang
- Department of Nuclear Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Jiaqi Zhang
- Cancer Center, Department of Interventional Medicine, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Enhui Xin
- Department of Research and Development, Shanghai United Imaging Intelligence Co., Ltd., Shanghai, China
| | - Nengzhi Xia
- Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Ru Lin
- Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Chaomin Qiu
- Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Guoquan Cao
- Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Weijian Chen
- Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Yunjun Yang
- Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China; Department of Nuclear Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Yinfeng Qian
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Jun Chen
- Suzhou Medical College of Soochow University, Suzhou, Jiangsu, China; Cancer Center, Department of Interventional Medicine, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China.
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5
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Ghozy S, Amoukhteh M, Hasanzadeh A, Jannatdoust P, Shafie M, Valizadeh P, Hassankhani A, Abbas AS, Kadirvel R, Kallmes DF. Net water uptake as a predictive neuroimaging marker for acute ischemic stroke outcomes: a meta-analysis. Eur Radiol 2024; 34:5308-5316. [PMID: 38276981 DOI: 10.1007/s00330-024-10599-6] [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: 08/09/2023] [Revised: 12/05/2023] [Accepted: 12/23/2023] [Indexed: 01/27/2024]
Abstract
OBJECTIVE To assess the role of net water uptake (NWU) in predicting outcomes in acute ischemic stroke (AIS) patients. METHODS A systematic review and meta-analysis were performed, adhering to established guidelines. The search covered PubMed, Scopus, Web of Science, and Embase databases until July 1, 2023. Eligible studies reporting quantitative ischemic lesion NWU in admission CT scans of AIS patients, stratified based on outcomes, were included. Data analysis was performed using R software version 4.2.1. RESULTS Incorporating 17 original studies with 2217 AIS patients, NWU was significantly higher in patients with poor outcomes compared to those with good outcomes (difference of medians: 5.06, 95% CI: 3.00-7.13, p < 0.001). Despite excluding one outlier study, considerable heterogeneity persisted among the included studies (I2 = 90.8%). The meta-regression and subgroup meta-analyses demonstrated significantly higher NWU in patients with poor functional outcome, as assessed by modified Rankin Scale (difference of medians: 3.83, 95% CI: 1.98-5.68, p < 0.001, I2 = 72.9%), malignant edema/infarct (difference of medians: 8.30, 95% CI: 4.01-12.58, p < 0.001, I2 = 95.6%), and intracranial hemorrhage (difference of medians: 5.43, 95% CI: 0.44-10.43, p = 0.03, I2 = 91.1%). CONCLUSION NWU on admission CT scans shows promise as a predictive marker for outcomes in AIS patients. Prospective, multicenter trials with standardized, automated NWU measurement are crucial for robustly predicting diverse clinical outcomes. CLINICAL RELEVANCE STATEMENT The potential of net water uptake as a biomarker for predicting outcomes in acute ischemic stroke patients holds significant promise. Further validation through additional research could lead to its integration into clinical practice, potentially improving the accuracy of clinical decision-making and allowing for the development of more precise patient care strategies. KEY POINTS • Net water uptake, a CT-based biomarker, quantifies early brain edema after acute ischemic stroke. • Net water uptake is significantly higher in poor outcome acute ischemic stroke patients. • Net water uptake on CT scans holds promise in predicting diverse acute ischemic stroke outcomes.
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Affiliation(s)
- Sherief Ghozy
- Department of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN, 55905, USA
- Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, USA
| | - Melika Amoukhteh
- Department of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN, 55905, USA
- Department of Radiology, Keck School of Medicine, University of Southern California (USC), Los Angeles, CA, USA
| | | | - Payam Jannatdoust
- Department of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN, 55905, USA
| | - Mahan Shafie
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Parya Valizadeh
- Department of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN, 55905, USA
| | - Amir Hassankhani
- Department of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN, 55905, USA.
- Department of Radiology, Keck School of Medicine, University of Southern California (USC), Los Angeles, CA, USA.
| | - Alzhraa Salah Abbas
- Evidence-Based Practice Center, Mayo Clinic, Rochester, MN, USA
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, USA
| | - Ramanathan Kadirvel
- Department of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN, 55905, USA
- Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, USA
| | - David F Kallmes
- Department of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN, 55905, USA
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Kenda M, Lang M, Nee J, Hinrichs C, Dell'Orco A, Salih F, Kemmling A, Nielsen N, Wise M, Thomas M, Düring J, McGuigan P, Cronberg T, Scheel M, Moseby-Knappe M, Leithner C. Regional Brain Net Water Uptake in Computed Tomography after Cardiac Arrest - A Novel Biomarker for Neuroprognostication. Resuscitation 2024; 200:110243. [PMID: 38796092 DOI: 10.1016/j.resuscitation.2024.110243] [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: 03/19/2024] [Accepted: 05/10/2024] [Indexed: 05/28/2024]
Abstract
BACKGROUND Selective water uptake by neurons and glial cells and subsequent brain tissue oedema are key pathophysiological processes of hypoxic-ischemic encephalopathy (HIE) after cardiac arrest (CA). Although brain computed tomography (CT) is widely used to assess the severity of HIE, changes of brain radiodensity over time have not been investigated. These could be used to quantify regional brain net water uptake (NWU), a potential prognostic biomarker. METHODS We conducted an observational prognostic accuracy study including a derivation (single center cardiac arrest registry) and a validation (international multicenter TTM2 trial) cohort. Early (<6 h) and follow-up (>24 h) head CTs of CA patients were used to determine regional NWU for grey and white matter regions after co-registration with a brain atlas. Neurological outcome was dichotomized as good versus poor using the Cerebral Performance Category Scale (CPC) in the derivation cohort and Modified Rankin Scale (mRS) in the validation cohort. RESULTS We included 115 patients (81 derivation, 34 validation) with out-of-hospital (OHCA) and in-hospital cardiac arrest (IHCA). Regional brain water content remained unchanged in patients with good outcome. In patients with poor neurological outcome, we found considerable regional water uptake with the strongest effect in the basal ganglia. NWU >8% in the putamen and caudate nucleus predicted poor outcome with 100% specificity (95%-CI: 86-100%) and 43% (moderate) sensitivity (95%-CI: 31-56%). CONCLUSION This pilot study indicates that NWU derived from serial head CTs is a promising novel biomarker for outcome prediction after CA. NWU >8% in basal ganglia grey matter regions predicted poor outcome while absence of NWU indicated good outcome. NWU and follow-up CTs should be investigated in larger, prospective trials with standardized CT acquisition protocols.
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Affiliation(s)
- Martin Kenda
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Neurology and Experimental Neurology, Augustenburger Platz 1, 13353 Berlin, Germany; Berlin Institute of Health at Charité - Universitätsmedizin Berlin, BIH Biomedical Innovation Academy, BIH Charité Junior Digital Clinician Scientist Program, Charitéplatz 1, 10117 Berlin, Germany.
| | - Margareta Lang
- Department of Clinical Sciences Lund, Radiology, Lund University, Helsingborg Hospital, Lund, Sweden
| | - Jens Nee
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Nephrology and Intensive Care Medicine, Circulatory Arrest Center Berlin, Berlin, Germany
| | - Carl Hinrichs
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Nephrology and Intensive Care Medicine, Circulatory Arrest Center Berlin, Berlin, Germany
| | - Andrea Dell'Orco
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Neuroradiology, Campus Charité, Mitte, Germany
| | - Farid Salih
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Neurology and Experimental Neurology, Augustenburger Platz 1, 13353 Berlin, Germany
| | - André Kemmling
- Department of Neuroradiology, University Hospital Marburg, Marburg, Germany
| | - Niklas Nielsen
- Anaesthesiology and Intensive Care, Department of Clinical Sciences Lund, Helsingborg Hospital, Lund University, Lund, Sweden
| | - Matt Wise
- Adult Critical Care, University Hospital of Wales, Cardiff, UK
| | | | - Joachim Düring
- Department of Clinical Sciences, Anesthesia and Intensive Care, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Peter McGuigan
- Regional Intensive Care Unit, Royal Victoria Hospital, Belfast, UK; Wellcome-Wolfson Institute for Experimental Medicine, Queen's University Belfast, UK
| | - Tobias Cronberg
- Department of Neurology, Skane University Hospital, Lund, Sweden
| | - Michael Scheel
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Neuroradiology, Campus Charité, Mitte, Germany
| | - Marion Moseby-Knappe
- Department of Clinical Sciences Lund, Neurology and Rehabilitation, Lund University, Skåne University Hospital, Lund, Sweden
| | - Christoph Leithner
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Neurology and Experimental Neurology, Augustenburger Platz 1, 13353 Berlin, Germany
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7
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Almallouhi E, Zandpazandi S, Anadani M, Cunningham C, Sowlat MM, Matsukawa H, Orscelik A, Elawady SS, Maier I, Al Kasab S, Jabbour P, Kim JT, Wolfe SQ, Rai A, Starke RM, Psychogios MN, Samaniego EA, Arthur AS, Yoshimura S, Cuellar H, Grossberg JA, Alawieh A, Romano DG, Tanweer O, Mascitelli J, Fragata I, Polifka AJ, Osbun JW, Crosa RJ, Matouk C, Park MS, Levitt MR, Brinjikji W, Moss M, Dumont TM, Williamson R, Navia P, Kan P, De Leacy R, Chowdhry SA, Ezzeldin M, Spiotta AM. Outcomes of mechanical thrombectomy in stroke patients with extreme large infarction core. J Neurointerv Surg 2024:jnis-2023-021046. [PMID: 38041671 DOI: 10.1136/jnis-2023-021046] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Accepted: 11/04/2023] [Indexed: 12/03/2023]
Abstract
BACKGROUND Recent clinical trials have demonstrated that patients with large vessel occlusion (LVO) and large infarction core may still benefit from mechanical thrombectomy (MT). In this study, we evaluate outcomes of MT in LVO patients presenting with extremely large infarction core Alberta Stroke Program Early CT Score (ASPECTS 0-2). METHODS Data from the Stroke Thrombectomy and Aneurysm Registry (STAR) was interrogated. We identified thrombectomy patients presenting with an occlusion in the intracranial internal carotid artery (ICA) or M1 segment of the middle cerebral artery and extremely large infarction core (ASPECTS 0-2). A favorable outcome was defined by achieving a modified Rankin scale of 0-3 at 90 days post-MT. Successful recanalization was defined by achieving a modified Thrombolysis In Cerebral Ischemia (mTICI) score ≥2B. RESULTS We identified 58 patients who presented with ASPECTS 0-2 and underwent MT. Median age was 74.0 (66.3-80.0) years, 30 (51.7%) were females, and 16 (27.6%) patients received intravenous tissue plasminogen activator. There was no difference regarding the location of the occlusion (p=0.57). Aspiration thrombectomy was performed in 34 (64.2%) patients and stent retriever was used in 8 (15.1%) patients. In patients presenting with ASPECTS 0-2 the mortality rate was 41.4%, 31% had mRS 0-3 at day 90, 66.67% ≥70 years of age had mRS of 5-6 at day 90. On multivariable analysis, age, National Institutes of Health Stroke Scale on admission, and successful recanalization (mTICI ≥2B) were independently associated with favorable outcomes. CONCLUSIONS This multicentered, retrospective cohort study suggests that MT may be beneficial in a select group of patients with ASPECTS 0-2.
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Affiliation(s)
- Eyad Almallouhi
- Neuro Interventional Surgery, Sarasota Memorial Hospital, Sarasota, FL, USA
| | - Sara Zandpazandi
- Department of Neurosurgery, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Mohammad Anadani
- Department of Neurosurgery, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Conor Cunningham
- Department of Neurosurgery, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Mohammad-Mahdi Sowlat
- Department of Neurosurgery, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Hidetoshi Matsukawa
- Department of Neurosurgery, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Atakan Orscelik
- Department of Radiology, Mayo Clinic Rochester, Rochester, Minnesota, USA
| | - Sameh Samir Elawady
- Department of Neurosurgery, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Ilko Maier
- Neurology, University Medicine Goettingen, Goettingen, Germany
| | - Sami Al Kasab
- Department of Neurosurgery, Medical University of South Carolina, Charleston, South Carolina, USA
- Neurology, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Pascal Jabbour
- Neurological surgery, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Joon-Tae Kim
- Chonnam National University Hospital, Gwangju, Korea (the Republic of)
| | - Stacey Q Wolfe
- Neurosurgery, Wake Forest School of Medicine, Winston Salem, North Carolina, USA
| | - Ansaar Rai
- Radiology, West Virginia University Hospitals, Morgantown, West Virginia, USA
| | - Robert M Starke
- Neurological Surgery, University of Miami Miller School of Medicine, Miami, Florida, USA
- University of Miami School of Medicine, Miami, Florida, USA
| | - Marios-Nikos Psychogios
- Department of Neuroradiology, Clinic of Radiology and Nuclear Medicine, University Hospital Basel, Basel, Switzerland
| | - Edgar A Samaniego
- Neurology, The University of Iowa Hospitals and Clinics, Iowa City, Iowa, USA
| | - Adam S Arthur
- Semmes-Murphey Neurologic and Spine Institute, Memphis, Tennessee, USA
- Neurosurgery, University of Tennessee Health Science Center, Memphis, Tennessee, USA
| | - Shinichi Yoshimura
- Department of Neurosurgery, Hyogo College of Medicine, Nishinomiya, Japan
| | - Hugo Cuellar
- Neurosurgery, LSUHSC, Shreveport, Louisiana, USA
| | - Jonathan A Grossberg
- Neurosurgery and Radiology, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Ali Alawieh
- Department of Neurosurgery, Emory University, Atlanta, Georgia, USA
| | - Daniele G Romano
- Neurordiology, University Hospital 'San Giovanni di Dio e Ruggi d'Aragona', Salerno, Italy
| | | | - Justin Mascitelli
- Deparment of Neurosurgery, The University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
| | - Isabel Fragata
- Neuroradiology, Centro Hospitalar de Lisboa Central, Lisboa, Portugal
| | - Adam J Polifka
- Department of Neurosurgery, University of Florida, Gainesville, Florida, USA
| | - Joshua W Osbun
- Neurosurgery, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USA
| | | | - Charles Matouk
- Neurosurgery, Yale University, New Haven, Connecticut, USA
| | - Min S Park
- University of Virginia, Charlottesville, Virginia, USA
| | - Michael R Levitt
- Neurological Surgery, University of Washington School of Medicine, Seattle, Washington, USA
| | | | - Mark Moss
- Washington Regional Medical Center, Fayetteville, Arkansas, USA
| | - Travis M Dumont
- Department of Surgery, Division of Neurosurgery, University of Arizona/Arizona Health Science Center, Tucson, Arizona, USA
| | | | - Pedro Navia
- Interventional and Diagnostic Neuroradiology, Hospital Universitario La Paz, Madrid, Spain
| | - Peter Kan
- Neurosurgery, The University of Texas Medical Branch at Galveston, Galveston, Texas, USA
| | - Reade De Leacy
- Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Shakeel A Chowdhry
- Neurosurgery, NorthShore University HealthSystem, Evanston, Illinois, USA
| | - Mohamad Ezzeldin
- Department of Clinical Sciences, University of Houston, HCA Houston Healthcare Kingwood, University of Houston, Houston, Texas, USA
- Neuroendovascular surgery, HCA Houston, Houston, Texas, USA
| | - Alejandro M Spiotta
- Department of Neurosurgery, Medical University of South Carolina, Charleston, South Carolina, USA
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8
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Wu H, Shi J, Sun X, Lu M, Liao A, Li Y, Xiao L, Zhou C, Dong W, Geng Z, Yuan L, Guo R, Chen M, Cheng X, Zhu W. Predictive effect of net water uptake on futile recanalisation in patients with acute large-vessel occlusion stroke. Clin Radiol 2024; 79:e599-e606. [PMID: 38310056 DOI: 10.1016/j.crad.2024.01.009] [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: 05/19/2023] [Revised: 12/03/2023] [Accepted: 01/06/2024] [Indexed: 02/05/2024]
Abstract
AIM To determine whether net water uptake (NWU) based on automated software evaluation could predict futile recanalisation in patients with acute anterior circulation large-vessel occlusion (LVO). MATERIALS AND METHODS Patients with acute anterior circulation LVO undergoing mechanical thrombectomy in Jinling Hospital were evaluated retrospectively. NWU and other baseline data were evaluated by performing univariate and multivariate analyses. The primary endpoint was 90-day modified Rankin scale score ≥3. A nomogram to predict poor clinical outcomes was developed based on multivariate logistic regression analysis. RESULTS Overall, 135 patients who underwent thrombectomy with a TICI grade ≥2b were enrolled. In multivariate logistic regression analysis, the following factors were identified as independent predictors of futile recanalisation: age (odds ratio [OR]: 1.055, 95 % confidence interval [CI]: 1.004-1.110, p=0.035), female (OR: 0.289, 95 % CI: 0.098-0.850, p=0.024), hypertension (OR: 3.182, 95 % CI: 1.160-8.728, p=0.025), high blood glucose level (OR: 1.36, 95 % CI: 1.087-1.701, p=0.007), admission National Institutes of Health Stroke Scale score (OR: 1.082, 95 % CI: 1.003-1.168, p=0.043), and NWU (OR: 1.312, 95 % CI: 1.038-1.659, p=0.023). CONCLUSIONS NWU based on Alberta Stroke Program Early Computed Tomography (CT) Score (ASPECTS) could be used to predict the occurrence of futile recanalisation in patients with acute anterior circulation LVO ischaemic stroke.
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Affiliation(s)
- H Wu
- Department of Neurology, Third People's Hospital of Yancheng, Yancheng 224001, Jiangsu, China; Department of Neurology, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Nanjing 210002, Jiangsu, China
| | - J Shi
- Department of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, Nanjing, Jiangsu, China
| | - X Sun
- Department of Neurology, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Nanjing 210002, Jiangsu, China
| | - M Lu
- Department of Neurology, Jinling Hospital, Nanjing Medical University, Nanjing, Jiangsu, China
| | - A Liao
- Department of Neurology, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Nanjing 210002, Jiangsu, China
| | - Y Li
- Department of Neurology, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, Nanjing, Jiangsu, China
| | - L Xiao
- Department of Neurology, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Nanjing 210002, Jiangsu, China
| | - C Zhou
- Department of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, Nanjing, Jiangsu, China
| | - W Dong
- Department of Neurology, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Nanjing 210002, Jiangsu, China
| | - Z Geng
- Department of Neurology, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Nanjing 210002, Jiangsu, China
| | - L Yuan
- Department of Neurology, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Nanjing 210002, Jiangsu, China
| | - R Guo
- Department of Neurology, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Nanjing 210002, Jiangsu, China
| | - M Chen
- Department of Neurology, Third People's Hospital of Yancheng, Yancheng 224001, Jiangsu, China
| | - X Cheng
- Department of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, Nanjing, Jiangsu, China.
| | - W Zhu
- Department of Neurology, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Nanjing 210002, Jiangsu, China.
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9
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Klapproth S, Meyer L, Kniep H, Bechstein M, Kyselyova A, Hanning U, Schön G, Rimmele L, Fiehler J, Broocks G. Effect of short- versus long-term serum glucose levels on early ischemic water homeostasis and functional outcome in patients with large vessel occlusion stroke. Eur J Neurol 2024; 31:e16166. [PMID: 38015448 PMCID: PMC11235831 DOI: 10.1111/ene.16166] [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: 08/25/2023] [Revised: 11/08/2023] [Accepted: 11/09/2023] [Indexed: 11/29/2023]
Abstract
BACKGROUND AND PURPOSE In ischemic stroke, the impact of short- versus long-term blood glucose level (BGL) on early lesion pathophysiology and functional outcome has not been assessed. The purpose of this study was to directly compare the effect of long-term blood glucose (glycated hemoglobin [HbA1c]) versus serum BGL on early edema formation and functional outcome. METHODS Anterior circulation ischemic stroke patients who underwent mechanical thrombectomy after multimodal computed tomography (CT) on admission were analyzed. Endpoints were early ischemic cerebral edema, measured by quantitative net water uptake (NWU) on initial CT and functional independence at Day 90. RESULTS A total of 345 patients were included. Patients with functional independence had significantly lower baseline NWU (3.1% vs. 8.3%; p < 0.001) and lower BGL (113 vs. 123 mg/dL; p < 0.001) than those without functional independence, while HbA1c levels did not differ significantly (5.7% vs. 5.8%; p = 0.15). A significant association was found for NWU and BGL (ß = 0.02, 95% confidence interval [CI] 0.006-0.03; p = 0.002), but not for HbA1c and NWU (ß = -0.16, 95% CI -0.53-0.21; p = 0.39). Mediation analysis showed that 67% of the effect of BGL on functional outcome was mediated by early edema formation. CONCLUSION Aggravated early edema and worse functional outcome was associated with elevated short-term serum BGL, but not with HbA1c levels. Hence, the link between short-term BGL and early edema development might be used as a target for adjuvant therapy in patients with ischemic stroke.
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Affiliation(s)
- Susan Klapproth
- Department of Diagnostic and Interventional NeuroradiologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Lukas Meyer
- Department of Diagnostic and Interventional NeuroradiologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Helge Kniep
- Department of Diagnostic and Interventional NeuroradiologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Matthias Bechstein
- Department of Diagnostic and Interventional NeuroradiologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Anna Kyselyova
- Department of Diagnostic and Interventional NeuroradiologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Uta Hanning
- Department of Diagnostic and Interventional NeuroradiologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Gerhard Schön
- Institute of Medical Biometry and EpidemiologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Leander Rimmele
- Department of NeurologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Jens Fiehler
- Department of Diagnostic and Interventional NeuroradiologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Gabriel Broocks
- Department of Diagnostic and Interventional NeuroradiologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
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10
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Steffen P, Winkelmeier L, Kniep H, Geest V, Soltanipanah S, Fiehler J, Broocks G. Quantification of ischemic brain edema after mechanical thrombectomy using dual-energy computed tomography in patients with ischemic stroke. Sci Rep 2024; 14:4148. [PMID: 38378795 PMCID: PMC10879140 DOI: 10.1038/s41598-024-54600-0] [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: 09/27/2023] [Accepted: 02/14/2024] [Indexed: 02/22/2024] Open
Abstract
Net water uptake (NWU) is a quantitative imaging biomarker used to assess cerebral edema resulting from ischemia via Computed Tomography (CT)-densitometry. It serves as a strong predictor of clinical outcome. Nevertheless, NWU measurements on follow-up CT scans after mechanical thrombectomy (MT) can be affected by contrast staining. To improve the accuracy of edema estimation, virtual non-contrast images (VNC-I) from dual-energy CT scans (DECT) were compared to conventional polychromatic CT images (CP-I) in this study. We examined NWU measurements derived from VNC-I and CP-I to assess their agreement and predictive value in clinical outcome. 88 consecutive patients who received DECT as follow-up after MT were included. NWU was quantified on CP-I (cNWU) and VNC-I (vNWU). The clinical endpoint was functional independence at discharge. cNWU and vNWU were highly correlated (r = 0.71, p < 0.0001). The median difference between cNWU and vNWU was 8.7% (IQR: 4.5-14.1%), associated with successful vessel recanalization (mTICI2b-3) (ß: 11.6%, 95% CI 2.9-23.0%, p = 0.04), and age (ß: 4.2%, 95% CI 1.3-7.0%, p = 0.005). The diagnostic accuracy to classify outcome between cNWU and vNWU was similar (AUC:0.78 versus 0.77). Although there was an 8.7% median difference, indicating potential edema underestimation on CP-I, it did not have short-term clinical implications.
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Affiliation(s)
- Paul Steffen
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany.
| | - Laurens Winkelmeier
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany
| | - Helge Kniep
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany
| | - Vincent Geest
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany
| | - Setareh Soltanipanah
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany
| | - Jens Fiehler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany
| | - Gabriel Broocks
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany
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11
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Pham J, Ng FC. Novel advanced imaging techniques for cerebral oedema. Front Neurol 2024; 15:1321424. [PMID: 38356883 PMCID: PMC10865379 DOI: 10.3389/fneur.2024.1321424] [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: 10/14/2023] [Accepted: 01/09/2024] [Indexed: 02/16/2024] Open
Abstract
Cerebral oedema following acute ischemic infarction has been correlated with poor functional outcomes and is the driving mechanism of malignant infarction. Measurements of midline shift and qualitative assessment for herniation are currently the main CT indicators for cerebral oedema but have limited sensitivity for small cortical infarcts and are typically a delayed sign. In contrast, diffusion-weighted (DWI) or T2-weighted magnetic resonance imaging (MRI) are highly sensitive but are significantly less accessible. Due to the need for early quantification of cerebral oedema, several novel imaging biomarkers have been proposed. Based on neuroanatomical shift secondary to space-occupying oedema, measures such as relative hemispheric volume and cerebrospinal fluid displacement are correlated with poor outcomes. In contrast, other imaging biometrics, such as net water uptake, T2 relaxometry and blood brain barrier permeability, reflect intrinsic tissue changes from the influx of fluid into the ischemic region. This review aims to discuss quantification of cerebral oedema using current and developing advanced imaging techniques, and their role in predicting clinical outcomes.
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Affiliation(s)
- Jenny Pham
- Department of Radiology, Royal Melbourne Hospital, Parkville, VIC, Australia
| | - Felix C. Ng
- Department of Neurology, Royal Melbourne Hospital, Parkville, VIC, Australia
- Department of Neurology, Austin Health, Heidelberg, VIC, Australia
- Department of Medicine at Royal Melbourne Hospital, Melbourne Brain Centre, University of Melbourne, Parkville, VIC, Australia
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12
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Jingxuan J, Baohui G, Jingyi Z, Hongmei G, Minda L, Ye H, Yuehua L. Dual-energy computed tomography angiography-based quantification of lesion net water uptake to identify stroke onset time. Heliyon 2024; 10:e23540. [PMID: 38169834 PMCID: PMC10758880 DOI: 10.1016/j.heliyon.2023.e23540] [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: 05/30/2023] [Revised: 12/03/2023] [Accepted: 12/06/2023] [Indexed: 01/05/2024] Open
Abstract
Objectives To explore whether dual-energy computed tomography (DECT) angiography can provide reliable quantitative information on net water uptake (NWU) of ischemic brain to identify stroke patients within 4.5 h. Methods We retrospectively reviewed 142 patients with stroke occurrence and who underwent DECT angiography between August 2016 and May 2022. DECT angiography manual drawn the ischemic area by referring to the normal area of the contralateral hemisphere and follow-up images. The NWU in the ischemic area was determined using virtual non-contrast and monoenergetic (VNC &VM) images acquired from DECT angiography. The NWU values in the ischemic area were compared between stroke patients within and beyond 4.5 h. The diagnostic performance of the NWU values derived from the VNC and VM images was assessed through receiver operating characteristic curve analysis. Additionally, Furthermore, we examined the correlation between the NWU values and the stroke onset time. Results Seventy-eight (54.93 %) stroke patients underwent DECT angiography and within 4.5 h. These patients with lower median National Institute of Health stroke scale (NIHSS) scores on admission than those beyond 4.5 h (p < 0.05). Furthermore, the group within 4.5 h had lower NWU values than did the group beyond 4.5 h on all VNC and VM images (p < 0.001). The analysis revealed that the NWU values determined using the VM (60 keV) images had the highest predictive efficiency (AUC, 0.95; sensitivity, 100 %; and specificity, 89.06 %) and showed the strongest positive correlation with stroke onset time (r-value = 0.58, p < 0.001). Conclusions Our findings showed that DECT angiography-based quantification of NWU helps identify the stroke patients within 4.5 h with high predictive efficiency. Thus, NWU values determined using VM (60 keV) images could serve as a significant biomarker for stroke onset time.
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Affiliation(s)
- Jiang Jingxuan
- Institute of Diagnostic and Interventional Radiology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guan Baohui
- Institute of Diagnostic and Interventional Radiology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhou Jingyi
- Department of Radiology, Kunshan second People's Hospital, Kunshan, China
| | - Gu Hongmei
- Department of Radiology, Affiliated Hospital of Nantong University, Nantong, China
| | - Li Minda
- Department of Radiology, Affiliated Hospital of Nantong University, Nantong, China
| | - Hua Ye
- Department of Radiology, Affiliated Hospital of Nantong University, Nantong, China
| | - Li Yuehua
- Institute of Diagnostic and Interventional Radiology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
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13
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Wu RR, Cao YZ, Xu XQ, Jia ZY, Zhao LB, Shi HB, Liu S, Wu FY, Lu SS. ASPECTS-based net water uptake outperforms target mismatch for outcome prediction in patients with acute ischemic stroke and late therapeutic window. Eur Radiol 2023; 33:9130-9138. [PMID: 37498384 DOI: 10.1007/s00330-023-09965-7] [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: 11/19/2022] [Revised: 05/18/2023] [Accepted: 05/25/2023] [Indexed: 07/28/2023]
Abstract
OBJECTIVE To compare the prognostic value of net water uptake (NWU) and target mismatch (TM) on CT perfusion (CTP) in acute ischemic stroke (AIS) patients with late time window. METHODS One hundred and nine consecutive AIS patients with anterior-circulation large vessel occlusion presenting within 6-24 h from onset/last seen well were enrolled. Automated Alberta Stroke Program Early CT Score-based NWU (ASPECTS-NWU) was calculated from admission CT. The correlation between ASPECTS-NWU and CTP parameters was assessed. Predictors for favorable outcome (modified Rankin Scale score ≤ 2) at 90 days were assessed using logistic regression analysis. The ability of outcome prediction between ASPECTS-NWU and TM (an ischemic core < 70 mL, a mismatch ratio ≥ 1.8, and an absolute difference ≥ 15 mL) was compared using receiver operating characteristic (ROC) curve. RESULTS A higher level of ASPECTS-NWU was associated with a larger ischemic core (r = 0.66, p < 0.001) and a larger hypoperfusion volume (r = 0.38, p < 0.001). ASPECTS-NWU performed better than TM for outcome stratification (area under the curve [AUC], 0.738 vs 0.583, p = 0.004) and was the only independent neuroimaging marker associated with favorable outcomes compared with CTP parameters (odds ratio, 0.73; 95% confidence interval [CI] 0.62-0.87, p < 0.001). An outcome prediction model including ASPECTS-NWU and clinical variables (National Institutes of Health Stroke Scale scores and age) yielded an AUC of 0.828 (95% CI 0.744-0.893; sensitivity 65.4%; specificity 87.7%). CONCLUSION ASPECTS-NWU performed better than TM for outcome prediction in AIS patients with late time window and might be an alternative imaging biomarker to CTP for patient selection. CLINICAL RELEVANCE STATEMENT Automated Alberta Stroke Program Early CT Score-based net water uptake outperforms target mismatch on CT perfusion for the outcome prediction in patients with acute ischemic stroke and can be an alternative imaging biomarker for patient selection in late therapeutic window. KEY POINTS • A higher ASPECTS-based net water uptake was associated with larger ischemic cores and hypoperfusion volumes on CT perfusion. • ASPECTS-based net water uptake outperformed target mismatch for outcome prediction in acute ischemic stroke with extended therapeutic window. • ASPECTS-based net water uptake can be an alternative biomarker to target mismatch for selecting acute ischemic stroke patients with late therapeutic window.
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Affiliation(s)
- Rong-Rong Wu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, No.300 Guangzhou Road, Gulou district, Nanjing, Jiangsu Province, China
| | - Yue-Zhou Cao
- Department of Interventional Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - Xiao-Quan Xu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, No.300 Guangzhou Road, Gulou district, Nanjing, Jiangsu Province, China
| | - Zheng-Yu Jia
- Department of Interventional Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - Lin-Bo Zhao
- Department of Interventional Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - Hai-Bin Shi
- Department of Interventional Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - Sheng Liu
- Department of Interventional Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - Fei-Yun Wu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, No.300 Guangzhou Road, Gulou district, Nanjing, Jiangsu Province, China.
| | - Shan-Shan Lu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, No.300 Guangzhou Road, Gulou district, Nanjing, Jiangsu Province, China.
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14
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Samaniego EA, Boltze J, Lyden PD, Hill MD, Campbell BCV, Silva GS, Sheth KN, Fisher M, Hillis AE, Nguyen TN, Carone D, Favilla CG, Deljkich E, Albers GW, Heit JJ, Lansberg MG. Priorities for Advancements in Neuroimaging in the Diagnostic Workup of Acute Stroke. Stroke 2023; 54:3190-3201. [PMID: 37942645 PMCID: PMC10841844 DOI: 10.1161/strokeaha.123.044985] [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: 09/03/2023] [Accepted: 10/03/2023] [Indexed: 11/10/2023]
Abstract
STAIR XII (12th Stroke Treatment Academy Industry Roundtable) included a workshop to discuss the priorities for advancements in neuroimaging in the diagnostic workup of acute ischemic stroke. The workshop brought together representatives from academia, industry, and government. The participants identified 10 critical areas of priority for the advancement of acute stroke imaging. These include enhancing imaging capabilities at primary and comprehensive stroke centers, refining the analysis and characterization of clots, establishing imaging criteria that can predict the response to reperfusion, optimizing the Thrombolysis in Cerebral Infarction scale, predicting first-pass reperfusion outcomes, improving imaging techniques post-reperfusion therapy, detecting early ischemia on noncontrast computed tomography, enhancing cone beam computed tomography, advancing mobile stroke units, and leveraging high-resolution vessel wall imaging to gain deeper insights into pathology. Imaging in acute ischemic stroke treatment has advanced significantly, but important challenges remain that need to be addressed. A combined effort from academic investigators, industry, and regulators is needed to improve imaging technologies and, ultimately, patient outcomes.
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Affiliation(s)
- Edgar A. Samaniego
- Department of Neurology, Radiology and Neurosurgery, University of Iowa Carver College of Medicine, Iowa City, Iowa, United States
| | - Johannes Boltze
- School of Life Sciences, The University of Warwick, Coventry, United Kingdom
| | - Patrick D. Lyden
- Zilkha Neurogenetic Institute of the Keck School of Medicine at USC, Los Angeles, California, United States
| | - Michael D. Hill
- Department of Clinical Neuroscience & Hotchkiss Brain Institute, University of Calgary & Foothills Medical Centre, Calgary, Canada
| | - Bruce CV Campbell
- Department of Medicine and Neurology, Royal Melbourne Hospital, University of Melbourne, Parkville, Victoria, Australia
| | - Gisele Sampaio Silva
- Department of Neurology and Neurosurgery, Federal University of São Paulo, São Paulo, Brazil
| | - Kevin N Sheth
- Department of Neurology, Division of Neurocritical Care and Emergency Neurology, Yale School of Medicine, New Haven, United States
| | - Marc Fisher
- Department of Neurology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States
| | - Argye E. Hillis
- Department of Neurology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, United Stated
| | - Thanh N. Nguyen
- Department of Neurology, Boston Medical Center, Massachusetts, United States
| | - Davide Carone
- Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Christopher G. Favilla
- Department of Neurology, University of Pennsylvania Philadelphia, Pennsylvania, Unites States
| | | | - Gregory W. Albers
- Department of Neurology, Stanford University, Stanford, California, United States
| | - Jeremy J. Heit
- Department of Radiology and Neurosurgery, Stanford University, Stanford, California, United States
| | - Maarten G Lansberg
- Department of Neurology, Stanford University, Stanford, California, United States
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15
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Pham J, Gan C, Dabboucy J, Stella DL, Dowling R, Yan B, Bush S, Williams C, Mitchell PJ, Desmond P, Thijs V, Asadi H, Brooks M, Maingard J, Jhamb A, Pavlin-Premrl D, Campbell BC, Ng FC. Occult contrast retention post-thrombectomy on 24-h follow-up dual-energy CT: Associations and impact on imaging analysis. Int J Stroke 2023; 18:1228-1237. [PMID: 37260232 DOI: 10.1177/17474930231182018] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
BACKGROUND Following reperfusion treatment in ischemic stroke, computed tomography (CT) imaging at 24 h is widely used to assess radiological outcomes. Even without visible hyperattenuation, occult angiographic contrast may persist in the brain and confound Hounsfield unit-based imaging metrics, such as net water uptake (NWU). AIMS We aimed to assess the presence and factors associated with retained contrast post-thrombectomy on 24-h imaging using dual-energy CT (DECT), and its impact on the accuracy of NWU as a measure of cerebral edema. METHODS Consecutive patients with anterior circulation large vessel occlusion who had post-thrombectomy DECT performed 24-h post-treatment from two thrombectomy stroke centers were retrospectively studied. NWU was calculated by interside comparison of HUs of the infarct lesion and its mirror homolog. Retained contrast was quantified by the difference in NWU values with and without adjustment for iodine. Patients with visible hyperdensities from hemorrhagic transformation or visible contrast retention and bilateral infarcts were excluded. Cerebral edema was measured by relative hemispheric volume (rHV) and midline shift (MLS). RESULTS Of 125 patients analyzed (median age 71 (IQR = 61-80), baseline National Institutes of Health Stroke Scale (NIHSS) 16 (IQR = 9.75-21)), reperfusion (defined as extended-Thrombolysis-In-Cerebral-Infarction 2b-3) was achieved in 113 patients (90.4%). Iodine-subtracted NWU was significantly higher than unadjusted NWU (17.1% vs 10.8%, p < 0.001). In multivariable median regression analysis, increased age (p = 0.024), number of passes (p = 0.006), final infarct volume (p = 0.023), and study site (p = 0.021) were independently associated with amount of retained contrast. Iodine-subtracted NWU correlated with rHV (rho = 0.154, p = 0.043) and MLS (rho = 0.165, p = 0.033) but unadjusted NWU did not (rHV rho = -0.035, p = 0.35; MLS rho = 0.035, p = 0.347). CONCLUSIONS Angiographic iodine contrast is retained in brain parenchyma 24-h post-thrombectomy, even without visually obvious hyperdensities on CT, and significantly affects NWU measurements. Adjustment for retained iodine using DECT is required for accurate NWU measurements post-thrombectomy. Future quantitative studies analyzing CT after thrombectomy should consider occult contrast retention.
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Affiliation(s)
- Jenny Pham
- Department of Neurology, The Royal Melbourne Hospital, Parkville, VIC, Australia
| | - Calvin Gan
- Department of Radiology, The Royal Melbourne Hospital, Parkville, VIC, Australia
| | - Jasmin Dabboucy
- Department of Neurology, Austin Health, Heidelberg, VIC, Australia
| | - Damien L Stella
- Department of Radiology, The Royal Melbourne Hospital, Parkville, VIC, Australia
| | - Richard Dowling
- Department of Radiology, The Royal Melbourne Hospital, Parkville, VIC, Australia
| | - Bernard Yan
- Department of Radiology, The Royal Melbourne Hospital, Parkville, VIC, Australia
- Department of Radiology, Austin Health, Heidelberg, VIC, Australia
| | - Steven Bush
- Department of Radiology, The Royal Melbourne Hospital, Parkville, VIC, Australia
| | - Cameron Williams
- Department of Radiology, The Royal Melbourne Hospital, Parkville, VIC, Australia
| | - Peter J Mitchell
- Department of Radiology, The Royal Melbourne Hospital, Parkville, VIC, Australia
| | - Patricia Desmond
- Department of Radiology, The Royal Melbourne Hospital, Parkville, VIC, Australia
- The University of Melbourne, Parkville, VIC, Australia
| | - Vincent Thijs
- Department of Neurology, Austin Health, Heidelberg, VIC, Australia
- Division of Stroke, Florey Institute of Neuroscience and Mental Health, Heidelberg, VIC, Australia
| | - Hamed Asadi
- Department of Radiology, Austin Health, Heidelberg, VIC, Australia
| | - Mark Brooks
- Department of Radiology, Austin Health, Heidelberg, VIC, Australia
| | - Julian Maingard
- Department of Radiology, Austin Health, Heidelberg, VIC, Australia
| | - Ash Jhamb
- Department of Radiology, Austin Health, Heidelberg, VIC, Australia
| | - Davor Pavlin-Premrl
- Department of Radiology, Austin Health, Heidelberg, VIC, Australia
- Melbourne Brain Centre, Department of Medicine, Royal Melbourne Hospital, The University of Melbourne, Parkville, VIC, Australia
| | - Bruce Cv Campbell
- Department of Neurology, The Royal Melbourne Hospital, Parkville, VIC, Australia
- Melbourne Brain Centre, Department of Medicine, Royal Melbourne Hospital, The University of Melbourne, Parkville, VIC, Australia
| | - Felix C Ng
- Department of Neurology, The Royal Melbourne Hospital, Parkville, VIC, Australia
- Department of Neurology, Austin Health, Heidelberg, VIC, Australia
- Melbourne Brain Centre, Department of Medicine, Royal Melbourne Hospital, The University of Melbourne, Parkville, VIC, Australia
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16
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Broocks G, Meyer L, Bechstein M, Hanning U, Kniep HC, Schlemm E, Kyselyova AA, Winkelmeier L, Schön G, Fiehler J, Kemmling A. Investigating Neurologic Improvement After IV Thrombolysis: The Effect of Time From Stroke Onset vs Imaging-Based Tissue Clock. Neurology 2023; 101:e1678-e1686. [PMID: 37657940 PMCID: PMC10624495 DOI: 10.1212/wnl.0000000000207714] [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: 03/30/2023] [Accepted: 06/12/2023] [Indexed: 09/03/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Time from stroke onset is associated with clinical response to intravenous thrombolysis (IVT) with alteplase and is therefore used to select patients for treatment. Alternatively, neuroimaging may be used for treatment in the uncertain or extended time window. We hypothesized that the patient-specific imaging indicator of ischemic lesion progression ("tissue clock") using CT perfusion (CTP) or quantitative net water uptake (NWU) is a predictor of early neurologic improvement (ENI) independent of time. METHODS Observational study of anterior circulation ischemic stroke patients with proximal vessel occlusion and known time from symptom onset triaged by multimodal CT undergoing endovascular treatment. Quantitative NWU using an established threshold (11.5%) or CTP lesion core mismatch (EXTEND criteria) was used to estimate ischemic lesion progression. The treatment effect of IVT depending on lesion progression defined by tissue clock vs time clock was assessed by inverse probability weighting (IPW). End points were binarized ENI and functional independence at day 90. RESULTS Four hundred nine patients were included, of which 223 (54.5%) received IVT. The proportion of patients within an early time window (<4.5 hours), low NWU, and CTP mismatch were 45.0%, 86.5%, and 80.3%. In IPW, IVT was associated with higher rates of ENI (%-difference: 7.3%, p = 0.02). For patients with CTP mismatch or low NWU, IVT was associated with a 9.6% or 7.2% higher rate of ENI, which was different than the effect of IVT in patients without CTP mismatch or high NWU (-9.3%/-7.3%; p = 0.004/p = 0.03), whereas early treatment window did not modify the effect of IVT. DISCUSSION CT-based measures of the "tissue clock" might identify patients who benefit from IVT more accurately than conventional time windows. Considering the high number of patients with early "tissue clock" (low NWU/CTP mismatch) within an extended time window, considerable benefit from IVT using imaging indicators of the "tissue clock" may be achieved.
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Affiliation(s)
- Gabriel Broocks
- From the Departments of Neuroradiology (G.B., A.A.K.), Diagnostic and Interventional Neuroradiology (L.M., M.B., U.H., H.C.K., L.W., J.F.), Neurology (E.S.) and Institute for Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf; and Department of Neuroradiology (A.K.), University Marburg, Germany.
| | - Lukas Meyer
- From the Departments of Neuroradiology (G.B., A.A.K.), Diagnostic and Interventional Neuroradiology (L.M., M.B., U.H., H.C.K., L.W., J.F.), Neurology (E.S.) and Institute for Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf; and Department of Neuroradiology (A.K.), University Marburg, Germany
| | - Matthias Bechstein
- From the Departments of Neuroradiology (G.B., A.A.K.), Diagnostic and Interventional Neuroradiology (L.M., M.B., U.H., H.C.K., L.W., J.F.), Neurology (E.S.) and Institute for Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf; and Department of Neuroradiology (A.K.), University Marburg, Germany
| | - Uta Hanning
- From the Departments of Neuroradiology (G.B., A.A.K.), Diagnostic and Interventional Neuroradiology (L.M., M.B., U.H., H.C.K., L.W., J.F.), Neurology (E.S.) and Institute for Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf; and Department of Neuroradiology (A.K.), University Marburg, Germany
| | - Helge C Kniep
- From the Departments of Neuroradiology (G.B., A.A.K.), Diagnostic and Interventional Neuroradiology (L.M., M.B., U.H., H.C.K., L.W., J.F.), Neurology (E.S.) and Institute for Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf; and Department of Neuroradiology (A.K.), University Marburg, Germany
| | - Eckhard Schlemm
- From the Departments of Neuroradiology (G.B., A.A.K.), Diagnostic and Interventional Neuroradiology (L.M., M.B., U.H., H.C.K., L.W., J.F.), Neurology (E.S.) and Institute for Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf; and Department of Neuroradiology (A.K.), University Marburg, Germany
| | - Anna A Kyselyova
- From the Departments of Neuroradiology (G.B., A.A.K.), Diagnostic and Interventional Neuroradiology (L.M., M.B., U.H., H.C.K., L.W., J.F.), Neurology (E.S.) and Institute for Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf; and Department of Neuroradiology (A.K.), University Marburg, Germany
| | - Laurens Winkelmeier
- From the Departments of Neuroradiology (G.B., A.A.K.), Diagnostic and Interventional Neuroradiology (L.M., M.B., U.H., H.C.K., L.W., J.F.), Neurology (E.S.) and Institute for Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf; and Department of Neuroradiology (A.K.), University Marburg, Germany
| | - Gerhard Schön
- From the Departments of Neuroradiology (G.B., A.A.K.), Diagnostic and Interventional Neuroradiology (L.M., M.B., U.H., H.C.K., L.W., J.F.), Neurology (E.S.) and Institute for Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf; and Department of Neuroradiology (A.K.), University Marburg, Germany
| | - Jens Fiehler
- From the Departments of Neuroradiology (G.B., A.A.K.), Diagnostic and Interventional Neuroradiology (L.M., M.B., U.H., H.C.K., L.W., J.F.), Neurology (E.S.) and Institute for Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf; and Department of Neuroradiology (A.K.), University Marburg, Germany
| | - Andre Kemmling
- From the Departments of Neuroradiology (G.B., A.A.K.), Diagnostic and Interventional Neuroradiology (L.M., M.B., U.H., H.C.K., L.W., J.F.), Neurology (E.S.) and Institute for Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf; and Department of Neuroradiology (A.K.), University Marburg, Germany
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17
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Chen C, Yang J, Han Q, Wu Y, Li J, Xu T, Sun J, Gao X, Huang Y, Parsons MW, Lin L. Net water uptake within the ischemic penumbra predicts the presence of the midline shift in patients with acute ischemic stroke. Front Neurol 2023; 14:1246775. [PMID: 37840922 PMCID: PMC10570612 DOI: 10.3389/fneur.2023.1246775] [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: 06/24/2023] [Accepted: 08/25/2023] [Indexed: 10/17/2023] Open
Abstract
Objective The study aimed to explore the association between midline shift (MLS) and net water uptake (NWU) within the ischemic penumbra in acute ischemic stroke patients. Methods This was a retrospective cohort study that examined patients with anterior circulation stroke. Net water uptake within the acute ischemic core and penumbra was calculated using data from admission multimodal CT scans. The primary outcome was severe cerebral edema measured by the presence of MLS on 24 to 48 h follow-up CT scans. The presence of a significant MLS was defined by a deviation of the septum pellucidum from the midline on follow-up CT scans of at least 3 mm or greater due to the mass effect of ischemic edema. The net water uptake was compared between patients with and without MLS, followed by logistic regression analyses and receiver operating characteristics (ROCs) to assess the predictive power of net water uptake in MLS. Results A total of 133 patients were analyzed: 50 patients (37.6%) with MLS and 83 patients (62.4%) without. Compared to patients without MLS, patients with MLS had higher net water uptake within the core [6.8 (3.2-10.4) vs. 4.9 (2.2-8.1), P = 0.048] and higher net water uptake within the ischemic penumbra [2.9 (1.8-4.3) vs. 0.2 (-2.5-2.7), P < 0.001]. Penumbral net water uptake had higher predictive performance than net water uptake of the core in MLS [area under the curve: 0.708 vs. 0.603, p < 0.001]. Moreover, the penumbral net water uptake predicted MLS in the multivariate regression model, adjusting for age, sex, admission National Institutes of Health Stroke Scale (NIHSS), diabetes mellitus, atrial fibrillation, ischemic core volume, and poor collateral vessel status (OR = 1.165; 95% CI = 1.002-1.356; P = 0.047). No significant prediction was found for the net water uptake of the core in the multivariate regression model. Conclusion Net water uptake measured acutely within the ischemic penumbra could predict severe cerebral edema at 24-48 h.
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Affiliation(s)
- Cuiping Chen
- Department of Neurology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
| | - Jianhong Yang
- Department of Neurology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
| | - Qing Han
- Department of Neurology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
| | - Yuefei Wu
- Department of Neurology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
| | - Jichuan Li
- Department of Neurology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
| | - Tianqi Xu
- Department of Neurology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
| | - Jie Sun
- Department of Neurosurgery, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
| | - Xiang Gao
- Department of Neurosurgery, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
| | - Yi Huang
- Department of Neurosurgery, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
| | - Mark W. Parsons
- Department of Neurology, Liverpool Hospital, Sydney, NSW, Australia
- Sydney Brain Center, University of New South Wales, Sydney, NSW, Australia
| | - Longting Lin
- Department of Neurology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
- Sydney Brain Center, University of New South Wales, Sydney, NSW, Australia
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18
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Pensato U, Romoli M, Zini A. Reader Response: Association Between Net Water Uptake and Functional Outcome in Patients With Low ASPECTS Brain Lesions: Results From the I-LAST Study. Neurology 2023; 101:191-192. [PMID: 37487759 PMCID: PMC10435068 DOI: 10.1212/wnl.0000000000207628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/26/2023] Open
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19
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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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20
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Broocks G, Meyer L, Elsayed S, McDonough R, Bechstein M, Faizy TD, Sporns P, Schön G, Minnerup J, Kniep HC, Hanning U, Barow E, Schramm P, Langner S, Nawabi J, Papanagiotou P, Wintermark M, Lansberg MG, Albers GW, Heit JJ, Fiehler J, Kemmling A. Association Between Net Water Uptake and Functional Outcome in Patients With Low ASPECTS Brain Lesions: Results From the I-LAST Study. Neurology 2023; 100:e954-e963. [PMID: 36414425 PMCID: PMC9990438 DOI: 10.1212/wnl.0000000000201601] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 10/10/2022] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND AND OBJECTIVES The effect of mechanical thrombectomy (MT) on functional outcome in patients with ischemic stroke with low ASPECTS is still uncertain. ASPECTS rating is based on the presence of ischemic hypoattenuation relative to normal; however, the degree of hypoattenuation, which directly reflects net uptake of water, is currently not considered an imaging biomarker in stroke triage. We hypothesized that the effect of thrombectomy on functional outcome in low ASPECTS patients depends on early lesion water uptake. METHODS For this multicenter observational study, patients with anterior circulation stroke with ASPECTS ≤5 were consecutively analyzed. Net water uptake (NWU) was assessed as a quantitative imaging biomarker in admission CT. The primary end point was the rate of favorable functional outcome defined as modified Rankin Scale score 0-3 at day 90. The effect of recanalization on functional outcome was analyzed according to the degree of NWU within the early infarct lesion. RESULTS A total of 254 patients were included, of which 148 (58%) underwent MT. The median ASPECTS was 4 (interquartile range [IQR] 3-5), and the median NWU was 11.4% (IQR 8.9%-15.1%). The rate of favorable outcome was 27.6% in patients with low NWU (<11.4%) vs 6.3% in patients with high NWU (≥11.4%; p < 0.0001). In multivariable logistic regression analysis, NWU was an independent predictor of outcome, whereas vessel recanalization (modified thrombolysis in cerebral infarction ≥2b) was only significantly associated with better outcomes if NWU was lower than 12.6%. In inverse-probability weighting analysis, recanalization was associated with 20.7% (p = 0.01) increase in favorable outcome in patients with low NWU compared with 9.1% (p = 0.06) in patients with high NWU. DISCUSSION Early NWU was independently associated with clinical outcome and might serve as an indicator of futile MT in low ASPECTS patients. NWU could be tested as a tool to select low ASPECTS patients for MT. TRIAL REGISTRATION INFORMATION The study is registered within the ClinicalTrials.gov Protocol Registration and Results System (NCT04862507).
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Affiliation(s)
- Gabriel Broocks
- From the Departments of Diagnostic and Interventional Neuroradiology (G.B., L.M., S.E., R.M., M.B., T.D.F., P. Sporns, H.C.K., U.H., J.F.) and Neuroradiology (S.L.), and Institute of Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf, Germany; Departments of Clinical Neuroscience and Radiology (R.M.), Hotchkiss Brain Institute, Cummings School of Medicine, University of Calgary, Alberta, Canada; Department of Neuroradiology (T.D.F.), Stanford University, CA; Department of Neuroradiology (P. Sporns), Universitätsspital Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (J.M.), University Hospital Münster; Department of Neuroradiology (P. Schramm), University Hospital Schleswig-Holstein, Luebeck; Department of Neuroradiology (S.L.), University Greifswald; Department of Neuroradiology (S.L.), University Medical Center Rostock; Department of Neuroradiology (J.N.), Charité University Medicine, Berlin; Department of Neuroradiology (P.P.), Hospital Bremen-Mitte, Germany; Department of Neuroradiology (M.W.), MD Anderson, Houston, TX; Departments of Neurology and Neurological Sciences (M.G.L., G.W.A.) and Radiology (J.J.H.), Stanford University School of Medicine, CA; and Department of Neuroradiology (A.K.), University Hospital Marburg, Germany.
| | - Lukas Meyer
- From the Departments of Diagnostic and Interventional Neuroradiology (G.B., L.M., S.E., R.M., M.B., T.D.F., P. Sporns, H.C.K., U.H., J.F.) and Neuroradiology (S.L.), and Institute of Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf, Germany; Departments of Clinical Neuroscience and Radiology (R.M.), Hotchkiss Brain Institute, Cummings School of Medicine, University of Calgary, Alberta, Canada; Department of Neuroradiology (T.D.F.), Stanford University, CA; Department of Neuroradiology (P. Sporns), Universitätsspital Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (J.M.), University Hospital Münster; Department of Neuroradiology (P. Schramm), University Hospital Schleswig-Holstein, Luebeck; Department of Neuroradiology (S.L.), University Greifswald; Department of Neuroradiology (S.L.), University Medical Center Rostock; Department of Neuroradiology (J.N.), Charité University Medicine, Berlin; Department of Neuroradiology (P.P.), Hospital Bremen-Mitte, Germany; Department of Neuroradiology (M.W.), MD Anderson, Houston, TX; Departments of Neurology and Neurological Sciences (M.G.L., G.W.A.) and Radiology (J.J.H.), Stanford University School of Medicine, CA; and Department of Neuroradiology (A.K.), University Hospital Marburg, Germany
| | - Sarah Elsayed
- From the Departments of Diagnostic and Interventional Neuroradiology (G.B., L.M., S.E., R.M., M.B., T.D.F., P. Sporns, H.C.K., U.H., J.F.) and Neuroradiology (S.L.), and Institute of Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf, Germany; Departments of Clinical Neuroscience and Radiology (R.M.), Hotchkiss Brain Institute, Cummings School of Medicine, University of Calgary, Alberta, Canada; Department of Neuroradiology (T.D.F.), Stanford University, CA; Department of Neuroradiology (P. Sporns), Universitätsspital Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (J.M.), University Hospital Münster; Department of Neuroradiology (P. Schramm), University Hospital Schleswig-Holstein, Luebeck; Department of Neuroradiology (S.L.), University Greifswald; Department of Neuroradiology (S.L.), University Medical Center Rostock; Department of Neuroradiology (J.N.), Charité University Medicine, Berlin; Department of Neuroradiology (P.P.), Hospital Bremen-Mitte, Germany; Department of Neuroradiology (M.W.), MD Anderson, Houston, TX; Departments of Neurology and Neurological Sciences (M.G.L., G.W.A.) and Radiology (J.J.H.), Stanford University School of Medicine, CA; and Department of Neuroradiology (A.K.), University Hospital Marburg, Germany
| | - Rosalie McDonough
- From the Departments of Diagnostic and Interventional Neuroradiology (G.B., L.M., S.E., R.M., M.B., T.D.F., P. Sporns, H.C.K., U.H., J.F.) and Neuroradiology (S.L.), and Institute of Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf, Germany; Departments of Clinical Neuroscience and Radiology (R.M.), Hotchkiss Brain Institute, Cummings School of Medicine, University of Calgary, Alberta, Canada; Department of Neuroradiology (T.D.F.), Stanford University, CA; Department of Neuroradiology (P. Sporns), Universitätsspital Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (J.M.), University Hospital Münster; Department of Neuroradiology (P. Schramm), University Hospital Schleswig-Holstein, Luebeck; Department of Neuroradiology (S.L.), University Greifswald; Department of Neuroradiology (S.L.), University Medical Center Rostock; Department of Neuroradiology (J.N.), Charité University Medicine, Berlin; Department of Neuroradiology (P.P.), Hospital Bremen-Mitte, Germany; Department of Neuroradiology (M.W.), MD Anderson, Houston, TX; Departments of Neurology and Neurological Sciences (M.G.L., G.W.A.) and Radiology (J.J.H.), Stanford University School of Medicine, CA; and Department of Neuroradiology (A.K.), University Hospital Marburg, Germany
| | - Matthias Bechstein
- From the Departments of Diagnostic and Interventional Neuroradiology (G.B., L.M., S.E., R.M., M.B., T.D.F., P. Sporns, H.C.K., U.H., J.F.) and Neuroradiology (S.L.), and Institute of Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf, Germany; Departments of Clinical Neuroscience and Radiology (R.M.), Hotchkiss Brain Institute, Cummings School of Medicine, University of Calgary, Alberta, Canada; Department of Neuroradiology (T.D.F.), Stanford University, CA; Department of Neuroradiology (P. Sporns), Universitätsspital Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (J.M.), University Hospital Münster; Department of Neuroradiology (P. Schramm), University Hospital Schleswig-Holstein, Luebeck; Department of Neuroradiology (S.L.), University Greifswald; Department of Neuroradiology (S.L.), University Medical Center Rostock; Department of Neuroradiology (J.N.), Charité University Medicine, Berlin; Department of Neuroradiology (P.P.), Hospital Bremen-Mitte, Germany; Department of Neuroradiology (M.W.), MD Anderson, Houston, TX; Departments of Neurology and Neurological Sciences (M.G.L., G.W.A.) and Radiology (J.J.H.), Stanford University School of Medicine, CA; and Department of Neuroradiology (A.K.), University Hospital Marburg, Germany
| | - Tobias Djamsched Faizy
- From the Departments of Diagnostic and Interventional Neuroradiology (G.B., L.M., S.E., R.M., M.B., T.D.F., P. Sporns, H.C.K., U.H., J.F.) and Neuroradiology (S.L.), and Institute of Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf, Germany; Departments of Clinical Neuroscience and Radiology (R.M.), Hotchkiss Brain Institute, Cummings School of Medicine, University of Calgary, Alberta, Canada; Department of Neuroradiology (T.D.F.), Stanford University, CA; Department of Neuroradiology (P. Sporns), Universitätsspital Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (J.M.), University Hospital Münster; Department of Neuroradiology (P. Schramm), University Hospital Schleswig-Holstein, Luebeck; Department of Neuroradiology (S.L.), University Greifswald; Department of Neuroradiology (S.L.), University Medical Center Rostock; Department of Neuroradiology (J.N.), Charité University Medicine, Berlin; Department of Neuroradiology (P.P.), Hospital Bremen-Mitte, Germany; Department of Neuroradiology (M.W.), MD Anderson, Houston, TX; Departments of Neurology and Neurological Sciences (M.G.L., G.W.A.) and Radiology (J.J.H.), Stanford University School of Medicine, CA; and Department of Neuroradiology (A.K.), University Hospital Marburg, Germany
| | - Peter Sporns
- From the Departments of Diagnostic and Interventional Neuroradiology (G.B., L.M., S.E., R.M., M.B., T.D.F., P. Sporns, H.C.K., U.H., J.F.) and Neuroradiology (S.L.), and Institute of Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf, Germany; Departments of Clinical Neuroscience and Radiology (R.M.), Hotchkiss Brain Institute, Cummings School of Medicine, University of Calgary, Alberta, Canada; Department of Neuroradiology (T.D.F.), Stanford University, CA; Department of Neuroradiology (P. Sporns), Universitätsspital Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (J.M.), University Hospital Münster; Department of Neuroradiology (P. Schramm), University Hospital Schleswig-Holstein, Luebeck; Department of Neuroradiology (S.L.), University Greifswald; Department of Neuroradiology (S.L.), University Medical Center Rostock; Department of Neuroradiology (J.N.), Charité University Medicine, Berlin; Department of Neuroradiology (P.P.), Hospital Bremen-Mitte, Germany; Department of Neuroradiology (M.W.), MD Anderson, Houston, TX; Departments of Neurology and Neurological Sciences (M.G.L., G.W.A.) and Radiology (J.J.H.), Stanford University School of Medicine, CA; and Department of Neuroradiology (A.K.), University Hospital Marburg, Germany
| | - Gerhard Schön
- From the Departments of Diagnostic and Interventional Neuroradiology (G.B., L.M., S.E., R.M., M.B., T.D.F., P. Sporns, H.C.K., U.H., J.F.) and Neuroradiology (S.L.), and Institute of Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf, Germany; Departments of Clinical Neuroscience and Radiology (R.M.), Hotchkiss Brain Institute, Cummings School of Medicine, University of Calgary, Alberta, Canada; Department of Neuroradiology (T.D.F.), Stanford University, CA; Department of Neuroradiology (P. Sporns), Universitätsspital Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (J.M.), University Hospital Münster; Department of Neuroradiology (P. Schramm), University Hospital Schleswig-Holstein, Luebeck; Department of Neuroradiology (S.L.), University Greifswald; Department of Neuroradiology (S.L.), University Medical Center Rostock; Department of Neuroradiology (J.N.), Charité University Medicine, Berlin; Department of Neuroradiology (P.P.), Hospital Bremen-Mitte, Germany; Department of Neuroradiology (M.W.), MD Anderson, Houston, TX; Departments of Neurology and Neurological Sciences (M.G.L., G.W.A.) and Radiology (J.J.H.), Stanford University School of Medicine, CA; and Department of Neuroradiology (A.K.), University Hospital Marburg, Germany
| | - Jens Minnerup
- From the Departments of Diagnostic and Interventional Neuroradiology (G.B., L.M., S.E., R.M., M.B., T.D.F., P. Sporns, H.C.K., U.H., J.F.) and Neuroradiology (S.L.), and Institute of Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf, Germany; Departments of Clinical Neuroscience and Radiology (R.M.), Hotchkiss Brain Institute, Cummings School of Medicine, University of Calgary, Alberta, Canada; Department of Neuroradiology (T.D.F.), Stanford University, CA; Department of Neuroradiology (P. Sporns), Universitätsspital Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (J.M.), University Hospital Münster; Department of Neuroradiology (P. Schramm), University Hospital Schleswig-Holstein, Luebeck; Department of Neuroradiology (S.L.), University Greifswald; Department of Neuroradiology (S.L.), University Medical Center Rostock; Department of Neuroradiology (J.N.), Charité University Medicine, Berlin; Department of Neuroradiology (P.P.), Hospital Bremen-Mitte, Germany; Department of Neuroradiology (M.W.), MD Anderson, Houston, TX; Departments of Neurology and Neurological Sciences (M.G.L., G.W.A.) and Radiology (J.J.H.), Stanford University School of Medicine, CA; and Department of Neuroradiology (A.K.), University Hospital Marburg, Germany
| | - Helge C Kniep
- From the Departments of Diagnostic and Interventional Neuroradiology (G.B., L.M., S.E., R.M., M.B., T.D.F., P. Sporns, H.C.K., U.H., J.F.) and Neuroradiology (S.L.), and Institute of Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf, Germany; Departments of Clinical Neuroscience and Radiology (R.M.), Hotchkiss Brain Institute, Cummings School of Medicine, University of Calgary, Alberta, Canada; Department of Neuroradiology (T.D.F.), Stanford University, CA; Department of Neuroradiology (P. Sporns), Universitätsspital Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (J.M.), University Hospital Münster; Department of Neuroradiology (P. Schramm), University Hospital Schleswig-Holstein, Luebeck; Department of Neuroradiology (S.L.), University Greifswald; Department of Neuroradiology (S.L.), University Medical Center Rostock; Department of Neuroradiology (J.N.), Charité University Medicine, Berlin; Department of Neuroradiology (P.P.), Hospital Bremen-Mitte, Germany; Department of Neuroradiology (M.W.), MD Anderson, Houston, TX; Departments of Neurology and Neurological Sciences (M.G.L., G.W.A.) and Radiology (J.J.H.), Stanford University School of Medicine, CA; and Department of Neuroradiology (A.K.), University Hospital Marburg, Germany
| | - Uta Hanning
- From the Departments of Diagnostic and Interventional Neuroradiology (G.B., L.M., S.E., R.M., M.B., T.D.F., P. Sporns, H.C.K., U.H., J.F.) and Neuroradiology (S.L.), and Institute of Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf, Germany; Departments of Clinical Neuroscience and Radiology (R.M.), Hotchkiss Brain Institute, Cummings School of Medicine, University of Calgary, Alberta, Canada; Department of Neuroradiology (T.D.F.), Stanford University, CA; Department of Neuroradiology (P. Sporns), Universitätsspital Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (J.M.), University Hospital Münster; Department of Neuroradiology (P. Schramm), University Hospital Schleswig-Holstein, Luebeck; Department of Neuroradiology (S.L.), University Greifswald; Department of Neuroradiology (S.L.), University Medical Center Rostock; Department of Neuroradiology (J.N.), Charité University Medicine, Berlin; Department of Neuroradiology (P.P.), Hospital Bremen-Mitte, Germany; Department of Neuroradiology (M.W.), MD Anderson, Houston, TX; Departments of Neurology and Neurological Sciences (M.G.L., G.W.A.) and Radiology (J.J.H.), Stanford University School of Medicine, CA; and Department of Neuroradiology (A.K.), University Hospital Marburg, Germany
| | - Ewgenia Barow
- From the Departments of Diagnostic and Interventional Neuroradiology (G.B., L.M., S.E., R.M., M.B., T.D.F., P. Sporns, H.C.K., U.H., J.F.) and Neuroradiology (S.L.), and Institute of Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf, Germany; Departments of Clinical Neuroscience and Radiology (R.M.), Hotchkiss Brain Institute, Cummings School of Medicine, University of Calgary, Alberta, Canada; Department of Neuroradiology (T.D.F.), Stanford University, CA; Department of Neuroradiology (P. Sporns), Universitätsspital Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (J.M.), University Hospital Münster; Department of Neuroradiology (P. Schramm), University Hospital Schleswig-Holstein, Luebeck; Department of Neuroradiology (S.L.), University Greifswald; Department of Neuroradiology (S.L.), University Medical Center Rostock; Department of Neuroradiology (J.N.), Charité University Medicine, Berlin; Department of Neuroradiology (P.P.), Hospital Bremen-Mitte, Germany; Department of Neuroradiology (M.W.), MD Anderson, Houston, TX; Departments of Neurology and Neurological Sciences (M.G.L., G.W.A.) and Radiology (J.J.H.), Stanford University School of Medicine, CA; and Department of Neuroradiology (A.K.), University Hospital Marburg, Germany
| | - Peter Schramm
- From the Departments of Diagnostic and Interventional Neuroradiology (G.B., L.M., S.E., R.M., M.B., T.D.F., P. Sporns, H.C.K., U.H., J.F.) and Neuroradiology (S.L.), and Institute of Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf, Germany; Departments of Clinical Neuroscience and Radiology (R.M.), Hotchkiss Brain Institute, Cummings School of Medicine, University of Calgary, Alberta, Canada; Department of Neuroradiology (T.D.F.), Stanford University, CA; Department of Neuroradiology (P. Sporns), Universitätsspital Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (J.M.), University Hospital Münster; Department of Neuroradiology (P. Schramm), University Hospital Schleswig-Holstein, Luebeck; Department of Neuroradiology (S.L.), University Greifswald; Department of Neuroradiology (S.L.), University Medical Center Rostock; Department of Neuroradiology (J.N.), Charité University Medicine, Berlin; Department of Neuroradiology (P.P.), Hospital Bremen-Mitte, Germany; Department of Neuroradiology (M.W.), MD Anderson, Houston, TX; Departments of Neurology and Neurological Sciences (M.G.L., G.W.A.) and Radiology (J.J.H.), Stanford University School of Medicine, CA; and Department of Neuroradiology (A.K.), University Hospital Marburg, Germany
| | - Soenke Langner
- From the Departments of Diagnostic and Interventional Neuroradiology (G.B., L.M., S.E., R.M., M.B., T.D.F., P. Sporns, H.C.K., U.H., J.F.) and Neuroradiology (S.L.), and Institute of Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf, Germany; Departments of Clinical Neuroscience and Radiology (R.M.), Hotchkiss Brain Institute, Cummings School of Medicine, University of Calgary, Alberta, Canada; Department of Neuroradiology (T.D.F.), Stanford University, CA; Department of Neuroradiology (P. Sporns), Universitätsspital Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (J.M.), University Hospital Münster; Department of Neuroradiology (P. Schramm), University Hospital Schleswig-Holstein, Luebeck; Department of Neuroradiology (S.L.), University Greifswald; Department of Neuroradiology (S.L.), University Medical Center Rostock; Department of Neuroradiology (J.N.), Charité University Medicine, Berlin; Department of Neuroradiology (P.P.), Hospital Bremen-Mitte, Germany; Department of Neuroradiology (M.W.), MD Anderson, Houston, TX; Departments of Neurology and Neurological Sciences (M.G.L., G.W.A.) and Radiology (J.J.H.), Stanford University School of Medicine, CA; and Department of Neuroradiology (A.K.), University Hospital Marburg, Germany
| | - Jawed Nawabi
- From the Departments of Diagnostic and Interventional Neuroradiology (G.B., L.M., S.E., R.M., M.B., T.D.F., P. Sporns, H.C.K., U.H., J.F.) and Neuroradiology (S.L.), and Institute of Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf, Germany; Departments of Clinical Neuroscience and Radiology (R.M.), Hotchkiss Brain Institute, Cummings School of Medicine, University of Calgary, Alberta, Canada; Department of Neuroradiology (T.D.F.), Stanford University, CA; Department of Neuroradiology (P. Sporns), Universitätsspital Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (J.M.), University Hospital Münster; Department of Neuroradiology (P. Schramm), University Hospital Schleswig-Holstein, Luebeck; Department of Neuroradiology (S.L.), University Greifswald; Department of Neuroradiology (S.L.), University Medical Center Rostock; Department of Neuroradiology (J.N.), Charité University Medicine, Berlin; Department of Neuroradiology (P.P.), Hospital Bremen-Mitte, Germany; Department of Neuroradiology (M.W.), MD Anderson, Houston, TX; Departments of Neurology and Neurological Sciences (M.G.L., G.W.A.) and Radiology (J.J.H.), Stanford University School of Medicine, CA; and Department of Neuroradiology (A.K.), University Hospital Marburg, Germany
| | - Panagiotis Papanagiotou
- From the Departments of Diagnostic and Interventional Neuroradiology (G.B., L.M., S.E., R.M., M.B., T.D.F., P. Sporns, H.C.K., U.H., J.F.) and Neuroradiology (S.L.), and Institute of Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf, Germany; Departments of Clinical Neuroscience and Radiology (R.M.), Hotchkiss Brain Institute, Cummings School of Medicine, University of Calgary, Alberta, Canada; Department of Neuroradiology (T.D.F.), Stanford University, CA; Department of Neuroradiology (P. Sporns), Universitätsspital Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (J.M.), University Hospital Münster; Department of Neuroradiology (P. Schramm), University Hospital Schleswig-Holstein, Luebeck; Department of Neuroradiology (S.L.), University Greifswald; Department of Neuroradiology (S.L.), University Medical Center Rostock; Department of Neuroradiology (J.N.), Charité University Medicine, Berlin; Department of Neuroradiology (P.P.), Hospital Bremen-Mitte, Germany; Department of Neuroradiology (M.W.), MD Anderson, Houston, TX; Departments of Neurology and Neurological Sciences (M.G.L., G.W.A.) and Radiology (J.J.H.), Stanford University School of Medicine, CA; and Department of Neuroradiology (A.K.), University Hospital Marburg, Germany
| | - Max Wintermark
- From the Departments of Diagnostic and Interventional Neuroradiology (G.B., L.M., S.E., R.M., M.B., T.D.F., P. Sporns, H.C.K., U.H., J.F.) and Neuroradiology (S.L.), and Institute of Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf, Germany; Departments of Clinical Neuroscience and Radiology (R.M.), Hotchkiss Brain Institute, Cummings School of Medicine, University of Calgary, Alberta, Canada; Department of Neuroradiology (T.D.F.), Stanford University, CA; Department of Neuroradiology (P. Sporns), Universitätsspital Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (J.M.), University Hospital Münster; Department of Neuroradiology (P. Schramm), University Hospital Schleswig-Holstein, Luebeck; Department of Neuroradiology (S.L.), University Greifswald; Department of Neuroradiology (S.L.), University Medical Center Rostock; Department of Neuroradiology (J.N.), Charité University Medicine, Berlin; Department of Neuroradiology (P.P.), Hospital Bremen-Mitte, Germany; Department of Neuroradiology (M.W.), MD Anderson, Houston, TX; Departments of Neurology and Neurological Sciences (M.G.L., G.W.A.) and Radiology (J.J.H.), Stanford University School of Medicine, CA; and Department of Neuroradiology (A.K.), University Hospital Marburg, Germany
| | - Maarten G Lansberg
- From the Departments of Diagnostic and Interventional Neuroradiology (G.B., L.M., S.E., R.M., M.B., T.D.F., P. Sporns, H.C.K., U.H., J.F.) and Neuroradiology (S.L.), and Institute of Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf, Germany; Departments of Clinical Neuroscience and Radiology (R.M.), Hotchkiss Brain Institute, Cummings School of Medicine, University of Calgary, Alberta, Canada; Department of Neuroradiology (T.D.F.), Stanford University, CA; Department of Neuroradiology (P. Sporns), Universitätsspital Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (J.M.), University Hospital Münster; Department of Neuroradiology (P. Schramm), University Hospital Schleswig-Holstein, Luebeck; Department of Neuroradiology (S.L.), University Greifswald; Department of Neuroradiology (S.L.), University Medical Center Rostock; Department of Neuroradiology (J.N.), Charité University Medicine, Berlin; Department of Neuroradiology (P.P.), Hospital Bremen-Mitte, Germany; Department of Neuroradiology (M.W.), MD Anderson, Houston, TX; Departments of Neurology and Neurological Sciences (M.G.L., G.W.A.) and Radiology (J.J.H.), Stanford University School of Medicine, CA; and Department of Neuroradiology (A.K.), University Hospital Marburg, Germany
| | - Gregory W Albers
- From the Departments of Diagnostic and Interventional Neuroradiology (G.B., L.M., S.E., R.M., M.B., T.D.F., P. Sporns, H.C.K., U.H., J.F.) and Neuroradiology (S.L.), and Institute of Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf, Germany; Departments of Clinical Neuroscience and Radiology (R.M.), Hotchkiss Brain Institute, Cummings School of Medicine, University of Calgary, Alberta, Canada; Department of Neuroradiology (T.D.F.), Stanford University, CA; Department of Neuroradiology (P. Sporns), Universitätsspital Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (J.M.), University Hospital Münster; Department of Neuroradiology (P. Schramm), University Hospital Schleswig-Holstein, Luebeck; Department of Neuroradiology (S.L.), University Greifswald; Department of Neuroradiology (S.L.), University Medical Center Rostock; Department of Neuroradiology (J.N.), Charité University Medicine, Berlin; Department of Neuroradiology (P.P.), Hospital Bremen-Mitte, Germany; Department of Neuroradiology (M.W.), MD Anderson, Houston, TX; Departments of Neurology and Neurological Sciences (M.G.L., G.W.A.) and Radiology (J.J.H.), Stanford University School of Medicine, CA; and Department of Neuroradiology (A.K.), University Hospital Marburg, Germany
| | - Jeremy J Heit
- From the Departments of Diagnostic and Interventional Neuroradiology (G.B., L.M., S.E., R.M., M.B., T.D.F., P. Sporns, H.C.K., U.H., J.F.) and Neuroradiology (S.L.), and Institute of Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf, Germany; Departments of Clinical Neuroscience and Radiology (R.M.), Hotchkiss Brain Institute, Cummings School of Medicine, University of Calgary, Alberta, Canada; Department of Neuroradiology (T.D.F.), Stanford University, CA; Department of Neuroradiology (P. Sporns), Universitätsspital Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (J.M.), University Hospital Münster; Department of Neuroradiology (P. Schramm), University Hospital Schleswig-Holstein, Luebeck; Department of Neuroradiology (S.L.), University Greifswald; Department of Neuroradiology (S.L.), University Medical Center Rostock; Department of Neuroradiology (J.N.), Charité University Medicine, Berlin; Department of Neuroradiology (P.P.), Hospital Bremen-Mitte, Germany; Department of Neuroradiology (M.W.), MD Anderson, Houston, TX; Departments of Neurology and Neurological Sciences (M.G.L., G.W.A.) and Radiology (J.J.H.), Stanford University School of Medicine, CA; and Department of Neuroradiology (A.K.), University Hospital Marburg, Germany
| | - Jens Fiehler
- From the Departments of Diagnostic and Interventional Neuroradiology (G.B., L.M., S.E., R.M., M.B., T.D.F., P. Sporns, H.C.K., U.H., J.F.) and Neuroradiology (S.L.), and Institute of Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf, Germany; Departments of Clinical Neuroscience and Radiology (R.M.), Hotchkiss Brain Institute, Cummings School of Medicine, University of Calgary, Alberta, Canada; Department of Neuroradiology (T.D.F.), Stanford University, CA; Department of Neuroradiology (P. Sporns), Universitätsspital Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (J.M.), University Hospital Münster; Department of Neuroradiology (P. Schramm), University Hospital Schleswig-Holstein, Luebeck; Department of Neuroradiology (S.L.), University Greifswald; Department of Neuroradiology (S.L.), University Medical Center Rostock; Department of Neuroradiology (J.N.), Charité University Medicine, Berlin; Department of Neuroradiology (P.P.), Hospital Bremen-Mitte, Germany; Department of Neuroradiology (M.W.), MD Anderson, Houston, TX; Departments of Neurology and Neurological Sciences (M.G.L., G.W.A.) and Radiology (J.J.H.), Stanford University School of Medicine, CA; and Department of Neuroradiology (A.K.), University Hospital Marburg, Germany
| | - Andre Kemmling
- From the Departments of Diagnostic and Interventional Neuroradiology (G.B., L.M., S.E., R.M., M.B., T.D.F., P. Sporns, H.C.K., U.H., J.F.) and Neuroradiology (S.L.), and Institute of Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf, Germany; Departments of Clinical Neuroscience and Radiology (R.M.), Hotchkiss Brain Institute, Cummings School of Medicine, University of Calgary, Alberta, Canada; Department of Neuroradiology (T.D.F.), Stanford University, CA; Department of Neuroradiology (P. Sporns), Universitätsspital Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (J.M.), University Hospital Münster; Department of Neuroradiology (P. Schramm), University Hospital Schleswig-Holstein, Luebeck; Department of Neuroradiology (S.L.), University Greifswald; Department of Neuroradiology (S.L.), University Medical Center Rostock; Department of Neuroradiology (J.N.), Charité University Medicine, Berlin; Department of Neuroradiology (P.P.), Hospital Bremen-Mitte, Germany; Department of Neuroradiology (M.W.), MD Anderson, Houston, TX; Departments of Neurology and Neurological Sciences (M.G.L., G.W.A.) and Radiology (J.J.H.), Stanford University School of Medicine, CA; and Department of Neuroradiology (A.K.), University Hospital Marburg, Germany
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Lu SS, Wu RR, Cao YZ, Xu XQ, Jia ZY, Shi HB, Liu S, Wu FY. Automated Estimation of Quantitative Lesion Water Uptake as a Prognostic Biomarker for Patients with Ischemic Stroke and Large-Vessel Occlusion. AJNR Am J Neuroradiol 2023; 44:33-39. [PMID: 36549850 PMCID: PMC9835911 DOI: 10.3174/ajnr.a7741] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Accepted: 11/11/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND AND PURPOSE Net water uptake is qualified as an imaging marker of brain edema. We aimed to investigate the ability of net water uptake to predict 90-day functional outcome in patients with acute ischemic stroke and large-vessel occlusion. MATERIALS AND METHODS A total of 295 consecutive patients were retrospectively enrolled. Automated ASPECTS-net water uptake was calculated on the admission CT. The relationship between ASPECTS-net water uptake and 90-day neurologic outcome was assessed. The independent predictors of favorable outcome (mRS score ≤2) were assessed using multivariate logistic regression analysis and receiver operating characteristic curves and stratified by the ASPECTS. RESULTS Favorable 90-day outcomes were observed in 156 (52.9%) patients. ASPECTS-net water uptake (OR, 0.79; 95% CI, 0.70-0.90), NIHSS scores (OR, 0.91; 95% CI, 0.87-0.96), age (OR, 0.96; 95% CI, 0.94-0.99), and vessel recanalization (OR, 7.78; 95% CI, 3.96-15.29) were independently associated with favorable outcomes at 90 days (all, P < .01). A lower ASPECTS-net water uptake independently predicted a good prognosis, even in the subgroup of patients with low ASPECTS (≤5) (P < .05). An outcome-prediction model based on these variables yielded an area under the receiver operating characteristic curve of 0.856 (95% CI, 0.814-0.899; sensitivity, 76.3%; specificity, 81.3%). CONCLUSIONS ASPECTS-net water uptake could independently predict 90-day neurologic outcomes in patients with acute ischemic stroke and large-vessel occlusion. Integrating ASPECTS-net water uptake with clinical models could improve the efficiency of outcome stratification.
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Affiliation(s)
- S S Lu
- From the Departments of Radiology (S.S.L., R.R.W., X.Q.X., F.Y.W.)
| | - R R Wu
- From the Departments of Radiology (S.S.L., R.R.W., X.Q.X., F.Y.W.)
| | - Y Z Cao
- Interventional Radiology (Y.Z.C., Z.Y.J., H.B.S., S.L.), The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - X Q Xu
- From the Departments of Radiology (S.S.L., R.R.W., X.Q.X., F.Y.W.)
| | - Z Y Jia
- Interventional Radiology (Y.Z.C., Z.Y.J., H.B.S., S.L.), The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - H B Shi
- Interventional Radiology (Y.Z.C., Z.Y.J., H.B.S., S.L.), The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - S Liu
- Interventional Radiology (Y.Z.C., Z.Y.J., H.B.S., S.L.), The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - F Y Wu
- From the Departments of Radiology (S.S.L., R.R.W., X.Q.X., F.Y.W.)
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22
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Broocks G, McDonough R, Bechstein M, Hanning U, Brekenfeld C, Flottmann F, Kniep H, Nawka MT, Deb-Chatterji M, Thomalla G, Sporns P, Yeo LL, Tan BY, Gopinathan A, Kastrup A, Politi M, Papanagiotou P, Kemmling A, Fiehler J, Meyer L. Benefit and risk of intravenous alteplase in patients with acute large vessel occlusion stroke and low ASPECTS. J Neurointerv Surg 2023; 15:8-13. [PMID: 35078927 DOI: 10.1136/neurintsurg-2021-017986] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Accepted: 12/10/2021] [Indexed: 12/16/2022]
Abstract
BACKGROUND The benefit of best medical treatment including intravenous alteplase (IVT) before mechanical thrombectomy (MT) in patients with acute ischemic stroke and extensive early ischemic changes on baseline CT remains uncertain. The purpose of this study was to evaluate the benefit of IVT for patients with low ASPECTS (Alberta Stroke Programme Early CT Score) compared with patients with or without MT. METHODS This multicenter study pooled consecutive patients with anterior circulation acute stroke and ASPECTS≤5 to analyze the impact of IVT on functional outcome, and to compare bridging IVT with direct MT. Functional endpoints were the rates of good (modified Rankin Scale (mRS) score ≤2) and very poor (mRS ≥5) outcome at day 90. Safety endpoint was the occurrence of symptomatic intracranial hemorrhage (sICH). RESULTS 429 patients were included. 290 (68%) received IVT and 168 (39%) underwent MT. The rate of good functional outcome was 14.4% (95% CI 7.1% to 21.8%) for patients who received bridging IVT and 24.4% (95% CI 16.5% to 32.2%) for those who underwent direct MT. The rate of sICH was significantly higher in patients with bridging IVT compared with direct MT (17.8% vs 6.4%, p=0.004). In multivariable logistic regression analysis, IVT was significantly associated with very poor outcome (OR 2.22, 95% CI 1.05 to 4.73, p=0.04) and sICH (OR 3.44, 95% CI 1.18 to 10.07, p=0.02). Successful recanalization, age, and ASPECTS were associated with good functional outcome. CONCLUSIONS Bridging IVT in patients with low ASPECTS was associated with very poor functional outcome and an increased risk of sICH. The benefit of this treatment should therefore be carefully weighed in such scenarios. Further randomized controlled trials are required to validate our findings.
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Affiliation(s)
- Gabriel Broocks
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Rosalie McDonough
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Matthias Bechstein
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Uta Hanning
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Caspar Brekenfeld
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Fabian Flottmann
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Helge Kniep
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Marie Teresa Nawka
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Milani Deb-Chatterji
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Götz Thomalla
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Peter Sporns
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.,Department of Diagnostic and Interventional Neuroradiology, University Hospital Basel, Basel, Switzerland
| | - Leonard Ll Yeo
- National University Health System and Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Benjamin Yq Tan
- National University Health System and Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Anil Gopinathan
- National University Health System and Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Andreas Kastrup
- Department of Neurology, Klinikum Bremen-Mitte gGmbH, Bremen, Germany
| | - Maria Politi
- Department of Neuroradiology, Klinikum Bremen-Mitte GmbH, Bremen, Germany
| | - Panagiotis Papanagiotou
- Department of Neuroradiology, Klinikum Bremen-Mitte GmbH, Bremen, Germany.,National and Kapodistrian University of Athens, Aretaiio Hospital, Athens, Greece
| | | | - Jens Fiehler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Lukas Meyer
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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23
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Sporns PB, Rusche T, Lee S, Hanning U, Meyer L, Faizy T, Fiehler J, Psychogios M, Kemmling A, Broocks G. Impact of edema formation on functional outcome in pediatric stroke patients. Eur J Neurol 2023; 30:150-154. [PMID: 36168926 DOI: 10.1111/ene.15576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 09/09/2022] [Indexed: 11/27/2022]
Abstract
BACKGROUND Quantitative lesion net water uptake (NWU) has been described as an imaging biomarker reflecting vasogenic edema as an early indicator of infarct progression. We hypothesized that edema formation measured by NWU is higher in children compared to adults but despite this functional outcome may be better in children. METHODS This study analyzed children enrolled in the Save ChildS Study who had baseline and follow-up computed tomography available and the data were compared to adult patients. RESULTS Some 207 patients, of whom 13 were children and 194 were adults, were analyzed. Median NWU at baseline was 7.8% (IQR: 4.3-11.3), and there were no significant differences between children and adults (7.5% vs. 7.8%; p = 0.87). The early edema progression rate was 3.0%/h in children and 2.3%/h in adults. Median ΔNWU was 15.1% in children and 10.5% in adults. Children had significantly more often excellent (mRS 0-1; children 10/13 = 77% vs. adults 28/196 = 14%; p < 0.0001) and favorable clinical outcomes (mRS 0-2, 12/13 = 92% vs. 39/196 = 20%; p < 0.0001). CONCLUSIONS In this study, clinical outcomes in children with large vessel occlusion strokes were better than in adults despite similar clinical and imaging characteristics and similar edema formation. This may be impacted by the generally better outcomes of children after strokes but may demonstrate that the degree of early ischemic changes using Alberta Stroke Program Early Computed Tomography Score (ASPECTS) and edema progression rate may not be a reason for exclusion from endovascular thrombectomy.
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Affiliation(s)
- Peter B Sporns
- Department of Neuroradiology, University Hospital Basel, Basel, Switzerland.,Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Thilo Rusche
- Department of Neuroradiology, University Hospital Basel, Basel, Switzerland
| | - Sarah Lee
- Division of Child Neurology, Department of Neurology & Neurological Sciences, Stanford University School of Medicine, Stanford, California, USA
| | - Uta Hanning
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Lukas Meyer
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Tobias Faizy
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jens Fiehler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Marios Psychogios
- Department of Neuroradiology, University Hospital Basel, Basel, Switzerland
| | - Andre Kemmling
- Department of Neuroradiology, University Hospital Marburg, Marburg, Germany
| | - Gabriel Broocks
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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24
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Sarraj A, Pujara DK, Churilov L, Sitton CW, Ng F, Hassan AE, Abraham MG, Blackburn SL, Sharma G, Yassi N, Kleinig T, Shah D, Wu TY, Tekle WG, Budzik RF, Hicks WJ, Vora N, Edgell RC, Haussen D, Ortega-Gutierrez S, Toth G, Maali L, Abdulrazzak MA, Al-Shaibi F, AlMaghrabi T, Yogendrakumar V, Shaker F, Mir O, Arora A, Duncan K, Sundararajan S, Opaskar A, Hu Y, Ray A, Sunshine J, Bambakidis N, Martin-Schild S, Hussain MS, Nogueira R, Furlan A, Sila CA, Grotta JC, Parsons M, Mitchell PJ, Donnan GA, Davis SM, Albers GW, Campbell BCV. Mediation of Successful Reperfusion Effect through Infarct Growth and Cerebral Edema: A Pooled, Patient-Level Analysis of EXTEND-IA Trials and SELECT Prospective Cohort. Ann Neurol 2022; 93:793-804. [PMID: 36571388 DOI: 10.1002/ana.26587] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 12/01/2022] [Accepted: 12/16/2022] [Indexed: 12/27/2022]
Abstract
OBJECTIVE Reperfusion therapy is highly beneficial for ischemic stroke. Reduction in both infarct growth and edema are plausible mediators of clinical benefit with reperfusion. We aimed to quantify these mediators and their interrelationship. METHODS In a pooled, patient-level analysis of the EXTEND-IA trials and SELECT study, we used a mediation analysis framework to quantify infarct growth and cerebral edema (midline shift) mediation effect on successful reperfusion (modified Treatment in Cerebral Ischemia ≥ 2b) association with functional outcome (modified Rankin Scale distribution). Furthermore, we evaluated an additional pathway to the original hypothesis, where infarct growth mediated successful reperfusion effect on midline shift. RESULTS A total 542 of 665 (81.5%) eligible patients achieved successful reperfusion. Baseline clinical and imaging characteristics were largely similar between those achieving successful versus unsuccessful reperfusion. Median infarct growth was 12.3ml (interquartile range [IQR] = 1.8-48.4), and median midline shift was 0mm (IQR = 0-2.2). Of 249 (37%) demonstrating a midline shift of ≥1mm, median shift was 2.75mm (IQR = 1.89-4.21). Successful reperfusion was associated with reductions in both predefined mediators, infarct growth (β = -1.19, 95% confidence interval [CI] = -1.51 to -0.88, p < 0.001) and midline shift (adjusted odds ratio = 0.36, 95% CI = 0.23-0.57, p < 0.001). Successful reperfusion association with improved functional outcome (adjusted common odds ratio [acOR] = 2.68, 95% CI = 1.86-3.88, p < 0.001) became insignificant (acOR = 1.39, 95% CI = 0.95-2.04, p = 0.094) when infarct growth and midline shift were added to the regression model. Infarct growth and midline shift explained 45% and 34% of successful reperfusion effect, respectively. Analysis considering an alternative hypothesis demonstrated consistent results. INTERPRETATION In this mediation analysis from a pooled, patient-level cohort, a significant proportion (~80%) of successful reperfusion effect on functional outcome was mediated through reduction in infarct growth and cerebral edema. Further studies are required to confirm our findings, detect additional mediators to explain successful reperfusion residual effect, and identify novel therapeutic targets to further enhance reperfusion benefits. ANN NEUROL 2023.
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Affiliation(s)
- Amrou Sarraj
- Department of Neurology, Case Western Reserve University, Cleveland, OH, USA.,Department of Neurology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Deep K Pujara
- Department of Neurology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Leonid Churilov
- Department of Neurology, Royal Melbourne Hospitals, University of Melbourne, Parkville, Victoria, Australia
| | - Clark W Sitton
- Department of Diagnostic and Interventional Radiology, UTHealth McGovern Medical School, Houston, TX, USA
| | - Felix Ng
- Department of Neurology, Royal Melbourne Hospitals, University of Melbourne, Parkville, Victoria, Australia
| | - Ameer E Hassan
- University of Texas Rio Grande Valley-Valley Baptist Medical Center, Harlingen, TX, USA
| | - Michael G Abraham
- Department of Neurology and Radiology, University of Kansas Medical Center, Kansas City, KS, USA
| | - Spiros L Blackburn
- Department of Neurosurgery, UTHealth McGovern Medical School, Houston, TX, USA
| | - Gagan Sharma
- Department of Neurology, Royal Melbourne Hospitals, University of Melbourne, Parkville, Victoria, Australia
| | - Nawaf Yassi
- Department of Neurology, Royal Melbourne Hospitals, University of Melbourne, Parkville, Victoria, Australia.,Walter and Eliza Hall Institute of Medical Research, Population Health and Immunity, Parkville, Victoria, Australia
| | - Timothy Kleinig
- Department of Neurology, Royal Adelaide Hospital, Adelaide, South Australia, Australia
| | - Darshan Shah
- Department of Neurology, Gold Coast University Hospital, Southport, Queensland, Australia
| | - Teddy Y Wu
- Department of Neurology, Christchurch Hospital, Christchurch, New Zealand
| | - Wondwossen G Tekle
- University of Texas Rio Grande Valley-Valley Baptist Medical Center, Harlingen, TX, USA
| | | | | | - Nirav Vora
- Riverside Methodist Hospital, Colombia, OH, USA
| | - Randall C Edgell
- Department of Neurology, Saint Louis University, Saint Louis, MO, USA
| | - Diogo Haussen
- Department of Neurology, Emory University, Atlanta, GA, USA
| | | | - Gabor Toth
- Department of Neurology, Cleveland Clinic, Cleveland, OH, USA
| | - Laith Maali
- Department of Neurology and Radiology, University of Kansas Medical Center, Kansas City, KS, USA
| | | | - Faisal Al-Shaibi
- Department of Neurology, Case Western Reserve University, Cleveland, OH, USA
| | - Tareq AlMaghrabi
- Department of Neurology, University of Tabuk, Tabuk, Kingdom of Saudi Arabia
| | - Vignan Yogendrakumar
- Department of Neurology, Royal Melbourne Hospitals, University of Melbourne, Parkville, Victoria, Australia
| | - Faris Shaker
- Department of Neurosurgery, UTHealth McGovern Medical School, Houston, TX, USA
| | - Osman Mir
- Department of Neurology, Baylor Scott & White Health, Dallas, TX, USA
| | - Ashish Arora
- Department of Neurology, Greensboro
- Cone Health, Greensboro, NC, USA
| | - Kelsey Duncan
- Department of Neurosurgery, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Sophia Sundararajan
- Department of Neurology, Case Western Reserve University, Cleveland, OH, USA.,Department of Neurology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Amanda Opaskar
- Department of Neurosurgery, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Yin Hu
- Department of Neurosurgery, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Abhishek Ray
- Department of Neurosurgery, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Jeffrey Sunshine
- Department of Neurosurgery, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Nicholas Bambakidis
- Department of Neurosurgery, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Sheryl Martin-Schild
- Department of Neurology, Touro Infirmary and New Orleans East Hospital, New Orleans, LA, USA
| | | | - Raul Nogueira
- Department of Neurology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Anthony Furlan
- Department of Neurology, Case Western Reserve University, Cleveland, OH, USA.,Department of Neurology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Cathy A Sila
- Department of Neurology, Case Western Reserve University, Cleveland, OH, USA.,Department of Neurology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - James C Grotta
- Department of Neurology, Memorial Hermann Hospital Texas Medical Center, Houston, TX, USA
| | - Mark Parsons
- Department of Neurology, University of Newcastle, Newcastle, New South Wales, Australia
| | - Peter J Mitchell
- Department of Radiology, Royal Melbourne Hospital-University of Melbourne, Parkville, Victoria, Australia
| | - Geoffrey A Donnan
- Department of Neurology, Royal Melbourne Hospitals, University of Melbourne, Parkville, Victoria, Australia
| | - Stephen M Davis
- Department of Neurology, Royal Melbourne Hospitals, University of Melbourne, Parkville, Victoria, Australia
| | | | - Bruce C V Campbell
- Department of Neurology, Royal Melbourne Hospitals, University of Melbourne, Parkville, Victoria, Australia
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25
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Mueller F, Fabritius MP, Stueckelschweiger L, Kiesl S, Moench S, Tiedt S, Rémi J, Kellert L, Herzberg M, Küpper C, Dimitriadis K, Ricke J, Puhr-Westerheide D, Liebig T, Kunz WG, Reidler P. CT after interhospital transfer in acute ischemic stroke: Imaging findings and impact of prior intravenous contrast administration. Front Neurol 2022; 13:1023147. [PMID: 36570440 PMCID: PMC9767970 DOI: 10.3389/fneur.2022.1023147] [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: 08/19/2022] [Accepted: 11/07/2022] [Indexed: 12/12/2022] Open
Abstract
Objectives Large vessel occlusion (LVO) stroke patients routinely undergo interhospital transfer to endovascular thrombectomy capable centers. Imaging is often repeated with residual intravenous (IV) iodine contrast at post-transfer assessment. We determined imaging findings and the impact of residual contrast on secondary imaging. Anterior circulation LVO stroke patients were selected out of a consecutive cohort. Directly admitted patients were contrast naïve, and transferred patients had previously received IV iodine contrast for stroke assessment at the referring hospital. Two independent readers rated the visibility of residual contrast on non-contrast computed tomography (CT) after transfer and assessed the hyperdense vessel sign. Multivariate linear regression analysis was used to investigate the association of the Alberta Stroke Program Early CT score (ASPECTS) with prior contrast administration, time from symptom onset (TFSO), and CTP ischemic core volume in both directly admitted and transferred patients. Results We included 161 patients, with 62 (39%) transferred and 99 (62%) directly admitted patients. Compared between these groups, transferred patients had a longer TFSO-to-imaging at our institution (median: 212 vs. 75 min, p < 0.001) and lower ASPECTS (median: 8 vs. 9, p < 0.001). Regression analysis presented an independent association of ASPECTS with prior contrast administration (β = -0.25, p = 0.004) but not with TFSO (β = -0.03, p = 0.65). Intergroup comparison between transferred and directly admitted patients pointed toward a stronger association between ASPECTS and CTP ischemic core volume in transferred patients (β = -0.39 vs. β = -0.58, p = 0.06). Detectability of the hyperdense vessel sign was substantially lower after transfer (66 vs. 10%, p < 0.001). Conclusion Imaging alterations due to residual IV contrast are frequent in clinical practice and render the hyperdense vessel sign largely indetectable. Larger studies are needed to clarify the influence on the association between ASPECTS and ischemic core.
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Affiliation(s)
- Franziska Mueller
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | | | | | - Sophia Kiesl
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Sebastian Moench
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Steffen Tiedt
- Institute for Stroke and Dementia Research, LMU Munich, Munich, Germany
| | - Jan Rémi
- Department of Neurology, University Hospital, LMU Munich, Munich, Germany
| | - Lars Kellert
- Department of Neurology, University Hospital, LMU Munich, Munich, Germany
| | - Moriz Herzberg
- Department of Diagnostic and Interventional Radiology, University Hospital Wuerzburg, Wuerzburg, Germany
| | - Clemens Küpper
- Department of Neurology, University Hospital, LMU Munich, Munich, Germany
| | - Konstantinos Dimitriadis
- Institute for Stroke and Dementia Research, LMU Munich, Munich, Germany,Department of Neurology, University Hospital, LMU Munich, Munich, Germany
| | - Jens Ricke
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | | | - Thomas Liebig
- Department of Neuroradiology, University Hospital, LMU Munich, Munich, Germany
| | - Wolfgang G. Kunz
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Paul Reidler
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany,*Correspondence: Paul Reidler
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26
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McDonough R, Elsayed S, Meyer L, Ewers T, Bechstein M, Kniep H, Nawka MT, Faizy TD, Schön G, Thomalla G, Fiehler J, Hanning U, Kemmling A, Broocks G. Low baseline ischemic water uptake is directly related to overestimation of CT perfusion-derived ischemic core volume. Sci Rep 2022; 12:20567. [PMID: 36446862 PMCID: PMC9708677 DOI: 10.1038/s41598-022-19176-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2021] [Accepted: 08/25/2022] [Indexed: 11/30/2022] Open
Abstract
Computed-tomography perfusion (CTP) is frequently used to screen acute ischemic stroke (AIS) patients for endovascular treatment (EVT), despite known problems with ischemic "core" overestimation. This potentially leads to the unfair exclusion of patients from EVT. We propose that net water uptake (NWU) can be used in addition to CTP to more accurately assess the extent and/or stage of tissue infarction. Patients treated for AIS between 06/2015 and 07/2020 were retrospectively analyzed. Baseline CTP-derived core volume (pCore) and NWU were determined. Logistic regression tested the relationship between baseline clinical and imaging variables and core-overestimation (primary outcome). The secondary outcomes comprised 90-day functional independence (modified Rankin score) and lesion growth. 284 patients were included. Median NWU was 7.2% (IQR 2.6-12.8). ASPECTS (RR 1.28, 95% CI 1.09-1.51), NWU (RR 0.94, 95% CI 0.89-0.98), onset to recanalization (RR 1.00, 95% CI 0.99-1.00) and imaging (RR 1.00, 95% CI 1.00-1.00) times, and pCore (RR 1.02, 95% CI 1.01-1.02) were significantly associated with core overestimation. Core-overestimation was more likely to occur in patients with large pCores and low NWU at baseline. NWU was significantly correlated with lesion growth. We conclude that NWU can be used as a supplemental tool to CTP during admission imaging to more accurately assess the extent of ischemia, particularly relevant for patients with large CTP-defined cores who would otherwise be excluded from treatment.
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Affiliation(s)
- Rosalie McDonough
- grid.13648.380000 0001 2180 3484Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246 Hamburg, Germany
| | - Sarah Elsayed
- grid.13648.380000 0001 2180 3484Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246 Hamburg, Germany
| | - Lukas Meyer
- grid.13648.380000 0001 2180 3484Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246 Hamburg, Germany
| | - Theresa Ewers
- grid.13648.380000 0001 2180 3484Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246 Hamburg, Germany
| | - Matthias Bechstein
- grid.13648.380000 0001 2180 3484Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246 Hamburg, Germany
| | - Helge Kniep
- grid.13648.380000 0001 2180 3484Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246 Hamburg, Germany
| | - Marie Teresa Nawka
- grid.13648.380000 0001 2180 3484Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246 Hamburg, Germany
| | - Tobias D. Faizy
- grid.13648.380000 0001 2180 3484Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246 Hamburg, Germany
| | - Gerhard Schön
- grid.13648.380000 0001 2180 3484Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Götz Thomalla
- grid.13648.380000 0001 2180 3484Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jens Fiehler
- grid.13648.380000 0001 2180 3484Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246 Hamburg, Germany
| | - Uta Hanning
- grid.13648.380000 0001 2180 3484Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246 Hamburg, Germany
| | - Andre Kemmling
- Department of Neuroradiology, Westpfalz-Klinikum, Kaiserslautern, Germany
| | - Gabriel Broocks
- grid.13648.380000 0001 2180 3484Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246 Hamburg, Germany
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27
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Lang M, Leithner C, Scheel M, Kenda M, Cronberg T, During J, Rylander C, Annborn M, Dankiewicz J, Deye N, Halliday T, Lascarrou JB, Matthew T, McGuigan P, Morgan M, Thomas M, Ullén S, Undén J, Nielsen N, Moseby-Knappe M. Prognostic accuracy of head computed tomography for prediction of functional outcome after out-of-hospital cardiac arrest: Rationale and design of the prospective TTM2-CT-substudy. Resusc Plus 2022; 12:100316. [PMID: 36267356 PMCID: PMC9576971 DOI: 10.1016/j.resplu.2022.100316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Accepted: 09/19/2022] [Indexed: 11/30/2022] Open
Abstract
Background Head computed tomography (CT) is a guideline recommended method to predict functional outcome after cardiac arrest (CA), but standardized criteria for evaluation are lacking. To date, no prospective trial has systematically validated methods for diagnosing hypoxic-ischaemic encephalopathy (HIE) on CT after CA. We present a protocol for validation of pre-specified radiological criteria for assessment of HIE on CT for neuroprognostication after CA. Methods/design This is a prospective observational international multicentre substudy of the Targeted Hypothermia versus Targeted Normothermia after out-of-hospital cardiac arrest (TTM2) trial. Patients still unconscious 48 hours post-arrest at 13 participating hospitals were routinely examined with CT. Original images will be evaluated by examiners blinded to clinical data using a standardized protocol. Qualitative assessment will include evaluation of absence/presence of "severe HIE". Radiodensities will be quantified in pre-specified regions of interest for calculation of grey-white matter ratios (GWR) at the basal ganglia level. Functional outcome will be dichotomized into good (modified Rankin Scale 0-3) and poor (modified Rankin Scale 4-6) at six months post-arrest. Prognostic accuracies for good and poor outcome will be presented as sensitivities and specificities with 95% confidence intervals (using pre-specified cut-offs for quantitative analysis), descriptive statistics (Area Under the Receiver Operating Characteristics Curve), inter- and intra-rater reliabilities according to STARD guidelines. Conclusions The results from this prospective trial will validate a standardized approach to radiological evaluations of HIE on CT for prediction of functional outcome in comatose CA patients.The TTM2 trial and the TTM2 CT substudy are registered at ClinicalTrials.gov NCT02908308 and NCT03913065.
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Affiliation(s)
- Margareta Lang
- Department of Clinical Sciences Lund, Radiology, Lund University, Helsingborg Hospital, Helsingborg, Sweden,Corresponding author at: Helsingborg Hospital, Department of Radiology, 252 23 Helsingborg, Sweden.
| | - Christoph Leithner
- Department of Neurology and Experimental Neurology, Charité-Universitätsmedizin Berlin, Germany
| | - Michael Scheel
- Department of Neuroradiology, Charité-Universitätsmedizin Berlin, Germany
| | - Martin Kenda
- Department of Neurology and Experimental Neurology, Charité-Universitätsmedizin Berlin, Germany,Berlin Institute of Health at Charité, Universitätsmedizin Berlin, Germany
| | - Tobias Cronberg
- Department of Clinical Sciences Lund, Neurology, Lund University, Skåne University Hospital, Lund, Sweden
| | - Joachim During
- Department of Clinical Sciences Lund, Anaesthesia and Intensive Care, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Christian Rylander
- Department of Surgical Sciences, Anaesthesia and Intensive Care, Uppsala University, Uppsala, Sweden
| | - Martin Annborn
- Department of Clinical Sciences Lund, Anesthesia & Intensive Care, Lund University, Helsingborg Hospital, Helsingborg, Sweden
| | - Josef Dankiewicz
- Department of Clinical Sciences Lund, Cardiology, Lund University, Skåne University, Lund, Sweden
| | - Nicolas Deye
- Department of Medical and Toxicological Intensive Care Unit, Lariboisière Hospital, Paris, France
| | - Thomas Halliday
- Department of Operation and Intensive Care, Linköping University Hospital, Linköping, Sweden
| | | | - Thomas Matthew
- Intensive Care Unit, University Hospitals, Bristol and Weston, England, United Kingdom
| | - Peter McGuigan
- Regional Intensive Care Unit, Royal Victoria Hospital, Belfast, Northern Ireland, United Kingdom
| | - Matt Morgan
- Department of Intensive Care, the Royal Perth Hospital, Perth, Australia,Department of Intensive Care, The University Hospital of Wales, Cardiff, United Kingdom,School of Medicine, Curtin University, Perth, Australia
| | - Matthew Thomas
- University Hospitals, Bristol and Weston, United Kingdom
| | - Susann Ullén
- Clinical Studies Sweden – Forum South, Skåne University Hospital, Lund, Sweden
| | - Johan Undén
- Department of Clinical Science Lund, Lund, Sweden,Department of Operation and Intensive Care, Hallands Hospital Halmstad, Halmstad, Sweden
| | - Niklas Nielsen
- Department of Clinical Sciences Lund, Anesthesia & Intensive Care, Lund University, Helsingborg Hospital, Helsingborg, Sweden
| | - Marion Moseby-Knappe
- Department of Clinical Sciences Lund, Neurology, Lund University, Skåne University Hospital, Lund, Sweden
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Jena B, Saxena S, Nayak GK, Balestrieri A, Gupta N, Khanna NN, Laird JR, Kalra MK, Fouda MM, Saba L, Suri JS. Brain Tumor Characterization Using Radiogenomics in Artificial Intelligence Framework. Cancers (Basel) 2022; 14:4052. [PMID: 36011048 PMCID: PMC9406706 DOI: 10.3390/cancers14164052] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 08/17/2022] [Accepted: 08/19/2022] [Indexed: 11/16/2022] Open
Abstract
Brain tumor characterization (BTC) is the process of knowing the underlying cause of brain tumors and their characteristics through various approaches such as tumor segmentation, classification, detection, and risk analysis. The substantial brain tumor characterization includes the identification of the molecular signature of various useful genomes whose alteration causes the brain tumor. The radiomics approach uses the radiological image for disease characterization by extracting quantitative radiomics features in the artificial intelligence (AI) environment. However, when considering a higher level of disease characteristics such as genetic information and mutation status, the combined study of "radiomics and genomics" has been considered under the umbrella of "radiogenomics". Furthermore, AI in a radiogenomics' environment offers benefits/advantages such as the finalized outcome of personalized treatment and individualized medicine. The proposed study summarizes the brain tumor's characterization in the prospect of an emerging field of research, i.e., radiomics and radiogenomics in an AI environment, with the help of statistical observation and risk-of-bias (RoB) analysis. The PRISMA search approach was used to find 121 relevant studies for the proposed review using IEEE, Google Scholar, PubMed, MDPI, and Scopus. Our findings indicate that both radiomics and radiogenomics have been successfully applied aggressively to several oncology applications with numerous advantages. Furthermore, under the AI paradigm, both the conventional and deep radiomics features have made an impact on the favorable outcomes of the radiogenomics approach of BTC. Furthermore, risk-of-bias (RoB) analysis offers a better understanding of the architectures with stronger benefits of AI by providing the bias involved in them.
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Affiliation(s)
- Biswajit Jena
- Department of CSE, International Institute of Information Technology, Bhubaneswar 751003, India
| | - Sanjay Saxena
- Department of CSE, International Institute of Information Technology, Bhubaneswar 751003, India
| | - Gopal Krishna Nayak
- Department of CSE, International Institute of Information Technology, Bhubaneswar 751003, India
| | | | - Neha Gupta
- Department of IT, Bharati Vidyapeeth’s College of Engineering, New Delhi 110056, India
| | - Narinder N. Khanna
- Department of Cardiology, Indraprastha APOLLO Hospitals, New Delhi 110076, India
| | - John R. Laird
- Heart and Vascular Institute, Adventist Health St. Helena, St. Helena, CA 94574, USA
| | - Manudeep K. Kalra
- Department of Radiology, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA
| | - Mostafa M. Fouda
- Department of Electrical and Computer Engineering, Idaho State University, Pocatello, ID 83209, USA
| | - Luca Saba
- Department of Radiology, AOU, University of Cagliari, 09124 Cagliari, Italy
| | - Jasjit S. Suri
- Stroke Diagnosis and Monitoring Division, AtheroPoint™, Roseville, CA 95661, USA
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ASPECTS-based net water uptake predicts poor reperfusion and poor clinical outcomes in patients with ischemic stroke. Eur Radiol 2022; 32:7026-7035. [PMID: 35980434 DOI: 10.1007/s00330-022-09077-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Revised: 07/27/2022] [Accepted: 08/01/2022] [Indexed: 11/04/2022]
Abstract
OBJECTIVE To investigate the value of automated Alberta Stroke Program Early CT Score (ASPECTS)-based net water uptake (NWU) to predict tissue-level reperfusion status and 90-day functional outcomes in acute ischemic stroke (AIS) patients after reperfusion therapy. METHODS One hundred and twelve patients with AIS who received reperfusion therapy were enrolled. ASPECTS-NWU was calculated from admission CT (NWUadmission) and follow-up CT (NWUFCT), and the difference (ΔNWU) was calculated. Tissue-level reperfusion status was evaluated via follow-up arterial spin labeling imaging. The relationship between ASPECTS-NWU and tissue-level reperfusion was evaluated. Predictors of 90-day unfavorable outcomes (modified Rankin Scale score > 2) were assessed by multivariate logistic regression analysis and receiver operating characteristic (ROC) curves. RESULTS Poor reperfusion was observed in 40 patients (35.7%) after therapy. Those patients had significantly elevated NWUFCT (median, 14.15% vs. 8.08%, p = 0.018) and higher ΔNWU (median, 4.12% vs. -2.03%, p < 0.001), compared to patients with good reperfusion. High ΔNWU was a significant marker of poor reperfusion despite successful recanalization. National Institutes of Health Stroke Scale score at admission (odds ratio [OR], 1.11; 95% confidence interval [CI] 1.03-1.20, p = 0.007) and ΔNWU (OR, 1.07; 95% CI 1.02-1.13, p = 0.008) were independently associated with unfavorable outcomes. An outcome prediction model including both parameters yields an area under the curve of 0.762 (sensitivity 70.3%, specificity, 84.2%). CONCLUSIONS Elevated NWUFCT and higher ΔNWU were associated with poor tissue-level reperfusion after therapy. Higher ΔNWU was an independent predictor of poor reperfusion and unfavorable neurological outcomes despite successful recanalization. KEY POINTS • ASPECTS-NWU may provide pathophysiological information about tissue-level reperfusion status and offer prognostic benefits for patients with AIS after reperfusion therapy. • Elevated NWUFCT and higher ΔNWU were correlated with poor tissue-level reperfusion after therapy. • A higher ΔNWU is an independent predictor of poor reperfusion and 90-day unfavorable outcomes despite successful recanalization.
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Xu T, Yang J, Han Q, Wu Y, Gao X, Xu Y, Huang Y, Wang A, Parsons MW, Lin L. Net water uptake, a neuroimaging marker of early brain edema, as a predictor of symptomatic intracranial hemorrhage after acute ischemic stroke. Front Neurol 2022; 13:903263. [PMID: 35968283 PMCID: PMC9363701 DOI: 10.3389/fneur.2022.903263] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 06/27/2022] [Indexed: 11/15/2022] Open
Abstract
Objective We hypothesized that quantitative net water uptake (NWU), a novel neuroimaging marker of early brain edema, can predict symptomatic intracranial hemorrhage (sICH) after acute ischemic stroke (AIS). Methods We enrolled patients with AIS who completed admission multimodal computed tomography (CT) within 24 h after stroke onset. NWU within the ischemic core and penumbra was calculated based on admission CT, namely NWU-core and NWU-penumbra. sICH was defined as the presence of ICH in the infarct area within 7 days after stroke onset, accompanied by clinical deterioration. The predictive value of NWU-core and NWU-penumbra on sICH was evaluated by logistic regression analyses and the receiver operating characteristic (ROC) curve. A pure neuroimaging prediction model was built considering imaging markers, which has the potential to be automatically quantified with an artificial algorithm on image workstation. Results 154 patients were included, of which 93 underwent mechanical thrombectomy (MT). The median time from symptom onset to admission CT was 262 min (interquartile range, 198–368). In patients with MT, NWU-penumbra (OR =1.442; 95% CI = 1.177–1.766; P < 0.001) and NWU-core (OR = 1.155; 95% CI = 1.027–1.299; P = 0.016) were independently associated with sICH with adjustments for age, sex, time from symptom onset to CT, hypertension, lesion volume, and admission National Institutes of Health Stroke Scale (NIHSS) score. ROC curve showed that NWU-penumbra had better predictive performance than NWU-core on sICH [area under the curve (AUC): 0.773 vs. 0.673]. The diagnostic efficiency of the predictive model was improved with the containing of NWU-penumbra (AUC: 0.853 vs. 0.760). A pure imaging model also presented stable predictive power (AUC = 0.812). In patients without MT, however, only admission NIHSS score (OR = 1.440; 95% CI = 1.055–1.965; P = 0.022) showed significance in predicting sICH in multivariate analyses. Conclusions NWU-penumbra may have better predictive performance than NWU-core on sICH after MT. A pure imaging model showed potential value to automatically screen patients with sICH risk by image recognition, which may optimize treatment strategy.
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Affiliation(s)
- Tianqi Xu
- Department of Neurology, Ningbo First Hospital, Ningbo Hospital of Zhejiang University, Ningbo, China
| | - Jianhong Yang
- Department of Neurology, Ningbo First Hospital, Ningbo Hospital of Zhejiang University, Ningbo, China
| | - Qing Han
- Department of Neurology, Ningbo First Hospital, Ningbo Hospital of Zhejiang University, Ningbo, China
| | - Yuefei Wu
- Department of Neurology, Ningbo First Hospital, Ningbo Hospital of Zhejiang University, Ningbo, China
| | - Xiang Gao
- Department of Neurosurgery, Ningbo First Hospital, Ningbo Hospital of Zhejiang University, Ningbo, China
| | - Yao Xu
- Department of Neurology, Ningbo First Hospital, Ningbo Hospital of Zhejiang University, Ningbo, China
| | - Yi Huang
- Department of Neurosurgery, Ningbo First Hospital, Ningbo Hospital of Zhejiang University, Ningbo, China
- Key Laboratory of Precision Medicine for Atherosclerotic Diseases of Zhejiang Province, Ningbo, China
| | - Aiju Wang
- Department of Neurology, Ningbo Fourth Hospital, Ningbo, China
| | - Mark W. Parsons
- Sydney Brain Center, University of New South Wales, Sydney, NSW, Australia
- Department of Neurology, Liverpool Hospital, Sydney, NSW, Australia
- Mark W. Parsons
| | - Longting Lin
- Department of Neurology, Ningbo First Hospital, Ningbo Hospital of Zhejiang University, Ningbo, China
- Sydney Brain Center, University of New South Wales, Sydney, NSW, Australia
- *Correspondence: Longting Lin
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Li J, Peng Y, Liu J, Wu J, Yao Y, Gu S, Zhang Z, Li Y, Wang J, Li Y. Estimation of ischemic core in acute ischemic stroke with CT angiography and non-contrast CT: Attenuation changes in ASPECTS regions vs. automated ASPECTS scoring. Front Neurosci 2022; 16:933753. [PMID: 35958990 PMCID: PMC9360489 DOI: 10.3389/fnins.2022.933753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Accepted: 06/28/2022] [Indexed: 12/04/2022] Open
Abstract
Purpose Reperfusion therapies for acute ischemic stroke due to large-vessel occlusion (AIS-LVO) are highly time-dependent, and large infarction is related to poor outcomes and risk of symptomatic hemorrhage. It is of significance to investigate and optimize the screening means and selection criteria for reperfusion therapies to identify more appropriate patients with better outcomes. This study aimed to compare the performance of attenuation changes vs. automated Alberta Stroke Program Early CT Score (ASPECTS) and using CT angiography (CTA) source images vs. non-contrast CT (NCCT) in distinguishing the infarction extent of ischemic core volumes ≥ 70 ml within different time windows. Methods A total of 73 patients with AIS-LVO who received multimodal CT were analyzed. The automated software was used to calculate ASPECTS. Attenuation change was defined as the sum of products of relative Hounsfield unit (rHU) values times weighting factors of all 10 ASPECTS regions. rHU value of each region was the HU of the ischemic side over that of the contralateral. The corresponding weighting factors were the regression coefficients derived from a multivariable linear regression model which was used to correlate regional rHU with ischemic core volumes, because each region in the ASPECTS template is weighted disproportionally in the ASPECTS system. Automated ASPECTS and attenuation changes were both calculated using CTA and NCCT, respectively. Results Attenuation changes were correlated with ischemic core volumes within different time windows (Rho ranging from 0.439 to 0.637). In classification of the ischemic core ≥ 70 ml, the performances of attenuation changes were comparable with ASPECTS (area under the curve [AUC] ranging from 0.799 to 0.891), with DeLong’s test (P = 0.079, P = 0.373); using CTA (AUC = 0.842) was not different from NCCT (AUC = 0.838). Conclusion Attenuation changes in ASPECTS regions were correlated with ischemic core volumes. In the classification of infarction volumes, attenuation changes had a high diagnostic ability comparable with automated ASPECTS. Measurement of attenuation changes is not involved in complicated scoring algorithms. This measurement can be used as an available, rapid, reliable, and accurate means to evaluate infarction extent within different time windows. The usefulness of infarction volumes measured by attenuation changes to identify more appropriate patients for reperfusion therapies can be validated in future clinical trials.
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Affiliation(s)
- Jing Li
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Medical Imaging Center, Central Hospital of Shaoyang, Shaoyang, China
| | - Yuling Peng
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jiayang Liu
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jiajing Wu
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yunzhuo Yao
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Sirun Gu
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Zhiwei Zhang
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yi Li
- Artificial Intelligence and Clinical Innovation Research, Neusoft Research of Intelligent Healthcare Technology, Co., Ltd., Shanghai, China
| | - Jingjie Wang
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- *Correspondence: Jingjie Wang,
| | - Yongmei Li
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Yongmei Li,
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Broocks G, Haupt W, McDonough R, Elsayed S, Flottmann F, Bechstein M, Schön G, Kniep H, Kemmling A, Zeleňák K, Fiehler J, Hanning U, Meyer L. Impact of relative cerebral blood volume reduction on early neurological improvement in extensive ischemic stroke. Eur J Neurol 2022; 29:3264-3272. [PMID: 35808904 DOI: 10.1111/ene.15491] [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: 06/08/2022] [Accepted: 06/29/2022] [Indexed: 11/27/2022]
Abstract
PURPOSE The benefit of endovascular treatment (EVT) for patients with low ASPECTS is yet ambiguous and currently investigated in randomized trials. As a tool for estimation of infarct extent and progression, CT-perfusion might predict early neurological improvement (ENI) after EVT. OBJECTIVE We hypothesized that the degree of relative cerebral blood volume (rCBV) reduction is directly associated with ENI in low ASPECTS patients undergoing EVT. METHODS Ischemic stroke patients with ASPECTS≤5 who received multimodal-CT and underwent thrombectomy were analyzed. The rCBV reduction was defined as the ratio of CBV measured in the ischemic lesion and contralateral CBV. Complete reperfusion was defined as eTICI 2c-3. Clinical endpoint was early neurological improvement (ENI) at 24-hours defined continuously (NIHSS change from baseline to 24-hours) and binarized (NIHSS at 24-hours≤8). RESULTS 102 patients were included. Lower rCBV reduction and complete EVT were independently associated with ENI (-11.4 NIHSS points, p=0.04; -7.3 points, p<0.0001, respectively). The effect of complete EVT on ENI was directly linked to the degree of rCBV reduction: the probability for binary ENI was +34.6%, p=0.004 in patients with low rCBV reduction versus +8.2%, p=0.28 in patients with high rCBV reduction. CONCLUSION In ischemic stroke with low ASPECTS, ENI was directly linked to the degree of rCBV reduction as a potential indicator of ischemia depth in extensive baseline infarction. Lower rCBV reduction was associated with higher probability of ENI after complete reperfusion suggesting a less pronounced lesion progression despite its large extent and hence, a higher susceptibility to EVT.
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Affiliation(s)
- Gabriel Broocks
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg
| | - Wolfgang Haupt
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg
| | - Rosalie McDonough
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg
| | - Sarah Elsayed
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg
| | - Fabian Flottmann
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg
| | - Matthias Bechstein
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg
| | - Gerhard Schön
- Department of Neuroradiology, University Medical Center Marburg, Marburg, Germany
| | - Helge Kniep
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg
| | - Andre Kemmling
- Department of Neuroradiology, University Medical Center Marburg, Marburg, Germany
| | - Kamil Zeleňák
- Department of Radiology, Comenius University's Jessenius Faculty of Medicine and University Hospital, Martin, Slovakia
| | - Jens Fiehler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg
| | - Uta Hanning
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg
| | - Lukas Meyer
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg
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Haupt W, Meyer L, Wagner M, McDonough R, Elsayed S, Bechstein M, Schön G, Kniep H, Kemmling A, Fiehler J, Hanning U, Broocks G. Assessment of Irreversible Tissue Injury in Extensive Ischemic Stroke-Potential of Quantitative Cerebral Perfusion. Transl Stroke Res 2022:10.1007/s12975-022-01058-9. [PMID: 35778671 DOI: 10.1007/s12975-022-01058-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 06/07/2022] [Accepted: 06/23/2022] [Indexed: 10/17/2022]
Abstract
Computed tomography perfusion (CTP) is used as a tool to select ischemic stroke patients for endovascular treatment (EVT) and is currently investigated in the setting of extensive stroke with low Alberta Stroke Program Early CT scores (ASPECTS). The purpose of this study was to perform a comprehensive quantitative analysis of cerebral blood flow within the ischemic lesion compared to threshold-derived core lesion volumes. We hypothesized that the degree of cerebral blood volume (CBV) reduction within the ischemic lesion is predictive of irreversible tissue injury and functional outcome in patients with low ASPECTS. Ischemic stroke patients with an ASPECTS ≤ 5 who received multimodal CT on admission and underwent thrombectomy were analyzed. The ischemic lesion on CTP was identified, and CTP-derived parameters were measured as absolute means within the lesion and relative to the physiological perfusion measured in a contralateral region of interest. The degree of irreversible tissue injury was assessed using quantitative net water uptake (NWU). Functional endpoint was good outcome defined as modified Rankin Scale (mRS) scores 0-3 at day 90. One hundred eleven patients were included. The median core lesion volume was 71 ml (IQR: 25-107), and the median quantitative NWU was 9.5% (IQR: 6-13). Relative CBV (rCBV) reduction and ASPECTS at baseline were independently associated with NWU in multivariable linear regression analysis (ß: 12.4, 95%CI: 6.0-18.9, p < 0.0001) and (ß: - 0.78, 95% CI: - 1.53 to - 0.02; p = 0.045), respectively. Furthermore, rCBV was significantly associated with good outcome in patients with core volumes > 50 ml (OR: 0.16, 95% CI: 0.05-0.49, p = 0.001). Our study shows that rCBV reduction serves as an early surrogate for increase of NWU as a marker of irreversible tissue injury and lesion progression. Thus, the analysis of rCBV reduction within ischemic lesions may add another dimension to acute stroke triage in addition to core volumes or ASPECTS as indicators of the infarct extent and viability.
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Affiliation(s)
- Wolfgang Haupt
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Lukas Meyer
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Maximilian Wagner
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Rosalie McDonough
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany.,Departments of Clinical Neuroscience and Radiology, Cummings School of Medicine, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Sarah Elsayed
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Matthias Bechstein
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Gerhard Schön
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Helge Kniep
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Andre Kemmling
- Department of Neuroradiology, University Medical Center Marburg, Marburg, Germany
| | - Jens Fiehler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Uta Hanning
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Gabriel Broocks
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany.
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Kumar A, Chen Y, Corbin A, Hamzehloo A, Abedini A, Vardar Z, Carey G, Bhatia K, Heitsch L, Derakhshan JJ, Lee JM, Dhar R. Automated Measurement of Net Water Uptake From Baseline and Follow-Up CTs in Patients With Large Vessel Occlusion Stroke. Front Neurol 2022; 13:898728. [PMID: 35832178 PMCID: PMC9271791 DOI: 10.3389/fneur.2022.898728] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 06/06/2022] [Indexed: 11/13/2022] Open
Abstract
Quantifying the extent and evolution of cerebral edema developing after stroke is an important but challenging goal. Lesional net water uptake (NWU) is a promising CT-based biomarker of edema, but its measurement requires manually delineating infarcted tissue and mirrored regions in the contralateral hemisphere. We implement an imaging pipeline capable of automatically segmenting the infarct region and calculating NWU from both baseline and follow-up CTs of large-vessel occlusion (LVO) patients. Infarct core is extracted from CT perfusion images using a deconvolution algorithm while infarcts on follow-up CTs were segmented from non-contrast CT (NCCT) using a deep-learning algorithm. These infarct masks were flipped along the brain midline to generate mirrored regions in the contralateral hemisphere of NCCT; NWU was calculated as one minus the ratio of densities between regions, removing voxels segmented as CSF and with HU outside thresholds of 20-80 (normal hemisphere and baseline CT) and 0-40 (infarct region on follow-up). Automated results were compared with those obtained using manually-drawn infarcts and an ASPECTS region-of-interest based method that samples densities within the infarct and normal hemisphere, using intraclass correlation coefficient (ρ). This was tested on serial CTs from 55 patients with anterior circulation LVO (including 66 follow-up CTs). Baseline NWU using automated core was 4.3% (IQR 2.6-7.3) and correlated with manual measurement (ρ = 0.80, p < 0.0001) and ASPECTS (r = -0.60, p = 0.0001). Automatically segmented infarct volumes (median 110-ml) correlated to manually-drawn volumes (ρ = 0.96, p < 0.0001) with median Dice similarity coefficient of 0.83 (IQR 0.72-0.90). Automated NWU was 24.6% (IQR 20-27) and highly correlated to NWU from manually-drawn infarcts (ρ = 0.98) and the sampling-based method (ρ = 0.68, both p < 0.0001). We conclude that this automated imaging pipeline is able to accurately quantify region of infarction and NWU from serial CTs and could be leveraged to study the evolution and impact of edema in large cohorts of stroke patients.
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Affiliation(s)
- Atul Kumar
- Department of Neurology, Washington University in St. Louis School of Medicine, Saint Louis, MO, United States
| | - Yasheng Chen
- Department of Neurology, Washington University in St. Louis School of Medicine, Saint Louis, MO, United States
| | - Aaron Corbin
- Saint Louis University School of Medicine, Saint Louis, MO, United States
| | - Ali Hamzehloo
- Department of Neurology, Washington University in St. Louis School of Medicine, Saint Louis, MO, United States
| | - Amin Abedini
- Department of Radiology, Washington University in St. Louis School of Medicine, Saint Louis, MO, United States
| | - Zeynep Vardar
- Department of Radiology, University of Massachusetts Medical School, Worcester, MA, United States
| | - Grace Carey
- Department of Neurology, Washington University in St. Louis School of Medicine, Saint Louis, MO, United States
| | - Kunal Bhatia
- Department of Neurology, Washington University in St. Louis School of Medicine, Saint Louis, MO, United States
| | - Laura Heitsch
- Department of Emergency Medicine, Washington University in St. Louis School of Medicine, Saint Louis, MO, United States
| | - Jamal J. Derakhshan
- Department of Radiology, Washington University in St. Louis School of Medicine, Saint Louis, MO, United States
| | - Jin-Moo Lee
- Department of Neurology, Washington University in St. Louis School of Medicine, Saint Louis, MO, United States
| | - Rajat Dhar
- Department of Neurology, Washington University in St. Louis School of Medicine, Saint Louis, MO, United States,*Correspondence: Rajat Dhar
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van Horn N, Broocks G, Kabiri R, Kraemer MC, Christensen S, Mlynash M, Meyer L, Lansberg MG, Albers GW, Sporns P, Guenego A, Fiehler J, Wintermark M, Heit JJ, Faizy TD. Cerebral Hypoperfusion Intensity Ratio Is Linked to Progressive Early Edema Formation. J Clin Med 2022; 11:jcm11092373. [PMID: 35566500 PMCID: PMC9105689 DOI: 10.3390/jcm11092373] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2022] [Revised: 04/09/2022] [Accepted: 04/16/2022] [Indexed: 11/16/2022] Open
Abstract
The hypoperfusion intensity ratio (HIR) is associated with collateral status and reflects the impaired microperfusion of brain tissue in patients with acute ischemic stroke and large vessel occlusion (AIS-LVO). As a deterioration in cerebral blood flow is associated with brain edema, we aimed to investigate whether HIR is correlated with the early edema progression rate (EPR) determined by the ischemic net water uptake (NWU) in a multicenter retrospective analysis of AIS-LVO patients anticipated for thrombectomy treatment. HIR was automatically calculated as the ratio of time-to-maximum (TMax) > 10 s/(TMax) > 6 s. HIRs < 0.4 were regarded as favorable (HIR+) and ≥0.4 as unfavorable (HIR−). Quantitative ischemic lesion NWU was delineated on baseline NCCT images and EPR was calculated as the ratio of NWU/time from symptom onset to imaging. Multivariable regression analysis was used to assess the association of HIR with EPR. This study included 731 patients. HIR+ patients exhibited a reduced median NWU upon admission CT (4% (IQR: 2.1−7.6) versus 8.2% (6−10.4); p < 0.001) and less median EPR (0.016%/h (IQR: 0.007−0.04) versus 0.044%/h (IQR: 0.021−0.089; p < 0.001) compared to HIR− patients. Multivariable regression showed that HIR+ (β: 0.53, SE: 0.02; p = 0.003) and presentation of the National Institutes of Health Stroke Scale (β: 0.2, SE: 0.0006; p = 0.001) were independently associated with EPR. In conclusion, favorable HIR was associated with lower early edema progression and decreased ischemic edema formation on baseline NCCT.
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Affiliation(s)
- Noel van Horn
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany; (N.v.H.); (G.B.); (R.K.); (M.C.K.); (L.M.); (J.F.)
| | - Gabriel Broocks
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany; (N.v.H.); (G.B.); (R.K.); (M.C.K.); (L.M.); (J.F.)
| | - Reza Kabiri
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany; (N.v.H.); (G.B.); (R.K.); (M.C.K.); (L.M.); (J.F.)
| | - Michel C. Kraemer
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany; (N.v.H.); (G.B.); (R.K.); (M.C.K.); (L.M.); (J.F.)
| | - Soren Christensen
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA; (S.C.); (M.M.); (M.G.L.); (G.W.A.)
| | - Michael Mlynash
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA; (S.C.); (M.M.); (M.G.L.); (G.W.A.)
| | - Lukas Meyer
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany; (N.v.H.); (G.B.); (R.K.); (M.C.K.); (L.M.); (J.F.)
| | - Maarten G. Lansberg
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA; (S.C.); (M.M.); (M.G.L.); (G.W.A.)
| | - Gregory W. Albers
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA; (S.C.); (M.M.); (M.G.L.); (G.W.A.)
| | - Peter Sporns
- Department of Diagnostic and Interventional Neuroradiology, University Hospital Basel, 4031 Basel, Switzerland;
| | - Adrien Guenego
- Department of Interventional Neuroradiology, Erasme University Hospital, 1070 Brussels, Belgium;
| | - Jens Fiehler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany; (N.v.H.); (G.B.); (R.K.); (M.C.K.); (L.M.); (J.F.)
| | - Max Wintermark
- Department of Radiology, Stanford University School of Medicine, Stanford, CA 94305, USA; (M.W.); (J.J.H.)
| | - Jeremy J. Heit
- Department of Radiology, Stanford University School of Medicine, Stanford, CA 94305, USA; (M.W.); (J.J.H.)
| | - Tobias D. Faizy
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany; (N.v.H.); (G.B.); (R.K.); (M.C.K.); (L.M.); (J.F.)
- Correspondence: ; Tel.: +49-0-152-2283-5161
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Ng FC, Yassi N, Sharma G, Brown SB, Goyal M, Majoie CBLM, Jovin TG, Hill MD, Muir KW, Saver JL, Guillemin F, Demchuk AM, Menon BK, San Roman L, White P, van der Lugt A, Ribo M, Bracard S, Mitchell PJ, Davis SM, Sheth KN, Kimberly WT, Campbell BCV. Correlation Between Computed Tomography-Based Tissue Net Water Uptake and Volumetric Measures of Cerebral Edema After Reperfusion Therapy. Stroke 2022; 53:2628-2636. [PMID: 35450438 DOI: 10.1161/strokeaha.121.037073] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Cerebral edema after large hemispheric infarction is associated with poor functional outcome and mortality. Net water uptake (NWU) quantifies the degree of hypoattenuation on unenhanced-computed tomography (CT) and is increasingly used to measure cerebral edema in stroke research. Hemorrhagic transformation and parenchymal contrast staining after thrombectomy may confound NWU measurements. We investigated the correlation of NWU measured postthrombectomy with volumetric markers of cerebral edema and association with functional outcomes. METHODS In a pooled individual patient level analysis of patients presenting with anterior circulation large hemispheric infarction (core 80-300 mL or Alberta Stroke Program Early CT Score ≤5) in the HERMES (Highly Effective Reperfusion Evaluated in Multiple Endovascular Stroke trials) data set, cerebral edema was defined as the volumetric expansion of the ischemic hemisphere expressed as a ratio to the contralateral hemisphere(rHV). NWU and midline-shift were compared with rHV as the reference standard on 24-hour follow-up CT, adjusted for hemorrhagic transformation and the use of thrombectomy. Association between edema markers and day 90 functional outcomes (modified Rankin Scale) was assessed using ordinal logistic regression. RESULTS Overall (n=144), there was no correlation between NWU and rHV (rs=0.055, P=0.51). In sub-group analyses, a weak correlation between NWU with rHV was observed after excluding patients with any degree of hemorrhagic transformation (rs=0.211, P=0.015), which further improved after excluding thrombectomy patients (rs=0.453, P=0.001). Midline-shift correlated strongly with rHV in all sub-group analyses (rs>0.753, P=0.001). Functional outcome at 90 days was negatively associated with rHV (adjusted common odds ratio, 0.46 [95% CI, 0.32-0.65]; P<0.001) and midline-shift (adjusted common odds ratio, 0.85 [95% CI, 0.78-0.92]; P<0.001) but not NWU (adjusted common odds ratio, 1.00 [95% CI, 0.97-1.03]; P=0.84), adjusted for age, baseline National Institutes of Health Stroke Scale, and thrombectomy. Prognostic performance of NWU improved after excluding patients with hemorrhagic transformation and thrombectomy (adjusted odds ratio, 0.90 [95% CI, 0.80-1.02]; P=0.10). CONCLUSIONS NWU correlated poorly with conventional markers of cerebral edema and was not associated with clinical outcome in the presence of hemorrhagic transformation and thrombectomy. Measuring NWU postthrombectomy requires validation before implementation into clinical research. At present, the use of NWU should be limited to baseline CT, or follow-up CT only in patients without hemorrhagic transformation or treatment with thrombectomy.
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Affiliation(s)
- Felix C Ng
- Melbourne Brain Centre, Royal Melbourne Hospital, University of Melbourne, Parkville, Australia (F.C.N., N.Y., G.S., S.M.D., B.C.V.C.).,Austin Health, Heidelberg, Australia (F.C.N.)
| | - Nawaf Yassi
- Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Australia (N.Y.)
| | - Gagan Sharma
- Melbourne Brain Centre, Royal Melbourne Hospital, University of Melbourne, Parkville, Australia (F.C.N., N.Y., G.S., S.M.D., B.C.V.C.)
| | | | - Mayank Goyal
- Department of Radiology, University of Calgary, Foothills Hospital, AB, Canada (M.G.)
| | - Charles B L M Majoie
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, location AMC, the Netherlands (C.B.L.M.M.)
| | - Tudor G Jovin
- Cooper Neurological Institute, Cooper University Health Care, Camden, NJ (T.G.J.)
| | - Michael D Hill
- Department of Clinical Neurosciences, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Foothills Hospital, AB, Canada (M.D.H., A.M.D., B.K.M.)
| | - Keith W Muir
- Institute of Neuroscience & Psychology, University of Glasgow, Queen Elizabeth University Hospital, United Kingdom (K.W.M.)
| | - Jeffrey L Saver
- Department of Neurology and Comprehensive Stroke Center, David Geffen School of Medicine at the University of California, Los Angeles, California Stanford Stroke Center, Stanford University (J.L.S.)
| | - Francis Guillemin
- Clinical Investigation Centre-Clinical Epidemiology INSERM 1433, University of Lorraine and University Hospital of Nancy, France (F.G.)
| | - Andrew M Demchuk
- Department of Clinical Neurosciences, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Foothills Hospital, AB, Canada (M.D.H., A.M.D., B.K.M.)
| | - Bijoy K Menon
- Department of Clinical Neurosciences, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Foothills Hospital, AB, Canada (M.D.H., A.M.D., B.K.M.)
| | - Luis San Roman
- Department of Radiology, Hospital Clínic, Barcelona, Spain (L.S.R.)
| | - Philip White
- Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, United Kingdom (P.W.)
| | - Aad van der Lugt
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands (A.v.d.L.)
| | - Marc Ribo
- Department of Neurology, Hospital Vall d'Hebron, Barcelona, Spain (M.R.)
| | - Serge Bracard
- Department of Diagnostic and Interventional Neuroradiology, Université de Lorraine, Inserm, IADI, CHRU Nancy, France (S.B.)
| | - Peter J Mitchell
- Department of Radiology, Royal Melbourne Hospital, University of Melbourne, Parkville, Australia (P.J.M.)
| | - Stephen M Davis
- Melbourne Brain Centre, Royal Melbourne Hospital, University of Melbourne, Parkville, Australia (F.C.N., N.Y., G.S., S.M.D., B.C.V.C.)
| | - Kevin N Sheth
- Department of Neurology, Yale New Haven Hospital, CT (K.N.S.)
| | - W Taylor Kimberly
- Center for Genomic Medicine and Department of Neurology, Massachusetts General Hospital, Boston (W.T.K.)
| | - Bruce C V Campbell
- Melbourne Brain Centre, Royal Melbourne Hospital, University of Melbourne, Parkville, Australia (F.C.N., N.Y., G.S., S.M.D., B.C.V.C.)
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Han Q, Yang J, Gao X, Li J, Wu Y, Xu Y, Shang Q, Parsons MW, Lin L. Early Edema Within the Ischemic Core Is Time-Dependent and Associated With Functional Outcomes of Acute Ischemic Stroke Patients. Front Neurol 2022; 13:861289. [PMID: 35463133 PMCID: PMC9021998 DOI: 10.3389/fneur.2022.861289] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Accepted: 03/08/2022] [Indexed: 11/13/2022] Open
Abstract
ObjectiveTo investigate the difference in early edema, quantified by net water uptake (NWU) based on computed tomography (CT) between ischemic core and penumbra and to explore predictors of NWU and test its predictive power for clinical outcome.MethodsRetrospective analysis was conducted on patients admitted to Ningbo First Hospital with anterior circulation stroke and multi-modal CT. In 154 included patients, NWU of the ischemic core and penumbra were calculated and compared by Mann–Whitney U test. Correlations between NWU and variables including age, infarct time (time from symptom onset to imaging), volume of ischemic core, collateral status, and National Institutes of Health Stroke Scale (NIHSS) scores were investigated by Spearman's correlation analyses. Clinical outcome was defined using the modified Rankin Scale (mRS) at 90 days. Logistic regression and receiver operating characteristic analyses were performed to test the predictive value of NWU. Summary statistics are presented as median (interquartile range), mean (standard deviation) or estimates (95% confidence interval).ResultsThe NWU within the ischemic core [6.1% (2.9–9.2%)] was significantly higher than that of the penumbra [1.8% (−0.8–4.0%)]. The only significant predictor of NWU within the ischemic core was infarct time (p = 0.004). The NWU within the ischemic core [odds ratio = 1.23 (1.10–1.39)], the volume of ischemic core [1.04, (1.02–1.06)], age [1.09 (1.01–1.17)], and admission NHISS score [1.05 (1.01–1.09)] were associated with the outcome of patients adjusted for sex and treatment. The predictive power for the outcome of the model was significantly higher when NWU was included (area under the curve 0.875 vs. 0.813, p < 0.05 by Delong test).ConclusionsEarly edema quantified by NWU is relatively limited in the ischemic core and develops in a time-dependent manner. NWU estimates within the ischemic core may help to predict clinical outcomes of patients with acute ischemic stroke.
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Affiliation(s)
- Qing Han
- Department of Neurology, Ningbo First Hospital, Ningbo, China
| | - Jianhong Yang
- Department of Neurology, Ningbo First Hospital, Ningbo, China
| | - Xiang Gao
- Department of Neurosurgery, Ningbo First Hospital, Ningbo, China
| | - Jichuan Li
- Department of Neurology, Ningbo First Hospital, Ningbo, China
| | - Yuefei Wu
- Department of Neurology, Ningbo First Hospital, Ningbo, China
| | - Yao Xu
- Department of Neurology, Ningbo First Hospital, Ningbo, China
| | - Qing Shang
- Department of Neurology, Ningbo First Hospital, Ningbo, China
| | - Mark W. Parsons
- Sydney Brain Center, University of New South Wales, Sydney, NSW, Australia
- Mark W. Parsons
| | - Longting Lin
- Department of Neurology, Ningbo First Hospital, Ningbo, China
- Sydney Brain Center, University of New South Wales, Sydney, NSW, Australia
- *Correspondence: Longting Lin
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38
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Broocks G, Meyer L, Ruppert C, Haupt W, Faizy TD, Van Horn N, Bechstein M, Kniep H, Elsayed S, Kemmling A, Barow E, Fiehler J, Hanning U. Effect of Intravenous Alteplase on Functional Outcome and Secondary Injury Volumes in Stroke Patients with Complete Endovascular Recanalization. J Clin Med 2022; 11:jcm11061565. [PMID: 35329891 PMCID: PMC8949925 DOI: 10.3390/jcm11061565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 03/04/2022] [Accepted: 03/08/2022] [Indexed: 11/22/2022] Open
Abstract
Intravenous thrombolytic therapy with alteplase (IVT) is a standard of care in ischemic stroke, while recent trials investigating direct endovascular thrombectomy (EVT) approaches showed conflicting results. Yet, the effect of IVT on secondary injury volumes in patients with complete recanalization has not been analyzed. We hypothesized that IVT is associated with worse functional outcome and aggravated secondary injury volumes when administered to patients who subsequently attained complete reperfusion after EVT. Anterior circulation ischemic stroke patients with complete reperfusion after thrombectomy defined as thrombolysis in cerebral infarctions (TICI) scale 3 after thrombectomy admitted between January 2013–January 2021 were analyzed. Primary endpoints were the proportion of patients with functional independence defined as modified Rankin Scale (mRS) score 0–2 at day 90, and secondary injury volumes: Edema volume in follow-up imaging measured using quantitative net water uptake (NWU), and the rate of symptomatic intracerebral hemorrhage (sICH). A total of 219 patients were included and 128 (58%) patients received bridging IVT before thrombectomy. The proportion of patients with functional independence was 28% for patients with bridging IVT, and 34% for patients with direct thrombectomy (p = 0.35). The rate of sICH was significantly higher after bridging IVT (20% versus 7.7%, p = 0.01). Multivariable logistic and linear regression analysis confirmed the independent association of bridging IVT with sICH (aOR: 2.78, 95% CI: 1.02–7.56, p = 0.046), and edema volume (aOR: 8.70, 95% CI: 2.57–14.85, p = 0.006). Bridging IVT was associated with increased edema volume and risk for sICH as secondary injury volumes. The results of this study encourage direct EVT approaches, particularly in patients with higher likelihood of successful EVT.
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Affiliation(s)
- Gabriel Broocks
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany; (L.M.); (C.R.); (W.H.); (T.D.F.); (N.V.H.); (M.B.); (H.K.); (S.E.); (J.F.); (U.H.)
- Correspondence:
| | - Lukas Meyer
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany; (L.M.); (C.R.); (W.H.); (T.D.F.); (N.V.H.); (M.B.); (H.K.); (S.E.); (J.F.); (U.H.)
| | - Celine Ruppert
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany; (L.M.); (C.R.); (W.H.); (T.D.F.); (N.V.H.); (M.B.); (H.K.); (S.E.); (J.F.); (U.H.)
| | - Wolfgang Haupt
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany; (L.M.); (C.R.); (W.H.); (T.D.F.); (N.V.H.); (M.B.); (H.K.); (S.E.); (J.F.); (U.H.)
| | - Tobias D. Faizy
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany; (L.M.); (C.R.); (W.H.); (T.D.F.); (N.V.H.); (M.B.); (H.K.); (S.E.); (J.F.); (U.H.)
| | - Noel Van Horn
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany; (L.M.); (C.R.); (W.H.); (T.D.F.); (N.V.H.); (M.B.); (H.K.); (S.E.); (J.F.); (U.H.)
| | - Matthias Bechstein
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany; (L.M.); (C.R.); (W.H.); (T.D.F.); (N.V.H.); (M.B.); (H.K.); (S.E.); (J.F.); (U.H.)
| | - Helge Kniep
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany; (L.M.); (C.R.); (W.H.); (T.D.F.); (N.V.H.); (M.B.); (H.K.); (S.E.); (J.F.); (U.H.)
| | - Sarah Elsayed
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany; (L.M.); (C.R.); (W.H.); (T.D.F.); (N.V.H.); (M.B.); (H.K.); (S.E.); (J.F.); (U.H.)
| | - Andre Kemmling
- Department of Neuroradiology, Philipps-University Marburg, 35037 Marburg, Germany;
- Department of Neuroradiology, University Medical Center Schleswig-Holstein, Campus Lübeck, 23538 Lübeck, Germany
| | - Ewgenia Barow
- Department of Neurology, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany;
| | - Jens Fiehler
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany; (L.M.); (C.R.); (W.H.); (T.D.F.); (N.V.H.); (M.B.); (H.K.); (S.E.); (J.F.); (U.H.)
| | - Uta Hanning
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany; (L.M.); (C.R.); (W.H.); (T.D.F.); (N.V.H.); (M.B.); (H.K.); (S.E.); (J.F.); (U.H.)
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39
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Review of net water uptake in the management of acute ischemic stroke. Eur Radiol 2022; 32:5517-5524. [DOI: 10.1007/s00330-022-08658-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 01/24/2022] [Accepted: 02/12/2022] [Indexed: 12/15/2022]
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Ng FC, Churilov L, Yassi N, Kleinig TJ, Thijs V, Wu TY, Shah DG, Dewey HM, Sharma G, Desmond PM, Yan B, Parsons MW, Donnan GA, Davis SM, Mitchell PJ, Leigh R, Campbell BCV. Reduced Severity of Tissue Injury Within the Infarct May Partially Mediate the Benefit of Reperfusion in Ischemic Stroke. Stroke 2022; 53:1915-1923. [PMID: 35135319 DOI: 10.1161/strokeaha.121.036670] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Emerging data suggest tissue within the infarct lesion is not homogenously damaged following ischemic stroke but has a gradient of injury. Using blood-brain-barrier (BBB) disruption as a marker of tissue injury, we tested whether therapeutic reperfusion improves clinical outcome by reducing the severity of tissue injury within the infarct in patients with ischemic stroke. METHODS In a pooled analysis of patients treated for anterior circulation large vessel occlusion in the EXTEND-IA TNK (Tenecteplase Versus Alteplase Before Endovascular Therapy for Ischemic Stroke) and EXTEND-IA part-2 (Determining the Optimal Dose of Tenecteplase Before Endovascular Therapy for Ischaemic Stroke) trials, post-treatment BBB permeability at 24 hours was calculated based on the extent of T1-brightening by extravascular gadolinium on T2* perfusion-weighted imaging and measured within the diffusion-weighted-imaging lesion. First, to determine the clinical significance of BBB disruption as a marker of severity of tissue injury, we examined the association between post-treatment BBB permeability and functional outcome. Second, we performed an exploratory (reperfusion, BBB permeability, functional outcome) mediation analysis to estimate the proportion of the reperfusion-outcome relationship that is mediated by change in BBB permeability. RESULTS In the 238 patients analyzed, an increased BBB permeability measured within the infarct at 24 hours was associated with a reduced likelihood of favorable outcome (90-day modified Rankin Scale score of ≤2) after adjusting for age, baseline National Institutes of Health Stroke Scale, premorbid modified Rankin Scale, infarct topography, laterality, thrombolytic agent, sex, parenchymal hematoma, and follow-up infarct volume (adjusted odds ratio, 0.86 [95% CI, 0.75-0.98], P=0.023). Mediation analysis suggested reducing the severity of tissue injury (as estimated by BBB permeability) accounts for 18.2% of the association between reperfusion and favorable outcome, as indicated by a reduction in the regression coefficient of reperfusion after addition of BBB permeability as a covariate. CONCLUSIONS In patients with ischemic stroke, reduced severity of tissue injury within the infarct, as determined by assessing the integrity of the BBB, is independently associated with improved functional outcome. In addition to reducing diffusion-weighted imaging-defined infarct volume, reperfusion may also improve clinical outcome by reducing tissue injury severity within the infarct.
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Affiliation(s)
- Felix C Ng
- Department of Medicine and Neurology, Melbourne Brain Centre at the Royal Melbourne Hospital, University of Melbourne, Parkville, Australia. (F.C.N., L.C., N.Y., G.S., B.Y., M.W.P., G.A.S., S.M.D., B.C.V.C.).,Department of Neurology, Austin Hospital, Austin Health, Heidelberg, Australia (F.C.N., V.T.)
| | - Leonid Churilov
- Department of Medicine and Neurology, Melbourne Brain Centre at the Royal Melbourne Hospital, University of Melbourne, Parkville, Australia. (F.C.N., L.C., N.Y., G.S., B.Y., M.W.P., G.A.S., S.M.D., B.C.V.C.).,The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, Australia. (L.C., V.T., B.C.V.C.).,Melbourne Medical School, The University of Melbourne, Heidelberg, Victoria, Australia (L.C.)
| | - Nawaf Yassi
- Department of Medicine and Neurology, Melbourne Brain Centre at the Royal Melbourne Hospital, University of Melbourne, Parkville, Australia. (F.C.N., L.C., N.Y., G.S., B.Y., M.W.P., G.A.S., S.M.D., B.C.V.C.).,Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Australia (N.Y.)
| | - Timothy J Kleinig
- Department of Neurology, Royal Adelaide Hospital, Australia (T.J.K.)
| | - Vincent Thijs
- The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, Australia. (L.C., V.T., B.C.V.C.).,Department of Neurology, Austin Hospital, Austin Health, Heidelberg, Australia (F.C.N., V.T.)
| | - Teddy Y Wu
- Department of Neurology, Christchurch Hospital, New Zealand (T.Y.W.)
| | - Darshan G Shah
- Department of Neurology, Princess Alexandra Hospital, Brisbane, Australia (D.G.S.)
| | - Helen M Dewey
- Eastern Health and Eastern Health Clinical School, Department of Neurosciences, Monash University, Clayton, Australia (H.M.D.)
| | - Gagan Sharma
- Department of Medicine and Neurology, Melbourne Brain Centre at the Royal Melbourne Hospital, University of Melbourne, Parkville, Australia. (F.C.N., L.C., N.Y., G.S., B.Y., M.W.P., G.A.S., S.M.D., B.C.V.C.)
| | - Patricia M Desmond
- Department of Radiology, Royal Melbourne Hospital, University of Melbourne, Parkville, Australia. (P.M.D., B.Y., P.J.M.)
| | - Bernard Yan
- Department of Medicine and Neurology, Melbourne Brain Centre at the Royal Melbourne Hospital, University of Melbourne, Parkville, Australia. (F.C.N., L.C., N.Y., G.S., B.Y., M.W.P., G.A.S., S.M.D., B.C.V.C.).,Department of Radiology, Royal Melbourne Hospital, University of Melbourne, Parkville, Australia. (P.M.D., B.Y., P.J.M.)
| | - Mark W Parsons
- Department of Medicine and Neurology, Melbourne Brain Centre at the Royal Melbourne Hospital, University of Melbourne, Parkville, Australia. (F.C.N., L.C., N.Y., G.S., B.Y., M.W.P., G.A.S., S.M.D., B.C.V.C.)
| | - Geoffrey A Donnan
- Department of Medicine and Neurology, Melbourne Brain Centre at the Royal Melbourne Hospital, University of Melbourne, Parkville, Australia. (F.C.N., L.C., N.Y., G.S., B.Y., M.W.P., G.A.S., S.M.D., B.C.V.C.)
| | - Stephen M Davis
- Department of Medicine and Neurology, Melbourne Brain Centre at the Royal Melbourne Hospital, University of Melbourne, Parkville, Australia. (F.C.N., L.C., N.Y., G.S., B.Y., M.W.P., G.A.S., S.M.D., B.C.V.C.)
| | - Peter J Mitchell
- Department of Radiology, Royal Melbourne Hospital, University of Melbourne, Parkville, Australia. (P.M.D., B.Y., P.J.M.)
| | - Richard Leigh
- Department of Neurology, John Hopkins University, Baltimore, MD (R.L.)
| | - Bruce C V Campbell
- Department of Medicine and Neurology, Melbourne Brain Centre at the Royal Melbourne Hospital, University of Melbourne, Parkville, Australia. (F.C.N., L.C., N.Y., G.S., B.Y., M.W.P., G.A.S., S.M.D., B.C.V.C.).,The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, Australia. (L.C., V.T., B.C.V.C.)
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Broocks G, Meyer L, McDonough R, Bechstein M, Hanning U, Fiehler J, Kemmling A. The Benefit of Thrombectomy in Patients With Low ASPECTS Is a Matter of Shades of Gray—What Current Trials May Have Missed. Front Neurol 2022; 12:718046. [PMID: 35095708 PMCID: PMC8795604 DOI: 10.3389/fneur.2021.718046] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Accepted: 12/06/2021] [Indexed: 11/13/2022] Open
Abstract
Randomized trials supporting the benefit of endovascular treatment in acute ischemic stroke patients with a large early infarction are not yet available. Few retrospective studies exist that suggest a potential positive treatment effect on functional outcome, as well as procedural safety. However, potential benefit or harm of MT in patients with low initial ASPECTS is still a subject of current debate, and in particular, how to select these patients for treatment. The purpose of this pilot study was to evaluate how early tissue water uptake in acute ischemic brain might determine lesion fate and functional outcome in low ASPECTS patients undergoing MT. We observed that the degree of early water uptake measured by quantitative NWU was significantly associated with functional outcome in low ASPECTS patients, yielding a higher diagnostic power compared to other parameters such as ASPECTS, age, or NIHSS. No conclusive evidence of a beneficial effect of successful reperfusion was observed in patients with low ASPECTS and high NWU, which highlights the potential of NWU as a tool to specify patient selection.
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Affiliation(s)
- Gabriel Broocks
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- *Correspondence: Gabriel Broocks
| | - Lukas Meyer
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Rosalie McDonough
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Matthias Bechstein
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Uta Hanning
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jens Fiehler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Andre Kemmling
- Department of Neuroradiology, University Hospital Schleswig-Holstein, Lübeck, Germany
- Department of Neuroradiology, University of Marburg, Marburg, Germany
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42
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Zhang X, Huang P, Zhang R. Evaluation and Prediction of Post-stroke Cerebral Edema Based on Neuroimaging. Front Neurol 2022; 12:763018. [PMID: 35087464 PMCID: PMC8786707 DOI: 10.3389/fneur.2021.763018] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Accepted: 12/06/2021] [Indexed: 11/13/2022] Open
Abstract
Cerebral edema is a common complication of acute ischemic stroke that leads to poorer functional outcomes and substantially increases the mortality rate. Given that its negative effects can be reduced by more intensive monitoring and evidence-based interventions, the early identification of patients with a high risk of severe edema is crucial. Neuroimaging is essential for the assessment and prediction of edema. Simple markers, such as midline shift and hypodensity volume on computed tomography, have been used to evaluate edema in clinical trials; however, advanced techniques can be applied to examine the underlying mechanisms. In this study, we aimed to review current imaging tools in the assessment and prediction of cerebral edema to provide guidance for using these methods in clinical practice.
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Affiliation(s)
| | | | - Ruiting Zhang
- Department of Radiology, School of Medicine, The Second Affiliated Hospital of Zhejiang University, Hangzhou, China
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van Horn N, Heit JJ, Kabiri R, Broocks G, Christensen S, Mlynash M, Meyer L, Schoenfeld MH, Lansberg MG, Albers GW, Fiehler J, Wintermark M, Faizy TD. Venous outflow profiles are associated with early edema progression in ischemic stroke. Int J Stroke 2022; 17:1078-1084. [PMID: 34983276 DOI: 10.1177/17474930211065635] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
BACKGROUND In patients with acute ischemic stroke due to large vessel occlusion (AIS-LVO), development of extensive early ischemic brain edema is associated with poor functional outcomes, despite timely treatment. Robust cortical venous outflow (VO) profiles correlate with favorable tissue perfusion. We hypothesized that favorable VO profiles (VO+) correlate with a reduced early edema progression rate (EPR) and good functional outcomes. METHODS Multicenter, retrospective analysis to investigate AIS-LVO patients treated by mechanical thrombectomy between May 2013 and December 2020. Baseline computed tomography angiography (CTA) was used to determine VO using the cortical vein opacification score (COVES); VO+ was defined as COVES ⩾ 3 and unfavorable as COVES ⩽ 2. EPR was determined as the ratio of net water uptake (NWU) on baseline non-contrast CT and time from symptom onset to admission imaging. Multivariable regression analysis was performed to assess primary (EPR) and secondary outcome (good functional outcomes defined as 0-2 points on the modified Rankin scale). RESULTS A total of 728 patients were included. Primary outcome analysis showed VO+ (β: -0.03, SE: 0.009, p = 0.002), lower presentation National Institutes of Health Stroke Scale (NIHSS; β: 0.002, SE: 0.001, p = 0.002), and decreased time from onset to admission imaging (β: -0.00002, SE: 0.00004, p < 0.001) were independently associated with reduced EPR. VO+ also predicted good functional outcomes (odds ratio (OR): 5.07, 95% CI: 2.839-9.039, p < 0.001), while controlling for presentation NIHSS, time from onset to imaging, general vessel reperfusion, baseline Alberta Stroke Program Early CT Score, infarct core volume, EPR, and favorable arterial collaterals. CONCLUSIONS Favorable VO profiles were associated with slower infarct edema progression and good long-term functional outcomes as well as better neurological status and ischemic brain alterations at admission.
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Affiliation(s)
- Noel van Horn
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jeremy J Heit
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Reza Kabiri
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Gabriel Broocks
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Soren Christensen
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Michael Mlynash
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Lukas Meyer
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | | | - Maarten G Lansberg
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Gregory W Albers
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Jens Fiehler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Max Wintermark
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Tobias D Faizy
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.,Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
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Ng FC, Churilov L, Yassi N, Kleinig TJ, Thijs V, Wu TY, Shah DG, Dewey HM, Sharma G, Desmond PM, Yan B, Parsons MW, Donnan GA, Davis SM, Mitchell PJ, Leigh R, Campbell BCV. Microvascular Dysfunction in Blood-Brain Barrier Disruption and Hypoperfusion Within the Infarct Posttreatment Are Associated With Cerebral Edema. Stroke 2021; 53:1597-1605. [PMID: 34937423 DOI: 10.1161/strokeaha.121.036104] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE Factors contributing to cerebral edema in the post-hyperacute period of ischemic stroke (first 24-72 hours) are poorly understood. Blood-brain barrier (BBB) disruption and postischemic hyperperfusion reflect microvascular dysfunction and are associated with hemorrhagic transformation. We investigated the relationships between BBB integrity, cerebral blood flow, and space-occupying cerebral edema in patients who received acute reperfusion therapy. METHODS We performed a pooled analysis of patients treated for anterior circulation large vessel occlusion in the EXTEND-IA TNK and EXTEND-IA TNK part 2 trials who had MRI with dynamic susceptibility contrast-enhanced perfusion-weighted imaging 24 hours after treatment. We investigated the associations between BBB disruption and cerebral blood flow within the infarct with cerebral edema assessed using 2 metrics: first midline shift (MLS) trichotomized as an ordinal scale of negligible (<1 mm), mild (≥1 to <5 mm), or severe (≥5 mm), and second relative hemispheric volume (rHV), defined as the ratio of the 3-dimensional volume of the ischemic hemisphere relative to the contralateral hemisphere. RESULTS Of 238 patients analyzed, 133 (55.9%) had negligible, 93 (39.1%) mild, and 12 (5.0%) severe MLS at 24 hours. The associated median rHV was 1.01 (IQR, 1.00-1.028), 1.03 (IQR, 1.01-1.077), and 1.15 (IQR, 1.08-1.22), respectively. MLS and rHV were associated with poor functional outcome at 90 days (P<0.002). Increased BBB permeability was independently associated with more edema after adjusting for age, occlusion location, reperfusion, parenchymal hematoma, and thrombolytic agent used (MLS cOR, 1.12 [95% CI, 1.03-1.20], P=0.005; rHV β, 0.39 [95% CI, 0.24-0.55], P<0.0001), as was reduced cerebral blood flow (MLS cOR, 0.25 [95% CI, 0.10-0.58], P=0.001; rHV β, -2.95 [95% CI, -4.61 to -11.29], P=0.0006). In subgroup analysis of patients with successful reperfusion (extended Treatment in Cerebral Ischemia 2b-3, n=200), reduced cerebral blood flow remained significantly associated with edema (MLS cOR, 0.37 [95% CI, 0.14-0.98], P=0.045; rHV β, -2.59 [95% CI, -4.32 to -0.86], P=0.004). CONCLUSIONS BBB disruption and persistent hypoperfusion in the infarct after reperfusion treatment is associated with space-occupying cerebral edema. Further studies evaluating microvascular dysfunction during the post-hyperacute period as biomarkers of poststroke edema and potential therapeutic targets are warranted.
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Affiliation(s)
- Felix C Ng
- Department of Medicine and Neurology, Melbourne Brain Centre at the Royal Melbourne Hospital, University of Melbourne, Parkville, Australia (F.C.N., L.C., N.Y., G.S., B.Y., M.W.P., G.A.D., S.M.D., B.C.V.C.).,The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, Australia (F.C.N., V.T.)
| | - Leonid Churilov
- Department of Medicine and Neurology, Melbourne Brain Centre at the Royal Melbourne Hospital, University of Melbourne, Parkville, Australia (F.C.N., L.C., N.Y., G.S., B.Y., M.W.P., G.A.D., S.M.D., B.C.V.C.).,Department of Neurology, Austin Hospital, Austin Health, Heidelberg, Australia (L.C., V.T., B.C.V.C.).,Melbourne Medical School, The University of Melbourne, Heidelberg, Australia (L.C.)
| | - Nawaf Yassi
- Department of Medicine and Neurology, Melbourne Brain Centre at the Royal Melbourne Hospital, University of Melbourne, Parkville, Australia (F.C.N., L.C., N.Y., G.S., B.Y., M.W.P., G.A.D., S.M.D., B.C.V.C.).,Population Health and Immunity Division. The Walter and Eliza Hall Institute of Medical Research. Parkville, Australia (N.Y.)
| | - Timothy J Kleinig
- Department of Neurology, Royal Adelaide Hospital, Australia (T.J.K.)
| | - Vincent Thijs
- The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, Australia (F.C.N., V.T.).,Department of Neurology, Austin Hospital, Austin Health, Heidelberg, Australia (L.C., V.T., B.C.V.C.)
| | - Teddy Y Wu
- Department of Neurology, Christchurch Hospital, New Zealand (T.Y.W.)
| | - Darshan G Shah
- Department of Neurology, Princess Alexandra Hospital, Brisbane, Australia (D.G.S.)
| | - Helen M Dewey
- Eastern Health and Eastern Health Clinical School, Department of Neurosciences, Monash University, Clayton, Australia (H.M.D.)
| | - Gargan Sharma
- Department of Medicine and Neurology, Melbourne Brain Centre at the Royal Melbourne Hospital, University of Melbourne, Parkville, Australia (F.C.N., L.C., N.Y., G.S., B.Y., M.W.P., G.A.D., S.M.D., B.C.V.C.)
| | - Patricia M Desmond
- Department of Radiology, Royal Melbourne Hospital, University of Melbourne, Parkville, Australia (P.M.D., B.Y., P.J.M.)
| | - Bernard Yan
- Department of Medicine and Neurology, Melbourne Brain Centre at the Royal Melbourne Hospital, University of Melbourne, Parkville, Australia (F.C.N., L.C., N.Y., G.S., B.Y., M.W.P., G.A.D., S.M.D., B.C.V.C.).,Department of Radiology, Royal Melbourne Hospital, University of Melbourne, Parkville, Australia (P.M.D., B.Y., P.J.M.)
| | - Mark W Parsons
- Department of Medicine and Neurology, Melbourne Brain Centre at the Royal Melbourne Hospital, University of Melbourne, Parkville, Australia (F.C.N., L.C., N.Y., G.S., B.Y., M.W.P., G.A.D., S.M.D., B.C.V.C.)
| | - Geoffrey A Donnan
- Department of Medicine and Neurology, Melbourne Brain Centre at the Royal Melbourne Hospital, University of Melbourne, Parkville, Australia (F.C.N., L.C., N.Y., G.S., B.Y., M.W.P., G.A.D., S.M.D., B.C.V.C.)
| | - Stephen M Davis
- Department of Medicine and Neurology, Melbourne Brain Centre at the Royal Melbourne Hospital, University of Melbourne, Parkville, Australia (F.C.N., L.C., N.Y., G.S., B.Y., M.W.P., G.A.D., S.M.D., B.C.V.C.)
| | - Peter J Mitchell
- Department of Radiology, Royal Melbourne Hospital, University of Melbourne, Parkville, Australia (P.M.D., B.Y., P.J.M.)
| | - Richard Leigh
- Department of Neurology, John Hopkins University, Baltimore, MD (R.L.)
| | - Bruce C V Campbell
- Department of Medicine and Neurology, Melbourne Brain Centre at the Royal Melbourne Hospital, University of Melbourne, Parkville, Australia (F.C.N., L.C., N.Y., G.S., B.Y., M.W.P., G.A.D., S.M.D., B.C.V.C.).,Department of Neurology, Austin Hospital, Austin Health, Heidelberg, Australia (L.C., V.T., B.C.V.C.)
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Variability assessment of manual segmentations of ischemic lesion volume on 24-h non-contrast CT. Neuroradiology 2021; 64:1165-1173. [PMID: 34812917 DOI: 10.1007/s00234-021-02855-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Accepted: 11/04/2021] [Indexed: 11/27/2022]
Abstract
PURPOSE Infarct lesion volume (ILV) may serve as an imaging biomarker for clinical outcomes in the early post-treatment stage in patients with acute ischemic stroke. The aim of this study was to evaluate the inter- and intra-rater reliability of manual segmentation of ILV on follow-up non-contrast CT (NCCT) scans. METHODS Fifty patients from the Prove-IT study were randomly selected for this analysis. Three raters manually segmented ILV on 24-h NCCT scans, slice by slice, three times. The reference standard for ILV was generated by the Simultaneous Truth And Performance Level estimation (STAPLE) algorithm. Intra- and inter-rater reliability was evaluated, using metrics of intraclass correlation coefficient (ICC) regarding lesion volume and the Dice similarity coefficient (DSC). RESULTS Median age of the 50 subjects included was 74.5 years (interquartile range [IQR] 67-80), 54% were women, median baseline National Institutes of Health Stroke Scale was 18 (IQR 11-22), median baseline ASPECTS was 9 (IQR 6-10). The mean reference standard ILV was 92.5 ml (standard deviation (SD) ± 100.9 ml). The manually segmented ILV ranged from 88.2 ± 91.5 to 135.5 ± 119.9 ml (means referring to the variation between readers, SD within readers). Inter-rater ICC was 0.83 (95%CI: 0.76-0.88); intra-rater ICC ranged from 0.85 (95%CI: 0.72-0.92) to 0.95 (95%CI: 0.91-0.97). The mean DSC among the three readers ranged from 65.5 ± 22.9 to 76.4 ± 17.1% and the mean overall DSC was 72.8 ± 23.0%. CONCLUSION Manual ILV measurements on follow-up CT scans are reliable to measure the radiological outcome despite some variability.
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Broocks G, Kemmling A, Teßarek S, McDonough R, Meyer L, Faizy TD, Kniep H, Schön G, Nawka MT, Elsayed S, van Horn N, Cheng B, Thomalla G, Fiehler J, Hanning U. Quantitative Lesion Water Uptake as Stroke Imaging Biomarker: A Tool for Treatment Selection in the Extended Time Window? Stroke 2021; 53:201-209. [PMID: 34538082 DOI: 10.1161/strokeaha.120.033025] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
BACKGROUND AND PURPOSE Patients presenting in the extended time window may benefit from mechanical thrombectomy. However, selection for mechanical thrombectomy in this patient group has only been performed using specialized image processing platforms, which are not widely available. We hypothesized that quantitative lesion water uptake calculated in acute stroke computed tomography (CT) may serve as imaging biomarker to estimate ischemic lesion progression and predict clinical outcome in patients undergoing mechanical thrombectomy in the extended time window. METHODS All patients with ischemic anterior circulation stroke presenting within 4.5 to 24 hours after symptom onset who received initial multimodal CT between August 2014 and March 2020 and underwent mechanical thrombectomy were analyzed. Quantitative lesion net water uptake was calculated from the admission CT. Prediction of clinical outcome was assessed using univariable receiver operating characteristic curve analysis and logistic regression analyses. RESULTS One hundred two patients met the inclusion criteria. In the multivariable logistic regression analysis, net water uptake (odds ratio, 0.78 [95% CI, 0.64-0.95], P=0.01), age (odds ratio, 0.94 [95% CI, 0.88-0.99]; P=0.02), and National Institutes of Health Stroke Scale (odds ratio, 0.88 [95% CI, 0.79-0.99], P=0.03) were significantly and independently associated with favorable outcome (modified Rankin Scale score ≤1), adjusted for degree of recanalization and Alberta Stroke Program Early CT Score. A multivariable predictive model including the above parameters yielded the highest diagnostic ability in the classification of functional outcome, with an area under the curve of 0.88 (sensitivity 92.3%, specificity 82.9%). CONCLUSIONS The implementation of quantitative lesion water uptake as imaging biomarker in the diagnosis of patients with ischemic stroke presenting in the extended time window might improve clinical prognosis. Future studies could test this biomarker as complementary or even alternative tool to CT perfusion.
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Affiliation(s)
- Gabriel Broocks
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Germany. (G.B., S.T., R.M., L.M., T.D.F., H.K., M.T.N., S.E., N.v.H., J.F., U.H.).,Department of Neuroradiology, University Hospital Marburg, Germany (A.K.).,Department of Neuroradiology, Westpfalzklinikum, Kaiserslautern, Germany (T.D.F.)
| | | | - Svenja Teßarek
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Germany. (G.B., S.T., R.M., L.M., T.D.F., H.K., M.T.N., S.E., N.v.H., J.F., U.H.).,Department of Radiology (S.T.)
| | - Rosalie McDonough
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Germany. (G.B., S.T., R.M., L.M., T.D.F., H.K., M.T.N., S.E., N.v.H., J.F., U.H.)
| | - Lukas Meyer
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Germany. (G.B., S.T., R.M., L.M., T.D.F., H.K., M.T.N., S.E., N.v.H., J.F., U.H.)
| | - Tobias D Faizy
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Germany. (G.B., S.T., R.M., L.M., T.D.F., H.K., M.T.N., S.E., N.v.H., J.F., U.H.).,Department of Radiology, Stanford University (B.C., G.T., T.D.F.)
| | - Helge Kniep
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Germany. (G.B., S.T., R.M., L.M., T.D.F., H.K., M.T.N., S.E., N.v.H., J.F., U.H.)
| | - Gerhard Schön
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Germany. (G.S.).,Lüneburg Medical Center, Germany (G.S.)
| | - Marie Teresa Nawka
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Germany. (G.B., S.T., R.M., L.M., T.D.F., H.K., M.T.N., S.E., N.v.H., J.F., U.H.)
| | - Sarah Elsayed
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Germany. (G.B., S.T., R.M., L.M., T.D.F., H.K., M.T.N., S.E., N.v.H., J.F., U.H.)
| | - Noel van Horn
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Germany. (G.B., S.T., R.M., L.M., T.D.F., H.K., M.T.N., S.E., N.v.H., J.F., U.H.)
| | - Bastian Cheng
- Department of Radiology, Stanford University (B.C., G.T., T.D.F.)
| | - Götz Thomalla
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Germany. (G.T.).,Department of Radiology, Stanford University (B.C., G.T., T.D.F.)
| | - Jens Fiehler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Germany. (G.B., S.T., R.M., L.M., T.D.F., H.K., M.T.N., S.E., N.v.H., J.F., U.H.)
| | - Uta Hanning
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Germany. (G.B., S.T., R.M., L.M., T.D.F., H.K., M.T.N., S.E., N.v.H., J.F., U.H.)
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Bala F, Ospel J, Mulpur B, Kim BJ, Yoo J, Menon BK, Goyal M, Federau C, Sohn SI, Hussain MS, Almekhlafi MA. Infarct Growth despite Successful Endovascular Reperfusion in Acute Ischemic Stroke: A Meta-analysis. AJNR Am J Neuroradiol 2021; 42:1472-1478. [PMID: 34083260 DOI: 10.3174/ajnr.a7177] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Accepted: 03/25/2021] [Indexed: 11/07/2022]
Abstract
BACKGROUND Infarct volume inversely correlates with good recovery in stroke. The magnitude and predictors of infarct growth despite successful reperfusion via endovascular treatment are not known. PURPOSE We aimed to summarize the extent of infarct growth in patients with acute stroke who achieved successful reperfusion (TICI 2b-3) after endovascular treatment. DATA SOURCES We performed a systematic review and meta-analysis by searching MEDLINE and Google Scholar for articles published up to October 31, 2020. STUDY SELECTION Studies of >10 patients reporting baseline and post-endovascular treatment infarct volumes on MR imaging were included. Only patients with TICI 2b-3 were included. We calculated infarct growth at a study level as the difference between baseline and follow-up MR imaging infarct volumes. DATA ANALYSIS Our search yielded 345 studies, and we included 10 studies reporting on 973 patients having undergone endovascular treatment who achieved successful reperfusion. DATA SYNTHESIS The mean baseline infarct volume was 19.5 mL, while the mean final infarct volume was 37.5 mL. A TICI 2b reperfusion grade was achieved in 24% of patients, and TICI 2c or 3 in 76%. The pooled mean infarct growth was 14.8 mL (95% CI, 7.9-21.7 mL). Meta-regression showed higher infarct growth in studies that reported higher baseline infarct volumes, higher rates of incomplete reperfusion (modified TICI 2b), and longer onset-to-reperfusion times. LIMITATIONS Significant heterogeneity among studies was noted and might be driven by the difference in infarct growth between early- and late-treatment studies. CONCLUSIONS These results suggest considerable infarct growth despite successful endovascular treatment reperfusion and call for a faster workflow and the need for specific therapies to limit infarct growth.
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Affiliation(s)
- F Bala
- From the Calgary Stroke Program (F.B., J.O., B.K.M., M.G., M.A.A.), University of Calgary, Calgary, Alberta, Canada
- Department of Clinical Neurosciences (F.B., B.K.M., M.A.A.), University of Calgary, Calgary, Alberta, Canada
| | - J Ospel
- From the Calgary Stroke Program (F.B., J.O., B.K.M., M.G., M.A.A.), University of Calgary, Calgary, Alberta, Canada
- Department of Neuroradiology, Clinic of Radiology, and Nuclear Medicine (J.O.), University Hospital Basel, Basel, Switzerland
| | - B Mulpur
- Cerebrovascular Center and Department of Neurology (B.M., M.S.H.), Neurological Institute, Cleveland Clinic, Ohio
| | - B J Kim
- Department of Neurology and Cerebrovascular Center (B.J.K.), Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Republic of Korea
| | - J Yoo
- Yonsei University College of Medicine (J.Y.), Yongin Severance Hospital, Yongin, Korea
| | - B K Menon
- From the Calgary Stroke Program (F.B., J.O., B.K.M., M.G., M.A.A.), University of Calgary, Calgary, Alberta, Canada
- Department of Clinical Neurosciences (F.B., B.K.M., M.A.A.), University of Calgary, Calgary, Alberta, Canada
- Department of Radiology (B.K.M., M.A.A.), University of Calgary, Calgary, Alberta, Canada
| | - M Goyal
- From the Calgary Stroke Program (F.B., J.O., B.K.M., M.G., M.A.A.), University of Calgary, Calgary, Alberta, Canada
| | - C Federau
- Institute for Biomedical Engineering (C.F.), Swiss Federal Institute of Technology in Zürich, Zürich, Switzerland
| | - S-I Sohn
- Department of Neurology (S.-I.S.), Keimyung University School of Medicine, Daegu, Korea
| | - M S Hussain
- Cerebrovascular Center and Department of Neurology (B.M., M.S.H.), Neurological Institute, Cleveland Clinic, Ohio
| | - M A Almekhlafi
- From the Calgary Stroke Program (F.B., J.O., B.K.M., M.G., M.A.A.), University of Calgary, Calgary, Alberta, Canada
- Department of Clinical Neurosciences (F.B., B.K.M., M.A.A.), University of Calgary, Calgary, Alberta, Canada
- Department of Radiology (B.K.M., M.A.A.), University of Calgary, Calgary, Alberta, Canada
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48
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Rethinking the Collateral Vasculature Assessment in Acute Ischemic Stroke: The Comprehensive Collateral Cascade. Top Magn Reson Imaging 2021; 30:181-186. [PMID: 34397967 DOI: 10.1097/rmr.0000000000000274] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
ABSTRACT Occlusion of a cervical or cerebral artery results in disruption of blood flow to the brain and may result in irreversible infarction. Intracranial pial collaterals are a network of arteries that may preserve blood flow to otherwise critically hypoperfused brain areas until vessel recanalization is achieved. The robustness of these arterial collaterals is pivotal for the survivability of ischemic brain tissue and is associated with treatment success and long-term clinical outcome. More recently, the importance of venous outflow from ischemic brain tissue has been appreciated. Arterial collaterals and venous outflow are evaluated by neuroimaging parameters, and recent imaging advances have enabled a more comprehensive assessment of the entire collateral cascade in patients with acute ischemic stroke. Here we review novel imaging biomarkers for the assessment of arterial collaterals, tissue-level collateral blood flow, and venous outflow. We also summarize how a more comprehensive assessment of the cerebral blood flow leads to a better prediction of treatment efficacy and improved clinical outcomes.
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49
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Faizy TD, Kabiri R, Christensen S, Mlynash M, Kuraitis G, Broocks G, Hanning U, Nawabi J, Lansberg MG, Marks MP, Albers GW, Fiehler J, Wintermark M, Heit JJ. Perfusion imaging-based tissue-level collaterals predict ischemic lesion net water uptake in patients with acute ischemic stroke and large vessel occlusion. J Cereb Blood Flow Metab 2021; 41:2067-2075. [PMID: 33557694 PMCID: PMC8327120 DOI: 10.1177/0271678x21992200] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Ischemic lesion Net Water Uptake (NWU) quantifies cerebral edema formation and likely correlates with the microvascular perfusion status of patients with acute ischemic stroke due to large vessel occlusion (AIS-LVO). We hypothesized that favorable tissue-level collaterals (TLC) predict less NWU and good functional outcomes. We performed a retrospective multicenter analysis of AIS-LVO patients who underwent thrombectomy triage. TLC were measured on cerebral perfusion studies using the hypoperfusion intensity ratio (HIR; volume ratio of brain tissue with [Tmax > 10 sec/Tmax > 6 sec]); favorable TLC were regarded as HIR ≤ 0.4. NWU was determined using a quantitative densitometry approach on follow-up CT. Primary outcome was NWU. Secondary outcome was a good functional outcome (modified Rankin Scale [mRS] 0-2).580 patients met inclusion criteria. Favorable TLC (β: 4.23, SE: 0.65; p < 0.001) predicted smaller NWU after treatment. Favorable TLC (OR: 2.35, [95% CI: 1.31-4.21]; p < 0.001), and decreased NWU (OR: 0.75, [95% CI: 0.70-0.79]; p < 0.001) predicted good functional outcome, while controlling for age, glucose, CTA collaterals, baseline NIHSS and good vessel reperfusion status.We conclude that favorable TLC predict less ischemic lesion NWU after treatment in AIS-LVO patients. Favorable TLC and decreased NWU were independent predictors of good functional outcome.
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Affiliation(s)
- Tobias D Faizy
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Reza Kabiri
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Soren Christensen
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Michael Mlynash
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Gabriella Kuraitis
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Gabriel Broocks
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Uta Hanning
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jawed Nawabi
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.,Department of Radiology (CCM), Charité, Universitätsmedizin Berlin, Campus Mitte, Humboldt-Universität zu Berlin, Freie Universität Berlin, Berlin, Germany
| | - Maarten G Lansberg
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Michael P Marks
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Gregory W Albers
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Jens Fiehler
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Max Wintermark
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Jeremy J Heit
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
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50
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Konduri P, van Kranendonk K, Boers A, Treurniet K, Berkhemer O, Yoo AJ, van Zwam W, van Oostenbrugge R, van der Lugt A, Dippel D, Roos Y, Bot J, Majoie C, Marquering H. The Role of Edema in Subacute Lesion Progression After Treatment of Acute Ischemic Stroke. Front Neurol 2021; 12:705221. [PMID: 34354669 PMCID: PMC8329530 DOI: 10.3389/fneur.2021.705221] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Accepted: 06/18/2021] [Indexed: 12/11/2022] Open
Abstract
Background: Ischemic lesions commonly continue to progress even days after treatment, and this lesion growth is associated with unfavorable functional outcome in acute ischemic stroke patients. The aim of this study is to elucidate the role of edema in subacute lesion progression and its influence on unfavorable functional outcome by quantifying net water uptake. Methods: We included all 187 patients from the MR CLEAN trial who had high quality follow-up non-contrast CT at 24 h and 1 week. Using a CT densitometry-based method to calculate the net water uptake, we differentiated total ischemic lesion volume (TILV) into edema volume (EV) and edema-corrected infarct volume (ecIV). We calculated these volumes at 24 h and 1 week after stroke and determined their progression in the subacute period. We assessed the effect of 24-h lesion characteristics on EV and ecIV progression. We evaluated the influence of edema and edema-corrected infarct progression on favorable functional outcome after 90 days (modified Rankin Scale: 0-2) after correcting for potential confounders. Lastly, we compared these volumes between subgroups of patients with and without successful recanalization using the Mann-Whitney U-test. Results: Median TILV increased from 37 (IQR: 18-81) ml to 68 (IQR: 30-130) ml between 24 h and 1 week after stroke, while the net water uptake increased from 22 (IQR: 16-26)% to 27 (IQR: 22-32)%. The TILV progression of 20 (8.8-40) ml was mostly caused by ecIV with a median increase of 12 (2.4-21) ml vs. 6.5 (2.7-15) ml of EV progression. Larger TILV, EV, and ecIV volumes at 24 h were all associated with more edema and lesion progression. Edema progression was associated with unfavorable functional outcome [aOR: 0.53 (0.28-0.94) per 10 ml; p-value: 0.05], while edema-corrected infarct progression showed a similar, non-significant association [aOR: 0.80 (0.62-0.99); p-value: 0.06]. Lastly, edema progression was larger in patients without successful recanalization, whereas ecIV progression was comparable between the subgroups. Conclusion: EV increases in evolving ischemic lesions in the period between 1 day and 1 week after acute ischemic stroke. This progression is larger in patients without successful recanalization and is associated with unfavorable functional outcome. However, the extent of edema cannot explain the total expansion of ischemic lesions since edema-corrected infarct progression is larger than the edema progression.
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Affiliation(s)
- Praneeta Konduri
- Department of Biomedical Engineering and Physics, Amsterdam University Medical Centers, Amsterdam, Netherlands.,Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Amsterdam, Netherlands
| | - Katinka van Kranendonk
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Amsterdam, Netherlands
| | - Anna Boers
- Department of Biomedical Engineering and Physics, Amsterdam University Medical Centers, Amsterdam, Netherlands.,Nico.lab, Amsterdam, Netherlands
| | - Kilian Treurniet
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Amsterdam, Netherlands.,Department of Radiology and Nuclear Medicine, Haaglanden Medisch Centrum, The Hague, Netherlands
| | - Olvert Berkhemer
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Amsterdam, Netherlands.,Department of Neurology, Erasmus MC-University Medical Center, Rotterdam, Netherlands.,Department of Radiology and Nuclear Medicine, Erasmus MC-University Medical Center, Rotterdam, Netherlands
| | - Albert J Yoo
- Department of Radiology, Texas Stroke Institute, Dallas-Fort Worth, TX, United States
| | - Wim van Zwam
- Department of Radiology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Center, Maastricht, Netherlands
| | - Robert van Oostenbrugge
- Department of Neurology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Center, Maastricht, Netherlands
| | - Aad van der Lugt
- Department of Radiology and Nuclear Medicine, Erasmus MC-University Medical Center, Rotterdam, Netherlands
| | - Diederik Dippel
- Department of Neurology, Erasmus MC-University Medical Center, Rotterdam, Netherlands
| | - Yvo Roos
- Department of Neurology, Amsterdam University Medical Centers, Amsterdam, Netherlands
| | - Joost Bot
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Vrije Universiteit van Amsterdam, Amsterdam, Netherlands
| | - Charles Majoie
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Amsterdam, Netherlands
| | - Henk Marquering
- Department of Biomedical Engineering and Physics, Amsterdam University Medical Centers, Amsterdam, Netherlands.,Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Amsterdam, Netherlands
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