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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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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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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 2024:10.1007/s00330-024-10599-6. [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] [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
| | - Alireza Hasanzadeh
- Department of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN, 55905, USA
| | - Payam Jannatdoust
- Department of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN, 55905, USA
| | - Mahan Shafie
- Department of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN, 55905, USA
| | - 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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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: 0] [Impact Index Per Article: 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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