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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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2
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Shen L, Lu X, Wang H, Wu G, Guo Y, Zheng S, Ren L, Zhang H, Huang L, Ren B, Zhu J, Xia S. Impaired T1 mapping and Tmax during the first 7 days after ischemic stroke. A retrospective observational study. J Stroke Cerebrovasc Dis 2023; 32:107383. [PMID: 37844455 DOI: 10.1016/j.jstrokecerebrovasdis.2023.107383] [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: 06/29/2023] [Revised: 09/14/2023] [Accepted: 09/19/2023] [Indexed: 10/18/2023] Open
Abstract
OBJECTIVE To measure the relative T1 (rT1) value in different hypo-perfused regions after ischemic stroke using T1 mapping derived by Strategically Acquired Gradient Echo (STAGE) and assess its relationship with onset time and severity of ischemia. MATERIALS AND METHODS Sixty-three patients with acute anterior circulation ischemic stroke from 2017 to 2022 who underwent STAGE, diffusion weighted imaging (DWI) and dynamic susceptibility contrast perfusion weighted imaging (DSC-PWI) within 7 days were retrospectively enrolled. The areas with reduced diffusion and hypo-perfusion were segmented based on apparent diffusion coefficient (ADC) value < 0.62 × 10-3mm2/s and time-to-maximum (Tmax) thresholds (4, 6, 8, and 10 seconds). We measured the T1 value in the diffusion reduced and every 2 s Tmax strata regions and calculated rT1 (T1ipsi/T1contra) to explore the relationship between rT1 value, Tmax, and onset time. RESULTS rT1 value was increased in diffusion reduced (1.42) and hypo-perfused regions (1.02, 1.06, 1.12, 1.27, Tmax 4-6 s, 6-8 s, 8-10 s, > 10 s, respectively; all different from 1, P < 0.001). rT1 value was positively correlated with Tmax (rs = 0.61, P < 0.001) and onset time in area with reduced diffusion (rs = 0.39, P = 0.014). CONCLUSIONS Increased rT1 value in different hypo-perfused brain regions using T1 mapping derived by STAGE may reflect the edema; it was associated with the severity of Tmax and showed a weak correlation with the onset time in diffusion reduced areas.
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Affiliation(s)
- Lianfang Shen
- Department of Radiology, The First Central Clinical School, Tianjin Medical University, Tianjin, China
| | - Xiudi Lu
- Department of Radiology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
| | - Huiying Wang
- The School of Medicine, Nankai University, Tianjin, China
| | - Gemuer Wu
- Department of Radiology, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China
| | - Yu Guo
- Department of Radiology, Medical Imaging Institute of Tianjin, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China
| | - Shaowei Zheng
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Lei Ren
- Department of Radiology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
| | - Huanlei Zhang
- Department of Radiology, Yidu Central Hospital of Weifang, Qingzhou City, Shandong, China
| | - Lixiang Huang
- Department of Radiology, Medical Imaging Institute of Tianjin, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China
| | - Bo Ren
- College of Computer Science, Nankai University, Tianjin, China
| | - Jinxia Zhu
- MR Collaboration, Siemens Healthcare Ltd, Beijing, China
| | - Shuang Xia
- Department of Radiology, Medical Imaging Institute of Tianjin, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China.
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3
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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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Konduri P, Cavalcante F, van Voorst H, Rinkel L, Kappelhof M, van Kranendonk K, Treurniet K, Emmer B, Coutinho J, Wolff L, Hofmeijer J, Uyttenboogaart M, van Zwam W, Roos Y, Majoie C, Marquering H. Role of intravenous alteplase on late lesion growth and clinical outcome after stroke treatment. J Cereb Blood Flow Metab 2023; 43:116-125. [PMID: 37017421 PMCID: PMC10638991 DOI: 10.1177/0271678x231167755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Revised: 01/24/2023] [Accepted: 03/03/2023] [Indexed: 04/06/2023]
Abstract
Several acute ischemic stroke mechanisms that cause lesion growth continue after treatment which is detrimental to long-term clinical outcome. The potential role of intravenous alteplase treatment (IVT), a standard in stroke care, in cessing the physiological processes causing post-treatment lesion development is understudied. We analyzed patients from the MR CLEAN-NO IV trial with good quality 24-hour and 1-week follow-up Non-Contrast CT scans. We delineated hypo- and hyper-dense regions on the scans as lesion. We performed univariable logistic and linear regression to estimate the influence of IVT on the presence (growth > 0 ml) and extent of late lesion growth. The association between late lesion growth and mRS was assessed using ordinal logistic regression. Interaction analysis was performed to evaluate the influence of IVT on this association. Of the 63/116 were randomized to included patients, IVT. Median growth was 8.4(-0.88-26) ml. IVT was not significantly associated with the presence (OR: 1.24 (0.57-2.74, p = 0.59) or extent (β = 5.1(-8.8-19), p = 0.47) of growth. Late lesion growth was associated with worse clinical outcome (aOR: 0.85(0.76-0.95), p < 0.01; per 10 ml). IVT did not influence this association (p = 0.18). We did not find evidence that IVT influences late lesion growth or the relationship between growth and worse clinical outcome. Therapies to reduce lesion development are necessary.
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Affiliation(s)
- Praneeta Konduri
- Department of Biomedical Engineering and Physics, Amsterdam UMC, location University of Amsterdam, Amsterdam, the Netherlands
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, location University of Amsterdam, Amsterdam, the Netherlands
| | - Fabiano Cavalcante
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, location University of Amsterdam, Amsterdam, the Netherlands
| | - Henk van Voorst
- Department of Biomedical Engineering and Physics, Amsterdam UMC, location University of Amsterdam, Amsterdam, the Netherlands
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, location University of Amsterdam, Amsterdam, the Netherlands
| | - Leon Rinkel
- Department of Neurology, Amsterdam UMC, location University of Amsterdam, Amsterdam, the Netherlands
| | - Manon Kappelhof
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, location University of Amsterdam, Amsterdam, the Netherlands
| | - Katinka van Kranendonk
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, location University of Amsterdam, Amsterdam, the Netherlands
| | - Kilian Treurniet
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, location University of Amsterdam, Amsterdam, the Netherlands
- Department of Radiology, Haaglanden MC, The Hague, The Netherlands
| | - Bart Emmer
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, location University of Amsterdam, Amsterdam, the Netherlands
| | - Jonathan Coutinho
- Department of Neurology, Amsterdam UMC, location University of Amsterdam, Amsterdam, the Netherlands
| | - Lennard Wolff
- Department of Radiology & Nuclear Medicine, Erasmus MC, University Medical Center, Rotterdam, Netherlands
| | - Jeanette Hofmeijer
- Department of Neurology, Rijnstate Hospital, Arnhem, the Netherlands
- Department of Clinical Neurophysiology, University of Twente, Enschede, the Netherlands
| | - Maarten Uyttenboogaart
- Department of Neurology, University Medical Center Groningen, Groningen, the Netherlands
| | - Wim van Zwam
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht (CARIM), Maastricht, the Netherlands
| | - Yvo Roos
- Department of Neurology, Amsterdam UMC, location University of Amsterdam, Amsterdam, the Netherlands
| | - Charles Majoie
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, location University of Amsterdam, Amsterdam, the Netherlands
| | - Henk Marquering
- Department of Biomedical Engineering and Physics, Amsterdam UMC, location University of Amsterdam, Amsterdam, the Netherlands
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, location University of Amsterdam, Amsterdam, the Netherlands
| | - on behalf of the MR CLEAN-NO IV Trial Investigators (Multicenter Randomized Clinical Trial of Endovascular Treatment for Acute Ischemic Stroke in the Netherlands)
- Department of Biomedical Engineering and Physics, Amsterdam UMC, location University of Amsterdam, Amsterdam, the Netherlands
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, location University of Amsterdam, Amsterdam, the Netherlands
- Department of Neurology, Amsterdam UMC, location University of Amsterdam, Amsterdam, the Netherlands
- Department of Radiology, Haaglanden MC, The Hague, The Netherlands
- Department of Radiology & Nuclear Medicine, Erasmus MC, University Medical Center, Rotterdam, Netherlands
- Department of Neurology, Rijnstate Hospital, Arnhem, the Netherlands
- Department of Clinical Neurophysiology, University of Twente, Enschede, the Netherlands
- Department of Neurology, University Medical Center Groningen, Groningen, the Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht (CARIM), Maastricht, the Netherlands
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Jang M, Han S, Cho H. Correspondence between development of cytotoxic edema and cerebrospinal fluid volume and flow in the third ventricle after ischemic stroke. J Stroke Cerebrovasc Dis 2023; 32:107200. [PMID: 37290155 DOI: 10.1016/j.jstrokecerebrovasdis.2023.107200] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 05/22/2023] [Accepted: 05/24/2023] [Indexed: 06/10/2023] Open
Abstract
OBJECTIVES The importance of monitoring cerebrospinal fluid for the development of edema in ischemic stroke has been emphasized; however, studies on the relationship between intraventricular cerebrospinal fluid behavior and edema through longitudinal observations and analysis are rare. This study aimed to investigate the correlation between the development of cytotoxic edema and cerebrospinal fluid volume and flow in the third ventricle after ischemic stroke. MATERIALS AND METHODS The ventricle and edema regions were obtained using apparent diffusion coefficients and T2 and subdivided into lateral/ventral 3rd ventricles and cytotoxic/vasogenic (or cyst) edema, respectively. In rat models of ischemic stroke, the volume and flow (via the pseudo-diffusion coefficient [D*]) of the ventricles and edema volumes were longitudinally monitored for up to 45 days after surgery. RESULTS The volume of cytotoxic edema increased in the hyperacute and acute phases, whereas the volume (r = -0.49) and median D* values (r = -0.48 in the anterior-posterior direction) of the ventral 3rd ventricle both decreased, showing negative correlations with the volume of cytotoxic edema. In contrast, the volume of vasogenic edema/cyst was positively correlated with the volume (r = 0.73) and median D* values (r = 0.78 in the anterior-posterior direction) of the lateral ventricle in the subacute and chronic phases. CONCLUSIONS This study showed that the evolution of cerebrospinal fluid volume and flow in the ventricles was associated with edema progression at different time points in the ischemic stroke brain. This provides an efficient framework for monitoring and quantifying the interplay between cerebrospinal fluid and edema.
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Affiliation(s)
- MinJung Jang
- Department of Biomedical Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea; Department of Radiology, Weill Cornell Medicine, New York, NY, USA
| | - SoHyun Han
- Research Equipment Operations Division, Korea Basic Science Institute, Cheongju 28119, South Korea
| | - HyungJoon Cho
- Department of Biomedical Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea.
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Li Y, Tan L, Yang C, He L, Liu L, Deng B, Liu S, Guo J. Distinctions between the Koizumi and Zea Longa methods for middle cerebral artery occlusion (MCAO) model: a systematic review and meta-analysis of rodent data. Sci Rep 2023; 13:10247. [PMID: 37353569 PMCID: PMC10290095 DOI: 10.1038/s41598-023-37187-w] [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: 02/27/2023] [Accepted: 06/17/2023] [Indexed: 06/25/2023] Open
Abstract
Ischemic stroke in rodents is usually induced by intraluminal middle cerebral artery occlusion (MCAO) via the common carotid artery plugging filament invented by Koizumi et al. (MCAO-KM), or the external carotid artery plugging filament created by Zea Longa et al. (MCAO-LG). A systematic review of the distinctions between them is currently lacking. Here, we performed a meta-analysis in terms of model establishment, cerebral blood flow (CBF), and cerebral ischemia-reperfusion injury (CIRI) between them, Weighted Mean Differences and Standardized Mean Difference were used to analyze the combined effects, Cochrane's Q test and the I2 statistic were applied to determine heterogeneity, sensitivity analysis and subgroup analysis were performed to explore the source of heterogeneity. Literature mining suggests that MCAO-KM brings shorter operation time (p = 0.007), higher probability of plugging filament (p < 0.001) and molding establishment (p = 0.006), lower possibility of subarachnoid hemorrhage (p = 0.02), larger infarct volume (p = 0.003), severer brain edema (p = 0.002), and neurological deficits (p = 0.03). Nevertheless, MCAO-LG shows a more adequate CBF after ischemia-reperfusion (p < 0.001), a higher model survival rate (p = 0.02), and a greater infarct rate (p = 0.007). In conclusion, the MCAO-KM method is simple to operate with a high modeling success rate, and is suitable for the study of brain edema under long-term hypoperfusion, while the MCAO-LG method is highly challenging for novices, and is suitable for the study of CIRI caused by complete ischemia-reperfusion. These findings are expected to benefit the selection of intraluminal filament MCAO models before undertaking ischemic stroke preclinical effectiveness trials.
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Affiliation(s)
- Yong Li
- College of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Li Tan
- College of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Caixia Yang
- College of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Liying He
- College of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Lin Liu
- College of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Bowen Deng
- College of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Sijing Liu
- College of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Jinlin Guo
- College of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
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7
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Hoving JW, van Voorst H, Kappelhof M, Tolhuisen M, Treurniet KM, LeCouffe NE, Rinkel LA, Koopman MS, Cavalcante F, Konduri PR, van den Wijngaard IR, Ghariq E, Anton Meijer FJ, Coutinho JM, Marquering HA, Roos YBWEM, Emmer BJ, Majoie CBLM. Infarct Evolution in Patients with Anterior Circulation Large-Vessel Occlusion Randomized to IV Alteplase and Endovascular Treatment versus Endovascular Treatment Alone. AJNR Am J Neuroradiol 2023; 44:434-440. [PMID: 36958803 PMCID: PMC10084906 DOI: 10.3174/ajnr.a7826] [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: 10/03/2022] [Accepted: 01/31/2023] [Indexed: 03/25/2023]
Abstract
BACKGROUND AND PURPOSE Infarct evolution after endovascular treatment varies widely among patients with stroke and may be affected by baseline characteristics and procedural outcomes. Moreover, IV alteplase and endovascular treatment may influence the relationship of these factors to infarct evolution. We aimed to assess whether the infarct evolution between baseline and follow-up imaging was different for patients who received IVT and EVT versus EVT alone. MATERIALS AND METHODS We included patients from the Multicenter Randomized Clinical Trial of Endovascular Treatment for Acute Ischemic Stroke in the Netherlands (MR CLEAN)-NO IV trial with baseline CTP and follow-up imaging. Follow-up infarct volume was segmented on 24-hour or 1-week follow-up DWI or NCCT. Infarct evolution was defined as the follow-up lesion volume: CTP core volume. Substantial infarct growth was defined as an increase in follow-up infarct volume of >10 mL. We assessed whether infarct evolution was different for patients with IV alteplase and endovascular treatment versus endovascular treatment alone and evaluated the association of baseline characteristics and procedural outcomes with infarct evolution using multivariable regression. RESULTS From 228 patients with CTP results available, 145 patients had follow-up imaging and were included in our analysis. For patients with IV alteplase and endovascular treatment versus endovascular treatment alone, the baseline median CTP core volume was 17 (interquartile range = 4-35) mL versus 11 (interquartile range = 6-24) mL. The median follow-up infarct volume was 13 (interquartile range, 4-48) mL versus 17 (interquartile range = 4-50) mL. Collateral status and occlusion location were negatively associated with substantial infarct growth in patients with and without IV alteplase before endovascular treatment. CONCLUSIONS No statistically significant difference in infarct evolution was found in directly admitted patients who received IV alteplase and endovascular treatment within 4.5 hours of symptom onset versus patients who underwent endovascular treatment alone. Collateral status and occlusion location may be useful predictors of infarct evolution prognosis in patients eligible for IV alteplase who underwent endovascular treatment.
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Affiliation(s)
- J W Hoving
- From the Departments of Radiology and Nuclear Medicine (J.W.H., H.v.V., M.K., M.T., K.M.T., M.S.K., H.A.M., B.J.E., C.B.L.M.M.)
| | - H van Voorst
- From the Departments of Radiology and Nuclear Medicine (J.W.H., H.v.V., M.K., M.T., K.M.T., M.S.K., H.A.M., B.J.E., C.B.L.M.M.)
- Biomedical Engineering and Physics (H.v.V., M.T., F.C., P.R.K., H.A.M.)
| | - M Kappelhof
- From the Departments of Radiology and Nuclear Medicine (J.W.H., H.v.V., M.K., M.T., K.M.T., M.S.K., H.A.M., B.J.E., C.B.L.M.M.)
| | - M Tolhuisen
- From the Departments of Radiology and Nuclear Medicine (J.W.H., H.v.V., M.K., M.T., K.M.T., M.S.K., H.A.M., B.J.E., C.B.L.M.M.)
- Biomedical Engineering and Physics (H.v.V., M.T., F.C., P.R.K., H.A.M.)
| | - K M Treurniet
- From the Departments of Radiology and Nuclear Medicine (J.W.H., H.v.V., M.K., M.T., K.M.T., M.S.K., H.A.M., B.J.E., C.B.L.M.M.)
- Department of Radiology (K.M.T., I.R.v.d.W., E.G.), The Hague Medical Centers, The Hague, the Netherlands
| | - N E LeCouffe
- Neurology (N.E.L., L.A.R., J.M.C., Y.B.W.E.M.R.), Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands
| | - L A Rinkel
- Neurology (N.E.L., L.A.R., J.M.C., Y.B.W.E.M.R.), Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands
| | - M S Koopman
- From the Departments of Radiology and Nuclear Medicine (J.W.H., H.v.V., M.K., M.T., K.M.T., M.S.K., H.A.M., B.J.E., C.B.L.M.M.)
| | - F Cavalcante
- Biomedical Engineering and Physics (H.v.V., M.T., F.C., P.R.K., H.A.M.)
| | - P R Konduri
- Biomedical Engineering and Physics (H.v.V., M.T., F.C., P.R.K., H.A.M.)
| | - I R van den Wijngaard
- Department of Radiology (K.M.T., I.R.v.d.W., E.G.), The Hague Medical Centers, The Hague, the Netherlands
| | - E Ghariq
- Department of Radiology (K.M.T., I.R.v.d.W., E.G.), The Hague Medical Centers, The Hague, the Netherlands
| | - F J Anton Meijer
- Department of Radiology (F.J.A.M.), Radboud University Medical Center, Nijmegen, the Netherlands
| | - J M Coutinho
- Neurology (N.E.L., L.A.R., J.M.C., Y.B.W.E.M.R.), Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands
| | - H A Marquering
- From the Departments of Radiology and Nuclear Medicine (J.W.H., H.v.V., M.K., M.T., K.M.T., M.S.K., H.A.M., B.J.E., C.B.L.M.M.)
- Biomedical Engineering and Physics (H.v.V., M.T., F.C., P.R.K., H.A.M.)
| | - Y B W E M Roos
- Neurology (N.E.L., L.A.R., J.M.C., Y.B.W.E.M.R.), Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands
| | - B J Emmer
- From the Departments of Radiology and Nuclear Medicine (J.W.H., H.v.V., M.K., M.T., K.M.T., M.S.K., H.A.M., B.J.E., C.B.L.M.M.)
| | - C B L M Majoie
- From the Departments of Radiology and Nuclear Medicine (J.W.H., H.v.V., M.K., M.T., K.M.T., M.S.K., H.A.M., B.J.E., C.B.L.M.M.)
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Shao Y, Chen X, Wang H, Shang Y, Xu J, Zhang J, Wang P, Geng Y. Large mismatch profile predicts rapidly progressing brain edema in acute anterior circulation large vessel occlusion patients undergoing endovascular thrombectomy. Front Neurol 2023; 13:982911. [PMID: 36686510 PMCID: PMC9846046 DOI: 10.3389/fneur.2022.982911] [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: 06/30/2022] [Accepted: 12/05/2022] [Indexed: 01/05/2023] Open
Abstract
Background Brain edema is a severe complication in patients with large vessel occlusion (LVO) that can reduce the effectiveness of endovascular therapy (EVT). This study aimed to investigate the association of the perfusion profile at baseline computed tomography (CT) perfusion with rapidly progressing brain edema (RPBE) after EVT in patients with acute anterior LVO. Methods We retrospectively reviewed consecutive data collected from 149 patients with anterior LVO who underwent EVT at our center. Brain edema was measured by the swelling score (0-6 score), and RPBE was defined as the swelling score increased by more than 2 scores within 24 h after EVT. We investigated the effect of RPBE on poor outcomes [National Institute of Health Stroke Scale (NIHSS) score and modified Rankin scale (mRS) score at discharge, the occurrence of hemorrhagic transformation, and mortality rate in the hospital] using the Mann-Whitney U-test and chi-square test. A multivariate logistic regression model was used to assess the relationship between perfusion imaging parameters and RPBE occurrence. Results Overall, 39 patients (26.2%) experienced RPBE after EVT. At discharge, RPBE was associated with higher NIHSS scores (Z = 3.52, 95% CI 2.0-12.0, P < 0.001) and higher mRS scores (Z = 3.67, 95% CI 0.0-1.0, P < 0.001) including the more frequent occurrence of hemorrhagic transformation (χ2 = 22.17, 95% CI 0.29-0.59, P < 0.001) and higher mortality rates in hospital (χ2 = 9.54, 95% CI 0.06-0.36, P = 0.002). Univariate analysis showed that intravenous thrombolysis, baseline ischemic core volume, and baseline mismatch ratio correlated with RPBE (all P < 0.05). After dividing the mismatch ratio into quartiles and performing a chi-square test between quartiles, we found that the occurrence of RPBE in Q4 (mismatch ratio > 11.3) was significantly lower than that in Q1 (mismatch ratio ≤ 3.0) (P < 0.05). The result of multivariate logistic regression analysis showed that compared with baseline mismatch ratio <5.1, baseline mismatch ratio between 5.1 and 11.3 (OR:3.85, 95% CI 1.06-14.29, P = 0.040), and mismatch ratio >11.3 (OR:5.26, 95% CI 1.28-20.00, P = 0.021) were independent protective factors for RPBE. Conclusion In patients with anterior circulation LVO stroke undergoing successful EVT, a large mismatch ratio at baseline is a protective factor for RPBE, which is associated with poor outcomes.
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Affiliation(s)
- Yanqi Shao
- Department of Neurology, Center for Rehabilitation Medicine, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Xinyi Chen
- Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China
| | - Huiyuan Wang
- Department of Neurology, Center for Rehabilitation Medicine, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China,Department of Clinical Medicine, Bengbu Medical College, Bengbu, China
| | - Yafei Shang
- Department of Neurology, Center for Rehabilitation Medicine, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China,Department of Clinical Medicine, Bengbu Medical College, Bengbu, China
| | - Jie Xu
- Department of Neurology, Center for Rehabilitation Medicine, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China,Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China
| | - Jinshi Zhang
- Department of Nephrology, Urology and Nephrology Center, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Peng Wang
- Department of Neurology, Center for Rehabilitation Medicine, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Yu Geng
- Department of Neurology, Center for Rehabilitation Medicine, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China,*Correspondence: Yu Geng ✉
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Mechtouff L, Debs N, Frindel C, Bani-Sadr A, Bochaton T, Paccalet A, Crola Da Silva C, Buisson M, Amaz C, Berthezene Y, Eker OF, Bouin M, de Bourguignon C, Mewton N, Ovize M, Bidaux G, Nighoghossian N, Cho TH. Association of Blood Biomarkers of Inflammation With Penumbra Consumption After Mechanical Thrombectomy in Patients With Acute Ischemic Stroke. Neurology 2022; 99:e2063-e2071. [PMID: 36316128 DOI: 10.1212/wnl.0000000000201038] [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: 01/13/2022] [Accepted: 06/15/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES The objective of this study was to assess the relationship between blood biomarkers of inflammation and lesion growth within the penumbra in acute ischemic stroke (AIS) patients treated with mechanical thrombectomy (MT). METHODS The HIBISCUS-STROKE cohort enrolled patients admitted in the Lyon Stroke Center for an anterior circulation AIS treated with MT after brain MRI assessment. Lesion growth within the penumbra was assessed on day 6 MRI using a voxel-based nonlinear coregistration method and dichotomized into low and high according to the median value. C-reactive protein, interleukin (IL)-6, IL-8, IL-10, monocyte chemoattractant protein-1, soluble tumor necrosis factor receptor I, soluble form suppression of tumorigenicity 2 (sST2), soluble P-selectin, vascular cellular adhesion molecule-1, and matrix metalloproteinase-9 were measured in sera at 4 time points within the first 48 hours. Reperfusion was considered as successful if Thrombolysis in Cerebral Infarction score was 2b/2c/3. A multiple logistic regression model was performed to detect any association between area under the curve (AUC) of these biomarkers within the first 48 hours and a high lesion growth within the penumbra. RESULTS Ninety patients were included. The median lesion growth within the penumbra was 2.3 (0.7-6.2) mL. On multivariable analysis, a high sST2 AUC (OR 3.77, 95% CI 1.36-10.46), a high baseline DWI volume (OR 3.65, 95% CI 1.32-10.12), and a lack of successful reperfusion (OR 0.19, 95% CI 0.04-0.92) were associated with a high lesion growth within the penumbra. When restricting analyses to patients with successful reperfusion (n = 76), a high sST2 AUC (OR 5.03, 95% CI 1.64-15.40), a high baseline DWI volume (OR 3.74, 95% CI 1.22-11.53), and a high penumbra volume (OR 3.25, 95% CI 1.10-9.57) remained associated with a high lesion growth within the penumbra. DISCUSSION High sST2 levels within the first 48 hours are associated with a high lesion growth within the penumbra.
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Affiliation(s)
- Laura Mechtouff
- From the Stroke Department (L.M., N.N., T.-H.C.), Hospices Civils de Lyon; Univ Lyon (L.M., T.B., A.P., C.C.D.S., M.O., G.B., N.N., T.-H.C.), CarMeN Laboratory, INSERM, INRA, University Lyon 1; CREATIS (N.D., C.F., Y.B.), CNRS UMR 5220, INSERM U1044, University Lyon 1; Neuroradiology Department (A.B.-S., Y.B., O.F.E.), Hospices Civils de Lyon; Cardiac Intensive Care Unit (T.B.), Hospices Civils de Lyon; Clinical Investigation Center (M.B., C.A., C.d.B., N.M., M.O.), INSERM 1407, Hospices Civils de Lyon; and Cellule Recherche Imagerie (M.B.), Hospices Civils de Lyon, France.
| | - Noelie Debs
- From the Stroke Department (L.M., N.N., T.-H.C.), Hospices Civils de Lyon; Univ Lyon (L.M., T.B., A.P., C.C.D.S., M.O., G.B., N.N., T.-H.C.), CarMeN Laboratory, INSERM, INRA, University Lyon 1; CREATIS (N.D., C.F., Y.B.), CNRS UMR 5220, INSERM U1044, University Lyon 1; Neuroradiology Department (A.B.-S., Y.B., O.F.E.), Hospices Civils de Lyon; Cardiac Intensive Care Unit (T.B.), Hospices Civils de Lyon; Clinical Investigation Center (M.B., C.A., C.d.B., N.M., M.O.), INSERM 1407, Hospices Civils de Lyon; and Cellule Recherche Imagerie (M.B.), Hospices Civils de Lyon, France
| | - Carole Frindel
- From the Stroke Department (L.M., N.N., T.-H.C.), Hospices Civils de Lyon; Univ Lyon (L.M., T.B., A.P., C.C.D.S., M.O., G.B., N.N., T.-H.C.), CarMeN Laboratory, INSERM, INRA, University Lyon 1; CREATIS (N.D., C.F., Y.B.), CNRS UMR 5220, INSERM U1044, University Lyon 1; Neuroradiology Department (A.B.-S., Y.B., O.F.E.), Hospices Civils de Lyon; Cardiac Intensive Care Unit (T.B.), Hospices Civils de Lyon; Clinical Investigation Center (M.B., C.A., C.d.B., N.M., M.O.), INSERM 1407, Hospices Civils de Lyon; and Cellule Recherche Imagerie (M.B.), Hospices Civils de Lyon, France
| | - Alexandre Bani-Sadr
- From the Stroke Department (L.M., N.N., T.-H.C.), Hospices Civils de Lyon; Univ Lyon (L.M., T.B., A.P., C.C.D.S., M.O., G.B., N.N., T.-H.C.), CarMeN Laboratory, INSERM, INRA, University Lyon 1; CREATIS (N.D., C.F., Y.B.), CNRS UMR 5220, INSERM U1044, University Lyon 1; Neuroradiology Department (A.B.-S., Y.B., O.F.E.), Hospices Civils de Lyon; Cardiac Intensive Care Unit (T.B.), Hospices Civils de Lyon; Clinical Investigation Center (M.B., C.A., C.d.B., N.M., M.O.), INSERM 1407, Hospices Civils de Lyon; and Cellule Recherche Imagerie (M.B.), Hospices Civils de Lyon, France
| | - Thomas Bochaton
- From the Stroke Department (L.M., N.N., T.-H.C.), Hospices Civils de Lyon; Univ Lyon (L.M., T.B., A.P., C.C.D.S., M.O., G.B., N.N., T.-H.C.), CarMeN Laboratory, INSERM, INRA, University Lyon 1; CREATIS (N.D., C.F., Y.B.), CNRS UMR 5220, INSERM U1044, University Lyon 1; Neuroradiology Department (A.B.-S., Y.B., O.F.E.), Hospices Civils de Lyon; Cardiac Intensive Care Unit (T.B.), Hospices Civils de Lyon; Clinical Investigation Center (M.B., C.A., C.d.B., N.M., M.O.), INSERM 1407, Hospices Civils de Lyon; and Cellule Recherche Imagerie (M.B.), Hospices Civils de Lyon, France
| | - Alexandre Paccalet
- From the Stroke Department (L.M., N.N., T.-H.C.), Hospices Civils de Lyon; Univ Lyon (L.M., T.B., A.P., C.C.D.S., M.O., G.B., N.N., T.-H.C.), CarMeN Laboratory, INSERM, INRA, University Lyon 1; CREATIS (N.D., C.F., Y.B.), CNRS UMR 5220, INSERM U1044, University Lyon 1; Neuroradiology Department (A.B.-S., Y.B., O.F.E.), Hospices Civils de Lyon; Cardiac Intensive Care Unit (T.B.), Hospices Civils de Lyon; Clinical Investigation Center (M.B., C.A., C.d.B., N.M., M.O.), INSERM 1407, Hospices Civils de Lyon; and Cellule Recherche Imagerie (M.B.), Hospices Civils de Lyon, France
| | - Claire Crola Da Silva
- From the Stroke Department (L.M., N.N., T.-H.C.), Hospices Civils de Lyon; Univ Lyon (L.M., T.B., A.P., C.C.D.S., M.O., G.B., N.N., T.-H.C.), CarMeN Laboratory, INSERM, INRA, University Lyon 1; CREATIS (N.D., C.F., Y.B.), CNRS UMR 5220, INSERM U1044, University Lyon 1; Neuroradiology Department (A.B.-S., Y.B., O.F.E.), Hospices Civils de Lyon; Cardiac Intensive Care Unit (T.B.), Hospices Civils de Lyon; Clinical Investigation Center (M.B., C.A., C.d.B., N.M., M.O.), INSERM 1407, Hospices Civils de Lyon; and Cellule Recherche Imagerie (M.B.), Hospices Civils de Lyon, France
| | - Marielle Buisson
- From the Stroke Department (L.M., N.N., T.-H.C.), Hospices Civils de Lyon; Univ Lyon (L.M., T.B., A.P., C.C.D.S., M.O., G.B., N.N., T.-H.C.), CarMeN Laboratory, INSERM, INRA, University Lyon 1; CREATIS (N.D., C.F., Y.B.), CNRS UMR 5220, INSERM U1044, University Lyon 1; Neuroradiology Department (A.B.-S., Y.B., O.F.E.), Hospices Civils de Lyon; Cardiac Intensive Care Unit (T.B.), Hospices Civils de Lyon; Clinical Investigation Center (M.B., C.A., C.d.B., N.M., M.O.), INSERM 1407, Hospices Civils de Lyon; and Cellule Recherche Imagerie (M.B.), Hospices Civils de Lyon, France
| | - Camille Amaz
- From the Stroke Department (L.M., N.N., T.-H.C.), Hospices Civils de Lyon; Univ Lyon (L.M., T.B., A.P., C.C.D.S., M.O., G.B., N.N., T.-H.C.), CarMeN Laboratory, INSERM, INRA, University Lyon 1; CREATIS (N.D., C.F., Y.B.), CNRS UMR 5220, INSERM U1044, University Lyon 1; Neuroradiology Department (A.B.-S., Y.B., O.F.E.), Hospices Civils de Lyon; Cardiac Intensive Care Unit (T.B.), Hospices Civils de Lyon; Clinical Investigation Center (M.B., C.A., C.d.B., N.M., M.O.), INSERM 1407, Hospices Civils de Lyon; and Cellule Recherche Imagerie (M.B.), Hospices Civils de Lyon, France
| | - Yves Berthezene
- From the Stroke Department (L.M., N.N., T.-H.C.), Hospices Civils de Lyon; Univ Lyon (L.M., T.B., A.P., C.C.D.S., M.O., G.B., N.N., T.-H.C.), CarMeN Laboratory, INSERM, INRA, University Lyon 1; CREATIS (N.D., C.F., Y.B.), CNRS UMR 5220, INSERM U1044, University Lyon 1; Neuroradiology Department (A.B.-S., Y.B., O.F.E.), Hospices Civils de Lyon; Cardiac Intensive Care Unit (T.B.), Hospices Civils de Lyon; Clinical Investigation Center (M.B., C.A., C.d.B., N.M., M.O.), INSERM 1407, Hospices Civils de Lyon; and Cellule Recherche Imagerie (M.B.), Hospices Civils de Lyon, France
| | - Omer Faruk Eker
- From the Stroke Department (L.M., N.N., T.-H.C.), Hospices Civils de Lyon; Univ Lyon (L.M., T.B., A.P., C.C.D.S., M.O., G.B., N.N., T.-H.C.), CarMeN Laboratory, INSERM, INRA, University Lyon 1; CREATIS (N.D., C.F., Y.B.), CNRS UMR 5220, INSERM U1044, University Lyon 1; Neuroradiology Department (A.B.-S., Y.B., O.F.E.), Hospices Civils de Lyon; Cardiac Intensive Care Unit (T.B.), Hospices Civils de Lyon; Clinical Investigation Center (M.B., C.A., C.d.B., N.M., M.O.), INSERM 1407, Hospices Civils de Lyon; and Cellule Recherche Imagerie (M.B.), Hospices Civils de Lyon, France
| | - Morgane Bouin
- From the Stroke Department (L.M., N.N., T.-H.C.), Hospices Civils de Lyon; Univ Lyon (L.M., T.B., A.P., C.C.D.S., M.O., G.B., N.N., T.-H.C.), CarMeN Laboratory, INSERM, INRA, University Lyon 1; CREATIS (N.D., C.F., Y.B.), CNRS UMR 5220, INSERM U1044, University Lyon 1; Neuroradiology Department (A.B.-S., Y.B., O.F.E.), Hospices Civils de Lyon; Cardiac Intensive Care Unit (T.B.), Hospices Civils de Lyon; Clinical Investigation Center (M.B., C.A., C.d.B., N.M., M.O.), INSERM 1407, Hospices Civils de Lyon; and Cellule Recherche Imagerie (M.B.), Hospices Civils de Lyon, France
| | - Charles de Bourguignon
- From the Stroke Department (L.M., N.N., T.-H.C.), Hospices Civils de Lyon; Univ Lyon (L.M., T.B., A.P., C.C.D.S., M.O., G.B., N.N., T.-H.C.), CarMeN Laboratory, INSERM, INRA, University Lyon 1; CREATIS (N.D., C.F., Y.B.), CNRS UMR 5220, INSERM U1044, University Lyon 1; Neuroradiology Department (A.B.-S., Y.B., O.F.E.), Hospices Civils de Lyon; Cardiac Intensive Care Unit (T.B.), Hospices Civils de Lyon; Clinical Investigation Center (M.B., C.A., C.d.B., N.M., M.O.), INSERM 1407, Hospices Civils de Lyon; and Cellule Recherche Imagerie (M.B.), Hospices Civils de Lyon, France
| | - Nathan Mewton
- From the Stroke Department (L.M., N.N., T.-H.C.), Hospices Civils de Lyon; Univ Lyon (L.M., T.B., A.P., C.C.D.S., M.O., G.B., N.N., T.-H.C.), CarMeN Laboratory, INSERM, INRA, University Lyon 1; CREATIS (N.D., C.F., Y.B.), CNRS UMR 5220, INSERM U1044, University Lyon 1; Neuroradiology Department (A.B.-S., Y.B., O.F.E.), Hospices Civils de Lyon; Cardiac Intensive Care Unit (T.B.), Hospices Civils de Lyon; Clinical Investigation Center (M.B., C.A., C.d.B., N.M., M.O.), INSERM 1407, Hospices Civils de Lyon; and Cellule Recherche Imagerie (M.B.), Hospices Civils de Lyon, France
| | - Michel Ovize
- From the Stroke Department (L.M., N.N., T.-H.C.), Hospices Civils de Lyon; Univ Lyon (L.M., T.B., A.P., C.C.D.S., M.O., G.B., N.N., T.-H.C.), CarMeN Laboratory, INSERM, INRA, University Lyon 1; CREATIS (N.D., C.F., Y.B.), CNRS UMR 5220, INSERM U1044, University Lyon 1; Neuroradiology Department (A.B.-S., Y.B., O.F.E.), Hospices Civils de Lyon; Cardiac Intensive Care Unit (T.B.), Hospices Civils de Lyon; Clinical Investigation Center (M.B., C.A., C.d.B., N.M., M.O.), INSERM 1407, Hospices Civils de Lyon; and Cellule Recherche Imagerie (M.B.), Hospices Civils de Lyon, France
| | - Gabriel Bidaux
- From the Stroke Department (L.M., N.N., T.-H.C.), Hospices Civils de Lyon; Univ Lyon (L.M., T.B., A.P., C.C.D.S., M.O., G.B., N.N., T.-H.C.), CarMeN Laboratory, INSERM, INRA, University Lyon 1; CREATIS (N.D., C.F., Y.B.), CNRS UMR 5220, INSERM U1044, University Lyon 1; Neuroradiology Department (A.B.-S., Y.B., O.F.E.), Hospices Civils de Lyon; Cardiac Intensive Care Unit (T.B.), Hospices Civils de Lyon; Clinical Investigation Center (M.B., C.A., C.d.B., N.M., M.O.), INSERM 1407, Hospices Civils de Lyon; and Cellule Recherche Imagerie (M.B.), Hospices Civils de Lyon, France
| | - Norbert Nighoghossian
- From the Stroke Department (L.M., N.N., T.-H.C.), Hospices Civils de Lyon; Univ Lyon (L.M., T.B., A.P., C.C.D.S., M.O., G.B., N.N., T.-H.C.), CarMeN Laboratory, INSERM, INRA, University Lyon 1; CREATIS (N.D., C.F., Y.B.), CNRS UMR 5220, INSERM U1044, University Lyon 1; Neuroradiology Department (A.B.-S., Y.B., O.F.E.), Hospices Civils de Lyon; Cardiac Intensive Care Unit (T.B.), Hospices Civils de Lyon; Clinical Investigation Center (M.B., C.A., C.d.B., N.M., M.O.), INSERM 1407, Hospices Civils de Lyon; and Cellule Recherche Imagerie (M.B.), Hospices Civils de Lyon, France
| | - Tae-Hee Cho
- From the Stroke Department (L.M., N.N., T.-H.C.), Hospices Civils de Lyon; Univ Lyon (L.M., T.B., A.P., C.C.D.S., M.O., G.B., N.N., T.-H.C.), CarMeN Laboratory, INSERM, INRA, University Lyon 1; CREATIS (N.D., C.F., Y.B.), CNRS UMR 5220, INSERM U1044, University Lyon 1; Neuroradiology Department (A.B.-S., Y.B., O.F.E.), Hospices Civils de Lyon; Cardiac Intensive Care Unit (T.B.), Hospices Civils de Lyon; Clinical Investigation Center (M.B., C.A., C.d.B., N.M., M.O.), INSERM 1407, Hospices Civils de Lyon; and Cellule Recherche Imagerie (M.B.), Hospices Civils de Lyon, France
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10
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van Voorst H, Konduri PR, van Poppel LM, van der Steen W, van der Sluijs PM, Slot EMH, Emmer BJ, van Zwam WH, Roos YBWEM, Majoie CBLM, Zaharchuk G, Caan MWA, Marquering HA. Unsupervised Deep Learning for Stroke Lesion Segmentation on Follow-up CT Based on Generative Adversarial Networks. AJNR Am J Neuroradiol 2022; 43:1107-1114. [PMID: 35902122 PMCID: PMC9575413 DOI: 10.3174/ajnr.a7582] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Accepted: 06/02/2022] [Indexed: 12/12/2022]
Abstract
BACKGROUND AND PURPOSE Supervised deep learning is the state-of-the-art method for stroke lesion segmentation on NCCT. Supervised methods require manual lesion annotations for model development, while unsupervised deep learning methods such as generative adversarial networks do not. The aim of this study was to develop and evaluate a generative adversarial network to segment infarct and hemorrhagic stroke lesions on follow-up NCCT scans. MATERIALS AND METHODS Training data consisted of 820 patients with baseline and follow-up NCCT from 3 Dutch acute ischemic stroke trials. A generative adversarial network was optimized to transform a follow-up scan with a lesion to a generated baseline scan without a lesion by generating a difference map that was subtracted from the follow-up scan. The generated difference map was used to automatically extract lesion segmentations. Segmentation of primary hemorrhagic lesions, hemorrhagic transformation of ischemic stroke, and 24-hour and 1-week follow-up infarct lesions were evaluated relative to expert annotations with the Dice similarity coefficient, Bland-Altman analysis, and intraclass correlation coefficient. RESULTS The median Dice similarity coefficient was 0.31 (interquartile range, 0.08-0.59) and 0.59 (interquartile range, 0.29-0.74) for the 24-hour and 1-week infarct lesions, respectively. A much lower Dice similarity coefficient was measured for hemorrhagic transformation (median, 0.02; interquartile range, 0-0.14) and primary hemorrhage lesions (median, 0.08; interquartile range, 0.01-0.35). Predicted lesion volume and the intraclass correlation coefficient were good for the 24-hour (bias, 3 mL; limits of agreement, -64-59 mL; intraclass correlation coefficient, 0.83; 95% CI, 0.78-0.88) and excellent for the 1-week (bias, -4 m; limits of agreement,-66-58 mL; intraclass correlation coefficient, 0.90; 95% CI, 0.83-0.93) follow-up infarct lesions. CONCLUSIONS An unsupervised generative adversarial network can be used to obtain automated infarct lesion segmentations with a moderate Dice similarity coefficient and good volumetric correspondence.
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Affiliation(s)
- H van Voorst
- From the Departments of Radiology and Nuclear Medicine (H.v.V., P.R.K., L.M.v.P., B.J.E., C.B.L.M.M., H.A.M.) .,Biomedical Engineering and Physics (H.v.V., P.R.K., L.M.v.P., M.W.A.C., H.A.M.)
| | - P R Konduri
- From the Departments of Radiology and Nuclear Medicine (H.v.V., P.R.K., L.M.v.P., B.J.E., C.B.L.M.M., H.A.M.).,Biomedical Engineering and Physics (H.v.V., P.R.K., L.M.v.P., M.W.A.C., H.A.M.)
| | - L M van Poppel
- From the Departments of Radiology and Nuclear Medicine (H.v.V., P.R.K., L.M.v.P., B.J.E., C.B.L.M.M., H.A.M.).,Biomedical Engineering and Physics (H.v.V., P.R.K., L.M.v.P., M.W.A.C., H.A.M.)
| | - W van der Steen
- Departments of Neurology (W.v.d.S., P.M.v.d.S.).,Radiology and Nuclear Medicine (W.v.d.S., P.M.v.d.S.), Erasmus University Medical Center, Rotterdam, the Netherlands
| | - P M van der Sluijs
- Departments of Neurology (W.v.d.S., P.M.v.d.S.).,Radiology and Nuclear Medicine (W.v.d.S., P.M.v.d.S.), Erasmus University Medical Center, Rotterdam, the Netherlands
| | - E M H Slot
- Department of Neurology and Neurosurgery (E.M.H.S.), University Medical Center Utrecht, Utrecht, the Netherlands
| | - B J Emmer
- From the Departments of Radiology and Nuclear Medicine (H.v.V., P.R.K., L.M.v.P., B.J.E., C.B.L.M.M., H.A.M.)
| | - W H van Zwam
- Department of Radiology and Nuclear Medicine (W.H.v.Z.), Maastricht University Medical Center, Maastricht, the Netherlands
| | - Y B W E M Roos
- Neurology (Y.B.W.E.M.R.), Faculty of Medicine, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands
| | - C B L M Majoie
- From the Departments of Radiology and Nuclear Medicine (H.v.V., P.R.K., L.M.v.P., B.J.E., C.B.L.M.M., H.A.M.)
| | - G Zaharchuk
- Department of Radiology (G.Z.), Stanford University, Stanford, California
| | - M W A Caan
- Biomedical Engineering and Physics (H.v.V., P.R.K., L.M.v.P., M.W.A.C., H.A.M.)
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11
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Outcome Prediction Based on Automatically Extracted Infarct Core Image Features in Patients with Acute Ischemic Stroke. Diagnostics (Basel) 2022; 12:diagnostics12081786. [PMID: 35892499 PMCID: PMC9331690 DOI: 10.3390/diagnostics12081786] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Revised: 07/09/2022] [Accepted: 07/18/2022] [Indexed: 11/18/2022] Open
Abstract
Infarct volume (FIV) on follow-up diffusion-weighted imaging (FU-DWI) is only moderately associated with functional outcome in acute ischemic stroke patients. However, FU-DWI may contain other imaging biomarkers that could aid in improving outcome prediction models for acute ischemic stroke. We included FU-DWI data from the HERMES, ISLES, and MR CLEAN-NO IV databases. Lesions were segmented using a deep learning model trained on the HERMES and ISLES datasets. We assessed the performance of three classifiers in predicting functional independence for the MR CLEAN-NO IV trial cohort based on: (1) FIV alone, (2) the most important features obtained from a trained convolutional autoencoder (CAE), and (3) radiomics. Furthermore, we investigated feature importance in the radiomic-feature-based model. For outcome prediction, we included 206 patients: 144 scans were included in the training set, 21 in the validation set, and 41 in the test set. The classifiers that included the CAE and the radiomic features showed AUC values of 0.88 and 0.81, respectively, while the model based on FIV had an AUC of 0.79. This difference was not found to be statistically significant. Feature importance results showed that lesion intensity heterogeneity received more weight than lesion volume in outcome prediction. This study suggests that predictions of functional outcome should not be based on FIV alone and that FU-DWI images capture additional prognostic information.
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