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  • 1
    In: The Lancet, Elsevier BV, Vol. 396, No. 10262 ( 2020-11), p. 1574-1584
    Type of Medium: Online Resource
    ISSN: 0140-6736
    RVK:
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2020
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    SSG: 5,21
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  • 2
    In: Stroke, Ovid Technologies (Wolters Kluwer Health), Vol. 51, No. 1 ( 2020-01), p. 209-215
    Abstract: Relative signal intensity of acute ischemic stroke lesions in fluid-attenuated inversion recovery (fluid-attenuated inversion recovery relative signal intensity [FLAIR-rSI]) magnetic resonance imaging is associated with time elapsed since stroke onset with higher intensities signifying longer time intervals. In the randomized controlled WAKE-UP trial (Efficacy and Safety of MRI-Based Thrombolysis in Wake-Up Stroke Trial), intravenous alteplase was effective in patients with unknown onset stroke selected by visual assessment of diffusion weighted imaging fluid-attenuated inversion recovery mismatch, that is, in those with no marked fluid-attenuated inversion recovery hyperintensity in the region of the acute diffusion weighted imaging lesion. In this post hoc analysis, we investigated whether quantitatively measured FLAIR-rSI modifies treatment effect of intravenous alteplase. Methods— FLAIR-rSI of stroke lesions was measured relative to signal intensity in a mirrored region in the contralesional hemisphere. The relationship between FLAIR-rSI and treatment effect on functional outcome assessed by the modified Rankin Scale (mRS) after 90 days was analyzed by binary logistic regression using different end points, that is, favorable outcome defined as mRS score of 0 to 1, independent outcome defined as mRS score of 0 to 2, ordinal analysis of mRS scores (shift analysis). All models were adjusted for National Institutes of Health Stroke Scale at symptom onset and stroke lesion volume. Results— FLAIR-rSI was successfully quantified in stroke lesions in 433 patients (86% of 503 patients included in WAKE-UP). Mean FLAIR-rSI was 1.06 (SD, 0.09). Interaction of FLAIR-rSI and treatment effect was not significant for mRS score of 0 to 1 ( P =0.169) and shift analysis ( P =0.086) but reached significance for mRS score of 0 to 2 ( P =0.004). We observed a smooth continuing trend of decreasing treatment effects in relation to clinical end points with increasing FLAIR-rSI. Conclusions— In patients in whom no marked parenchymal fluid-attenuated inversion recovery hyperintensity was detected by visual judgement in the WAKE-UP trial, higher FLAIR-rSI of diffusion weighted imaging lesions was associated with decreased treatment effects of intravenous thrombolysis. This parallels the known association of treatment effect and elapsing time of stroke onset.
    Type of Medium: Online Resource
    ISSN: 0039-2499 , 1524-4628
    RVK:
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2020
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  • 3
    In: Stroke, Ovid Technologies (Wolters Kluwer Health), Vol. 52, No. 7 ( 2021-07), p. 2338-2346
    Abstract: We aimed to investigate fluid-attenuated inversion recovery changes in the penumbra. Methods: We determined core and perfusion lesions in subjects from the WAKE-UP trial (Efficacy and Safety of MRI-Based Thrombolysis in Wake-Up Stroke) and AXIS 2 trial (Granulocyte Colony-Stimulating Factor in Patients With Acute Ischemic Stroke) with perfusion- and diffusion-weighted imaging at baseline. Only subjects with a mismatch volume 〉 15 mL and ratio 〉 1.2 were included. We created voxel-based relative fluid-attenuated inversion recovery signal intensity (rFLAIR SI) maps at baseline and follow-up. We studied rFLAIR SI in 2 regions of interest: baseline penumbra (baseline perfusion lesion−[core lesion+voxels with apparent diffusion coefficient 〈 620 10 −6 mm 2 /s]) and noninfarcted penumbra (baseline perfusion lesion−follow-up fluid-attenuated inversion recovery lesion) at 24 hours (WAKE-UP) or 30 days (AXIS 2). We analyzed the association between rFLAIR SI and severity of hypoperfusion, defined as time to maximum of the residue function. Results: In the baseline penumbra, rFLAIR SI was elevated (ratio, 1.04; P =1.7×10 − 13 ; n=126) and correlated with severity of hypoperfusion (Pearson r, 0.03; P 〈 1.0×10 − 4 ; n=126). In WAKE-UP, imaging at 24 hours revealed a further increase of rFLAIR SI in the noninfarcted penumbra (ratio, 1.05 at 24 hours versus 1.03 at baseline; P =7.1×10 −3 ; n=43). In AXIS 2, imaging at 30 days identified reversibility of the rFLAIR SI (ratio, 1.02 at 30 days versus 1.04 at baseline; P =1.5×10 −3 ; n=26) since it was no longer different from 1 (ratio, 1.01 at 30 days; P =0.099; n=26). Conclusions: Penumbral rFLAIR SI increases appear early after stroke onset, correlate with severity of hypoperfusion, further increase at 24 hours, and are reversible by 30 days. Registration: URL: https://clinicaltrials.gov ; Unique identifier: NCT01525290. URL: https://clinicaltrials.gov ; Unique identifier: NCT00927836.
    Type of Medium: Online Resource
    ISSN: 0039-2499 , 1524-4628
    RVK:
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2021
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  • 4
    In: Stroke, Ovid Technologies (Wolters Kluwer Health), Vol. 53, No. 5 ( 2022-05), p. 1665-1673
    Abstract: Visual rating of diffusion-weighted imaging (DWI)–fluid-attenuated inversion recovery (FLAIR) mismatch can be challenging. We evaluated quantification of DWI and FLAIR to predict DWI-FLAIR mismatch status in ischemic stroke. Methods: In screened patients from the WAKE-UP trial (Efficacy and Safety of Magnetic Resonance Imaging-Based Thrombolysis in Wake-Up Stroke), we retrospectively studied relative DWI (rDWI SI) and FLAIR signal intensity (rFLAIR SI). We defined the optimal mean rFLAIR SI and interquartile range of the rDWI SI in the DWI lesion to predict DWI-FLAIR mismatch status. We investigated agreement between each quantitative parameter and the DWI-FLAIR mismatch and the association between both quantitative parameters. We evaluated the predictive value of the quantitative parameters for excellent functional outcome by logistic regression, adjusted for DWI lesion volume, treatment, age, and National Institutes of Health Stroke Scale score. Results: In the rFLAIR and rDWI SI analysis, 213/369 and 241/421 subjects respectively had a DWI-FLAIR mismatch. A mean rFLAIR SI cutoff of 1.09 and interquartile range rDWI SI cutoff of 0.47 were optimal to predict the DWI-FLAIR mismatch with a sensitivity and specificity of 77% (95% CI, 71%–83%) and 67% (95% CI, 59%–74%), and 76% (95% CI, 70%–81%) and 72% (95% CI, 65%–79%), respectively. For both quantitative parameters, agreement with the DWI-FLAIR mismatch was fair (73%, κ=0.44 [95% CI, 0.35–0.54] for rFLAIR and 74%, κ=0.48 [95% CI, 0.39–0.56] for rDWI). Both quantitative parameters correlated moderately (Pearson R=0.54 [95% CI, 0.46–0.61]; P 〈 0.001, n=367). The interquartile range rDWI SI (n=188), but not the mean rFLAIR SI (n=172), was an independent predictor of excellent functional outcome (odds ratio, 0.67 per 0.1 unit increase of interquartile range rDWI SI, 95% CI, 0.51–0.89, P =0.01). Conclusions: Agreement between the quantitative and qualitative approach may be insufficient to advocate DWI or FLAIR quantification as alternative for visual rating.
    Type of Medium: Online Resource
    ISSN: 0039-2499 , 1524-4628
    RVK:
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2022
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  • 5
    In: Stroke, Ovid Technologies (Wolters Kluwer Health), Vol. 54, No. 6 ( 2023-06), p. 1560-1568
    Abstract: Reversibility of the diffusion-weighted imaging (DWI) lesion means that not all of the DWI lesion represents permanently injured tissue. We investigated DWI reversibility and the association with thrombolysis, reperfusion and functional outcome in patients from the WAKE-UP trial (Efficacy and Safety of Magnetic Resonance Imaging–Based Thrombolysis in Wake-Up Stroke). Methods: In this retrospective analysis of WAKE-UP, a randomized controlled trial (RCT) between September 2012 and June 2017 in Belgium, Denmark, France, Germany, Spain and United Kingdom, a convolutional neural network segmented the DWI lesions (b=1000 s/mm 2 ) at baseline and follow-up (24 hours). We calculated absolute and relative DWI reversibility in 2 ways: first, a volumetric (baseline volume−24-hour volume 〉 0) and second, a voxel-based (part of baseline lesion not overlapping with 24-hour lesion) approach. We additionally defined relative voxel-based DWI-reversibility 〉 50% to account for coregistration inaccuracies. We calculated the odds ratio for reversibility according to treatment arm. We analyzed the association of reversibility with excellent functional outcome (modified Rankin Scale score of 0–1), in a multivariable model. Results: In 363 patients, the median DWI volume was 3 (1–10) mL at baseline and 6 (2–20) mL at follow-up. Volumetric DWI reversibility was present in 19% (69/363) with a median absolute reversible volume of 1 mL (0–2) or 28% (14–50) relatively. Voxel-based DWI reversibility was present in 358/363 (99%) with a median absolute volume of 1 mL (0–2), or 22% (9–38) relatively. In 18% of the patients (67/363), relative voxel-based DWI reversibility 〉 50% was present. Volumetric DWI reversibility and relative voxel-based DWI reversibility 〉 50% was more frequent in patients treated with alteplase versus placebo (OR, 1.86 [95% CI, 1.09–3.17] and OR, 2.03 [95% CI, 1.18–3.50] , respectively). Relative voxel-based DWI reversibility 〉 50% was associated with excellent functional outcome (OR, 2.30 [95% CI, 1.17–4.51]). Conclusions: Small absolute volumes of DWI reversibility were present in a large proportion of randomized patients in the WAKE-UP trial. Reversibility was more often present after thrombolysis.
    Type of Medium: Online Resource
    ISSN: 0039-2499 , 1524-4628
    RVK:
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2023
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  • 6
    In: Scientific Reports, Springer Science and Business Media LLC, Vol. 11, No. 1 ( 2021-06-29)
    Abstract: Stroke has a deleterious impact on quality of life. However, it is less well known if stroke lesions in different brain regions are associated with reduced quality of life (QoL). We therefore investigated this association by multivariate lesion-symptom mapping. We analyzed magnetic resonance imaging and clinical data from the WAKE-UP trial. European Quality of Life 5 Dimensions (EQ-5D) 3 level questionnaires were completed 90 days after stroke. Lesion symptom mapping was performed using a multivariate machine learning algorithm (support vector regression) based on stroke lesions 22–36 h after stroke. Brain regions with significant associations were explored in reference to white matter tracts. Of 503 randomized patients, 329 were included in the analysis (mean age 65.4 years, SD 11.5; median NIHSS = 6, IQR 4–9; median EQ-5D score 90 days after stroke 1, IQR 0–4, median lesion volume 3.3 ml, IQR 1.1–16.9 ml). After controlling for lesion volume, significant associations between lesions and EQ-5D score were detected for the right putamen, and internal capsules of both hemispheres. Multivariate lesion inference analysis revealed an association between injuries of the cortico-spinal tracts with worse self-reported quality of life 90 days after stroke in comparably small stroke lesions, extending previous reports of the association of striato-capsular lesions with worse functional outcome. Our findings are of value to identify patients at risk of impaired QoL after stroke.
    Type of Medium: Online Resource
    ISSN: 2045-2322
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
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  • 7
    In: Brain Communications, Oxford University Press (OUP), Vol. 3, No. 3 ( 2021-07-01)
    Abstract: Lesion analysis is a fundamental and classical approach for inferring the causal contributions of brain regions to brain function. However, many studies have been limited by the shortcomings of methodology or clinical data. Aiming to overcome these limitations, we here use an objective multivariate approach based on game theory, Multi-perturbation Shapley value Analysis, in conjunction with data from a large cohort of 394 acute stroke patients, to derive causal contributions of brain regions to four principal functional components of the widely used National Institutes of Health Stroke Score measure. The analysis was based on a high-resolution parcellation of the brain into 294 grey and white matter regions. Through initial lesion symptom mapping for identifying all potential candidate regions and repeated iterations of the game-theoretical approach to remove non-significant contributions, the analysis derived the smallest sets of regions contributing to each of the four principal functional components as well as functional interactions among the regions. Specifically, the factor ‘language and consciousness’ was related to contributions of cortical regions in the left hemisphere, including the prefrontal gyrus, the middle frontal gyrus, the ventromedial putamen and the inferior frontal gyrus. Right and left motor functions were associated with contributions of the left and right dorsolateral putamen and the posterior limb of the internal capsule, correspondingly. Moreover, the superior corona radiata and the paracentral lobe of the right hemisphere as well as the right caudal area 23 of the cingulate gyrus were mainly related to left motor function, while the prefrontal gyrus, the external capsule and the sagittal stratum fasciculi of the left hemisphere contributed to right motor function. Our approach demonstrates a practically feasible strategy for applying an objective lesion inference method to a high-resolution map of the human brain and distilling a small, characteristic set of grey and white matter structures contributing to fundamental brain functions. In addition, we present novel findings of synergistic interactions between brain regions that provide insight into the functional organization of brain networks.
    Type of Medium: Online Resource
    ISSN: 2632-1297
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2021
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  • 8
    In: International Journal of Stroke, SAGE Publications, Vol. 17, No. 3 ( 2022-03), p. 323-330
    Abstract: Fluid-attenuated inversion recovery (FLAIR) sequences have gained a role to guide treatment of patients with unknown time of stroke symptom onset. Evolution of signal intensities in FLAIR is associated with time since stroke onset with continuous linear increases. Aims Estimating symptom onset during night-sleep in patients from the WAKE-UP trial based on relative signal intensities FLAIR (FLAIR-rSI) from acute stroke lesions an independent dataset (PRE-FLAIR study). Methods FLAIR-rSI was quantified in stroke lesions in PRE-FLAIR and WAKE-UP. The PRE-FLAIR study was a multicenter observational trial establishing FLAIR as a surrogate parameter for time since stroke onset. WAKE-UP was a randomized controlled trial that revealed a benefit for alteplase in patients selected based on a DWI-FLAIR mismatch. Stroke onset times were recorded in PRE-FLAIR and used to fit a linear regression model with FLAIR-rSI, adjusted for patient age and lesion volume. The model was applied to FLAIR-rSI of stroke lesions to estimate onset times in those patients enrolled in WAKE-UP who had symptom onset during night-sleep. Results FLAIR-rSI was quantified in 399 patients from PRE-FLAIR. Linear regression indicated a significant association of age ( p = 0.001), lesion volume ( p = 0.005) and FLAIR-rSI ( p  〈  0.001) with time since symptom onset (adjusted R 2  = 0.179). In 813 patients from WAKE-UP, distribution of times of last seen well, symptom recognition and MRI examination were recorded. Median times of last seen well were 1 h before midnight (IQR 2.4 h) and symptom recognition 7 h after midnight (IRQ 2.2 h). Based on the FLAIR-rSI profiles, we estimated median stroke onset 6.1 h after midnight (IQR 2.7 h). Conclusion Nocturnal strokes during night-sleep may predominantly occur during the early morning hours. Our results are in line with evidence of characteristic diurnal patterns of cardiovascular events.
    Type of Medium: Online Resource
    ISSN: 1747-4930 , 1747-4949
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2022
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  • 9
    In: Human Brain Mapping, Wiley, Vol. 43, No. 16 ( 2022-11), p. 5053-5065
    Abstract: The symptoms of acute ischemic stroke can be attributed to disruption of the brain network architecture. Systemic thrombolysis is an effective treatment that preserves structural connectivity in the first days after the event. Its effect on the evolution of global network organisation is, however, not well understood. We present a secondary analysis of 269 patients from the randomized WAKE‐UP trial, comparing 127 imaging‐selected patients treated with alteplase with 142 controls who received placebo. We used indirect network mapping to quantify the impact of ischemic lesions on structural brain network organisation in terms of both global parameters of segregation and integration, and local disruption of individual connections. Network damage was estimated before randomization and again 22 to 36 h after administration of either alteplase or placebo. Evolution of structural network organisation was characterised by a loss in integration and gain in segregation, and this trajectory was attenuated by the administration of alteplase. Preserved brain network organization was associated with excellent functional outcome. Furthermore, the protective effect of alteplase was spatio‐topologically nonuniform, concentrating on a subnetwork of high centrality supported in the salvageable white matter surrounding the ischemic cores. This interplay between the location of the lesion, the pathophysiology of the ischemic penumbra, and the spatial embedding of the brain network explains the observed potential of thrombolysis to attenuate topological network damage early after stroke. Our findings might, in the future, lead to new brain network‐informed imaging biomarkers and improved prognostication in ischemic stroke.
    Type of Medium: Online Resource
    ISSN: 1065-9471 , 1097-0193
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2022
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  • 10
    In: Annals of Neurology, Wiley, Vol. 87, No. 6 ( 2020-06), p. 931-938
    Abstract: To explore the prevalence of the perfusion‐weighted imaging (PWI)–diffusion‐weighted imaging (DWI) mismatch and response to intravenous thrombolysis in the WAKE‐UP trial. Methods We performed a prespecified post hoc analysis of ischemic stroke patients screened for DWI–fluid‐attenuated inversion recovery (FLAIR) mismatch in WAKE‐UP who underwent PWI. We defined PWI‐DWI mismatch as ischemic core volume  〈  70ml, mismatch volume  〉  10ml, and mismatch ratio  〉  1.2. Primary efficacy end point was a modified Rankin Scale score of 0–1 at 90 days, adjusted for age and symptom severity. Results Of 1,362 magnetic resonance imaging–screened patients, 431 underwent PWI. Of these, 57 (13%) had a double mismatch, 151 (35%) only a DWI‐FLAIR mismatch, and 54 (13%) only a PWI‐DWI mismatch. DWI‐FLAIR mismatch was more prevalent than PWI‐DWI mismatch (48%, 95% confidence interval [CI] = 43–53% vs 26%, 95% CI = 22–30%; p   〈  0.0001). Screening for either one of the mismatch profiles resulted in a yield of 61% (95% CI = 56–65%). Prevalence of PWI‐DWI mismatch was similar in patients with (27%) or without (24%) DWI‐FLAIR mismatch ( p = 0.52). In an exploratory analysis in the small subgroup of 208 randomized patients with PWI, PWI‐DWI mismatch status did not modify the treatment response ( p for interaction = 0.73). Interpretation Evaluating both the DWI‐FLAIR and PWI‐DWI mismatch patterns in patients with unknown time of stroke onset will result in the highest yield of thrombolysis treatment. The treatment benefit of alteplase in patients with a DWI‐FLAIR mismatch seems to be driven not merely by the presence of a PWI‐DWI mismatch, although this analysis was underpowered. ANN NEUROL 2020;87:931–938
    Type of Medium: Online Resource
    ISSN: 0364-5134 , 1531-8249
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2020
    detail.hit.zdb_id: 2037912-2
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