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      Improved visualisation of early cerebral infarctions after endovascular stroke therapy using dual-energy computed tomography oedema maps

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          Abstract

          Objective

          The aim was to investigate whether dual-energy computed tomography (DECT) reconstructions optimised for oedema visualisation (oedema map; EM) facilitate an improved detection of early infarctions after endovascular stroke therapy (EST).

          Methods

          Forty-six patients (21 women; 25 men; mean age: 63 years; range 24–89 years) were included. The brain window (BW), virtual non-contrast (VNC) and modified VNC series based on a three-material decomposition technique optimised for oedema visualisation (EM) were evaluated. Follow-up imaging was used as the standard for comparison. Contralateral side to infarction differences in density (CIDs) were determined. Infarction detectability was assessed by two blinded readers, as well as image noise and contrast using Likert scales. ROC analyses were performed and the respective Youden indices calculated for cut-off analysis.

          Results

          The highest CIDs were found in the EM series (73.3 ± 49.3 HU), compared with the BW (-1.72 ± 13.29 HU) and the VNC (8.30 ± 4.74 HU) series. The EM was found to have the highest infarction detection rates (area under the curve: 0.97 vs. 0.54 and 0.90, p < 0.01) with a cut-off value of < 50.7 HU, despite slightly more pronounced image noise. The location of the infarction did not affect detectability ( p > 0.05 each).

          Conclusions

          The EM series allows higher contrast and better early infarction detection than the VNC or BW series after EST.

          Key Points

          • Dual-energy CT EM allows better early infarction detection than standard brain window.

          • Dual-energy CT EM series allow better early infarction detection than VNC series.

          • Dual-energy CT EM are modified VNC based on water content of tissue.

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          Most cited references24

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          Youden Index and optimal cut-point estimated from observations affected by a lower limit of detection.

          The receiver operating characteristic (ROC) curve is used to evaluate a biomarker's ability for classifying disease status. The Youden Index (J), the maximum potential effectiveness of a biomarker, is a common summary measure of the ROC curve. In biomarker development, levels may be unquantifiable below a limit of detection (LOD) and missing from the overall dataset. Disregarding these observations may negatively bias the ROC curve and thus J. Several correction methods have been suggested for mean estimation and testing; however, little has been written about the ROC curve or its summary measures. We adapt non-parametric (empirical) and semi-parametric (ROC-GLM [generalized linear model]) methods and propose parametric methods (maximum likelihood (ML)) to estimate J and the optimal cut-point (c *) for a biomarker affected by a LOD. We develop unbiased estimators of J and c * via ML for normally and gamma distributed biomarkers. Alpha level confidence intervals are proposed using delta and bootstrap methods for the ML, semi-parametric, and non-parametric approaches respectively. Simulation studies are conducted over a range of distributional scenarios and sample sizes evaluating estimators' bias, root-mean square error, and coverage probability; the average bias was less than one percent for ML and GLM methods across scenarios and decreases with increased sample size. An example using polychlorinated biphenyl levels to classify women with and without endometriosis illustrates the potential benefits of these methods. We address the limitations and usefulness of each method in order to give researchers guidance in constructing appropriate estimates of biomarkers' true discriminating capabilities. Copyright 2008 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
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            Guidelines for the early management of patients with acute ischemic stroke: a guideline for healthcare professionals from the American Heart Association/American Stroke Association.

            The authors present an overview of the current evidence and management recommendations for evaluation and treatment of adults with acute ischemic stroke. The intended audiences are prehospital care providers, physicians, allied health professionals, and hospital administrators responsible for the care of acute ischemic stroke patients within the first 48 hours from stroke onset. These guidelines supersede the prior 2007 guidelines and 2009 updates. Members of the writing committee were appointed by the American Stroke Association Stroke Council's Scientific Statement Oversight Committee, representing various areas of medical expertise. Strict adherence to the American Heart Association conflict of interest policy was maintained throughout the consensus process. Panel members were assigned topics relevant to their areas of expertise, reviewed the stroke literature with emphasis on publications since the prior guidelines, and drafted recommendations in accordance with the American Heart Association Stroke Council's Level of Evidence grading algorithm. The goal of these guidelines is to limit the morbidity and mortality associated with stroke. The guidelines support the overarching concept of stroke systems of care and detail aspects of stroke care from patient recognition; emergency medical services activation, transport, and triage; through the initial hours in the emergency department and stroke unit. The guideline discusses early stroke evaluation and general medical care, as well as ischemic stroke, specific interventions such as reperfusion strategies, and general physiological optimization for cerebral resuscitation. Because many of the recommendations are based on limited data, additional research on treatment of acute ischemic stroke remains urgently needed.
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              Dual- and Multi-Energy CT: Principles, Technical Approaches, and Clinical Applications.

              In x-ray computed tomography (CT), materials having different elemental compositions can be represented by identical pixel values on a CT image (ie, CT numbers), depending on the mass density of the material. Thus, the differentiation and classification of different tissue types and contrast agents can be extremely challenging. In dual-energy CT, an additional attenuation measurement is obtained with a second x-ray spectrum (ie, a second "energy"), allowing the differentiation of multiple materials. Alternatively, this allows quantification of the mass density of two or three materials in a mixture with known elemental composition. Recent advances in the use of energy-resolving, photon-counting detectors for CT imaging suggest the ability to acquire data in multiple energy bins, which is expected to further improve the signal-to-noise ratio for material-specific imaging. In this review, the underlying motivation and physical principles of dual- or multi-energy CT are reviewed and each of the current technical approaches is described. In addition, current and evolving clinical applications are introduced.
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                Author and article information

                Contributors
                +4351250427095 , tanja.djurdjevic@i-med.ac.at
                Journal
                Eur Radiol
                Eur Radiol
                European Radiology
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                0938-7994
                1432-1084
                4 May 2018
                4 May 2018
                2018
                : 28
                : 11
                : 4534-4541
                Affiliations
                [1 ]ISNI 0000 0000 8853 2677, GRID grid.5361.1, Department of Neuroradiology, , Medical University of Innsbruck, ; Anichstraße 35, 6020 Innsbruck, Austria
                [2 ]ISNI 0000000121901201, GRID grid.83440.3b, Institute of Neurology, , University College London, ; London, UK
                [3 ]ISNI 0000000121885934, GRID grid.5335.0, Department of Radiology, , University of Cambridge, ; Cambridge, UK
                [4 ]ISNI 0000 0000 8853 2677, GRID grid.5361.1, Department of Neurology, , Medical University of Innsbruck, ; Innsbruck, Austria
                [5 ]ISNI 0000 0000 8853 2677, GRID grid.5361.1, Department of Radiology, , Medical University of Innsbruck, ; Innsbruck, Austria
                Author information
                http://orcid.org/0000-0003-3524-8332
                Article
                5449
                10.1007/s00330-018-5449-4
                6182745
                29728814
                d742cfca-c4ce-45dc-a9c9-67b1c880de6d
                © The Author(s) 2018

                Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

                History
                : 26 September 2017
                : 23 February 2018
                : 23 March 2018
                Funding
                Funded by: University of Innsbruck and Medical University of Innsbruck
                Categories
                Computed Tomography
                Custom metadata
                © European Society of Radiology 2018

                Radiology & Imaging
                dual-energy ct,cerebral infarction,computed tomography,stroke,thrombectomy
                Radiology & Imaging
                dual-energy ct, cerebral infarction, computed tomography, stroke, thrombectomy

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