Acute Stroke Imaging Research Roadmap II. - Test2 - elhamkhani - TriplyDB

Acute Stroke Imaging Research Roadmap II.

Acute Stroke Imaging Research Roadmap II.

http://www.wikidata.org/entity/Q30411115

about

Data considerations in ischemic stroke trials Perfusion computed tomography to assist decision making for stroke thrombolysis Final infarct volume discriminates outcome in mild strokes Imaging of acute stroke prior to treatment: current practice and evolving techniques.Imaging in StrokeNet: Realizing the Potential of Big Data.Safety and Efficacy of Solitaire Stent Thrombectomy: Individual Patient Data Meta-Analysis of Randomized Trials.Imaging biomarkers in acute ischemic stroke trials: a systematic review.Wake-up stroke and stroke of unknown onset: a critical review.Impact of collaterals on successful revascularization in Solitaire FR with the intention for thrombectomy.Methods and challenges in quantitative imaging biomarker development Identifying the ischaemic penumbra using pH-weighted magnetic resonance imaging.Sensitivity and specificity of the hyperdense artery sign for arterial obstruction in acute ischemic stroke.Effect of extended CT perfusion acquisition time on ischemic core and penumbra volume estimation in patients with acute ischemic stroke due to a large vessel occlusion Is CT-Based Perfusion and Collateral Imaging Sensitive to Time Since Stroke Onset?International survey of acute stroke imaging used to make revascularization treatment decisions.Characteristics of Misclassified CT Perfusion Ischemic Core in Patients with Acute Ischemic Stroke Identification of imaging selection patterns in acute ischemic stroke patients and the influence on treatment and clinical trial enrollment decision making Reliability of CT perfusion-derived CBF in relation to hemodynamic compromise in patients with cerebrovascular steno-occlusive disease: a comparative study with 15O PET.Imaging Approaches to Stroke and Neurovascular Disease.A 4D CT digital phantom of an individual human brain for perfusion analysis.Quantification of Serial Cerebral Blood Flow in Acute Stroke Using Arterial Spin Labeling The combination of baseline magnetic resonance perfusion-weighted imaging-derived tissue volume with severely prolonged arterial-tissue delay and diffusion-weighted imaging lesion volume is predictive of MCA-M1 recanalization in patients treated wit Arterial Obstruction on Computed Tomographic or Magnetic Resonance Angiography and Response to Intravenous Thrombolytics in Ischemic Stroke.Optimizing image registration and infarct definition in stroke research.Imaging selection in ischemic stroke: feasibility of automated CT-perfusion analysis.Vessel occlusion, penumbra, and reperfusion - translating theory to practice.C-Arm Flat Detector CT Parenchymal Blood Volume Thresholds for Identification of Infarcted Parenchyma in the Neurointerventional Suite.Multimodal CT techniques for cerebrovascular and hemodynamic evaluation of ischemic stroke: occlusion, collaterals, and perfusion.Acute Stroke Imaging Research Roadmap III Imaging Selection and Outcomes in Acute Stroke Reperfusion Clinical Trials: Consensus Recommendations and Further Research Priorities.Added value of multimodal computed tomography imaging: analysis of 1994 acute ischaemic strokes.A 4D digital phantom for patient-specific simulation of brain CT perfusion protocols.Evaluation of diagnostic accuracy in CT perfusion analysis in moyamoya disease.Analysis of perfusion MRI in stroke: To deconvolve, or not to deconvolve.Fast nonlinear regression method for CT brain perfusion analysis.Acute stroke, Bayes' theorem and the art and science of emergency decision-making.MR Perfusion to Determine the Status of Collaterals in Patients with Acute Ischemic Stroke: A Look Beyond Time Maps.Performance of CT ASPECTS and Collateral Score in Risk Stratification: Can Target Perfusion Profiles Be Predicted without Perfusion Imaging?Performance and Predictive Value of a User-Independent Platform for CT Perfusion Analysis: Threshold-Derived Automated Systems Outperform Examiner-Driven Approaches in Outcome Prediction of Acute Ischemic Stroke.A multicenter, randomized, controlled study to investigate EXtending the time for Thrombolysis in Emergency Neurological Deficits with Intra-Arterial therapy (EXTEND-IA).Cerebral blood volume lesion extent predicts functional outcome in patients with vertebral and basilar artery occlusion.

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P2860

Acute Stroke Imaging Research Roadmap II.

http://www.wikidata.org/entity/Q30411115

description

2013 nî lūn-bûn

@nan

2013 թուականի Յուլիսին հրատարակուած գիտական յօդուած

@hyw

2013 թվականի հուլիսին հրատարակված գիտական հոդված

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2013年の論文

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2013年論文

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2013年論文

@zh-hant

2013年論文

@zh-hk

2013年論文

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2013年論文

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2013年论文

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Acute Stroke Imaging Research Roadmap II.

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STROKEAHA.113.002015

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P1476

Acute Stroke Imaging Research Roadmap II.

@en

P2093

Albert J Yoo

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Andrew M Demchuk

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Anthony J Furlan

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Bijoy K Menon

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Bruce C V Campbell

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Chelsea Kidwell

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Christian H Riedel

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David S Liebeskind

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E Clarke Haley

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Fernando Calamante

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P2860

The benefits and harms of intravenous thrombolysis with recombinant tissue plasminogen activator within 6 h of acute ischaemic stroke (the third international stroke trial [IST-3]): a randomised controlled trial

Dual antiplatelet therapy with clopidogrel and aspirin in symptomatic carotid stenosis evaluated using doppler embolic signal detection: the Clopidogrel and Aspirin for Reduction of Emboli in Symptomatic Carotid Stenosis (CARESS) trial

Recommendations on angiographic revascularization grading standards for acute ischemic stroke: a consensus statement.

Accuracy and reliability assessment of CT and MR perfusion analysis software using a digital phantom.

A trial of imaging selection and endovascular treatment for ischemic stroke

Clinical and imaging data at 5 days as a surrogate for 90-day outcome in ischemic stroke.

Change in diffusion-weighted imaging infarct volume predicts neurologic outcome at 90 days: results of the Acute Stroke Accurate Prediction (ASAP) trial serial imaging substudy.

Stroke assessment with diffusional kurtosis imaging

How useful is imaging in predicting outcomes in stroke rehabilitation?

Using the amide proton signals of intracellular proteins and peptides to detect pH effects in MRI.

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2628-2639

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scholarly article

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10.1161/STROKEAHA.113.002015

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9

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44

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Vincent N Thijs

Joanna M Wardlaw

Jeffrey L. Saver

Geoffrey A. Donnan

Colin P. Derdeyn

Andrei V. Alexandrov

Jochen B Fiebach

P577

2013-07-16T00:00:00Z

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256094139

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23860298

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computed tomography

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4040226

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