about
Data considerations in ischemic stroke trialsPerfusion computed tomography to assist decision making for stroke thrombolysisFinal infarct volume discriminates outcome in mild strokesImaging 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 developmentIdentifying 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 occlusionIs 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 StrokeIdentification of imaging selection patterns in acute ischemic stroke patients and the influence on treatment and clinical trial enrollment decision makingReliability 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 LabelingThe 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 witArterial 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.
P2860
Q27022605-AD36E1D3-A2D0-4DC6-A05D-74EA7786BACEQ28607578-5970A6EB-D203-4FBE-97F5-4F4FD080135DQ30357410-ECEA8315-475F-43ED-BD0E-2C3FF6CEE39BQ30831710-285EA816-FF85-4006-8429-0A88168617DDQ30966106-CFEA5198-9FFD-4078-AEC6-CE5F79DAF8A0Q31047368-83281628-B371-4C4C-88A1-283E3A5F1EABQ33924956-E50E82C4-65AC-4B12-91F8-43F8E7EE2FB3Q34031098-A805DACE-C7B7-433C-AD38-3F471EB043EBQ34150257-8C6048DB-D361-4B53-A0BF-A62AE4D06FB0Q34648114-F89F1414-B20B-4FFC-8D5C-BB8E4BF8AC75Q34842471-36490C55-864B-4295-9211-45E8167D141AQ35114217-46E288DF-6904-4D1D-A606-E8121059A6D1Q35196043-84D298C6-6877-45B1-83F7-E1E39AE3330EQ35339637-2CC97466-CAD1-4AFF-8F85-A27B144CDAF8Q35592560-F3FF2B72-C86C-44D2-8993-57476C158234Q35831982-CA0539D9-94F1-4464-A474-C0169D9EF1C2Q35897374-5A214E60-A221-450F-86D7-A169C046BECEQ35925424-675386AD-B4C6-4A34-BC9E-75C7AB03FF43Q36317835-DB880642-9EE7-4354-B55D-A34F2AC1D759Q37466749-E40428BA-AEED-4EC9-9167-A53746D00158Q37524051-90EFCF20-B720-4548-A28B-E6216218B2F1Q37554924-C7A61A10-7AC1-4BD6-A23D-5AF660285D89Q37606730-17312747-7A8C-4164-8A2A-9E613825583FQ37682013-8C88E8BF-5A20-4319-A3B1-F384EFA302B6Q38260555-0369C76D-AD45-4C91-8546-DD726FF2E3DDQ38261013-43A90061-DE54-4E5F-B792-799F6DA96B9EQ38496994-A15C267D-F770-4B99-9BF1-2C15A4ECF0B8Q38770016-544110ED-B7AC-410A-A1A0-4778F7A0C0B4Q38881870-4351CA0B-317F-4618-A6D4-52EB893A7A5EQ39228053-8E6840FF-9D1F-430E-8CC2-A7833E87A4D6Q40204835-05AFD1E1-BE00-48F7-8AFD-502CF77E70DCQ40339378-52CF034A-FF21-4FBF-98A9-2044F013DBD9Q40372120-1C4CCE2F-3F66-4A61-8CEA-15458F00FDF6Q40389606-D901B186-9889-425F-BE5A-CF78720F53E5Q41965504-B7F568B9-7B62-459A-9BCE-16B807FD531BQ45932823-7CC1A074-2D93-48D7-AEDA-1D39FC155906Q46111380-A51304F0-3658-4958-8C9A-D1541B37E9B7Q46180277-3F5B0751-B9C1-4CA4-98E0-6BE90A7122C7Q46612385-3F761AEB-D5E8-47C7-8632-AC08B71091D1Q47958706-6772A9C1-763C-42C9-A784-4FA8BEFD1241
P2860
description
2013 nî lūn-bûn
@nan
2013 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Acute Stroke Imaging Research Roadmap II.
@ast
Acute Stroke Imaging Research Roadmap II.
@en
type
label
Acute Stroke Imaging Research Roadmap II.
@ast
Acute Stroke Imaging Research Roadmap II.
@en
altLabel
Acute Stroke Imaging Research Roadmap II
@en
prefLabel
Acute Stroke Imaging Research Roadmap II.
@ast
Acute Stroke Imaging Research Roadmap II.
@en
P2093
P2860
P50
P921
P1433
P1476
Acute Stroke Imaging Research Roadmap II.
@en
P2093
Albert J Yoo
Andrew M Demchuk
Anthony J Furlan
Bijoy K Menon
Bruce C V Campbell
Chelsea Kidwell
Christian H Riedel
David S Liebeskind
E Clarke Haley
Fernando Calamante
P2860
P304
P356
10.1161/STROKEAHA.113.002015
P407
P50
P577
2013-07-16T00:00:00Z