Observational studyBMC neurology2014
Prediction of outcome in patients with suspected acute ischaemic stroke with CT perfusion and CT angiography: the Dutch acute stroke trial (DUST) study protocol.
Observational study in BMC neurology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
32 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Clinical prediction of thrombectomy eligibility: A systematic review and 4-item decision tree.International journal of stroke : official journal of the International Stroke Society · 2019Pooled it
- Trial
- 3D movement correction of CT brain perfusion image data of patients with acute ischemic stroke.Neuroradiology · 2014Trial
- Standardizing the estimation of ischemic regions can harmonize CT perfusion stroke imaging.European radiology · 2024Article
- Spatial CT perfusion data helpful in automatically locating vessel occlusions for acute ischemic stroke patients.Frontiers in neurology · 2023Article
- The Combination of Whole-Brain Features and Local-Lesion Features in DSC-PWI May Improve Ischemic Stroke Outcome Prediction.Life (Basel, Switzerland) · 2022Article
- Probability maps classify ischemic stroke regions more accurately than CT perfusion summary maps.European radiology · 2022Article
- Variation in arterial input function in a large multicenter computed tomography perfusion study.European radiology · 2021Article
- Sex differences in intracranial and extracranial atherosclerosis in patients with acute ischemic stroke.International journal of stroke : official journal of the International Stroke Society · 2021Article
- Early detection of small volume stroke and thromboembolic sources with computed tomography: Rationale and design of the ENCLOSE study.European stroke journal · 2020Article
- Diagnostic accuracy of computed tomography perfusion in the prediction of haemorrhagic transformation and patient outcome in acute ischaemic stroke: A systematic review and meta-analysis.European stroke journal · 2020Review
- Posterior circulation ischemic stroke-a review part II: imaging and acute treatment.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2019Review
- Identifying perfusion deficits on CT perfusion images using temporal similarity perfusion (TSP) mapping.European radiology · 2019Article
- Circle of Willis variations in migraine patients with ischemic stroke.Brain and behavior · 2019Article
- Consensus statement on current and emerging methods for the diagnosis and evaluation of cerebrovascular disease.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2018Review
- Internal Carotid Artery Stenosis and Collateral Recruitment in Stroke Patients.Clinical neuroradiology · 2018Observational
- Hippocampal calcification on brain CT: prevalence and risk factors in a cerebrovascular cohort.European radiology · 2018Article
- Computed Tomography Perfusion Derived Blood-Brain Barrier Permeability Does Not Yet Improve Prediction of Hemorrhagic Transformation.Cerebrovascular diseases (Basel, Switzerland) · 2018Article
- Wake-Up Stroke versus Stroke with Known Onset Time: Clinical and Multimodality CT Imaging Characteristics.Cerebrovascular diseases (Basel, Switzerland) · 2018Observational
- Morphological characteristics of diffuse idiopathic skeletal hyperostosis in the cervical spine.PloS one · 2017Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPrediction of clinical outcome in the acute stage of ischaemic stroke can be difficult when based on patient characteristics, clinical findings and on non-contrast CT. CT perfusion and CT angiography may provide additional prognostic information and guide treatment in the early stage. We present the study protocol of the Dutch acute Stroke Trial (DUST). The DUST aims to assess the prognostic value of CT perfusion and CT angiography in predicting stroke outcome, in addition to patient characteristics and non-contrast CT. For this purpose, individualised prediction models for clinical outcome after stroke based on the best predictors from patient characteristics and CT imaging will be developed and validated. METHODS/
designThe DUST is a prospective multi-centre cohort study in 1500 patients with suspected acute ischaemic stroke. All patients undergo non-contrast CT, CT perfusion and CT angiography within 9 hours after onset of the neurological deficits, and, if possible, follow-up imaging after 3 days. The primary outcome is a dichotomised score on the modified Rankin Scale, assessed at 90 days. A score of 0-2 represents good outcome, and a score of 3-6 represents poor outcome. Three logistic regression models will be developed, including patient characteristics and non-contrast CT (model A), with addition of CT angiography (model B), and CT perfusion parameters (model C). Model derivation will be performed in 60% of the study population, and model validation in the remaining 40% of the patients. Additional prognostic value of the models will be determined with the area under the curve (AUC) from the receiver operating characteristic (ROC) curve, calibration plots, assessment of goodness-of-fit, and likelihood ratio tests. DISCUSSION: This study will provide insight in the added prognostic value of CTP and CTA parameters in outcome prediction of acute stroke patients. The prediction models that will be developed in this study may help guide future treatment decisions in the acute stage of ischaemic stroke.
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