ReviewCurrent atherosclerosis reports2013
Use of perfusion imaging and other imaging techniques to assess risks/benefits of acute stroke interventions.
Review in Current atherosclerosis reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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
10 citing papers in PubMed.
- Utilization of Emergent Neuroimaging for Thrombolysis-Eligible Stroke Patients.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2017Trial
- Perfusion imaging parameters predict long-term clinical outcome in isolated posterior cerebral artery occlusion stroke patients.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2025Article
- Association of Pretreatment Perfusion Imaging Parameters with 90-Day Excellent Functional Outcomes in Anterior Circulation Distal Medium Vessel Occlusion Stroke.AJNR. American journal of neuroradiology · 2025Article
- Stroke rehabilitation: from diagnosis to therapy.Frontiers in neurology · 2024Review
- Development of machine learning models for predicting outcome in patients with distal medium vessel occlusions: a retrospective study.Quantitative imaging in medicine and surgery · 2023Article
- Vascular vertigo and dizziness: Diagnostic criteria.Journal of vestibular research : equilibrium & orientation · 2022Article
- Defining Ischemic Core in Acute Ischemic Stroke Using CT Perfusion: A Multiparametric Bayesian-Based Model.AJNR. American journal of neuroradiology · 2019Article
- Association Between Net Vertebral Artery Flow Volume and Non-AF Stroke: A Retrospective 2-Year Analysis.Frontiers in neurology · 2018Article
- Image More to Save More.Frontiers in neurology · 2015Review
- Characteristics of Misclassified CT Perfusion Ischemic Core in Patients with Acute Ischemic Stroke.PloS one · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
The advent of multimodal neuroimaging has provided acute stroke care providers with an armamentarium of sophisticated imaging options to utilize for guidance in clinical decision-making and management of acute ischemic stroke patients. Here, we propose a framework and potential algorithm-based methodology for imaging modality selection and utilization for the purpose of achieving optimal stroke clinical care. We first review imaging options that may best inform decision-making regarding revascularization eligibility, with a focus on the imaging modalities that best identify critical inclusion and exclusion criteria. Next, we review imaging methods that may guide the successful achievement of revascularization once it has been deemed desirable and feasible. Further, we review imaging modalities that may best assist in both the noninterventional care of acute stroke as well as the identification of stroke-mimics. Finally, we review imaging techniques under current investigation that show promise to improve future acute stroke management.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.