ReviewJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism2010
Use of magnetic resonance imaging to predict outcome after stroke: a review of experimental and clinical evidence.
Review in Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 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
36 citing papers in PubMed, 75 citations in OpenAlex.
- Trial
- Automated core-penumbra quantification in neonatal ischemic brain injury.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2012Trial
- Neuroengineering approaches assessing structural and functional changes of motor descending pathways in stroke.Progress in biomedical engineering (Bristol, England) · 2025Review
- Predictive value of follow-up infarct volume on functional outcomes in middle cerebral artery M2 segment vessel occlusion stroke treated with mechanical thrombectomy.European stroke journal · 2025Article
- Follow-up infarct volume on fluid attenuated inversion recovery (FLAIR) imaging in distal medium vessel occlusions: the role of cerebral blood volume index.Journal of neurology · 2024Article
- Network Reorganization for Neurophysiological and Behavioral Recovery Following Stroke.Central nervous system agents in medicinal chemistry · 2024Review
- Predictive value of ischemia location on multimodal CT in thrombectomy-treated patients.The neuroradiology journal · 2023Article
- Post-reperfusion acute MR diffusion in stroke is a potential predictor for clinical outcome in rats.Scientific reports · 2023Article
- Beyond Diffusion Tensor MRI Methods for Improved Characterization of the Brain after Ischemic Stroke: A Review.AJNR. American journal of neuroradiology · 2022Review
- Resting State EEG Directed Functional Connectivity Unveils Changes in Motor Network Organization in Subacute Stroke Patients After Rehabilitation.Frontiers in physiology · 2022Article
- Lesion Size- and Location-Dependent Recruitment of Contralesional Thalamus and Motor Cortex Facilitates Recovery after Stroke in Mice.Translational stroke research · 2021Article
- An overview of fractional anisotropy as a reliable quantitative measurement for the corticospinal tract (CST) integrity in correlation with a Fugl-Meyer assessment in stroke rehabilitation.Journal of physical therapy science · 2021Review
- Accuracy and practical aspects of semi- and fully automatic segmentation methods for resected brain areas.Neuroradiology · 2020Article
- Associations Between Diffusion Dynamics and Functional Outcome in Acute and Early Subacute Ischemic Stroke.Clinical neuroradiology · 2020Article
- Infarct topography and functional outcomes.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2018Review
- A magnetic resonance imaging study of early brain injury in a rat model of acute DFP intoxication.Neurotoxicology · 2018Article
- Small cortical grey matter lesions show no persistent infarction in transient ischaemic attack? A prospective cohort study.BMJ open · 2018Observational
- A Machine Learning Approach to Perfusion Imaging With Dynamic Susceptibility Contrast MR.Frontiers in neurology · 2018Article
- Effect of High-quality Nursing on Improvement of Anxiety and Depression of Patients with Acute Stroke in MRI Examination.Iranian journal of public health · 2017Article
- Biomarkers of stroke recovery: Consensus-based core recommendations from the Stroke Recovery and Rehabilitation Roundtable.International journal of stroke : official journal of the International Stroke Society · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite promising results in preclinical stroke research, translation of experimental data into clinical therapy has been difficult. One reason is the heterogeneity of the disease with outcomes ranging from complete recovery to continued decline. A successful treatment in one situation may be ineffective, or even harmful, in another. To overcome this, treatment must be tailored according to the individual based on identification of the risk of damage and estimation of potential recovery. Neuroimaging, particularly magnetic resonance imaging (MRI), could be the tool for a rapid comprehensive assessment in acute stroke with the potential to guide treatment decisions for a better clinical outcome. This review describes current MRI techniques used to characterize stroke in a preclinical research setting, as well as in the clinic. Furthermore, we will discuss current developments and the future potential of neuroimaging for stroke outcome prediction.
Indexed as
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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.