ReviewNeuroscience letters2020
Automated quantitative assessment of cerebral edema after ischemic stroke using CSF volumetrics.
Review in Neuroscience letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.
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
16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 27 citations in OpenAlex.
- Neuroimaging predictors of malignant brain oedema after thrombectomy in ischemic stroke: a systematic review and meta-analysis.Annals of medicine · 2025Pooled it
- Predictive Value of Machine Learning Models for Cerebral Edema Risk in Stroke Patients: A Meta-Analysis.Brain and behavior · 2025Pooled it
- A Platform for Automatic Extraction of Imaging Biomarkers in CT Scans from Ischemic and Hemorrhagic Stroke Patients.Journal of imaging informatics in medicine · 2026Article
- Autoregulation-Guided Blood Pressure Targets After Stroke Thrombectomy: Impact on Secondary Brain Injury and Neurologic Outcomes.Neurology · 2026Observational
- Utilizing Artificial Intelligence for CSF Segmentation and Analysis in Head CT Imaging: A Systematic Review.Brain sciences · 2025Review
- Automatic measurement and reference values setting of intracranial cerebrospinal fluid volume: a large-scale analysis of computed tomography images.Quantitative imaging in medicine and surgery · 2025Article
- Brain fluid physiology in ischaemic stroke; more than just oedema.Fluids and barriers of the CNS · 2025Review
- Evaluating the interaction between hemorrhagic transformation and cerebral edema on functional outcome after ischemic stroke.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2024Article
- CSF-Based Volumetric Imaging Biomarkers Highlight Incidence and Risk Factors for Cerebral Edema After Ischemic Stroke.Neurocritical care · 2024Article
- Emerging frontiers of artificial intelligence and machine learning in ischemic stroke: a comprehensive investigation of state-of-the-art methodologies, clinical applications, and unraveling challenges.The EPMA journal · 2023Review
- Severe cerebral edema in substance-related cardiac arrest patients.Resuscitation · 2022Article
- Commentary on "Midline Shift Greater than 3 mm Independently Predicts Outcome After Ischemic Stroke".Neurocritical care · 2022Article
- Association Between Post-procedure Cerebral Blood Flow Velocity and Severity of Brain Edema in Acute Ischemic Stroke With Early Endovascular Therapy.Frontiers in neurology · 2022Article
- Automated Measurement of Net Water Uptake From Baseline and Follow-Up CTs in Patients With Large Vessel Occlusion Stroke.Frontiers in neurology · 2022Article
- MRI Radiomics Features From Infarction and Cerebrospinal Fluid for Prediction of Cerebral Edema After Acute Ischemic Stroke.Frontiers in aging neuroscience · 2022Article
- Evaluation and Prediction of Post-stroke Cerebral Edema Based on Neuroimaging.Frontiers in neurology · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
Reduction in CSF volume from baseline to follow-up CT at or beyond 24 -hs can serve as a quantitative biomarker of cerebral edema after stroke. We have demonstrated that assessment of CSF displacement reflects edema metrics such as lesion volume, midline shift, and neurologic deterioration. We have also developed a neural network-based image segmentation algorithm that can automatically measure CSF volume on serial CT scans from stroke patients. We have integrated this algorithm into an image processing pipeline that can extract this edema biomarker from large cohorts of stroke patients. Finally, we have created a stroke repository that can archive and process images from thousands of stroke patients in order to measure CSF volumetrics. We plan on applying this metric as a quantitative endophenotype of cerebral edema to facilitate early prediction of clinical deterioration as well as large-scale genetic studies.
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.