ArticleFrontiers in neurology2022
Automated Measurement of Net Water Uptake From Baseline and Follow-Up CTs in Patients With Large Vessel Occlusion Stroke.
Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.
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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.
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Who cites it
19 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Machine learning models of segmentation in acute ischemic stroke: a systematic review and meta-analysis.Biomedical engineering online · 2026Pooled it
- Predictive Value of Machine Learning Models for Cerebral Edema Risk in Stroke Patients: A Meta-Analysis.Brain and behavior · 2025Pooled it
- Integrating Brain Imaging Volumetrics and Quantitative Pupillometry for Predicting Neurologic Deterioration after Large Hemispheric Stroke.Neurocritical care · 2026Article
- A Platform for Automatic Extraction of Imaging Biomarkers in CT Scans from Ischemic and Hemorrhagic Stroke Patients.Journal of imaging informatics in medicine · 2026Article
- White Matter Hyperintensities on Admission CT are Associated with Worse Outcomes But Not Cerebral Edema or Hemorrhagic Transformation After Large Vessel Occlusion Stroke.Neurocritical care · 2026Article
- Fully automated quantification of net water uptake in acute ischemic stroke using only non-contrast CT imaging.European radiology · 2026Article
- White Matter Hyperintensities on Admission CT Are Associated with Worse Outcomes but not Cerebral Edema or Hemorrhagic Transformation after Large Vessel Occlusion Stroke.Research square · 2026Article
- Integrating Brain Imaging Volumetrics and Quantitative Pupillometry for Predicting Neurologic Deterioration after Large Hemispheric Stroke.Research square · 2025Article
- Early automated cerebral edema assessment following endovascular therapy: impact on stroke outcome.Journal of neurointerventional surgery · 2025Article
- Contrast quality control for segmentation task based on deep learning models-Application to stroke lesion in CT imaging.Frontiers in neurology · 2025Article
- Current perspective in acute ischemic stroke: net water uptake and imaging-guided selection as bridges to personalized, tissue-based care.Frontiers in neurology · 2025Article
- Deep learning biomarker of chronometric and biological ischemic stroke lesion age from unenhanced CT.NPJ digital medicine · 2024Article
- 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
- Association between occlusion location, net water uptake and ischemic lesion growth in large vessel anterior circulation strokes.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024Article
- CSF-Based Volumetric Imaging Biomarkers Highlight Incidence and Risk Factors for Cerebral Edema After Ischemic Stroke.Neurocritical care · 2024Article
- Semiautomated Detection of Early Infarct Signs on Noncontrast CT Improves Interrater Agreement.Stroke · 2023Article
- Cerebral edema after ischemic stroke: Pathophysiology and underlying mechanisms.Frontiers in neuroscience · 2022Review
- Imaging biomarkers of cerebral edema automatically extracted from routine CT scans of large vessel occlusion strokes.Journal of neuroimaging : official journal of the American Society of NeuroimagingArticle
- Defining Large Core Infarction: Comparing the Accuracy of Non-Contrast CT ASPECTS Versus CT Perfusion Core Volume.Journal of neuroimaging : official journal of the American Society of NeuroimagingArticle
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
Quantifying the extent and evolution of cerebral edema developing after stroke is an important but challenging goal. Lesional net water uptake (NWU) is a promising CT-based biomarker of edema, but its measurement requires manually delineating infarcted tissue and mirrored regions in the contralateral hemisphere. We implement an imaging pipeline capable of automatically segmenting the infarct region and calculating NWU from both baseline and follow-up CTs of large-vessel occlusion (LVO) patients. Infarct core is extracted from CT perfusion images using a deconvolution algorithm while infarcts on follow-up CTs were segmented from non-contrast CT (NCCT) using a deep-learning algorithm. These infarct masks were flipped along the brain midline to generate mirrored regions in the contralateral hemisphere of NCCT; NWU was calculated as one minus the ratio of densities between regions, removing voxels segmented as CSF and with HU outside thresholds of 20-80 (normal hemisphere and baseline CT) and 0-40 (infarct region on follow-up). Automated results were compared with those obtained using manually-drawn infarcts and an ASPECTS region-of-interest based method that samples densities within the infarct and normal hemisphere, using intraclass correlation coefficient (ρ). This was tested on serial CTs from 55 patients with anterior circulation LVO (including 66 follow-up CTs). Baseline NWU using automated core was 4.3% (IQR 2.6-7.3) and correlated with manual measurement (ρ = 0.80,
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