ArticleEuropean radiology2022
Automated quantitative lesion water uptake in acute stroke is a predictor of malignant cerebral edema.
Article in European radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.
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Who cites it
17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 citations in OpenAlex.
- Net water uptake as a predictive neuroimaging marker for acute ischemic stroke outcomes: a meta-analysis.European radiology · 2024Pooled it
- Risk prediction models for malignant cerebral edema after endovascular therapy in patients with acute anterior circulation large vessel occlusion stroke: a systematic review and meta-analysis.Frontiers in neurologyPooled it
- Location-Specific Net Water Uptake and Malignant Cerebral Edema in Acute Anterior Circulation Occlusion Ischemic Stroke.AJNR. American journal of neuroradiology · 2025Article
- Radiomics signature and deep learning signature of intrathrombus and perithrombus for prediction of malignant cerebral edema after acute ischemic stroke: a multicenter CT study.Frontiers in neurology · 2025Article
- Net water uptake combined with neutrophil-to-lymphocyte ratio predictive value after successful recanalization in acute large vessel occlusion stroke.Frontiers in neurology · 2025Article
- Predictive value of net water uptake for early neurological deterioration after mechanical thrombectomy in acute ischemic stroke with large vessel occlusion.Frontiers in neurology · 2025Article
- Deep learning biomarker of chronometric and biological ischemic stroke lesion age from unenhanced CT.NPJ digital medicine · 2024Article
- Role of Computed Tomography Angiography Enhancement Ratio in Predicting Prognosis in Patients With Stroke Undergoing Endovascular Treatment.Stroke (Hoboken, N.J.) · 2024Article
- Novel advanced imaging techniques for cerebral oedema.Frontiers in neurology · 2024Review
- ASPECTS-based net water uptake outperforms target mismatch for outcome prediction in patients with acute ischemic stroke and late therapeutic window.European radiology · 2023Article
- Net water uptake within the ischemic penumbra predicts the presence of the midline shift in patients with acute ischemic stroke.Frontiers in neurology · 2023Article
- Automated Estimation of Quantitative Lesion Water Uptake as a Prognostic Biomarker for Patients with Ischemic Stroke and Large-Vessel Occlusion.AJNR. American journal of neuroradiology · 2023Article
- Editorial comment on "Automated quantitative lesion water uptake in acute stroke is a predictor of malignant cerebral edema".European radiology · 2022Article
- Net water uptake, a neuroimaging marker of early brain edema, as a predictor of symptomatic intracranial hemorrhage after acute ischemic stroke.Frontiers in neurology · 2022Article
- A novel automated CT biomarker to predict outcomes in acute ischemic stroke: net water uptake.Frontiers in neurologyArticle
- Net water uptake and ASPECTS in predicting futile recanalization for acute large vessel occlusion stroke: insights from time window stratification.Frontiers in neurologyArticle
- Clinical software for unsupervised automated net water uptake analysis predicts futile recanalization in acute ischemic stroke.Frontiers in neurologyArticle
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Authors and funding
12 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesNet water uptake (NWU) has been shown to have a linear relationship with brain edema. Based on an automated-Alberta Stroke Program Early Computed Tomography Score (ASPECTS) technique, we automatically derived NWU from baseline multimodal computed tomography (CT), namely ASPECTS-NWU. We aimed to determine if ASPECTS-NWU can predict the development of malignant cerebral edema (MCE).
methodsOne hundred and forty-six patients with large-vessel occlusion were retrospectively enrolled. Quantitative NWU based on automated-ASPECTS was measured both on nonenhanced CT (NECT) and CT angiography (CTA), namely NECT-ASPECT-NWU and CTA-ASPECTS-NWU. The correlation between ASPECTS-NWU and cerebral edema (CED) grades was calculated using Spearman rank correlation. Univariate logistic regression was used to assess the effect of radiological and clinical features on MCE, and a multivariable model with significant factors from the univariate regression analysis was built. Receiver operating characteristic (ROC) was obtained and area under curve (AUC) was compared.
resultsCTA-ASPECTS-NWU had a moderate positive correlation with CED grades (r = 0.62; 95% confidence interval [CI], 0.51-0.71; p < 0.001). The CTA-ASPECTS-NWU performed better than the NECT-ASPECTS-NWU with AUC: 0.88 vs. 0.71 (p < 0.001). Multivariable logistic regression model integrating CTA-ASPECTS-NWU, collateral score, and age showed the CTA-ASPECTS-NWU was an independent predictor of MCE with an AUC of 0.94 (95% CI: 0.90-0.98; p < 0.001).
conclusionsThis study demonstrates that ASPECTS-NWU is a quantitative predictor of MCE after large-vessel occlusion of the middle cerebral artery territory. The multivariable logistic regression model may enhance the identification of patients with MCE needing anti-edematous treatment. KEY POINTS: • The automated-ASPECTS technique can automatically detect the affected regions with early ischemic changes and NWU could be manually calculated. • The CTA-ASPECTS-NWU performs better than the NECT-ASPECTS-NWU on predicting the development of MCE. • The multivariable logistic regression model may enhance the identification of patients with MCE needing anti-edematous treatment.
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