ArticleInternational journal of stroke : official journal of the International Stroke Society2020
e-ASPECTS derived acute ischemic volumes on non-contrast-enhanced computed tomography images.
Article in International journal of stroke : official journal of the International Stroke Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Software with artificial intelligence-derived algorithms for analysing CT brain scans in people with a suspected acute stroke: a systematic review and cost-effectiveness analysis.Health technology assessment (Winchester, England) · 2024Pooled it
- Comparative Analysis of the ABC/2 Score and e-ASPECTS Software in the Determination of Acute Ischaemic Stroke Volume from Non-Contrast CT.Brain sciences · 2025Article
- Automatically quantified follow-up imaging biomarkers predict clinical outcomes after acute ischemic stroke.Frontiers in neurology · 2025Article
- The new era of artificial intelligence in neuroradiology: current research and promising tools.Arquivos de neuro-psiquiatria · 2024Article
- Assessing variability in non-contrast CT for the evaluation of stroke: The effect of CT image reconstruction conditions on AI-based CAD measurements of ASPECTS value and hypodense volume.Proceedings of SPIE--the International Society for Optical Engineering · 2024Article
- Head CT deep learning model is highly accurate for early infarct estimation.Scientific reports · 2023Article
- Potential and limitations of computed tomography images as predictors of the outcome of ischemic stroke events: a review.Frontiers in stroke · 2023Review
- Impact of e-ASPECTS software on the performance of physicians compared to a consensus ground truth: a multi-reader, multi-case study.Frontiers in neurology · 2023Article
- A Short Review on Advances in Early Diagnosis and Treatment of Ischemic Stroke.Galen medical journal · 2023Review
- External Validation of e-ASPECTS Software for Interpreting Brain CT in Stroke.Annals of neurology · 2022Article
- Optimizing Time Management for Drip-and-Ship Stroke Patients Qualifying for Endovascular Therapy-A Single-Network Study.Healthcare (Basel, Switzerland) · 2022Article
- Development and clinical application of a deep learning model to identify acute infarct on magnetic resonance imaging.Scientific reports · 2022Article
- Intravenous thrombolysis in ischemic stroke patients based on non-contrast CT in the extended time-window.Frontiers in stroke · 2022Review
- Interpretable Machine Learning Modeling for Ischemic Stroke Outcome Prediction.Frontiers in neurology · 2022Article
- Unequal Efficacy of Different Infarct Location in Predicting Futile Recanalization of Patients With Acute Ischemic Stroke.Frontiers in neurology · 2022Article
- Deep learning-based identification of acute ischemic core and deficit from non-contrast CT and CTA.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2021Article
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9 authors.
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No grant is acknowledged in the PubMed record.
Abstract
background and purposeValidation of automatically derived acute ischemic volumes (AAIV) from e-ASPECTS on non-contrast computed tomography (NCCT). MATERIALS AND
methodsData from three studies were reanalyzed with e-ASPECTS Version 7. AAIV was calculated in milliliters (ml) in all scored ASPECTS regions of the hemisphere detected by e-ASPECTS. The National Institute of Health Stroke Scale (NIHSS) determined stroke severity at baseline and clinical outcome was measured with the modified Rankin Scale (mRS) between 45 and 120 days. Spearman ranked correlation coefficients (R) of AAIV and e-ASPECTS scores with NIHSS and mRS as well as Pearson correlation of AAIV with diffusion-weighted imaging and CT perfusion-estimated ischemic "core" volumes were calculated. Multivariate regression analysis (odds ratio, OR with 95% confidence intervals, CI) and Bland-Altman plots were performed.
resultsWe included 388 patients. Mean AAIV was 11.6 ± 18.9 ml and e-ASPECTS was 9 (8-10: median and interquartile range). AAIV, respectively e-ASPECTS correlated with NIHSS at baseline (R = 0.35,
conclusionAAIV on NCCT correlated moderately with clinical severity but strongly with diffusion-weighted imaging lesion and computed tomography perfusion ischemic "core" volumes and predicted clinical outcome.
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