ArticleInternational journal of stroke : official journal of the International Stroke Society2022
Diagnostic accuracy of automated occlusion detection in CT angiography using e-CTA.
Article in International journal of stroke : official journal of the International Stroke Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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22 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.
- 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
- Swarm Learning for the Detection of Middle Cerebral Artery Occlusion On CT Angiography.Clinical neuroradiology · 2026Article
- Transforming Stroke Diagnosis with Artificial Intelligence: A Scoping Review of Brainomix e-Stroke, Aidoc, RapidAI, and Viz.ai.Medicina (Kaunas, Lithuania) · 2026Article
- Telestroke systems and thrombolysis decisions: diagnostic uncertainty, treatment thresholds, and stroke mimics.Frontiers in neurology · 2026Review
- Review
- Prospective Evaluation of Artificial Intelligence Imaging Support Software for Acute Ischemic Stroke in the Mayo Clinic Telestroke Network.Mayo Clinic proceedings. Innovations, quality & outcomes · 2025Article
- Cerebrovascular morphology: Insights into normal variations, aging effects and disease implications.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2025Review
- Acute Infarct Core Volume Estimation on Noncontrast Computed Tomography With a Deep Learning Algorithm.Stroke (Hoboken, N.J.) · 2025Article
- Automated CT angiography collateral scoring in anterior large vessel occlusion stroke: A multireader study.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2025Article
- The e-STROKE Study: The Design of a Prospective Observational Multicentral Study.Journal of cardiovascular development and disease · 2025Article
- Artificial intelligence assisted detection of large vessel occlusion on CT angiography in acute stroke patients: a multi-reader multi-case study.BJR artificial intelligence · 2025Article
- Current Stroke Solutions Using Artificial Intelligence: A Review of the Literature.Brain sciences · 2024Review
- Deep learning-assisted diagnosis of large vessel occlusion in acute ischemic stroke based on four-dimensional computed tomography angiography.Frontiers in neuroscience · 2024Article
- Deep-learning based detection of vessel occlusions on CT-angiography in patients with suspected acute ischemic stroke.Nature communications · 2023Article
- Duration and accuracy of automated stroke CT workflow with AI-supported intracranial large vessel occlusion detection.Scientific reports · 2023Article
- Accuracy of artificial intelligence software for CT angiography in stroke.Annals of clinical and translational neurology · 2023Article
- Artificial intelligence-based decision support software to improve the efficacy of acute stroke pathway in the NHS: an observational study.Frontiers in neurology · 2023Article
- Spatial CT perfusion data helpful in automatically locating vessel occlusions for acute ischemic stroke patients.Frontiers in neurology · 2023Article
- Validation of a machine learning software tool for automated large vessel occlusion detection in patients with suspected acute stroke.Neuroradiology · 2022Article
- Diagnostic performance of an algorithm for automated large vessel occlusion detection on CT angiography.Journal of neurointerventional surgery · 2022Article
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Authors and funding
9 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
aimThe aim of this study was to assess the diagnostic accuracy of e-CTA (product name) (Brainomix) in the automatic detection of large vessel occlusions in anterior circulation stroke.
methodsOf 487 CT angiographies from patients with large vessel occlusions stroke, 327 were used to train the algorithm while the remaining cases together with 140 negative CT angiographies were used to validate its performance against ground truth. Of these 301 cases, 144 were randomly selected and used for an additional comparative analysis against 4 raters. Sensitivity, specificity, positive and negative predictive value (PPV and NPV), accuracy and level of agreement with ground truth (Cohen's Kappa) were determined and compared to the performance of a neuroradiologist, a radiology resident, and two neurology residents.
resultse-CTA had a sensitivity and specificity of 0.84 (0.77-0.89) and 0.96 (0.91-0.98) respectively for the detection of any large vessel occlusions on the correct side in the whole validation cohort. This performance was identical in the comparative analysis subgroup and was within the range of physicians at different levels of expertise: 0.86-0.97 and 0.91-1.00, respectively. For the detection of proximal occlusions, it was 0.92 (0.84-0.96) and 0.98 (0.94-1.00) for the whole cohort and 0.93 (0.80-0.98) and 1.00 (0.95-1.00) for the comparative analysis, respectively for e-CTA. The range was 0.8-0.97 for sensitivity and 0.97-1.00 for specificity for the four physicians.
conclusionsThe performance of e-CTA in detecting any large vessel occlusions is comparable to less experienced physicians but is similar to experienced physicians for detecting proximal large vessel occlusions.
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