ArticleStroke (Hoboken, N.J.)2025
SAHVAI-3D and 4D: Automated AI Volumetric Measurement of Subarachnoid Hemorrhage on Noncontrast Head CT.
Article in Stroke (Hoboken, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Bridging Continents, Closing Gaps: A Multicenter Cohort Study on Subarachnoid Hemorrhage Outcomes and Health Care Disparities.Neurocritical care · 2026Article
- External multicenter validation of the eSAH score for predicting outcomes after subarachnoid hemorrhage.Scientific reports · 2025Article
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: We automated subarachnoid hemorrhage volume (SAHV) calculation with artificial intelligence (SAHVAI) and created 3-dimensional volumetric images (SAHVAI-3D) using noncontrast head computed tomography data for patients with aneurysmal SAH. We also defined 4-dimensional SAHVAI (SAHVAI-4D), representing SAHV over time. We aimed to compare automated SAHVAI values and computational times to manual SAHV measurement methods, explore the potential of imaging biomarkers to identify at-risk brain regions for delayed cerebral ischemia and explore potential insights in future neurotherapeutic interventions for patient recovery after SAH. Methods: A training set of 10 consecutive patients with aneurysmal SAH was used to manually compute SAHV, SAHVAI-3D, and SAHVAI-4D, including 92 noncontrast computed tomography scans (182 slices each). The SAHVAI deep learning algorithm generated automated SAHV values in cubic centimeters. A 3-dimensional SAH brain map was created for each patient for the SAHVAI and manual evaluations. Blood volumetric outputs were analyzed and compared to neurologic outcomes at discharge, including delayed cerebral ischemia events, symptomatic vasospasm, and areas with the thickest SAH blood concentration. Results: SAHVAI quantified SAHV in a mean of 6.7 seconds per scan, significantly faster than the manual method, which took >60 minutes per scan (Fisher exact test, Conclusion: SAHVAI-3D and SAHVAI-4D brain mapping techniques represent innovative imaging biomarkers for SAH. These advancements enable rapid evaluation and targeted interventions, potentially improving patient care in SAH management.
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