Artificial Intelligence-Based CTA Software for Real-World Detection of Large Vessel Occlusion in Acute Ischemic Stroke
Background and purpose Artificial intelligence (AI)-based tools for CT angiography (CTA) have been introduced to support rapid detection of large vessel occlusion (LVO) in acute ischemic stroke. Although regulatory approval has relied mainly on controlled clinical studies, evidence from routine clinical practice remains limited. This study aimed to assess the real-world diagnostic performance and workflow impact of the Brainomix e-CTA software. Materials and methods We conducted a retrospective, single-center ob…
In routine practice between May 2023 and May 2025, Brainomix e-CTA achieved 84% sensitivity and 95% specificity for LVO detection and reduced time to diagnostic conclusion for readers of different experience levels, with 94% sensitivity for ICA/proximal M1 occlusions.
The same e-CTA tool showed progressively lower sensitivity for more distal occlusions, dropping to 73% for distal M1 with only moderate agreement with experts, and excluded non-target occlusions from primary analysis, requiring adjunctive rather than standalone use.
Single-center retrospective design with pragmatic neuroradiologist reference standard, and primary endpoint excluded non-target occlusions, limiting generalizability and standalone use for treatment decisions.
Evidence
- Peer-reviewedEuropean Neurology2026-07-10
How should this claim be treated?
Truvace Impact Record TRV-2026-0307, v1: “Artificial Intelligence-Based CTA Software for Real-World Detection of Large Vessel Occlusion in Acute Ischemic Stroke.” Truvace, 2026-07-20. /record/TRV-2026-0307 (accessed at citation time). sha256 4e04caafa0887f52…
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