aceRadial wall strain for residual risk stratification after percutaneous coronary intervention
Background Percutaneous coronary intervention effectively treats flow-limiting stenoses; however, untreated non-target vessels with vulnerable plaques remain a major contributor to future adverse cardiovascular events. Plaque strain is a promising marker of plaque vulnerability but traditionally requires complex modelling and expensive intracoronary imaging. We developed a novel artificial intelligence algorithm for subpixel-level lumen delineation, enabling real-time automated assessment of radial wall strain (…
An AI algorithm enables real-time automated radial wall strain assessment from routine angiography, avoiding complex modelling and costly intracoronary imaging, to flag vulnerable plaques.
Sources
- Peer-reviewedEuroIntervention2026-09-21
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Truvace Impact Record TRV-2026-1167, v3: “Radial wall strain for residual risk stratification after percutaneous coronary intervention.” Truvace, 2026-11-04. /record/TRV-2026-1167 (accessed on the day you copy it). sha256 1334fe96099d4ec8…
Change history
Every change made to this record since it was first published, and why.
Editorial pass: sharper headline; filed as context: no real AI gain or problem (gain activity_only, problem absent).
Direction audit: the problem line described the method, not an outcome; restated as the finding.
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