Assessing the diagnostic accuracy of artificial intelligence in post-endovascular aneurysm repair endoleak detection using dual-energy computed tomography angiography
Ewa Nowak,
Marcin Białecki,
Agnieszka Białecka
et al.
Abstract:PurposeThe aim of this study was to evaluate the diagnostic accuracy of an artificial intelligence (AI) tool in detecting endoleaks in patients undergoing endovascular aneurysm repair (EVAR) using dual-energy computed tomography angiography (CTA).Material and methodsThe study involved 95 patients who underwent EVAR and subsequent CTA follow-up. Dual-energy scans were performed, and images were reconstructed as linearly blended (LB) and 40 keV virtual monoenergetic (VMI) images. The AI tool PRAEVAorta®2 was us… Show more
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