Radial Wall Strain Assessment From AI-Assisted Angiography: Feasibility and Agreement With OCT as Reference Standard.

ABSTRACT:

Background

High-strain spots in coronary arteries are associated with plaque vulnerability and predict future events. Artificial intelligence currently enables the calculation of radial wall strain (RWS) from coronary angiography (RWS_Angio). This study aimed to determine the agreement between novel RWS_Angio and RWS derived from optical coherence tomography (OCT) followed by finite element analysis, as the established reference standard (RWS_OCT).

Methods

All lesions from a previous OCT study were enrolled. OCT was automatically coregistered with angiography. RWS_Angio was computed as the relative luminal deformation throughout the cardiac cycle, whereas RWS_OCT was analyzed using finite element analysis on OCT cross-section

SUBMITTER: Huang J 

PROVIDER: S-EPMC11307920 | biostudies-literature | 2023 Mar-Apr

REPOSITORIES: biostudies-literature