Differences in different reconstruction algorithms for coronary CTA demonstrating pericoronary adipose tissue attenuation.

ABSTRACT: The Fat Attenuation Index (FAI) surrounding the coronary arteries, a sensitive biomarker for coronary inflammation, can be measured through standard Coronary Computed Tomography Angiography (CCTA). The aim of this study is to evaluate the differences in FAI as displayed on CCTA using three different reconstruction algorithms: high-level Deep Learning Image Reconstruction (DLIR-H), adaptive statistical iterative reconstruction-Veo at a level of 50% (ASiR-V50%), and Filtered Back Projection (FBP). Based on the presence or absence of plaque, the population was divided into the following groups: normal, no plaque, non-calcified plaque, mixed plaque, and calcified plaque. Each group was then further analysed according to the reconstruction algorithm, with three subgroups for each: DLIR-H, ASiR-

SUBMITTER: Zhu Y 

PROVIDER: S-EPMC12748735 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature