Stability and accuracy of fat quantification on photon-counting detector CT with various scan settings: A phantom study.

Objective: Fat deposition is an important marker of many metabolic diseases. As a noninvasive and convenient examination method, CT has been widely used for fat quantification. With the clinical application of photon-counting detector (PCD)-CT, we aimed to investigate the accuracy, stability, and dose level of PCD-CT using various scan settings for fat quantification.

CT radiomic features reproducibility of virtual non-contrast series derived from photon-counting CCTA datasets using a novel calcium-preserving reconstruction algorithm compared with standard non-contrast series: focusing on epicardial adipose tissue.

Purpose: We aimed to evaluate the reproducibility of computed tomography (CT) radiomic features (RFs) about Epicardial Adipose Tissue (EAT). The features derived from coronary photon-counting computed tomography (PCCT) angiography datasets using the PureCalcium (VNC) and conventional virtual non-contrast (VNC) algorithm were compared with true non-contrast (TNC) series.

Methods: RFs of EAT from 52 patients who underwent PCCT were quantified using VNC, VNC, and TNC series.