Influence of feature calculating parameters on the reproducibility of CT radiomic features: a thoracic phantom study.

ABSTRACT:

Background

Existing studies have demonstrated that imaging parameters may affect radiomic features. However, the influence of feature calculating parameters has been overlooked. The purpose of this study is to investigate the influence of feature calculating parameters (gray-level range and bin size) on the reproducibility of CT radiomic features.

Methods

Thirty-six CT scans from an anthropomorphic thoracic phantom were acquired with different imaging parameters including effective dose, pitch, slice thicknesses and reconstruction kernels. The influence of feature calculating parameters was investigated in terms of three gray-level ranges and eleven gray-level bin sizes. Feature reproducibility was assessed by the intraclass correlation coefficient (ICC) with the cutoff valu

SUBMITTER: Li Y 

PROVIDER: S-EPMC7417756 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature