Gray-level discretization impacts reproducible MRI radiomics texture features.

ABSTRACT:

Objectives

To assess the influence of gray-level discretization on inter- and intra-observer reproducibility of texture radiomics features on clinical MR images.

Materials and methods

We studied two independent MRI datasets of 74 lacrymal gland tumors and 30 breast lesions from two different centers. Two pairs of readers performed three two-dimensional delineations for each dataset. Texture features were extracted using two radiomics softwares (Pyradiomics and an in-house software). Reproducible features were selected using a combination of intra-class correlation coefficient (ICC) and concordance and coherence coefficient (CCC) with 0.8 and 0.9 as thresholds, respectively. We tested six absolute and eight relative gray-level discretization methods and analyzed the distribut

SUBMITTER: Duron L 

PROVIDER: S-EPMC6405136 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature