The impact of pre-processing and disease characteristics on reproducibility of T2-weighted MRI radiomics features.

ABSTRACT:

Purpose

To evaluate the reproducibility of radiomics features derived via different pre-processing settings from paired T2-weighted imaging (T2WI) prostate lesions acquired within a short interval, to select the setting that yields the highest number of reproducible features, and to evaluate the impact of disease characteristics (i.e., clinical variables) on features reproducibility.

Materials and methods

A dataset of 50 patients imaged using T2WI at 2 consecutive examinations was used. The dataset was pre-processed using 48 different settings. A total of 107 radiomics features were extracted from manual delineations of 74 lesions. The inter-scan reproducibility of each feature was measured using the intra-class correlation coefficient (ICC), with ICC values > 0.75 considere

SUBMITTER: Dewi DEO 

PROVIDER: S-EPMC10667400 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature