Reproducibility of lung cancer radiomics features extracted from data-driven respiratory gating and free-breathing flow imaging in [¹⁸F]-FDG PET/CT.

ABSTRACT:

Background

Quality and reproducibility of radiomics studies are essential requirements for the standardisation of radiomics models. As recent data-driven respiratory gating (DDG) [¹⁸F]-FDG has shown superior diagnostic performance in lung cancer, we evaluated the impact of DDG on the reproducibility of radiomics features derived from [¹⁸F]-FDG PET/CT in comparison to free-breathing flow (FB) imaging.

Methods

Twenty four lung nodules from 20 patients were delineated. Radiomics features were derived on FB flow PET/CT and on the corresponding DDG reconstruction using the QuantImage v2 platform. Lin's concordance factor (C_b) and the mean difference percentage (DIFF%) were calculated for each radiomics feature using the delineated nodules which we

SUBMITTER: Faist D 

PROVIDER: S-EPMC9617997 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature