Mitigating the impact of image processing variations on tumour [¹⁸F]-FDG-PET radiomic feature robustness.

ABSTRACT: Radiomics analysis of [¹⁸F]-fluorodeoxyglucose ([¹⁸F]-FDG) PET images could be leveraged for personalised cancer medicine. However, the inherent sensitivity of radiomic features to intensity discretisation and voxel interpolation complicates its clinical translation. In this work, we evaluated the robustness of tumour [¹⁸F]-FDG-PET radiomic features to 174 different variations in intensity resolution or voxel size, and determined whether implementing parameter range conditions or dependency corrections could improve their robustness. Using 485 patient images spanning three cancer types: non-small cell lung cancer (NSCLC), melanoma, and lymphoma, we observed features were more sensitive to intensity discretisation than voxel interpolation, especially texture

SUBMITTER: Ramlee S 

PROVIDER: S-EPMC11251269 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature