Impact of Preprocessing Parameters in Medical Imaging-Based Radiomic Studies: A Systematic Review.

ABSTRACT:

Background

Lately, radiomic studies featuring the development of a signature to use in prediction models in diagnosis or prognosis outcomes have been increasingly published. While the results are shown to be promising, these studies still have many pitfalls and limitations. One of the main issues of these studies is that radiomic features depend on how the images are preprocessed before their computation. Since, in widely known and used software for radiomic features calculation, it is possible to set these preprocessing parameters before the calculation of the radiomic feature, there are ongoing studies assessing the stability and repeatability of radiomic features to find the most suitable preprocessing parameters for every used imaging modality.

Materials and methods

We p

SUBMITTER: Trojani V 

PROVIDER: S-EPMC11311340 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature