Plausibility and redundancy analysis to select FDG-PET textural features in non-small cell lung cancer

Radiomics refers to the extraction of a large number of image biomarker describing the tumor phenotype displayed in a medical image. Extracted from positron emission tomography (PET) images, radiomics showed diagnostic and prognostic value for several cancer types. However, a large number of radiomic features are nonreproducible or highly correlated with conventional PET metrics. Moreover, radiomic features used in the clinic should yield relevant information about tumor texture. In this study, we propose a framework to identify technical and clinical meaningful features and exemplify our results using a PET non-small cell lung cancer (NSCLC) dataset.

Publication year:2021

Keywords:clinical value, feature selection, radiomics

BOF-keylabel:yes

IOF-keylabel:yes

BOF-publication weight:1

Authors:International

Authors from:Higher Education, Hospital

Accessibility:Open