Multicollinearity and redundancy of the PET radiomic feature set.

ABSTRACT:

Introduction

The aim of this study was to map multicollinearity of the radiomic feature set in five independent [¹⁸F]FDG-PET cohorts with different tumour types and identify generalizable non-redundant features.

Methods

Five [¹⁸F]FDG-PET radiomic cohorts were analysed: non-small cell lung carcinomas (N = 35), pheochromocytomas and paragangliomas (N = 40), head and neck squamous cell carcinomas (N = 54), [¹⁸F]FDG-positive thyroid nodules with indeterminate cytology (N = 84), and gastric carcinomas (N = 206). Lesions were delineated, and 105 radiomic features were extracted using PyRradiomics. In every cohort, Spearman's rank correlation coefficient (ρ) matrices of features were calculated to determine which features showed (very) strong (ρ > 0

SUBMITTER: Noortman WA 

PROVIDER: S-EPMC12559118 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature