Radiomics predictive modeling from dual-time-point FDG PET K_i parametric maps: application to chemotherapy response in lymphoma.

ABSTRACT:

Background

To investigate the use of dynamic radiomics features derived from dual-time-point (DTP-feature) [¹⁸F]FDG PET metabolic uptake rate K_i parametric maps to develop a predictive model for response to chemotherapy in lymphoma patients.

Methods

We analyzed 126 lesions from 45 lymphoma patients (responding n = 75 and non-responding n = 51) treated with chemotherapy from two different centers. Static and DTP radiomics features were extracted from baseline static PET images and DTP K_i parametric maps. Spearman's rank correlations were calculated between static and DTP features to identify features with potential additional information. We first employed univariate analysis to determine correlations between individual features, and subsequen

SUBMITTER: Samimi R 

PROVIDER: S-EPMC10371962 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature