A proof of concept study of ¹⁸F-FDG PET/CT patient-level radiomics identify refractory/relapsed diffuse large B-cell lymphoma.

ABSTRACT: This study aimed to evaluate diffuse large B-cell lymphoma (DLBCL) patients who have refractory/relapsed disease and characterize the heterogeneity of DLBCL using patient-level radiomics analysis based on ¹⁸F-FDG PET/CT. A total of 132 patients diagnosed with DLBCL who underwent ¹⁸F-FDG PET/CT before receiving treatment were selected for the final study. Patient-level volumes of interests (VOI) were extracted from PET/CT images, and 328 radiomics features were extracted subsequently. 8 radiomics features were selected using the Least Absolute Shrinkage and Selection Operator (LASSO) algorithm to calculate the radiomics score (rad-score). Additionally, a total of 64 potential ML classifiers were generated based on 8 distinct supervised learning algorithms. The combined

SUBMITTER: Cui C 

PROVIDER: S-EPMC12484957 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature