Baseline radiomics features and MYC rearrangement status predict progression in aggressive B-cell lymphoma.

ABSTRACT: We investigated whether the outcome prediction of patients with aggressive B-cell lymphoma can be improved by combining clinical, molecular genotype, and radiomics features. MYC, BCL2, and BCL6 rearrangements were assessed using fluorescence in situ hybridization. Seventeen radiomics features were extracted from the baseline positron emission tomography-computed tomography of 323 patients, which included maximum standardized uptake value (SUVmax), SUVpeak, SUVmean, metabolic tumor volume (MTV), total lesion glycolysis, and 12 dissemination features pertaining to distance, differences in uptake and volume between lesions, respectively. Logistic regression with backward feature selection was used to predict progression after 2 years. The predictive value of (1) International Prognostic Index

SUBMITTER: Eertink JJ 

PROVIDER: S-EPMC9841040 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature