A prognostic index integrating deep learning baseline PET/CT biomarkers and multi-omics profiling in diffuse large B cell lymphoma.

ABSTRACT: [¹⁸F]-Fluorodeoxyglucose (FDG)-positron emission tomography (PET)/computed tomography (CT) is essential for disease staging and treatment response evaluation in diffuse large B cell lymphoma (DLBCL). In this study, we analyze ¹⁸F-FDG-PET scans from 1,024 newly diagnosed DLBCL patients, integrating with DNA and RNA sequencing data. Using the nnUNet deep learning framework and training on both AutoPET public and in-house datasets, we identify key baseline biomarkers-including total metabolic tumor volume (TMTV), Max MTV, and the standardized tumor dissemination biomarker-that demonstrate significant prognostic value. Further integrating PET biomarkers with clinical factors and LymphPlex genetic subtypes, we develop high TMTV, elevated lactate dehydrogenase (LDH), and EZ

SUBMITTER: Wang Y 

PROVIDER: S-EPMC12711681 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature