Robust deep learning-based PET prognostic imaging biomarker for DLBCL patients: a multicenter study.

Chong JiangChunjun QianZekun JiangYue TengRuihe LaiYiwen SunXinye NiChongyang DingYuchao XuRong Tian

Published in: European journal of nuclear medicine and molecular imaging (2023)

The DLSs were identified as robust prognostic imaging biomarkers for survival in DLBCL patients. Moreover, the multiparametric models developed in this study exhibited promising potential in accurately stratifying patients based on their survival risk.

Keyphrases

end stage renal disease
ejection fraction
newly diagnosed
deep learning
prognostic factors
computed tomography
diffuse large b cell lymphoma
risk assessment
photodynamic therapy
convolutional neural network
pet imaging