Baseline [18F]FDG PET/CT radiomics for predicting interim efficacy in follicular lymphoma treated with first-line R-CHOP

Baseline [18F]FDG PET/CT radiomics for predicting interim efficacy in follicular lymphoma treated with first-line R-CHOP

Abstract Objective To investigate the predictive value of machine learning-based PET/CT radiomics and clinical risk factors in predicting interim efficacy in patients with follicular lymphoma (FL). Methods This study retrospectively analyzed data from 97 patients with FL diagnosed via histopathologi...

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Bibliographic Details
Main Authors: Zeying Wen, Xiaohe Gao, Qingxia Wu, Jianwei Yang, Jian Sun, Keliu Wu, Hongfei Zhao, Ruihua Wang, Yanmei Li
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BMC Cancer
Subjects:
Follicular lymphoma
Radiomics
Interim efficacy
Online Access:https://doi.org/10.1186/s12885-025-13507-3
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https://doi.org/10.1186/s12885-025-13507-3

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