18F-FDG PET radiomics score construction by automatic machine learning for treatment response prediction in elderly patients with diffuse large B-cell lymphoma: a multicenter study

The radscore generated by AutoML can predict the treatment response of elderly DLBCL patients, potentially aiding in clinical decision-making.

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Publication Details

Journal
Journal of Cancer Research and Clinical Oncology
Published
2025-03-28
DOI
https://doi.org/10.1007/s00432-025-06172-3
Citations
2
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
2.72
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article

18F-FDG PET radiomics score construction by automatic machine learning for treatment response prediction in elderly patients with diffuse large B-cell lymphoma: a multicenter study

Man Chen, Wenzhuo Zhao, Jingyan Xu, Jianxin Chen et al.
2 citations
Journal of Cancer Research and Clinical Oncology
Radiomics and Machine Learning in Medical Imaging
2.72
article

18F-FDG PET radiomics score construction by automatic machine learning for treatment response prediction in elderly patients with diffuse large B-cell lymphoma: a multicenter study

Man Chen, Wenzhuo Zhao, Jingyan Xu, Jianxin Chen, Yue Teng, Jin-cheng Zhao, Jian Rong
article en
2 citations

Abstract

The radscore generated by AutoML can predict the treatment response of elderly DLBCL patients, potentially aiding in clinical decision-making.

Journal of Cancer Research and Clinical OncologyVol. 151(3)
China Pharmaceutical University (CN), Nanjing University of Posts and Telecommunications (CN), Nanjing Drum Tower Hospital (CN)
Good health and well-being
Openalex Percentile: Top 12%
Radiomics and Machine Learning in Medical Imaging
2.72
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