Application of radiomics model based on FDG-PET/CT for the assessment of therapeutic effect in patients with newly-diagnosed multiple myeloma
The FDG-PET/CT-based radiomics model, particularly when integrated with clinical features, can more effectively predict deep treatment response in newly diagnosed MM patients, offering significant clinical utility for early treatment stratification and personalized therapeutic guidance.
Authors
- Shiyuan Liu (ORCID: https://orcid.org/0000-0003-3420-0310)
- Fei Li (ORCID: https://orcid.org/0009-0004-3413-5330)
- Hongbiao Sun (ORCID: https://orcid.org/0000-0002-0060-431X)
- Biwei Jiang
- Qingyang Yu
- Kaili Chen (ORCID: https://orcid.org/0009-0004-4727-8832)
- Xiaodan Xu (ORCID: https://orcid.org/0000-0001-8338-1600)
- Fukai Li (ORCID: https://orcid.org/0000-0001-7143-4680)
- Xiang Wang (ORCID: https://orcid.org/0000-0001-5538-4310)
- Jing Yan (ORCID: https://orcid.org/0000-0001-6245-7434)
- Shaochun Xu
- Guangwen Duan
- Yi Xiao (ORCID: https://orcid.org/0000-0002-4839-7866)
Institutions
- Tongji University (CN)
- Shanghai Changzheng Hospital (CN)
- Shanghai Tenth People's Hospital (CN)
- United Imaging Healthcare (China) (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-12-01
- DOI
- https://doi.org/10.3389/fonc.2025.1647730
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Science and Technology Commission of Shanghai Municipality