Integrating deep learning and multi-omics features in radiation pneumonitis prediction for lung cancer patients using PET/CT
Integrating radiomics, DL, dosiomics features and SUVp90 is promising in the RP prediction for lung cancer patients underwent VMAT using PET/CT images.
Authors
- Xiance Jin (ORCID: https://orcid.org/0000-0002-4117-5953)
- Congying Xie (ORCID: https://orcid.org/0000-0002-1693-9034)
- Wanyu Su
- Xiaotong Jin
- Yao Ai (ORCID: https://orcid.org/0000-0001-9992-0250)
- Yanting Shen (ORCID: https://orcid.org/0000-0002-5784-156X)
- Weiqian Huang
- Weihua Ni
- Ziqing Xiang
- Xianwen Yu
Institutions
- Wenzhou Medical University (CN)
- First Affiliated Hospital of Wenzhou Medical University (CN)
Publication Details
- Journal
- BMC Medical Imaging
- Published
- 2025-10-27
- DOI
- https://doi.org/10.1186/s12880-025-01971-z
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36
Funders
- Wenzhou Medical University
- Wenzhou Municipal Science and Technology Bureau
- Natural Science Foundation of Zhejiang Province