Value of <sup>18</sup> F-FDG PET/CT-based radiomics features for differentiating primary lung cancer and solitary lung metastasis in patients with colorectal adenocarcinoma
PET/CT radiomics can effectively distinguish PLC and SLM in patients with CRC and SPNs and guide the implementation of personalized treatment.
Authors
- J. Wang (ORCID: https://orcid.org/0000-0001-6486-3305)
- Xinming Zhao (ORCID: https://orcid.org/0000-0002-7060-2643)
- Fenglian Jing (ORCID: https://orcid.org/0000-0002-1063-634X)
- Na Wang (ORCID: https://orcid.org/0000-0003-3053-2748)
- Yunuan Liu (ORCID: https://orcid.org/0000-0002-7756-2146)
- Jingmian Zhang (ORCID: https://orcid.org/0009-0009-1676-5896)
- Yingchen Wang (ORCID: https://orcid.org/0000-0002-4808-9417)
- Zhaoqi Zhang (ORCID: https://orcid.org/0000-0002-0350-6432)
- Meng Dai (ORCID: https://orcid.org/0000-0003-1966-7756)
- Yan Zhao (ORCID: https://orcid.org/0000-0003-2285-2709)
Institutions
- Hebei Medical University (CN)
- Fourth Hospital of Hebei Medical University (CN)
Publication Details
- Journal
- International Journal of Radiation Biology
- Published
- 2024-09-17
- DOI
- https://doi.org/10.1080/09553002.2024.2404465
- Citations
- 2
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.81
Funders
- Health Commission of Hebei Province
- Hebei Medical University