Bone metastasis prediction in non-small-cell lung cancer: primary CT-based radiomics signature and clinical feature
The revealed invisible image features were of significance on guiding bone metastasis prediction in NSCLC. Based on the combination of the image features and clinical characteristics, the predictive nomogram was established. Such nomogram can be used for the auxiliary screening of bone metastasis in NSCLC.
Authors
- Yile Lin (ORCID: https://orcid.org/0000-0003-1836-4059)
- Min Mao (ORCID: https://orcid.org/0009-0003-6069-3443)
- Wenjuan Ma (ORCID: https://orcid.org/0000-0002-7739-4891)
- В. П. Чехонин (ORCID: https://orcid.org/0000-0003-4386-7897)
- Haixiao Wu (ORCID: https://orcid.org/0000-0002-2699-466X)
- Karl Peltzer (ORCID: https://orcid.org/0000-0002-5980-0876)
- Zheng Liu (ORCID: https://orcid.org/0000-0003-4158-6768)
- Zhijun Li (ORCID: https://orcid.org/0000-0002-2058-7625)
- Chao Zhang (ORCID: https://orcid.org/0000-0003-2776-5647)
- Rui Yin (ORCID: https://orcid.org/0000-0001-5935-3706)
- Huiyang Li (ORCID: https://orcid.org/0000-0001-8903-6779)
- Yijun Guo (ORCID: https://orcid.org/0009-0003-6380-6538)
- Xiqi Jian
Institutions
- Army Medical University (CN)
- Sun Yat-sen University (CN)
- University of the Free State (ZA)
- Tianjin Medical University General Hospital (CN)
- Tianjin Medical University Cancer Institute and Hospital (CN)
- The Seventh Affiliated Hospital of Sun Yat-sen University (CN)
- Southwest Hospital (CN)
- Federal Medical Research Centre for Psychiatry and Narcology (RU)
- Tianjin Medical University (CN)
Publication Details
- Journal
- BMC Medical Imaging
- Published
- 2024-08-05
- DOI
- https://doi.org/10.1186/s12880-024-01383-5
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Army Medical University