Nomogram for predicting survival in breast cancer with lung metastasis based on SEER data
Nomograms were created to predict OS and CSS for individuals diagnosed with BCLM. The nomogram has a reliable and valid prediction power; it could perhaps assist physicians in calculating patients' mortality risk.
Authors
- Shuo Wu (ORCID: https://orcid.org/0000-0001-5133-1473)
- Cheng‐Liang Chen (ORCID: https://orcid.org/0000-0002-1354-8329)
- Ming‐Xing Liang (ORCID: https://orcid.org/0000-0002-8425-9639)
- N. Chen (ORCID: https://orcid.org/0009-0001-2564-7682)
- Xiao Lin (ORCID: https://orcid.org/0000-0003-0478-3244)
- Wei Zhuang (ORCID: https://orcid.org/0009-0008-9907-1576)
- Jie Li (ORCID: https://orcid.org/0000-0001-9915-5851)
- Xinwei He
- Ying Qiu (ORCID: https://orcid.org/0000-0003-1862-4797)
- Xianghu Dong (ORCID: https://orcid.org/0009-0002-2364-1057)
- Di-Xin Xue
- Mingzhe He
Institutions
- Wenzhou Medical University (CN)
- Ruian People's Hospital (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- Translational Cancer Research
- Published
- 2025-02-01
- DOI
- https://doi.org/10.21037/tcr-24-1047
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36