Recognition of the novel items for prediction of bone metastasis in colorectal cancer
UA, UAR and NLR serve as valuable makers for predicting bone metastases in patients with colorectal cancer. The integration of UA, UAR, NLR, CEA, CA199 and CA724 may enhance the prediction of bone metastases in colorectal cancer.
Authors
- Xiao Shang (ORCID: https://orcid.org/0000-0002-2524-4007)
- Fengyuan Hu (ORCID: https://orcid.org/0000-0002-1756-7551)
- Wanyi Liu (ORCID: https://orcid.org/0000-0001-5879-7583)
- Wenyang Li (ORCID: https://orcid.org/0000-0001-6078-6357)
- Xiangxiang Zhang (ORCID: https://orcid.org/0000-0002-4927-2889)
- Xuan Wang (ORCID: https://orcid.org/0000-0002-2910-8598)
- Min Chen (ORCID: https://orcid.org/0000-0002-9226-9220)
- Ling Chen (ORCID: https://orcid.org/0000-0003-0423-2100)
- Junyang Wang (ORCID: https://orcid.org/0000-0001-6588-6947)
- Ying Gao (ORCID: https://orcid.org/0000-0002-6153-7237)
- Min Jiao (ORCID: https://orcid.org/0000-0001-5496-7995)
- Fang Wu (ORCID: https://orcid.org/0000-0003-3639-9685)
- Juan Ren (ORCID: https://orcid.org/0000-0002-8360-8286)
- Shuheng Bai
- Wenjuan Wang (ORCID: https://orcid.org/0000-0001-9180-2823)
- YanKe Chen
- Ning Lan (ORCID: https://orcid.org/0000-0002-8447-9789)
Institutions
- First Affiliated Hospital of Xi'an Jiaotong University (CN)
- Xi'an Jiaotong University (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-10-21
- DOI
- https://doi.org/10.3389/fonc.2025.1666891
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00