FRID-PI: a machine learning model for diagnosing fracture-related infections based on 18F-FDG PET/CT and inflammatory markers
The study aims to construct and evaluate a novel diagnostic model based on <sup>18</sup>F-fluorodeoxyglucose positron emission tomography /computed tomography (<sup>18</sup>F-FDG PET/CT) and laboratory biomarkers for fracture-related infection (FRI).
Authors
- Quanhui Tan
- Chen‐Tian Shen (ORCID: https://orcid.org/0000-0001-5943-4418)
- Mei Yang
- Tingting Li (ORCID: https://orcid.org/0000-0002-5651-5260)
- Jie Chen (ORCID: https://orcid.org/0000-0002-3864-9265)
- Xiaohua Chen (ORCID: https://orcid.org/0000-0003-2646-2302)
- Jiangfeng Wang (ORCID: https://orcid.org/0000-0001-5086-4147)
- Weiwei Hu (ORCID: https://orcid.org/0000-0002-5015-2139)
- Zhenghao Tang
- Yu Zhang (ORCID: https://orcid.org/0009-0005-6052-7087)
Institutions
- Shanghai Jiao Tong University (CN)
- Shanghai Sixth People's Hospital (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-03-26
- DOI
- https://doi.org/10.3389/fmed.2025.1534988
- Citations
- 1
- Primary Topic
- Orthopedic Infections and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 2.01