A Nomogram for Early Prediction of Infected Pancreatic Necrosis Based on Contrast-Enhanced CT Radiomics and Inflammatory Indicators
The clinical-radiomic combined nomogram performed well in predicting IPN in patients with ANP. It could potentially serve as a quantitative, non-invasive tool for early IPN prediction in patients with ANP.
Authors
- Yuelang Zhang (ORCID: https://orcid.org/0000-0002-8967-6474)
- Xiangyang Li (ORCID: https://orcid.org/0009-0001-3360-7381)
- Chang Liu (ORCID: https://orcid.org/0000-0002-7318-1004)
- Yinghuan Shi (ORCID: https://orcid.org/0000-0003-4534-7318)
- Yanyu Duan (ORCID: https://orcid.org/0000-0001-6603-3508)
- Chao Jin (ORCID: https://orcid.org/0000-0002-8710-6590)
- Shiyu Wei
- Jingyao Zhang (ORCID: https://orcid.org/0000-0002-8227-9396)
- Qing Yao
Institutions
- First Affiliated Hospital of Xi'an Jiaotong University (CN)
- Second Affiliated Hospital of Xi'an Jiaotong University (CN)
- Nanjing University (CN)
Publication Details
- Journal
- Journal of Inflammation Research
- Published
- 2025-10-01
- DOI
- https://doi.org/10.2147/jir.s538345
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Shaanxi Province