A nomogram to preoperatively predict the aggressiveness of pancreatic neuroendocrine tumors based on CT features and 3D CT radiomic features
This study presents a combined model incorporating CT and 3D CT radiomic features, which accurately predicts the aggressiveness of PNETs preoperatively.
Authors
- Jiajun Qiu (ORCID: https://orcid.org/0000-0002-0972-9338)
- Nengwen Ke (ORCID: https://orcid.org/0000-0002-7135-2244)
- Xing Wang (ORCID: https://orcid.org/0000-0003-4313-6381)
- Xiaoding Shen
- Fan Yang (ORCID: https://orcid.org/0000-0003-2205-8177)
- Xu-Bao Liu
- Ziyao Wang
Institutions
- Sichuan University (CN)
- West China Hospital of Sichuan University (CN)
Publication Details
- Journal
- Abdominal Radiology
- Published
- 2025-01-22
- DOI
- https://doi.org/10.1007/s00261-024-04759-x
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36