Preoperative prediction of pancreatic neuroendocrine tumors grade based on computed tomography, magnetic resonance imaging and endoscopic ultrasonography
We proposed a comprehensive model based on preoperative CT, MRI and EUS to predict grade 1 and grade 2/3 of PanNETs and better informs clinicians on individualized diagnosis and treatment of patients with PanNETs.
Authors
- H Y Liu (ORCID: https://orcid.org/0009-0000-8909-1233)
- Yudong Qiu (ORCID: https://orcid.org/0000-0002-6017-9757)
- Hexing Hang (ORCID: https://orcid.org/0000-0003-1329-4880)
- Song Zhang (ORCID: https://orcid.org/0000-0002-0245-9355)
- Qi Li (ORCID: https://orcid.org/0000-0002-3930-6715)
- Yangli Xie (ORCID: https://orcid.org/0000-0002-2865-1126)
- Hao Cheng (ORCID: https://orcid.org/0000-0002-5034-0084)
- Elyar Abaydulla
Institutions
- Nanjing Drum Tower Hospital (CN)
Publication Details
- Journal
- Abdominal Radiology
- Published
- 2025-03-19
- DOI
- https://doi.org/10.1007/s00261-025-04865-4
- Citations
- 2
- Primary Topic
- Neuroendocrine Tumor Research Advances
- Type
- article
- Field-Weighted Citation Impact
- 2.71
Funders
- Nanjing University