Prediction of solid pseudopapillary tumor invasiveness of the pancreas based on multiphase contrast-enhanced CT radiomics nomogram
Multiphase contrast-enhanced CT radiomics can noninvasively predict the invasiveness of PSPN. In addition, the radiomics nomogram combining radiomics signature and traditional CT signs can further improve classification ability.
Authors
- Jie Zhu (ORCID: https://orcid.org/0000-0002-3297-5174)
- Aiyun Sun
- Yuguo Wei
- Dabin Ren
- Zishan Liu (ORCID: https://orcid.org/0000-0002-6066-1092)
- Tingfan Wu
- Xiaxia He (ORCID: https://orcid.org/0000-0002-7314-1002)
- Guoyu Wang (ORCID: https://orcid.org/0000-0002-9234-1747)
- Yongtao Wang (ORCID: https://orcid.org/0000-0002-5640-4720)
- Liqiu Liu
Institutions
- Ningbo Medical Center Lihuili Hospital (CN)
- Taizhou Central Hospital (CN)
- United Imaging Healthcare (China) (CN)
- Taizhou University (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-04-07
- DOI
- https://doi.org/10.3389/fonc.2025.1513193
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36
Funders
- Taizhou University