Synergizing traditional CT imaging with radiomics: a novel model for preoperative diagnosis of gastric neuroendocrine and mixed adenoneuroendocrine carcinoma
A combined model based on traditional CT imaging and radiomic features provides a non-invasive and effective preoperative diagnostic method for differentiating g-(MA)NEC from g-ADC.
Authors
- Jialiang Ren (ORCID: https://orcid.org/0000-0001-5616-7035)
- Su-Jun Yang
- Ning Wang (ORCID: https://orcid.org/0000-0003-1410-329X)
- Min Li (ORCID: https://orcid.org/0000-0002-3578-2239)
- Yang Li (ORCID: https://orcid.org/0000-0002-4549-7087)
- Yang You (ORCID: https://orcid.org/0000-0002-8786-0120)
- Gaofeng Shi (ORCID: https://orcid.org/0000-0001-5832-1462)
- Xiaoxiao He (ORCID: https://orcid.org/0000-0003-4581-0712)
- Yu Li (ORCID: https://orcid.org/0000-0002-7670-3998)
Institutions
- Hebei Medical University (CN)
- Handan College (CN)
- Fourth Hospital of Hebei Medical University (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2024-10-23
- DOI
- https://doi.org/10.3389/fonc.2024.1480466
- Citations
- 1
- Primary Topic
- Neuroendocrine Tumor Research Advances
- Type
- article
- Field-Weighted Citation Impact
- 0.39