Contrast-enhanced CT radiomics combined with multiple machine learning algorithms for preoperative identification of lymph node metastasis in pancreatic ductal adenocarcinoma
Combining radiomics and machine learning algorithms demonstrated the potential for identifying the LN metastasis of PDAC. As a non-invasive and efficient preoperative prediction tool, it can be beneficial for decision-making in clinical practice.
Authors
- Yue Huang (ORCID: https://orcid.org/0000-0002-0864-8990)
- Qiang Huang (ORCID: https://orcid.org/0000-0001-9392-9342)
- Lingfeng Chen (ORCID: https://orcid.org/0000-0003-0089-6559)
- Guozhong Liu (ORCID: https://orcid.org/0000-0002-9887-4704)
- Qingzhu Ding
- Shangeng Weng (ORCID: https://orcid.org/0000-0001-8802-6616)
- Xiang Zhang (ORCID: https://orcid.org/0000-0002-5234-9410)
- Han Zhang (ORCID: https://orcid.org/0000-0003-2810-5018)
- Denghan Zhang
- Dehua Chen (ORCID: https://orcid.org/0000-0002-1779-8026)
Institutions
- Fujian Medical University (CN)
- First Affiliated Hospital of Fujian Medical University (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2024-09-13
- DOI
- https://doi.org/10.3389/fonc.2024.1342317
- Citations
- 3
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.21