Prediction of lymph node metastasis in papillary thyroid carcinoma using non-contrast CT-based radiomics and deep learning with thyroid lobe segmentation: A dual-center study
The combined model integrating DLRad and clinical features exhibits good performance in predicting LNM in PTC patients.
Authors
- Jing Tao (ORCID: https://orcid.org/0000-0003-3512-7645)
- Hanling Zeng (ORCID: https://orcid.org/0009-0007-0676-4289)
- Wenjie Tang (ORCID: https://orcid.org/0000-0002-9752-4948)
- Zhuojie Bai
- Yuchen Du (ORCID: https://orcid.org/0000-0002-4723-6884)
- Xuan Wang (ORCID: https://orcid.org/0000-0002-3528-5785)
- You Wang (ORCID: https://orcid.org/0000-0002-0823-3293)
- Hao Wang (ORCID: https://orcid.org/0000-0001-6881-9977)
- Jian He (ORCID: https://orcid.org/0000-0002-8425-3771)
- Di Wu (ORCID: https://orcid.org/0000-0003-1407-3174)
Institutions
- Zhongda Hospital Southeast University (CN)
- Nanjing Drum Tower Hospital (CN)
- Second Affiliated Hospital of Nanjing Medical University (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- European Journal of Radiology Open
- Published
- 2025-02-24
- DOI
- https://doi.org/10.1016/j.ejro.2025.100639
- Primary Topic
- Thyroid Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Nanjing Medical University