A novel deep learning model based on multimodal contrast-enhanced ultrasound dynamic video for predicting occult lymph node metastasis in papillary thyroid carcinoma
These results demonstrated that the multimodal deep learning dynamic video model could preoperatively predict OLNM in PTC patients. The DL_CEUSvideo model outperformed the DL_image model, while the DL_combined model significantly enhanced sensitivity without compromising specificity.
Authors
- B Wang
- Yun He (ORCID: https://orcid.org/0000-0002-2818-1953)
- Fengqin Yuan
- Jun Ye (ORCID: https://orcid.org/0000-0001-6986-2221)
- Weihua Chen (ORCID: https://orcid.org/0000-0001-8014-0705)
- Rongwei Liu (ORCID: https://orcid.org/0009-0001-8515-8311)
Institutions
- First Affiliated Hospital of GuangXi Medical University (CN)
- First Affiliated Hospital of Gannan Medical University (CN)
Publication Details
- Journal
- Frontiers in Endocrinology
- Published
- 2025-07-24
- DOI
- https://doi.org/10.3389/fendo.2025.1634875
- Citations
- 1
- Primary Topic
- Thyroid Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.29
Funders
- Gannan Medical University