Nomogram for predicting cervical lymph node metastasis of papillary thyroid carcinoma using deep learning-based super-resolution ultrasound image
The predictive model constructed using SR reconstructed ultrasound images demonstrated superior performance in predicting preoperative cervical lymph node metastasis in PTC compared to OR images. The nomogram prediction model based on SR images has the potential to enhance the accuracy of predictive models and aid in clinical decision-making.
Authors
- Shuangyi Cao
- Chunquan Zhang (ORCID: https://orcid.org/0000-0002-4709-1603)
- Chujun Wang (ORCID: https://orcid.org/0000-0002-3554-1056)
- Xu Huang (ORCID: https://orcid.org/0000-0002-5361-4394)
- Yu Zhao (ORCID: https://orcid.org/0000-0002-2844-993X)
- Wenhui Chen (ORCID: https://orcid.org/0000-0003-3497-3655)
- Xia Li (ORCID: https://orcid.org/0000-0001-8219-1899)
- Yan Ding (ORCID: https://orcid.org/0000-0001-6956-9260)
Institutions
- Nanchang University (CN)
- First Affiliated Hospital of Jiangxi Medical College (CN)
- Second Affiliated Hospital of Nanchang University (CN)
Publication Details
- Journal
- Discover Oncology
- Published
- 2024-11-24
- DOI
- https://doi.org/10.1007/s12672-024-01601-0
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.40
Funders
- Nanchang University