A model based on C-TIRADS combined with SWE for predicting Bethesda I thyroid nodules
We developed a predictive model for predicting Bethesda I thyroid nodules. It might be beneficial to the clinical optimization of FNA strategy in advance and to improve the accurate diagnostic rate of the first FNA, reducing repeated FNA.
Authors
- Yulong Tang (ORCID: https://orcid.org/0000-0002-7794-2181)
- Long Shi (ORCID: https://orcid.org/0000-0002-4909-4349)
- Jia‐Yu Ren
- Wei An (ORCID: https://orcid.org/0000-0002-8625-4209)
- Xin‐Wu Cui (ORCID: https://orcid.org/0000-0003-3890-6660)
- Chaoxue Zhang (ORCID: https://orcid.org/0000-0002-3037-8819)
- Xian‐Ya Zhang
- Shi-Chu Tang
Institutions
- Central South University (CN)
- Hunan Normal University (CN)
- Anhui Medical University (CN)
- First People’s Hospital of Jingmen (CN)
- Hunan Cancer Hospital (CN)
- First Affiliated Hospital of Anhui Medical University (CN)
- Hunan Provincial People's Hospital (CN)
- Second Xiangya Hospital of Central South University (CN)
- Tongji Hospital (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2024-08-30
- DOI
- https://doi.org/10.3389/fonc.2024.1421088
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.40