A predictive nomogram of thyroid nodules based on deep learning ultrasound image analysis
Age, deep learning predicted values, and echogenic foci can be used as independent predictive factors to distinguish between benign and malignant thyroid nodules. The nomogram integrates deep learning and patient clinical ultrasound characteristics, yielding higher accuracy than the application of C-TIRADS or deep learning models alone.
Authors
- Xiaoxiao Cui (ORCID: https://orcid.org/0000-0003-3815-098X)
- Kai He (ORCID: https://orcid.org/0000-0002-5534-1705)
- Ting Li (ORCID: https://orcid.org/0009-0005-7285-1060)
- Zhi Liu
- Yuan Li (ORCID: https://orcid.org/0000-0003-4743-7261)
- Lulu Zhang (ORCID: https://orcid.org/0000-0001-6065-3669)
- Mei Wu (ORCID: https://orcid.org/0000-0003-4687-3993)
- Xiu-liang Wei
Institutions
- Shandong University (CN)
- Second Hospital of Shandong University (CN)
Publication Details
- Journal
- Frontiers in Endocrinology
- Published
- 2025-04-29
- DOI
- https://doi.org/10.3389/fendo.2025.1504412
- Primary Topic
- Thyroid Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00