Diagnostic performance and generalizability of a clinical-ultrasound radiomics model for predicting extrathyroidal extension in thyroid carcinoma: a retrospective study - PubMed
7 hours ago
- #Radiomics
- #Thyroid Carcinoma
- #Extrathyroidal Extension
- The study developed a clinical-ultrasound radiomics model to predict extrathyroidal extension (ETE) in thyroid carcinoma.
- Data from 420 patients at Nanchang University (training/internal validation) and 70 patients at Fudan University (external test) were analyzed retrospectively.
- Radiomics features were extracted from ultrasound images, selected via LASSO, and combined with clinical factors into a nomogram.
- The combined model achieved high AUCs: 0.898 (training), 0.873 (internal validation), and 0.857 (external test), with good calibration and clinical utility.
- Subgroup analysis showed robust performance across tumor sizes, ETE degrees, and Hashimoto's thyroiditis status, suggesting potential as a preoperative diagnostic tool.