Table 2.
Different clinical applications of radiomic models (features) in thyroid cancer.
| References | Case numbers | Radiomic method | Results |
|---|---|---|---|
| [29] | 55 | 18F-FDG-PET/CT | Radiomic features had the potential to diagnose malignant thyroid cancer |
| [39] | 44 | MRI | The textural analysis classifies thyroid nodules with high sensitivity and specificity on multi-institutional DW-MRI data sets |
| [34] | 450 | US | US-based radiomics had the potential to predict the lymph node metastasis of PTC preoperatively |
| [35] | 189 | US | The accuracy of the US-based radiomic method was much higher than that of US examination in the prediction of metastasis of PTC |
| [36] | 43 | MRI | Radiomic models may have the potential to differentiate benign from malignant nodules |
| [37] | 527 | US | Radiomic features had limited values as a noninvasive biomarker for predicting clinical aggressive behaviors |
| [38] | 400 | US | US radiomic features of the primary tumor were associated with lateral cervical lymph node status |
| [40] | 1576 | US | A CADx system using CNN-combinations may help radiologists make decisions by overcoming interobserver variability when assessing thyroid nodules on US |
| [41] | 624 | CT | Radiomic model had the potential to predict ETE preoperatively in patients with PTC |
| [42] | 768 | US | Radiomic features were significantly associated with disease-free survival |