Combining radiomics with ultrasound-based risk stratification systems for thyroid nodules: an approach for improving performance

ConclusionRadiomics help predict thyroid malignancy and improve specificity, accuracy, PPV, and unnecessary FNA rate while maintaining the sensitivity of the ACR and ATA guidelines for both expert and nonexpert readers.Key Points• The radiomics score yielded an AUC of 0.85 and 0.75 in the training and test set, respectively.• For all readers, combining a 5% predicted malignancy risk cutoff for the radiomics score with the ACR and ATA guidelines significantly increased specificity, accuracy, and PPV and decreased unnecessary FNA rates, with no decrease in sensitivity.• Radiomics can help predict malignancy in thyroid nodules in combination with risk stratification systems, by improving specificity, accuracy, and PPV and unnecessary FNA rates while maintaining sensitivity for both expert and nonexpert readers.
Source: European Radiology - Category: Radiology Source Type: research