Prediction of Malignant Thyroid Nodules Using ¹⁸F-FDG PET/CT–Based Radiomics Features in Thyroid Incidentalomas

Abstract

Objective 

The purpose of the current study was to evaluate the diagnostic performances of ¹⁸F-FDG PET/CT–based radiomics features for prediction of malignant thyroid nodules (TNs) in thyroid incidentaloma (TI).

Methods 

PubMed, Cochrane database, and EMBASE database, from the earliest available date of indexing through December 31, 2022, were searched for studies evaluating diagnostic performance of ¹⁸F-FDG PET/CT–based radiomics features for prediction of malignant TNs in TI. We determined the sensitivities and specificities across studies, calculated positive and negative likelihood ratios (LRs; positive and negative LRs), and estimated pooled area under the curve.

Results 

Across 5 studies (518 patients), the pooled sensitivity of ¹⁸F-FDG PET/CT was 0.77 (95% confidence interval [CI], 0.67–0.84), and a pooled specificity was 0.67. Likelihood ratio syntheses gave an overall positive LR of 2.3 (95% CI, 1.5–3.6) and negative LR of 0.35 (95% CI, 0.26–0.47). The pooled diagnostic odds ratio was 7 (95% CI, 4–12). The pooled area under the curve of fixed effects was 0.763 (95% CI, 0.736–0.791), and that of random effects was 0.763 (95% CI, 0.721–0.805).

Conclusion 

¹⁸F-FDG PET/CT–based radiomics features showed a good diagnostic performance for prediction of malignant TNs in TI.