Lu W, Zhong L, Dong D, et al. - Whether the use of radiomics to preoperatively predict cervical lymph node (LN) metastasis in papillary thyroid carcinoma (PTC) patients is feasible, was investigated in this study including a training cohort (n = 154) and a validation cohort (n = 67) of 221 PTC patients. Findings revealed a significant association of the radiomic signature with cervical LN status. Compared with any radiomic sub-signatures devised by support vector machine, a better predictive performance was displayed by the radiomic signature. In the training cohort, an improved predictive value (area under the curve (AUC), 0.807 to 0.867) was obtained when radiomic signature was added to the nomogram; this was confirmed in an independent validation cohort (AUC, 0.795 to 0.822). In both cohorts, good agreement was seen using calibration curves. Overall, an improved preoperative prediction of cervical LN metastasis in PTC patients was enabled using radiomic nomogram.