【】Objective:Based on multimodal ultrasound and clinical data, a prediction model of cervical lymph node metastasis (CLNM) in patients with papillary thyroid microcarcinoma (PTMC) was established.Methods:Eighty-two PTMC patients diagnosed and treated in our hospital from January, 2022 to March, 2023 were examined by conventional ultrasound, contrast-enhanced ultrasound and microvascular imaging (SMI) before operation, and were divided into CLNM group (32 cases) and non-CLNM group (50 cases) according to the presence or absence of CLNM. The multimodal ultrasound data and clinical data of the two groups were compared, and the risk factors of CLNM in PTMC patients were analyzed. The CLNM prediction of PTMC patients was constructed based on multimodal ultrasound and clinical characteristics.Result:Compared with the non-CLNM group, CLNM group had significant differences in age, maximum diameter of focus, number of microcalcifications, enhancement of early capsule continuity and thyroid infiltration (P<0.05). According to binary Logistic regression analysis, older age is the protective factor of CLNM in PTMC patients (P<0.05), and the largest diameter of lesions > 1.0cm, the number of microcalcifications > 5, the interruption of early capsule enhancement and thyroid infiltration are the risk factors of CLNM in PTMC patients (P<0.05). Hosmer-Lemeshow test shows that χ2=6.868, P=0.551, and the model has a good goodness of fit. ROC analysis showed that the AUC, Jordan index, sensitivity and specificity of the prediction model of CLNM in PTMC patients based on multimodal ultrasound and clinical features were 0.924, 0.733, 81.3%, 92.0%, 95%CI (0.864,0.984) respectively, and the accuracy was 87.8%.Conclusion:The prediction model of CLNM in PTMC patients based on multimodal ultrasound and clinical features in this study has good prediction value and can provide auxiliary reference for the prediction of CLNM in PTMC patients.