Risk of cervical lymph node metastasis of thyroid micropapillary carcinoma predicted by constructing a nomogram based on contrast-enhanced ultrasound features
Objective To construct a nomogram model for predicting the risk of cervical lymph node metas-tasis(LNM)by analyzing the clinical data and contrast-enhanced ultrasound(CEUS)features of the pa-tients with papillary thyroidmicrocarcinoma(PTMC),so as toprovide a basis for rational and standardized clinical decision-making.Methods Nodal data were collected from the patients with PTMC who under-went surgical treatment at the hospital from December 1,2020 to December 31,2021.A total of 404 nod-ules were randomly divided into 282 in the modeling group and 122 in the validation group according to 7:3 by random function.Logistic regression analysis was used to screen for factors associated with cervical lymph node metastasis in PTMC.The diagnostic efficacy of the model was assessed in terms of area under curve(AUC),and the validation group data were applied for external validation.Results The model showed that nodule margin,mulifocality,subcapsular growth or capsular invasion,halo and wash-out pat-tern were the risk factors for cervical lymph node metastasis(P＜0.05).The AUC of themodeling group was 0.747(0.690-0.804),with an optimal cut-of f value of 0.430,corresponding to a sensitivity of 0.65 and a specificity of 0.73.The AUC of thevalidation group was 0.778(0.697-0.860),with an optimal cut-off value of 0.419,corresponding to a sensitivity of 0.64 and a specificity of 0.81.Conclusion The-nomogram constructed in this study can individually predict the risk of cervical lymph node metastasis in PTMC.Routine ultrasound and CEUS features can help to identify risk groups early and guide clinical de-cision-making.
万方数据
维普
