Multimodal ultrasound combined with fine needle puncture features to construct a column chart for predicting cervical lymph node metastasis in papillary thyroid carcinoma
Objective The application value of analyzing the characteristics of multimodal ultrasound combined with fine needle aspiration and constructing a nomogram model to predict cervical lymph node metastasis in papillary thyroid carcinoma.Methods We collected data from 86 patients with papillary thyroid carcinoma at our hospital.These patients were categorized into metastatic and non-metastatic groups based on their postoperative cervical lymph node pathology results.Through univariate and multivariate logistic regression analyses,we identified independent predictors for cervical lymph node metastasis in thyroid cancer.Subsequently,a nomogram was constructed to predict the risk of cervical lymph node metastasis in thyroid cancer.Results Gender,elasticity score,nodule margin,maximum nodule diameter,blood flow grade,A-SD,the elasticity ratio(Shell/A),and puncture displacement were identified as independent influencing factors for lymph node metastasis in thyroid cancer post-screening(P<0.05).The area under the ROC curve was 0.975(95%CI:0.944-1.000),with a sensitivity of 90.01%,specificity of 100%,and an accuracy of 95.39%;The equation for the ROC curve was 5.885×elasticity score-3.201×gender+0.158×nodule margin+6.718×blood flow grade+0.37×maximum nodule diameter+0.481×A-SD+0.901×puncture displacement-40.165×elasticity ratio Shell/A.The HL test and calibration curve indicated that the model exhibits good calibration;The decision curve analysis demonstrated that the ROC curve provided the greatest clinical efficacy at the same prediction probability.Conclusion Constructing a column chart to predict lymph node metastasis in thyroid cancer is helpful for clinical diagnosis and treatment.
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