Establishment of a nomographic chart model based on CT imaging characteristics and clinical data in predicting the recurrence risk of pleomorphic adenoma of salivary gland
Objective:To explore the establishment of a nomographic chart model based on computed tomography(CT)imaging characteristics and clinical data in predicting the recurrence risk of pleomorphic adenoma(PA)of salivary gland.Methods:Clinical and CT imaging data of 99 PA patients admitted to Cangzhou central hospital from November 2019 to November 2022 were retrospectively analyzed,and they were divided into recurrence group(15 cases)and non-recurrence group(84 cases)according to whether occurred recurrence.The influence factors of PA recurrence were analyzed by univariate analysis and multivariate logistic regression,and the risk prediction model was constructed.The predictive value of the model was analyzed by receiver operating characteristic(ROC)curve.Results:Multivariate Logistic regression analysis showed that the tumor site was at deep lobe,the capsule of tumor was incomplete and the surrounding tissue of tumor existed invasion were respectively independent risk factors for PA recurrence(OR=79.730,67.194,479.801,P<0.05).The area under curve(AUC)of ROC curve of the risk prediction model based on the above three indexes was 0.960,and the sensitivity and specificity were respectively 80.0%and 97.6%,which were higher than each single index in the model.There was no significant difference between this risk predictive model and actual observation value(x2=0.823,P=0.935).Conclusion:The tumor site is deep lobe,the capsule of tumor is incomplete,and the surrounding tissue of tumor exists invasion are independent risk factors of PA recurrence.The risk prediction model based on the above three indexes has higher predictive value for PA recurrence,which can provide theoretical basis for preventing PA recurrence.
CT imaging featuresClinical dataPleomorphic adenomaRecurrence risk predictionLine diagram model
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