Abstract
BACKGROUNDEndoscopic removal with forceps/baskets is favored in treating submandibular stones due to its minimal invasiveness. However, recent studies have found that endoscopic removal failure (ERF) is not unusual, and stones in such cases still need to be removed with other surgical methods. If the risk of ERF can be predicted preoperatively, it could be helpful for surgeons when choosing the appropriate therapy.AIMTo develop a predictive nomogram for the risk of ERF when treating submandibular stones based on their preoperative clinical features. METHODSA total of 180 patients with 211 submandibular stones treated from January 2012 to December 2020 were included in the current study. Based on the preoperative clinical features of the stones, independent risk factors for ERF were identified by logistic regression analysis. The stones were then randomly divided into training and testing sets. A nomogram was constructed to predict the risk of ERF using the training set and then validated using both sets. The predictive performance of the nomogram was assessed by calibration curves and the concordance index (C-index).RESULTSThree independent predictors, location (P = 0.040), transverse diameter (P < 0.001) and longitudinal diameter (P < 0.001) measured on the cone beam computed tomography (CBCT) images of the submandibular stones, were identified and included in the predictive nomogram. Calibration curves of the nomogram showed good agreement between the predicted and observed probabilities in both sets. The C-index in the training set was 0.917 (95%CI, 0.875-0.959) and that in the testing set was 0.925 (95%CI, 0.862-0.989). CONCLUSIONA nomogram based on the location, transverse and longitudinal diameters on CBCT images of submandibular stones showed satisfactory efficacy in predicting the risk of ERF preoperatively when treating submandibular stones.
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