| Objective: To explore the application of a nomogram prediction model based on clinical and imaging parameters in the evaluation of the efficacy of extracorporeal shock wave lithotripsy (ESWL) for ureteral calculi>1cm. Methods: 106 patients with ureteral calculi admitted to our hospital from March 2022 to March 2024 were selected as the research objects, all patients were treated with ESWL, and patients with ureteral calculi were divided into success group (n=74 cases) and failure group (n=32 cases) according to the residual stones after ESWL treatment for up to three times. The clinical data and imaging parameters [degree of hydronephrosis (HG), stone density (MSD), upper ureteral diameter (PUD), maximum ureteral wall thickness (UWT), maximum upper and lower diameter (MCD), stone skin distance (SSD), maximum transverse diameter (MATD), minimum transverse diameter (MITD)] were compared in two groups. The influencing factors of ESWL treatment failure in patients with ureteral calculi>1cm were analyzed by multivariate logistic regression analysis. A nomogram prediction model was constructed, the predictive efficacy of the nomogram prediction model for the failure of ESWL treatment in patients with ureteral calculi>1cm were evaluated by receiver operating characteristic (ROC) curve. Results: The proportion of multiple stones, the proportion of upper/middle stones, the proportion of severe HG, age, MSD, PUD, UWT, MCD, MATD and MITD in failure group were higher than those in success group (P<0.05). Upper/middle stone location, age, multiple stones, severe HG, MSD, PUD, UWT, MCD, MATD and MITD were independent risk factors for ESWL treatment failure in patients with ureteral calculi>1cm (P<0.05). The prediction curve of the nomogram prediction model was in good agreement with the ideal curve, ROC curve analysis showed that, the area under the curve (AUC) of the nomogram prediction model for predicting the failure of ESWL treatment in patients with ureteral calculi>1 cm was 0.894. Conclusion: The nomogram prediction model based on stone location, age, number of stones, HG, MSD, PUD, UWT, MCD, MATD, and MITD has a high predictive value for ESWL treatment failure in patients with >1cm ureteral calculi. |
