首页|A Nomogram-based Model to Predict Neoplastic Risk for Patients with Gallbladder Polyps
A Nomogram-based Model to Predict Neoplastic Risk for Patients with Gallbladder Polyps
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NETL
NSTL
维普
万方数据
Background and Aims: Gallbladder polyp (GBP) assess-ment aims to identify the early stages of gallbladder car-cinoma. Many studies have analyzed the risk factors for malignant GBPs. In this retrospective study, we aimed to establish a more accurate predictive model for potential ne-oplastic polyps in patients with GBPs. Methods: We devel-oped a nomogram-based model in a training cohort of 233 GBP patients. Clinical information, ultrasonographic find-ings, and blood test findings were analyzed. Mann-Whitney U test and multivariate logistic regression analyses were used to identify independent predictors and establish the nomogram model. An internal validation was conducted in 225 consecutive patients. Performance and clinical bene-fit of the model were evaluated using receiver operating characteristic curves and decision curve analysis (DCA), re-spectively. Results: Age, cholelithiasis, carcinoembryonic antigen, polyp size, and sessile shape were confirmed as independent predictors of GBP neoplastic potential in the training group. Compared with five other proposed predic-tion methods, the established nomogram model presented better discrimination of neoplastic GBPs in the training co-hort (area under the curve [AUC]: 0.846) and the validation cohort (AUC: 0.835). DCA demonstrated that the greatest clinical benefit was provided by the nomogram compared with the other five methods. Conclusions: Our developed preoperative nomogram model can successfully be used to evaluate the neoplastic potential of GBPs based on simple clinical variables that maybe useful for clinical decision-making.
Gallbladder polypsNeoplastic polypPreoperative diagnosisNom-ogram model
NETL
NSTL
维普
万方数据
