A Nomogram-Based Model to Predict Neoplastic Risk For Patients With Gallbladder Polyps

Abstract

Background: Gallbladder polyps (GBPs) assessment seeks to identify early-stage gallbladder carcinoma (GBC). Many studies have analyzed the risk factors for malignant GBPs, and we try to establish a more accurate predictive model for potential neoplastic polyps in patients with GBPs.Methods: This retrospective study developed a nomogram-based model in a training cohort of 233 GBP patients. Clinical information, ultrasonographic findings, and blood tests were retrospectively analyzed. Spearman correlation and logistic regression analysis were used to identify independent predictors and establish a nomogram model. An internal validation was conducted in 225 consecutive patients. Performance of models was evaluated through the receiver operating characteristic curve (ROC) and decision curve analysis (DCA). Results: Age, cholelithiasis, CEA, polyp size and sessile were confirmed as independent predictors for neoplastic potential of GBPs in the training group. Compared with other proposed prediction methods, the established nomogram model presented good discrimination ability in the training cohort (area under the curve [AUC]: 0.845) and the validation cohort (AUC: 0.836). DCA demonstrated the most clinical benefits can be provided by the nomogram. Conclusions: Our developed preoperative nomogram model can successfully evaluate the neoplastic potential of GBPs based on simple clinical variables, that maybe useful for clinical decision-making.

Prediction of neoplastic gallbladder polyps in patients with different age level based on preoperative ultrasound: a multi-center retrospective real-world study

“…Therefore, establishing predictive models based on independent risk factors can effectively improve the diagnostic ability. At present, the prediction models developed for neoplastic polyps or GPs with malignant tendency were general population models, and there are no prediction models for neoplastic polyps in young adults patients or neoplastic polyps in elderly patients [12,[21][22][23]. We previously established a nomogram prediction model for long diameter10-15 mm GPs with malignant tendency, but did not provide follow-up and treatment strategies for different age groups [24].…”

“…In addition, the prevalence of neoplastic polyps increases sharply with age and is associated with GBC [5,12,13]. An age criterion is also commonly conducted to guide management [10], unfortunately, the guidelines do not recommend follow-up strategies for different age groups.…”

Ppb-Level Ammonia Sensor for Exhaled Breath Diagnosis Based on UV-DOAS Combined with Spectral Reconstruction Fitting Neural Network

“…46 In addition, our previous research on UV absorption spectroscopy combined with neural network has successfully achieved the sensor for fractional exhaled nitric oxide (FeNO). 47 The above research methodology demonstrates the combination of neural network and spectroscopic techniques to achieve concentration inversion of ultratrace gases.…”