AUTHOR=Han Shuai , Liu Yu , Li Xiaohang , Jiang Xiao , Li Baifeng , Zhang Chengshuo , Zhang Jialin 

TITLE=Development and Validation of a Preoperative Nomogram for Predicting Benign and Malignant Gallbladder Polypoid Lesions

JOURNAL=Frontiers in Oncology

VOLUME=Volume 12 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/oncology/articles/10.3389/fonc.2022.800449

DOI=10.3389/fonc.2022.800449

ISSN=2234-943X

ABSTRACT=Purpose: To develop and validate a preoperative nomogram of differentiating benign and malignant gallbladder polypoid-lesions (GPs) combining clinical and radiomics features.
Methods: The clinical and imaging data of 195 GPs patients were reviewed with pathologically confirmed from April 2014 to May 2021. All patients were randomly divided into the training and testing cohort. Radiomics features based on 3 sequences of contrast-enhanced computed tomography were extracted by the Pyradiomics package in python and the nomogram further combined with clinical parameters was established by multiple logistic regression. The performance of the nomogram was evaluated by the discrimination and calibration. 
Results: Among 195 GPs patients, 132 patients were pathologically benign, and 63 patients were malignant. To differentiate benign and malignant GPs, the combined model achieved an area under curve (AUC) of 0.950 as compared to the radiomics model and clinical model with AUC of 0.929 and 0.925 in training cohort, respectively. Further validation showed that the combined model contributes to better sensitivity and specificity in training and testing cohort by the same cutoff value although clinical model had an AUC of 0.943, which was higher than 0.942 of combined model in testing cohort. 
Conclusion: This study develops a nomogram based on the clinical and radiomics features for the highly-effective differentiation and prediction of benign and malignant GPs before surgery.