Can visceral fat parameters based on computed tomography be used to predict occult peritoneal metastasis in gastric cancer?
Liming Li, Lei-Yu Feng, Chenchen Liu, Wenpeng Huang, Yang Yu, Peng-Yun Cheng, Jianbo Gao
Abstract
BACKGROUND: The preoperative prediction of peritoneal metastasis (PM) in gastric cancer would prevent unnecessary surgery and promptly indicate an appropriate treatment plan. AIM: To explore the predictive value of visceral fat (VF) parameters obtained from preoperative computed tomography (CT) images for occult PM and to develop an individualized model for predicting occult PM in patients with gastric carcinoma (GC). METHODS: = 85) groups. The clinical characteristics and VF parameters of two regions of interest (ROIs) were collected. Univariate and stratified analyses based on VF volume were performed to screen for predictive characteristics for occult PM. Prediction models with and without VF parameters were established by multivariable logistic regression analysis. RESULTS: = 0.339). CONCLUSION: The mean attenuation of VF is a potential auxiliary parameter for predicting occult PM in patients with GC.