Prediction of colorectal tumor grade and invasion depth through narrow-band imaging scoring

Figure 4 Development of a model for predicting the tumor grade and depth of submucosal invasion in colorectal tumors based on narrow-band imaging findings. The associations of surface and vascular patterns [as visualized by narrow-band imaging (NBI)] with the tumor grade (A) and depth of submucosa (SM) invasion (B) were analyzed in a multivariate analysis based on a logistic regression model, followed by the stepwise selection of variables from the NBI findings. A scoring system was established based on the statistical values thus estimated, and a model was developed for predicting the tumor grades and SM invasion depths of colorectal tumors. ROC: Receiver operating characteristic; AUC: Area under the curve.