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Fig. 5 | BMC Cancer

Fig. 5

From: Prediction of serosal invasion in gastric cancer: development and validation of multivariate models integrating preoperative clinicopathological features and radiographic findings based on late arterial phase CT images

Fig. 5

A nomogram based on a multivariate logistic regression model for predicting the serosal invasion of gastric cancer in the primary cohort using the variables of CA199, CA724, differentiation degree, ulceration, Ī”mean P-A, mean, minimum, and 75th percentile. CA, carbohydrate antigen

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