Feature selection and clinical model construction
tuberculoma, PTB, diabetes
REGRESSION, TUBERCULOMA, CAVITY, DIABETES
The multivariate analysis showed that there were significant differences between PNMA and PTB in smoking, diabetes history, lesion located in the lower lobe, satellite lesions, cavity or vacuole, plain CT value and ΔCTV. The clinical prediction model was established by logistic regression based on the seven features. The AUC values of the clinical models in differentiating PNMA from tuberculoma were 0.918 and 0.888 in the training group and test group, respectively. See Table Multivariate analysis to identify significant factors for PTB and PNMA