Performance of clinical combinatorial nomogram model for DL radiomics
hematuria, IgAN, IgA nephropathy, non-IgAN
HEMATURIA, IGA NEPHROPATHY
We developed a combined nomogram to noninvasively differentiate IgAN and non-IgAN. The nomogram model combines five features, including DL_model score, Rad_model score, IgA, and hematuria. Each feature contributed to the nomogram output score based on a specific coefficient, and the total score of each patient was then calculated to determine the probability of IgAN. The AUC for the training and testing cohorts were 0.920 and 0.884 (The combined nomogram model. (A) The values of DL Scorec, rad score and clinical characteristics can be converted into quantitative values according to the points axis. After summing the individual points to achieve the final sum shown on the total points axis, the evaluation of this IgA nephropathy is shown. (B) Calibration plots of nomogram for predicting IgAN.The decision curve analysis for the five model. (A) the decision curve analysis in the training cohort. (B) the decision curve analysis in the testing cohort.