Fig. 5: MDR-based ITH quantification stratified by response status and its influence on model performance. | npj Digital Medicine

Fig. 5: MDR-based ITH quantification stratified by response status and its influence on model performance.

From: Predicting response to neoadjuvant chemotherapy in muscle-invasive bladder cancer via interpretable multimodal deep learning

Fig. 5

ITH quantification was computed with the Median Deviation Ranking (MDR) approach in (a) and (b). a Boxplots of ITH metrics from the WSIs in pCR and no pCR subgroups. P-values computed by the Mann-Whitney U test. b Model performance evaluated by AUROC in different quantile subgroups stratified by ITH quantification. The x-axis indicates k, the number of quantiles, which ranges from 2 to the largest number before the first appearance of invalid quantile subgroups for computing AUROC.

Back to article page