Peter van Mourik

150 Chapter 7 FEV 1 response SCC response FEV 1 and SCC 0.0 0.2 0.4 0.6 0.8 1.0 0.0 0.2 0.4 0.6 0.8 1.0 ROC-curve 1 - Specificity Sensitivity AUC = 0.783 (0.623 - 0.942), n=35 AUC = 0.869 (0.748 - 0.990), c. 1.0 0.0 0.2 0.4 0.6 0.8 0.0 0.2 0.4 0.6 0.8 1.0 ROC-curve 1 - Specificity Sensitivity AUC = 0.837 (0.661 - 1.000), n=21 AUC = 0.938 (0.830 - 1.000), a. n=18 AUC = 0.938 (0.830 - 1.000), n=18 ROC-curve 1 - Specificity Sensitivity b. 0.0 0.2 0.4 0.6 0.8 1.0 0.0 0.2 0.4 0.6 0.8 1.0 AUC = 0.711 (0.427 - 0.996), n=14 AUC = 0.767 (0.485 - 1.000), n=13 AUC = 0.694 (0.406 - 0.983), n=13 <40% or >90% Total ≥40% and ≤90% n=33 AUC = 0.853 (0.718 - 0.988), n=31 response Figure 2 - Predicting individual clinical response by using rectal organoids of a patient. (a) ROC-curves of predicting which patient shows a response in ppFEV 1 , SCC and both ppFEV1 and SCC for patients who had a ppFEV 1 ≥40% and ≤90% before the start of treatment. (b) ROC-curves of predicting which patient shows a response in ppFEV 1 , SCC and both ppFEV1 and SCC for patients who had a ppFEV 1 <40% or >90% before the start of treatment. (c) ROC-curves of predicting which patient shows a response in ppFEV 1 , SCC and both ppFEV 1 and SCC for all patients that received treatment.