Skip to main content
. 2018 Sep 14;36:171–182. doi: 10.1016/j.ebiom.2018.09.007

Fig. 3.

Fig. 3

Use of the constructed radiomics nomogram to estimate DFS and OS for gastric cancer, along with the assessment of the model calibration. (A) Radiomics nomogram for DFS (left) and OS (right). The patient's radiomics score is located on the radiomics score axis. To determine the number of points toward the probability of DFS and OS the patient receives for his or her radiomics score, a line was drawn straight upward to the point axis, and this process was repeated for each variable. The points achieved for each of the risk factors was then summed. The final sum is located on the total point axis. To find the patient's probability of DFS and OS, a line was drawn straight down. Calibration curves of the radiomics nomogram for DFS (left, (B)) and OS (right, (C)) in the training, internal and external validation cohorts show the calibration of each model in terms of the agreement between the estimated and the observed 1-, 3-, and 5-year outcomes. Nomogram-estimated DFS is plotted on the x-axis, and the observed tumor relapse rate is plotted on the y-axis. Diagonal dotted line represents a perfect estimation by an ideal model, in which the estimated outcome perfectly corresponds to the actual outcome. Solid line represents performance of the nomogram, a closer alignment of which with the diagonal dotted line represents a better estimation. (B) (C): Training cohort (upper panels); Internal validation cohort (middle panels); External validation cohort (lower panels).