Figures & data
Table 1 The comparison of demographic and clinicopathological factors between training cohort and validation cohort
Table 2 Univariate and multivariate logistic analyses of liver metastasis in patients PDAC
Figure 1 Nomograms predicting risk of the liver metastasis in patients with pancreatic ductal adenocarcinoma (A, model 1; B, model 2).
Notes: Model 1: predictive model consisted of clinical and pathological factors; model 2: predictive model consisted of model 1 and additional distant metastatic sites.
Abbreviation: LN, lymph node.
![Figure 1 Nomograms predicting risk of the liver metastasis in patients with pancreatic ductal adenocarcinoma (A, model 1; B, model 2).Notes: Model 1: predictive model consisted of clinical and pathological factors; model 2: predictive model consisted of model 1 and additional distant metastatic sites.Abbreviation: LN, lymph node.](/cms/asset/0809acce-1fc6-4983-9210-1962f8d7a0f3/dcmr_a_12186437_f0001_b.jpg)
Figure 2 The calibration plots and ROC curves of model 1 in the training cohort (A and C, respectively) and the validation cohort (B and D, respectively).
Notes: Model 1: predictive model consisted of clinical and pathological factors.
Abbreviation: ROC, receiver operating characteristic.
![Figure 2 The calibration plots and ROC curves of model 1 in the training cohort (A and C, respectively) and the validation cohort (B and D, respectively).Notes: Model 1: predictive model consisted of clinical and pathological factors.Abbreviation: ROC, receiver operating characteristic.](/cms/asset/44762a01-0816-4860-916b-0b13a1d1a419/dcmr_a_12186437_f0002_c.jpg)
Figure 3 The calibration plots and ROC curves of model 2 in the training cohort (A and C, respectively) and validation cohort (B and D, respectively).
Notes: Model 2: predictive model consisted of model 1 and additional distant metastatic sites.
Abbreviation: ROC, receiver operating characteristic.
![Figure 3 The calibration plots and ROC curves of model 2 in the training cohort (A and C, respectively) and validation cohort (B and D, respectively).Notes: Model 2: predictive model consisted of model 1 and additional distant metastatic sites.Abbreviation: ROC, receiver operating characteristic.](/cms/asset/f3db1151-96c8-4c1b-a02c-affbc18f9ca2/dcmr_a_12186437_f0003_c.jpg)
Table 3 Comparison of the C-index values and likelihood ratio tests between two models
Figure 4 Decision curve analysis for models 1 and 2. The y-axis represents net benefit. The x-axis shows the threshold probability. “All” refers to the assumption that all patients have liver metastasis and “none” to the assumption that no patient had liver metastasis.
Notes: Model 1: predictive model consisted of clinical and pathological factors; model 2: predictive model consisted of model 1 and additional distant metastatic sites.
![Figure 4 Decision curve analysis for models 1 and 2. The y-axis represents net benefit. The x-axis shows the threshold probability. “All” refers to the assumption that all patients have liver metastasis and “none” to the assumption that no patient had liver metastasis.Notes: Model 1: predictive model consisted of clinical and pathological factors; model 2: predictive model consisted of model 1 and additional distant metastatic sites.](/cms/asset/d4fb5bc6-ae21-416b-bb9f-d52186de84bb/dcmr_a_12186437_f0004_c.jpg)