Development of a radiomics-based model to predict occult liver metastases of pancreatic ductal adenocarcinoma: a multicenter study

Abstract

Background: Undetectable occult liver metastases block the long-term survival of pancreatic ductal adenocarcinoma (PDAC). This study aimed to develop a radiomics-based model to predict occult liver metastases and assess its prognostic capacity for survival. Materials and Methods: Patients who underwent surgical resection and were pathologically proven with PDAC were recruited retrospectively from five tertiary hospitals between January 2015 and December 2020. Radiomics features were extracted from tumors, and the radiomics-based model was developed in the training cohort using LASSO-logistic regression. The model’s performance was assessed in the internal and external validation cohorts using the area under the receiver operating curve (AUC). Subsequently, the association of the model’s risk stratification with progression-free survival (PFS) and overall survival (OS) was then statistically examined using Cox regression analysis and the log-rank test. Results: A total of 438 patients (mean [standard deviation] age, 62.0 [10.0] years; 255 [58.2%] male) were divided into the training cohort (n = 235), internal validation cohort (n = 100), and external validation cohort (n = 103). The radiomics-based model yielded an AUC of 0.73 (95% confidence interval [CI]: 0.66-0.80), 0.72 (95% CI: 0.62-0.80), and 0.71 (95% CI: 0.61-0.80) in the training, internal validation, and external validation cohorts, respectively, which were higher than the preoperative clinical model. The model’s risk stratification was an independent predictor of PFS (all P < 0.05) and OS (all P < 0.05). Furthermore, patients in the high-risk group stratified by the model consistently had a significantly shorter PFS and OS at each TNM stage (all P < 0.05). Conclusion: The proposed radiomics-based model provided a promising tool to predict occult liver metastases and had great significance in prognosis.