The study demonstrates that delta radiomic features (DRFs), when combined with clinical variables, are effective in predicting resection margin status (RMS) and overall survival (OS) in neoadjuvant-treated pancreatic cancer patients. The models outperform clinical feature-based and other radiomics feature-based models in predicting OS, disease-free survival (DFS), and RMS. These externally validated, predictive/prognostic DRF models provide valuable insights into treatment dynamics and offer a promising tool in preoperative predictions for pancreatic ductal adenocarcinoma patients.
Journal Article by Wang K, Karalis JD (…) Ligorio M et 18 al. in Ann Surg Oncol
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