Role of imaging biomarkers for prognostic prediction in patients with pancreatic ductal adenocarcinoma

Pancreatic Adenocarcinoma: Imaging Modalities and the Role of Artificial Intelligence in Analyzing CT and MRI Images

Pancreatic ductal adenocarcinoma (PDAC) stands out as the predominant malignant neoplasm affecting the pancreas, characterized by a poor prognosis, in most cases patients being diagnosed in a nonresectable stage. Image-based artificial intelligence (AI) models implemented in tumor detection, segmentation, and classification could improve diagnosis with better treatment options and increased survival. This review included papers published in the last five years and describes the current trends in AI algorithms used in PDAC. We analyzed the applications of AI in the detection of PDAC, segmentation of the lesion, and classification algorithms used in differential diagnosis, prognosis, and histopathological and genomic prediction. The results show a lack of multi-institutional collaboration and stresses the need for bigger datasets in order for AI models to be implemented in a clinically relevant manner.

Pancreatic Cancer Immuno-oncology in the Era of Precision Medicine

Pancreatic malignancies carry a dismal prognosis globally, with pancreatic adenocarcinomas (PDAC) being particularly aggressive and stubborn. Unfortunately, several therapeutic strategies that show promise in other cancers have failed to make sizeable impact on pancreatic tumor outcomes. Responses to immunotherapies are especially rare in pancreatic cancer, and patients are in need of innovative approaches that can result in more durable responses. Current research in preclinical models and humans has suggested this resistance is due to a uniquely inflammatory and dysfunctional tumor microenvironment; these findings lay the groundwork for targeting these barriers and improving outcomes. Clinical analyses have also revealed unprecedented heterogeneity in tumor and stromal biology of PDAC, underscoring the need for more personalized approaches and combinatorial therapies. This review will highlight the current state of translational research focusing on PDAC immunity, summarize ongoing clinical efforts to tackle PDAC vulnerabilities, and underscore some unresolved challenges in implementing therapies more broadly. A better understanding of immune contexture and tumor heterogeneity in this disease will greatly accelerate drug discovery and implementation of precision medicine for PDAC.