Pancreatic cysts have always presented as a diagnostic dilemma due to the difficulties in identifying patients with current imaging modalities that could most benefit from surgical intervention. Intraductal papillary mucinous neoplasms (IPMNs) and mucinous cystadenomas (MCNs) carry the highest malignant potential of all pancreatic cysts and pancreatic adenocarcinoma carries a high mortality as the fourth leading cause of cancer-related deaths. However, surgery to remove benign cysts also carries a high morbidity and occasional mortality. Opportunities to identify and reduce pre-cancer lesions must be aggressively pursued. Multidetector helical CT (MDHCT) or an up-to-date MRI is the first diagnostic tool to evaluate a suspected pancreatic lesion. Currently, review by a multidisciplinary group who specialize in pancreatic cysts and pancreatic cancer is advised to review factors such as a patient's comorbidities, the type of surgery needed to remove the cyst and the estimated morbidity and mortality associated with the procedure. Some recent data are emerging to assist with identifying those at highest risk such as cyst fluid analysis, laser endomicroscopy, and artificial intelligence (AI). This article reviews the current status, benefits, challenges and future prospects on diagnosis and treatment of pancreatic cysts. Further prospective randomized control trials are needed to determine the optimal management and treatment for patients with pancreatic cysts.
Keywords: Pancreatic cyst; artificial intelligence (AI); endoscopic ultrasound; intraductal papillary mucinous neoplasm (IPMN); pancreatic adenocarcinoma.
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