Summary: Background: Pancreatic cystic lesions are relatively common findings, and their prevalence continues to rise, which is also related to the expansion of imaging methods. Up to 15% of pancreatic cancers arise from mucinous cystic tumours of the pancreas, primarily from intraductal papillary mucinous neoplasia (IPMN). Needle-based confocal laser endomicroscopy (nCLE) represents an advanced diagnostic method with the potential to improve the accuracy of diagnosing focal pancreatic lesions. Aim: The aim of the work is to provide a recent overview of the position of nCLE in the diagnosis of pancreatic cystic lesions and some of our own experiences. The nCLE method is based on so-called real-time optical biopsy, which brings better diagnostic results compared to traditional methods such as CT, MRI/MRCP, and EUS, as confirmed by the authors‘ own data. Although nCLE offers certain advantages, its wider use in clinical practice is limited by the high costs of equipment, technical difficulties during examination, and the need for thorough training of endoscopists. The integration of all diagnostic procedures (EUS, cytology, nCLE, and next-generation sequencing) into artificial intelligence algorithms could minimize the disadvantages of individual methods and increase the overall efficiency of diagnosing pancreatic cystic lesions. Conclusion: nCLE represents an innovative method for diagnosing pancreatic cystic lesions, which, in combination with other procedures (microforceps biopsy, next-generation sequencing, assessment of nCLE findings, and overall malignancy risk using artificial intelligence), can further enhance its diagnostic accuracy in this context. Key words: needle-based confocal laser endomicroscopy – pancreatic cystic lesion – optical biopsy – endoscopic ultrasound – artificial intelligence
Read full abstract