Management Guidelines for Pancreatic Cystic Lesions: Should we Adopt or Adapt the Current Roadmaps?

Author:

Vilas-Boas FilipeORCID,Macedo Guilherme

Abstract

Pancreatic cystic lesions are very prevalent, especially in elderly patients and are increasingly being diagnosed because of the massive use of cross sectional imaging. Our knowledge about the natural history of these lesions is limited, especially in the case of intraductal papillary mucinous neoplasms. This fact explains why scientific societies guidelines statements are based on evidence graded as very low quality and helps the understanding of some of the different guidelines recommendations. Several guidelines have been recently revised to incorporate the new evidence published in the literature with the aim to help clinicians make the best decisions. American Gastroenterological Association guidelines, a revision of the International Consensus Guidelines, the American College of Gastroenterology and the European Study Group guidelines are the most recent. Herein we review the current guidelines on pancreatic cysts and focus our discussion on controversies and updates about the best imaging modalities, the indications for endoscopic ultrasound guided fine needle aspiration, cyst fluid analysis, indications for resection and surveillance strategies.

Publisher

Romanian Society of Gastroenterology and Hepatology

Subject

Gastroenterology

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Multicentre Analysis of Cost, Uptake and Safety of Canadian Multidisciplinary Pancreatic Cyst Guidelines;Journal of the Canadian Association of Gastroenterology;2023-02-28

2. Advances in the Diagnosis of Pancreatic Cystic Lesions;Diagnostics;2022-07-22

3. International Consensus Guidelines for the Management of Intraductal Papillary Mucinous Neoplasms;The IASGO Textbook of Multi-Disciplinary Management of Hepato-Pancreato-Biliary Diseases;2022

4. Advances in the management of pancreatic cystic neoplasms;Current Problems in Surgery;2021-06

5. Automated Detection of Pancreatic Cystic Lesions on CT Using Deep Learning;Diagnostics;2021-05-19

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