Endoscopic Resection of Malignancies in the Upper GI Tract: A Clinical Algorithm
- PMID: 38873624
- PMCID: PMC11166903
- DOI: 10.1159/000538040
Endoscopic Resection of Malignancies in the Upper GI Tract: A Clinical Algorithm
Abstract
Background: Malignancies in the upper gastrointestinal tract are amenable to endoscopic resection at an early stage. Achieving a curative resection is the most stringent quality criterion, but post-resection risk assessment and aftercare are also part of a comprehensive quality program.
Summary: Various factors influence the achievement of curative resection. These include endoscopic assessment prior to resection using chromoendoscopy and HD technology. If resectability is possible, it is particularly important to delineate the lateral resection margins as precisely as possible before resection. Furthermore, the correct choice of resection technique depending on the lesion must be taken into account. Endoscopic submucosal dissection is the standard for esophageal squamous cell carcinoma and gastric carcinoma. In Western countries, it is becoming increasingly popular to treat Barrett's neoplasia over 2 cm in size and/or with suspected submucosal infiltration with en bloc resection instead of piece meal resection. After resection, risk assessment based on the histopathological resection determines the patient's individual risk of lymph node metastases, particularly in the case of high-risk lesions. This is categorized according to the current literature.
Key messages: This review presents clinical algorithms for endoscopic resection of esophageal SCC, Barrett's neoplasia, and gastric neoplasia. The algorithms include the pre-resection assessment of the lesion and the resection margins, the adequate resection technique for the respective lesion, as well as the post-resection risk assessment with an evidence-based recommendation for follow-up therapy and surveillance.
Keywords: Barrett’s neoplasia; Endoscopic submucosal dissection; Gastric neoplasia; Risk classification; Surveillance.
© 2024 S. Karger AG, Basel.
Conflict of interest statement
Invited lectures and support of training events were provided by Boston Scientific, Olympus, Falk Foundation, Fujifilm, Pentax, and Ovesco. The author was a consultant for Fujifilm. The author has no company shares or units. The author was a member of the following professional associations: DGIM, DGVS, DG-EBV, ESGE.
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