Affiliations 

  • 1 Department of Gastroenterology, Changhai Hospital, Second Military Medical University, 168 Changhai Road, Shanghai, 200433, China
  • 2 Department of Gastroenterology, Raja Perempuan 2 Hospital, Kelantan, Malaysia
  • 3 Department of Gastroenterology, Changhai Hospital, Second Military Medical University, 168 Changhai Road, Shanghai, 200433, China. drliuffeng@hotmail.com
  • 4 Department of Gastroenterology, Changhai Hospital, Second Military Medical University, 168 Changhai Road, Shanghai, 200433, China. zhaoshen-li@hotmail.com
Surg Endosc, 2017 12;31(12):5183-5191.
PMID: 28597288 DOI: 10.1007/s00464-017-5585-y

Abstract

BACKGROUND: Upper gastrointestinal subepithelial tumors (SETs) may harbor potential malignancy. Although it is well recognized that large SETs should be resected, the treatment strategy remains controversial. Compared to surgical resection, endoscopic resection has many advantages such as less invasive, shorter hospital stay, lower costs, and better quality of life. However, Endoscopic resection of large SETs in the cardia is challenging. The purpose of this study was to evaluate the safety and efficacy of endoscopic submucosal dissection (ESD) in the treatment of such SETs.

METHODS: A total of 41 patients with large SETs (≥3 cm in diameter) located in the cardia were involved in the study. All patients underwent ESD. Data on therapeutic outcomes and follow-up were collected, for analysis of risk factors of complication rates.

RESULTS: The average tumor size was 4.7 ± 1.7 cm. The average procedure time was 69.3 ± 32.7 min and the average postoperative hospital stay was 3.5 ± 1.1 days. A total of 41 tumors were removed successfully, in which 35 were leiomyomas, three were gastrointestinal stromal tumors, two were lipomas, and one was gastritis cystica profunda. The en bloc resection rate was 90.2%, and was significantly higher for tumors with a round or oval shape (100%) than for those with an irregular shape (75.0%) (P 

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.