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DOI: 10.1055/a-2590-1802
Endoscopic full-thickness resection: a minimally invasive approach for jejunal submucosal tumors
Supported by: The Zhejiang Province Traditional Chinese Medicine Science and Technology Project Youth Talent Program 2021ZQ086
Supported by: The Research Fund of National Health Commission WKJ-ZJ-2435
Supported by: The Fourth Batch of Zhejiang Province “Ten Thousand People Plan” Scientific and Technological Innovation Leaders 2020R52024
A 63-year-old woman was found with a blood-rich nodule on the posterior wall of the proximal jejunum during an enhanced abdominal CT ([Fig. 1]). The patient was asymptomatic and had nothing unusual in physical examination or laboratory tests. Enhanced MR also suggests an abnormal signal nodule ([Fig. 2]). Colonoscopy reveals a submucosal bulge in the upper jejunum. Further endoscopic ultrasonography showed a homogeneous hypoechoic interior of the lesion, originating in the lamina propria ([Fig. 3]). Because of the tumor’s position within the deep muscularis propria and near the serosal layer, full-thickness resection was performed ([Video 1]). The lesion measures approximately 13 mm × 10 mm × 8 mm in vitro. The pathological diagnosis was ectopic pancreatic tissue ([Fig. 4]). The procedure went successfully. Postoperatively, the patient recovered well with no adverse events.








Management of small bowel masses is considered problematic. Although endoscopic treatment offers minimally invasive options, the difficulty of maneuver remains a great challenge. We are the first to successfully implement the EFTR technique for the complete removal of jejunal tumors. Despite the artificial perforation inevitably associated with total resections, the innovation and application of endoscopic closure technology promotes mucosal healing, enhances the safety of the procedure and broadens the indications for EFTR.
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Conflict of Interest
The authors declare that they have no conflict of interest.
Correspondence
Publication History
Article published online:
14 May 2025
© 2025. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/).
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