A single center retrospective analysis of feasibility of diagnostic endoscopic resection for grade 1 or 2 gastric neuroendocrine tumors

Currently, endoscopic resection is recommended for gastric neuroendocrine tumors (G-NETs) < 10 mm. However, a larger G-NETs can also be resected endoscopically. Here, we evaluated the feasibility of diagnostic endoscopic resection of G-NETs. We retrospectively analyzed 31 patients, diagnosed with grade 1 or 2 G-NETs at a single tertiary referral center, between January 2009 and December 2023. Outcomes analyzed included histopathology, complete resection, and metastasis rates. The mean follow-up period was 38.9 ± 38.4 months; mean size of G-NETs was 4.9 ± 3.4 mm, and the most size of G-NETs were < 10 mm (87.1%). The maximal NET diameter was 16 mm. Most NETs were grade 1 (type 1: 90.9%; type 3: 85.0%). None of the enrolled patients showed evidence of lymph node metastasis or local recurrence. Even in R1 resection (19.4%) showed no metastasis during follow-up without additional surgery. Recurrent or multiple G-NETs were observed only in patients with type 1 NETs (27.2%, 3/11). Modified endoscopic mucosal resection (EMR) and endoscopic submucosal dissection (ESD) showed a 100% complete resection rate. After resection, grade 1 or 2 G-NETs had no lymph nodes or distant metastases during the follow-up period. This study suggests that G-NETs smaller than 16 mm can be considered for diagnostic endoscopic resection and this resection may be potentially definitive treatment.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-05-10
DOI
https://doi.org/10.1038/s41598-025-99791-2
Citations
1
Primary Topic
Neuroendocrine Tumor Research Advances
Type
article
Field-Weighted Citation Impact
1.35
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A single center retrospective analysis of feasibility of diagnostic endoscopic resection for grade 1 or 2 gastric neuroendocrine tumors

Jin Ook Jang, Sun-Hwi Hwang, Eun Seok Choi, Cheol Woong Choi et al.
1 citations
Scientific Reports
Neuroendocrine Tumor Research Advances
1.35
article

A single center retrospective analysis of feasibility of diagnostic endoscopic resection for grade 1 or 2 gastric neuroendocrine tumors

Jin Ook Jang, Sun-Hwi Hwang, Eun Seok Choi, Cheol Woong Choi, Jae Hun Chung, Won Jun Jang, Su Bum Park, Dae Gon Ryu, Si Hak Lee, Su Jin Kim
article en
1 citations

Abstract

Currently, endoscopic resection is recommended for gastric neuroendocrine tumors (G-NETs) < 10 mm. However, a larger G-NETs can also be resected endoscopically. Here, we evaluated the feasibility of diagnostic endoscopic resection of G-NETs. We retrospectively analyzed 31 patients, diagnosed with grade 1 or 2 G-NETs at a single tertiary referral center, between January 2009 and December 2023. Outcomes analyzed included histopathology, complete resection, and metastasis rates. The mean follow-up period was 38.9 ± 38.4 months; mean size of G-NETs was 4.9 ± 3.4 mm, and the most size of G-NETs were < 10 mm (87.1%). The maximal NET diameter was 16 mm. Most NETs were grade 1 (type 1: 90.9%; type 3: 85.0%). None of the enrolled patients showed evidence of lymph node metastasis or local recurrence. Even in R1 resection (19.4%) showed no metastasis during follow-up without additional surgery. Recurrent or multiple G-NETs were observed only in patients with type 1 NETs (27.2%, 3/11). Modified endoscopic mucosal resection (EMR) and endoscopic submucosal dissection (ESD) showed a 100% complete resection rate. After resection, grade 1 or 2 G-NETs had no lymph nodes or distant metastases during the follow-up period. This study suggests that G-NETs smaller than 16 mm can be considered for diagnostic endoscopic resection and this resection may be potentially definitive treatment.

Scientific ReportsVol. 15(1)
Pusan National University Yangsan Hospital (KR)
Good health and well-being
Openalex Percentile: Top 20%
Neuroendocrine Tumor Research Advances
1.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.