Journal of gastric cancer · 2026
Endoscopic Features of Background Gastritis Associated With Remnant Gastric Cancer: A Multicenter Retrospective Study.
СтатьяМногоцентровое исследованиеНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
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История · было → стало
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Ohashi Takuma, Kubota Takeshi, Fukui Hayato, Dohi Osamu, Komatsu Shuhei, Shioaki Yasuhiro, Izumiya Yasuhito, Yamashita Tetsuro, Tanaka Sachie, Sai Soujin, Yamajo Junki, Fuji Nobuaki, Ariyoshi Yosuke, Kawakami Sadao, Harada Kyoichi, Ochiai Toshiya, Aratani Kenichi, Nakano Katsunori, Ueda Hidefumi, Daido Takeshi, Inoue Hiroyuki, Takabatake Kazuya, Nishibeppu Keiji, Konishi Hirotaka, Fujiwara Hitoshi, Ito Yoshito, Otsuji Eigo, Shiozaki Atsushi
Аннотация
PURPOSE: We identified the risk factors for remnant gastric cancer (RGC) based on remnant gastric mucosal characteristics and gastritis morphology in patients undergoing distal gastrectomy.
MATERIALS AND METHODS: This multicenter retrospective study included 100 patients with RGC after distal gastrectomy and 550 patients without RGC treated between 2013 and 2020. Endoscopic findings, including anastomotic redness, red streaks, enlarged folds, bile reflux as anastomotic findings, as well as disappearance of the regular arrangement of collecting venules (RAC), atrophic gastritis, and intestinal metaplasia as background gastric mucosal findings, were evaluated. Disease risk score matching (1:1) was adjusted for baseline characteristics. Logistic regression analysis was used to develop a risk score model to stratify RGC risk into low, moderate, and high categories.
RESULTS: After matching, 96 patients with RGC and 96 controls were analyzed. Anastomotic redness and red streaks, as well as the disappearance of RAC and atrophic gastritis, were significantly more frequent in the RGC group than in the control group, whereas enlarged folds and bile reflux showed no significant differences. Risk scores were assigned as follows: anastomotic redness, 2; red streaks, 3; disappearance of RAC, 7; and atrophic gastritis, 3. The total score stratified patients into high (≥15), moderate (7-14), and low risk (≤6). The positive and negative predictive values were 67.7% and 83.3%, respectively.
CONCLUSIONS: The endoscopic findings of anastomotic redness, red streaks, RAC disappearance, and atrophic gastritis were significantly associated with RGC development. The proposed risk-scoring model could serve as a stratification tool for RGC surveillance.
TRIAL REGISTRATION: University Hospital Medical Information Network Identifier: UMIN000055884.
MATERIALS AND METHODS: This multicenter retrospective study included 100 patients with RGC after distal gastrectomy and 550 patients without RGC treated between 2013 and 2020. Endoscopic findings, including anastomotic redness, red streaks, enlarged folds, bile reflux as anastomotic findings, as well as disappearance of the regular arrangement of collecting venules (RAC), atrophic gastritis, and intestinal metaplasia as background gastric mucosal findings, were evaluated. Disease risk score matching (1:1) was adjusted for baseline characteristics. Logistic regression analysis was used to develop a risk score model to stratify RGC risk into low, moderate, and high categories.
RESULTS: After matching, 96 patients with RGC and 96 controls were analyzed. Anastomotic redness and red streaks, as well as the disappearance of RAC and atrophic gastritis, were significantly more frequent in the RGC group than in the control group, whereas enlarged folds and bile reflux showed no significant differences. Risk scores were assigned as follows: anastomotic redness, 2; red streaks, 3; disappearance of RAC, 7; and atrophic gastritis, 3. The total score stratified patients into high (≥15), moderate (7-14), and low risk (≤6). The positive and negative predictive values were 67.7% and 83.3%, respectively.
CONCLUSIONS: The endoscopic findings of anastomotic redness, red streaks, RAC disappearance, and atrophic gastritis were significantly associated with RGC development. The proposed risk-scoring model could serve as a stratification tool for RGC surveillance.
TRIAL REGISTRATION: University Hospital Medical Information Network Identifier: UMIN000055884.