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Implementing robot-assisted minimally invasive gastrectomy (RAMIG) for gastric cancer in a European tertiary referral center.

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European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology 📖 저널 OA 10.7% 2021: 0/5 OA 2022: 0/4 OA 2023: 0/7 OA 2024: 0/20 OA 2025: 7/146 OA 2026: 31/140 OA 2021~2026 2025 Vol.51(10) p. 110342
Retraction 확인
출처

PICO 자동 추출 (휴리스틱, conf 3/4)

유사 논문
P · Population 대상 환자/모집단
24 cases) for experienced robotic surgeons support adaption towards RAMIG.
I · Intervention 중재 / 시술
total gastrectomy, and 78% neoadjuvant therapy
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
The robotic technique facilitated modification to handsewn esophagojejunostomy. Short learning curves (8-24 cases) for experienced robotic surgeons support adaption towards RAMIG.

Triemstra L, de Jongh C, Brenkman HJF, Weusten BLAM, Freund JE, Hillegersberg RV

📝 환자 설명용 한 줄

[BACKGROUND] Our European tertiary referral center implemented robot-assisted minimally invasive gastrectomy (RAMIG) in September 2020, following experience with robot-assisted esophagectomy and multi

🔬 핵심 임상 통계 (초록에서 자동 추출 — 원문 검증 권장)
  • p-value p=0.032
  • p-value p = 0.041
  • 연구 설계 cohort study

이 논문을 인용하기

↓ .bib ↓ .ris
APA Triemstra L, de Jongh C, et al. (2025). Implementing robot-assisted minimally invasive gastrectomy (RAMIG) for gastric cancer in a European tertiary referral center.. European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology, 51(10), 110342. https://doi.org/10.1016/j.ejso.2025.110342
MLA Triemstra L, et al.. "Implementing robot-assisted minimally invasive gastrectomy (RAMIG) for gastric cancer in a European tertiary referral center.." European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology, vol. 51, no. 10, 2025, pp. 110342.
PMID 40780020 ↗

Abstract

[BACKGROUND] Our European tertiary referral center implemented robot-assisted minimally invasive gastrectomy (RAMIG) in September 2020, following experience with robot-assisted esophagectomy and multiquadrant surgery using the DaVinci Xi robot. RAMIG implementation was evaluated.

[METHODS] This single-center prospective cohort study compared 111 MIG patients (2014-2023) with the initial 75 RAMIG patients (2020-2023), operated by two experienced robotic upper-GI surgeons. After propensity-score-matching, surgical, oncological, and textbook outcomes for overall/distal/total RAMIG and MIG were compared. Cumulative sum (CUSUM) analysis assessed learning curves for operating time and nodal yield. Additionally, the transition from laparoscopic-circular stapled (MIG/RAMIG) to robot-assisted handsewn anastomosis (RAMIG-only) was evaluated.

[RESULTS] After propensity-score-matching, 75 RAMIG and 75 MIG patients were analyzed; 68% underwent total gastrectomy, and 78% neoadjuvant therapy. Postoperative complications, blood loss, hospitalization, R0-resections, and textbook outcomes were similar between groups (p>0.05). Distal RAMIG showed longer median operating time (214 versus 191 min; p=0.032), but less severe complications (13 % versus 38 % grade≥3A; p = 0.041). Total RAMIG showed higher median nodal yield (35 versus 22 nodes; p < 0.001). CUSUM-analysis showed plateaus for distal/total RAMIG at cases 10 and 24 for operating time, and 8 and 17 for nodal yield. Robot-assisted handsewn esophagojejunostomy seemed to show reduced anastomotic leakage (9% versus 28%), postoperative complications (45% versus 59%), and 30-day mortality (0% versus 5%).

[CONCLUSIONS] Implementing RAMIG in our tertiary referral center resulted in similar perioperative outcomes with improved nodal yield, despite longer operating times. The robotic technique facilitated modification to handsewn esophagojejunostomy. Short learning curves (8-24 cases) for experienced robotic surgeons support adaption towards RAMIG.

🏷️ 키워드 / MeSH 📖 같은 키워드 OA만

같은 제1저자의 인용 많은 논문 (1)

🏷️ 같은 키워드 · 무료전문 — 이 논문 MeSH/keyword 기반