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Obesity surgery · 2025

Robotic Hand-Sewn Versus Linear-Stapled Gastrojejunostomy in Robotic Roux-en-Y Gastric Bypass for Primary and Revisional Metabolic and Bariatric Surgery: German Experience from a Single Center Study.

СтатьяСравнительное исследованиеНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
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Vladimirov Miljana, Pouwels Sjaak, Kemeter Melissa, Goyal Aman, Höppner Jens, Stein Hubert, Oviedo Rodolfo J

Аннотация

BACKGROUND: Gastrojejunostomy (GJ) anastomosis in Roux-en-Y gastric bypass (RYGB) can be performed using various techniques via minimally invasive surgery (MIS). This study evaluates clinical outcomes of robotic hand-sewn versus linear-stapled GJ anastomosis in primary and revisional metabolic and bariatric surgery (MBS).

METHODS: This retrospective study evaluated 64 consecutive patients with severe obesity who underwent robotic Roux-en-Y gastric bypass (RYGB) using the da Vinci Xi system (Intuitive Surgical, Inc., Sunnyvale, CA, USA) at a single center by one surgeon between January 1, 2021, and December 31, 2023. Both primary and revisional procedures were included. Clinical outcomes assessed included 30-day morbidity and mortality, surgical technique (robotic hand-sewn vs. linear-stapled gastrojejunostomy), and the need for re-intervention.

RESULTS: A total of 64 patients underwent robotic RYGB, with the hand-sewn gastrojejunostomy (GJ) technique performed in 24 cases (38%) and the linear-stapled approach in 40 cases (62%). No anastomotic leaks or intraluminal bleeding were reported in either group. However, three patients in the hand-sewn group developed anastomotic stenosis that required endoscopic balloon dilation.

CONCLUSION: Robotic RYGB using either hand-sewn or stapled gastrojejunostomy techniques can be safely executed in an accredited MBS referral center. The fully robotic approach facilitates the use of hand-sewn anastomoses in both primary and revisional settings. The occurrence of anastomotic stenoses in the hand-sewn group is likely attributable to the initial learning curve.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты