Robotic single port anti-reflux surgery: Initial worldwide experience of two cases with a novel surgical approach to treat gastroesophageal reflux disease.

da Vinci single port (SP) gastro-oesophageal reflux disease (GERD) minimally invasive surgery (MIS) single port robotic surgery

Journal

The international journal of medical robotics + computer assisted surgery : MRCAS
ISSN: 1478-596X
Titre abrégé: Int J Med Robot
Pays: England
ID NLM: 101250764

Informations de publication

Date de publication:
Dec 2022
Historique:
revised: 09 06 2022
received: 22 04 2022
accepted: 24 06 2022
pubmed: 28 6 2022
medline: 4 11 2022
entrez: 27 6 2022
Statut: ppublish

Résumé

To date, no anti-reflux operations have been reported with the new da Vinci Single-Port (single port (SP)) robotic platform. We aimed to describe this novel surgical approach and evaluate its safety and feasibility. All robotic SP operations were performed under an Institutional Review Board approved protocol. Two patients underwent robotic SP anti-reflux surgery through a single incision of 2.7 cm (one Nissen-fundoplication and one re-Redo Nissen-fundoplication). The mean docking-time was 2.5 (2-3) minutes and mean console-time was 147 (119-155) minutes. No additional ports were needed, and no intraoperative complications occurred. Patients tolerated a soft diet on postoperative day 1 and were discharged on POD-2 and 3. Robotic SP anti-reflux surgery appears to be safe and feasible. This platform offers similar advantages to the multiport robotic surgery, while adding lower invasiveness and an improved cosmesis. Further studies are needed to confirm our results and evaluate long-term outcomes of this surgical approach.

Identifiants

pubmed: 35754403
doi: 10.1002/rcs.2437
pmc: PMC9786780
doi:

Types de publication

Case Reports Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2437

Informations de copyright

© 2022 The Authors. The International Journal of Medical Robotics and Computer Assisted Surgery published by John Wiley & Sons Ltd.

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Auteurs

Antonio Cubisino (A)

Department of Surgery, Division of General, Minimally Invasive and Robotic Surgery, University of Illinois at Chicago, Chicago, Illinois, USA.

Nicolas H Dreifuss (NH)

Department of Surgery, Division of General, Minimally Invasive and Robotic Surgery, University of Illinois at Chicago, Chicago, Illinois, USA.

Francisco Schlottmann (F)

Department of Surgery, Division of General, Minimally Invasive and Robotic Surgery, University of Illinois at Chicago, Chicago, Illinois, USA.

Carolina Baz (C)

Department of Surgery, Division of General, Minimally Invasive and Robotic Surgery, University of Illinois at Chicago, Chicago, Illinois, USA.

Alberto Mangano (A)

Department of Surgery, Division of General, Minimally Invasive and Robotic Surgery, University of Illinois at Chicago, Chicago, Illinois, USA.

Mario A Masrur (MA)

Department of Surgery, Division of General, Minimally Invasive and Robotic Surgery, University of Illinois at Chicago, Chicago, Illinois, USA.

Francesco M Bianco (FM)

Department of Surgery, Division of General, Minimally Invasive and Robotic Surgery, University of Illinois at Chicago, Chicago, Illinois, USA.

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Classifications MeSH