Robotic pancreatic tumor enucleation by the double bipolar technique using the da Vinci SP system: An initial case report with a technical detail.

da Vinci SP pancreatic neuroendocrine tumor pancreatic tumor enucleation single-port robotic surgery

Journal

Asian journal of endoscopic surgery
ISSN: 1758-5910
Titre abrégé: Asian J Endosc Surg
Pays: Japan
ID NLM: 101506753

Informations de publication

Date de publication:
11 Dec 2023
Historique:
revised: 21 11 2023
received: 15 10 2023
accepted: 26 11 2023
medline: 12 12 2023
pubmed: 12 12 2023
entrez: 11 12 2023
Statut: aheadofprint

Résumé

Pancreatic tumor enucleation is a procedure that can preserve pancreatic function and is sometimes performed using a minimally invasive approach. Recently, a single-port robotic platform called da Vinci SP has been developed. However, the technical details of pancreatic tumor enucleation using da Vinci SP have not been reported to date. We report a male patient in his 70s who underwent robotic SP pancreatic tumor enucleation for a pancreatic neuroendocrine tumor. The dissection between the tumor and pancreatic parenchyma was performed using the double bipolar technique. The operative time was 139 min, and the estimated blood loss was 4 mL. The patient had an uneventful recovery and was discharged on the sixth day after the surgery. Robotic SP pancreatic tumor enucleation appears to be a feasible procedure with lower invasiveness and better cosmesis.

Identifiants

pubmed: 38081193
doi: 10.1111/ases.13271
doi:

Types de publication

Case Reports

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2023 The Authors. Asian Journal of Endoscopic Surgery published by Asia Endosurgery Task Force and Japan Society of Endoscopic Surgery and John Wiley & Sons Australia, Ltd.

Références

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Auteurs

Yuichiro Uchida (Y)

Department of Surgery, Fujita Health University, Toyoake, Aichi, Japan.

Takeshi Takahara (T)

Department of Surgery, Fujita Health University, Toyoake, Aichi, Japan.

Akihiro Nishimura (A)

Department of Surgery, Fujita Health University, Toyoake, Aichi, Japan.

Satoshi Mii (S)

Department of Surgery, Fujita Health University, Toyoake, Aichi, Japan.

Takuya Mizumoto (T)

Department of Surgery, Fujita Health University, Toyoake, Aichi, Japan.

Hideaki Iwama (H)

Department of Surgery, Fujita Health University, Toyoake, Aichi, Japan.

Masayuki Kojima (M)

Department of Surgery, Fujita Health University, Toyoake, Aichi, Japan.

Ichiro Uyama (I)

Department of Advanced Robotics and Laparoscopic Surgery, Fujita Health University, Toyoake, Aichi, Japan.

Koichi Suda (K)

Department of Surgery, Fujita Health University, Toyoake, Aichi, Japan.

Classifications MeSH