Gastrointestinal stromal tumours of stomach: Robot-assisted excision with the da Vinci Surgical System regardless of size and location site.

Da Vinci Xi gastrointestinal stromal tumour posterior gastric wall robot assisted robotic surgery

Journal

Journal of minimal access surgery
ISSN: 0972-9941
Titre abrégé: J Minim Access Surg
Pays: India
ID NLM: 101228183

Informations de publication

Date de publication:
Historique:
medline: 30 3 2018
pubmed: 30 3 2018
entrez: 30 3 2018
Statut: ppublish

Résumé

The role of minimally invasive surgery of gastrointestinal stromal tumours (GISTs) of the stomach remains uncertain especially for large and/or difficult located tumours. We are hereby presenting a single-centre series of robot-assisted resections using the da Vinci Surgical System (Si or Xi). Data of patients undergoing robot-assisted treatment of gastric GIST were retrieved from the prospectively collected institutional database and a retrospective analysis was performed. Patients were stratified according to size and location of the tumour. Difficult cases (DCs) were considered for size if tumour was >50 mm and/or for location if the tumour was Type II, III or IV sec. Privette/Al-Thani classification. Between May 2010 and February 2017, 12 consecutive patients underwent robot-assisted treatment of GIST at our institution. DCs were 10/12 cases (83.3%), of which 6/10 (50%) for location, 2/10 (25%) for size and 2/10 (25%) for both. The da Vinci Si was used in 8 patients, of which 6 (75%) were DC, and the da Vinci Xi in 4, all of which (100%) were DC. In all patients, excision was by wedge resection. All lesions had microscopically negative resection margins. There was no conversion to open surgery, no tumour ruptures or spillage and no intraoperative complications. Our experience suggests a positive role of the robot da Vinci in getting gastric GIST removal with a conservative approach, regardless of size and location site. Comparative studies with a greater number of patients are necessary for a more robust assessment.

Identifiants

pubmed: 29595183
pii: 228415
doi: 10.4103/jmas.JMAS_260_17
pmc: PMC6438064
doi:

Types de publication

Journal Article

Langues

eng

Pagination

142-147

Déclaration de conflit d'intérêts

None

Auteurs

Niccolò Furbetta (N)

General Surgery Unit, Department of Surgery, Translational and New Technologies in Medicine, University of Pisa, Pisa, Italy.

Matteo Palmeri (M)

General Surgery Unit, Department of Surgery, Translational and New Technologies in Medicine, University of Pisa, Pisa, Italy.

Simone Guadagni (S)

General Surgery Unit, Department of Surgery, Translational and New Technologies in Medicine, University of Pisa, Pisa, Italy.

Gregorio Di Franco (G)

General Surgery Unit, Department of Surgery, Translational and New Technologies in Medicine, University of Pisa, Pisa, Italy.

Desirée Gianardi (D)

General Surgery Unit, Department of Surgery, Translational and New Technologies in Medicine, University of Pisa, Pisa, Italy.

Saverio Latteri (S)

General Surgery Unit, Cannizzaro Hospital, Catania, Italy.

Emanuele Marciano (E)

General Surgery Unit, Department of Surgery, Translational and New Technologies in Medicine, University of Pisa, Pisa, Italy.

Andrea Moglia (A)

EndoCAS (Center for Computer Assisted Surgery), University of Pisa, Pisa, Italy.

Alfred Cuschieri (A)

Sant'Anna School of Advanced Study, Pisa, Italy.

Giulio Di Candio (G)

General Surgery Unit, Department of Surgery, Translational and New Technologies in Medicine, University of Pisa, Pisa, Italy.

Franco Mosca (F)

EndoCAS (Center for Computer Assisted Surgery), University of Pisa, Pisa, Italy.

Luca Morelli (L)

General Surgery Unit, Department of Surgery, Translational and New Technologies in Medicine; EndoCAS (Center for Computer Assisted Surgery), University of Pisa, Pisa, Italy.

Classifications MeSH