Cargando…

Simultaneous Robot Assisted Colon and Liver Resection for Metastatic Colon Cancer

INTRODUCTION: Simultaneous robot assisted colon and liver resections are being performed more frequently at present due to the expanded adoption of the robotic platform for surgical management of metastatic colon cancer. However, this approach has not been studied in detail with only case series ava...

Descripción completa

Detalles Bibliográficos
Autores principales: McGuirk, Matthew, Gachabayov, Mahir, Rojas, Aram, Kajmolli, Agon, Gogna, Shekhar, Gu, Katie W, Qiuye, Qian, Dong, Xiang Da
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Laparoendoscopic Surgeons 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8249220/
https://www.ncbi.nlm.nih.gov/pubmed/34248343
http://dx.doi.org/10.4293/JSLS.2020.00108
Descripción
Sumario:INTRODUCTION: Simultaneous robot assisted colon and liver resections are being performed more frequently at present due to the expanded adoption of the robotic platform for surgical management of metastatic colon cancer. However, this approach has not been studied in detail with only case series available in the literature. The aim of this systematic review was to evaluate the current body of evidence on the feasibility of performing simultaneous robotic colon and liver resections. METHODS: A systematic review was performed through PubMed to identify relevant articles describing simultaneous colon and liver resections for metastatic colon cancer. RESULTS: A total of 28 patients underwent simultaneous resections robotically with an average operative time of 420.3 minutes and average blood loss of 275.6 ml. Postoperative stay was 8.6 days on average with all cases achieving negative surgical margins. CONCLUSIONS: Robotic simultaneous resection of colorectal cancer with liver metastases is technically feasible and seems oncologically equivalent to open or laparoscopic surgery. Further studies are urgently needed to assess benefits of robotic surgery in the patient population.