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Robotic-assisted thoracoscopic sleeve lobectomy for locally advanced lung cancer

Authors :
Shuenn-Wen Kuo
Mong-Wei Lin
Jang-Ming Lee
Shun-Mao Yang
Source :
Journal of thoracic disease. 8(7)
Publication Year :
2016

Abstract

Background: The Da Vinci robotic system has been used to enhance the surgeon’s visualization and agility in lung cancer surgery, and thus facilitate refined dissection, knot tying and suturing. However, only a few case reports exist on performing a sleeve lobectomy with a robotic-assisted thoracoscopic surgery (RATS) technique. Here we describe our early experience performing RATS sleeve lobectomies. To our knowledge, this is the first study reporting a series of RATS sleeve lobectomies. Methods: The six consecutive NSCLC patients who underwent a RATS sleeve lobectomy between November 2013 and July 2015 at the National Taiwan University Hospital were enrolled in this study. The lobectomies were all performed by the same surgeon using a three-arm robotic system with an additional utility incision made for assistance and specimen retrieval. Results: Five patients were diagnosed with squamous cell carcinoma, while the sixth was diagnosed with a carcinoid tumor. The mean operation time was 436.7 [255–745] minutes. The mean postoperative intensive care unit (ICU) stay and hospital stay were 3.7 [1–11] and 11.3 [3–26] days, respectively. Two (33.3%; 2/6) morbidities were noted, including one pneumonia and one anastomosis stricture. There were no cases of mortality or of conversion to thoracotomy. Conclusions: Our experience performing a RATS sleeve lobectomy in the six patients demonstrated the feasibility of RATS in complex lung cancer surgeries. The three-dimensional vision and articulated joint instruments made robotic-assisted bronchial anastomosis easier under the endoscopic setting. Our experience suggests that RATS offers specific advantages with regard to accuracy and safety when performing sleeve lobectomies.

Details

ISSN :
20721439
Volume :
8
Issue :
7
Database :
OpenAIRE
Journal :
Journal of thoracic disease
Accession number :
edsair.doi.dedup.....782e1871009b313870caadf85494b21a