Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

[Robot-assisted Segmentectomy for Lung Cancer].

Authors: Masanori, Shimomura; Shunta, Ishihara; Masayoshi, Inoue;

[Robot-assisted Segmentectomy for Lung Cancer].

Abstract

The role of segmentectomy for lung cancer is expected to increase owing to the results of Japan Clinical Oncology Group (JCOG) 0802. Moreover, the major advantage of robot-assisted thoracic surgery (RATS) is that it allows high precision of dissection. The surgical approach comprised the placement of four robotic ports on the lower intercostal space with an assistant hole. While performing robotic surgery without haptic sensation, it is considered safe to dissect the bronchus first followed by the interlobar and intersegmental plane dissection at the end. In our institution, 52 lung cancer segmentectomies were performed between April 2020 and April 2022, out of which 8 (15.4%)were robot-assisted. The median operating time and console time for RATS were 233 and 182 minutes, respectively, showing a trend towards significantly longer operating time as compared to thoracoscopic segmentectomy( 184 vs. 233 minutes, p=0.007). There were no significant differences in the time to drain removal, the incidence of complications, or pain scores at discharge. Although robotic surgery provides the surgeon with better view and greater precision, it does not decrease the operation time and pain. However, robot-assisted surgery is expected to deliver greater benefits to the patient with technological advances in devices and surgical techniques.

Keywords

Lung Neoplasms, Thoracic Surgery, Video-Assisted, Humans, Pain, Robotics, Pneumonectomy, Mastectomy, Segmental, Retrospective Studies

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities
Cancer Research
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!