The learning curve of robotic lobectomy

Mark Meyer, Farid - Gharagozloo, Barbara Tempesta, Marc Margolis, Eric Strother, Douglas Christenson

Research output: Contribution to journalArticle

46 Citations (Scopus)

Abstract

Background: Robotic lobectomy has been shown to be feasible, safe and oncologically efficacious. The actual learning curve of robotic lobectomy has yet to be defined. This study was designed to define the learning curve of robotic lobectomy. Methods: We performed a retrospective review of prospectively accrued patients at our institution who underwent robotic lobectomy from January 2004 until December 2011. Six scatter graphs were constructed, comparing operative time, conversion rate, morbidity, mortality, length of stay and surgeon comfort with the number of consecutive cases. In each graph, a regression trendline was drawn and the change in the slope of the curve corresponding to the beginning of the plateau defined the learning curve. The overall learning curve was defined as mean±SD of the sum of the individual learning curves. Results: Based on operative times, mortality and surgeon comfort, the overall learning curve was 18±3 cases. The learning curve based on operative times, mortality and surgeon comfort was 15, 20 and 19 cases, respectively. There was no association between the need for conversion and number of consecutive cases. There was a trend towards lower morbidity and decreased length of stay with greater experience. However, these parameters did not define a specific learning curve. Conclusions: Operative time, mortality and surgeon comfort were found to be key parameters for the learning curve of robotic lobectomy when performed by surgeons who are experienced with video-assisted thoracic surgery (VATS). The learning curve was 18±3 cases.

Original languageEnglish (US)
Pages (from-to)448-452
Number of pages5
JournalInternational Journal of Medical Robotics and Computer Assisted Surgery
Volume8
Issue number4
DOIs
StatePublished - Dec 2012

Fingerprint

Learning Curve
Robotics
Operative Time
Mortality
Surgery
Length of Stay
Morbidity
Video-Assisted Thoracic Surgery
Surgeons

Keywords

  • Learning curve
  • Lung cancer
  • Robotic lobectomy

ASJC Scopus subject areas

  • Computer Science Applications
  • Biophysics
  • Surgery

Cite this

The learning curve of robotic lobectomy. / Meyer, Mark; Gharagozloo, Farid -; Tempesta, Barbara; Margolis, Marc; Strother, Eric; Christenson, Douglas.

In: International Journal of Medical Robotics and Computer Assisted Surgery, Vol. 8, No. 4, 12.2012, p. 448-452.

Research output: Contribution to journalArticle

Meyer, Mark ; Gharagozloo, Farid - ; Tempesta, Barbara ; Margolis, Marc ; Strother, Eric ; Christenson, Douglas. / The learning curve of robotic lobectomy. In: International Journal of Medical Robotics and Computer Assisted Surgery. 2012 ; Vol. 8, No. 4. pp. 448-452.
@article{c6484c48188a417c812fc00c257f4c91,
title = "The learning curve of robotic lobectomy",
abstract = "Background: Robotic lobectomy has been shown to be feasible, safe and oncologically efficacious. The actual learning curve of robotic lobectomy has yet to be defined. This study was designed to define the learning curve of robotic lobectomy. Methods: We performed a retrospective review of prospectively accrued patients at our institution who underwent robotic lobectomy from January 2004 until December 2011. Six scatter graphs were constructed, comparing operative time, conversion rate, morbidity, mortality, length of stay and surgeon comfort with the number of consecutive cases. In each graph, a regression trendline was drawn and the change in the slope of the curve corresponding to the beginning of the plateau defined the learning curve. The overall learning curve was defined as mean±SD of the sum of the individual learning curves. Results: Based on operative times, mortality and surgeon comfort, the overall learning curve was 18±3 cases. The learning curve based on operative times, mortality and surgeon comfort was 15, 20 and 19 cases, respectively. There was no association between the need for conversion and number of consecutive cases. There was a trend towards lower morbidity and decreased length of stay with greater experience. However, these parameters did not define a specific learning curve. Conclusions: Operative time, mortality and surgeon comfort were found to be key parameters for the learning curve of robotic lobectomy when performed by surgeons who are experienced with video-assisted thoracic surgery (VATS). The learning curve was 18±3 cases.",
keywords = "Learning curve, Lung cancer, Robotic lobectomy",
author = "Mark Meyer and Gharagozloo, {Farid -} and Barbara Tempesta and Marc Margolis and Eric Strother and Douglas Christenson",
year = "2012",
month = "12",
doi = "10.1002/rcs.1455",
language = "English (US)",
volume = "8",
pages = "448--452",
journal = "International Journal of Medical Robotics and Computer Assisted Surgery",
issn = "1478-596X",
publisher = "John Wiley and Sons Ltd",
number = "4",

}

TY - JOUR

T1 - The learning curve of robotic lobectomy

AU - Meyer, Mark

AU - Gharagozloo, Farid -

AU - Tempesta, Barbara

AU - Margolis, Marc

AU - Strother, Eric

AU - Christenson, Douglas

PY - 2012/12

Y1 - 2012/12

N2 - Background: Robotic lobectomy has been shown to be feasible, safe and oncologically efficacious. The actual learning curve of robotic lobectomy has yet to be defined. This study was designed to define the learning curve of robotic lobectomy. Methods: We performed a retrospective review of prospectively accrued patients at our institution who underwent robotic lobectomy from January 2004 until December 2011. Six scatter graphs were constructed, comparing operative time, conversion rate, morbidity, mortality, length of stay and surgeon comfort with the number of consecutive cases. In each graph, a regression trendline was drawn and the change in the slope of the curve corresponding to the beginning of the plateau defined the learning curve. The overall learning curve was defined as mean±SD of the sum of the individual learning curves. Results: Based on operative times, mortality and surgeon comfort, the overall learning curve was 18±3 cases. The learning curve based on operative times, mortality and surgeon comfort was 15, 20 and 19 cases, respectively. There was no association between the need for conversion and number of consecutive cases. There was a trend towards lower morbidity and decreased length of stay with greater experience. However, these parameters did not define a specific learning curve. Conclusions: Operative time, mortality and surgeon comfort were found to be key parameters for the learning curve of robotic lobectomy when performed by surgeons who are experienced with video-assisted thoracic surgery (VATS). The learning curve was 18±3 cases.

AB - Background: Robotic lobectomy has been shown to be feasible, safe and oncologically efficacious. The actual learning curve of robotic lobectomy has yet to be defined. This study was designed to define the learning curve of robotic lobectomy. Methods: We performed a retrospective review of prospectively accrued patients at our institution who underwent robotic lobectomy from January 2004 until December 2011. Six scatter graphs were constructed, comparing operative time, conversion rate, morbidity, mortality, length of stay and surgeon comfort with the number of consecutive cases. In each graph, a regression trendline was drawn and the change in the slope of the curve corresponding to the beginning of the plateau defined the learning curve. The overall learning curve was defined as mean±SD of the sum of the individual learning curves. Results: Based on operative times, mortality and surgeon comfort, the overall learning curve was 18±3 cases. The learning curve based on operative times, mortality and surgeon comfort was 15, 20 and 19 cases, respectively. There was no association between the need for conversion and number of consecutive cases. There was a trend towards lower morbidity and decreased length of stay with greater experience. However, these parameters did not define a specific learning curve. Conclusions: Operative time, mortality and surgeon comfort were found to be key parameters for the learning curve of robotic lobectomy when performed by surgeons who are experienced with video-assisted thoracic surgery (VATS). The learning curve was 18±3 cases.

KW - Learning curve

KW - Lung cancer

KW - Robotic lobectomy

UR - http://www.scopus.com/inward/record.url?scp=84870432998&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84870432998&partnerID=8YFLogxK

U2 - 10.1002/rcs.1455

DO - 10.1002/rcs.1455

M3 - Article

C2 - 22991294

AN - SCOPUS:84870432998

VL - 8

SP - 448

EP - 452

JO - International Journal of Medical Robotics and Computer Assisted Surgery

JF - International Journal of Medical Robotics and Computer Assisted Surgery

SN - 1478-596X

IS - 4

ER -