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Updated: Feb 7, 2026
04:38
Subcostal Specimen Removal in Completely Portal Robotic Lobectomy
Published on: April 19, 2024
708
Defining the learning curve in robot-assisted thoracoscopic lobectomy
Brian N Arnold1, Daniel C Thomas1, Vikrant Bhatnagar1
1Section of Thoracic Surgery, Yale School of Medicine, New Haven, Connecticut.
Surgery
|August 1, 2018
Summary
The learning curve for robot-assisted thoracoscopic lobectomy (RATS lobectomy) requires 22 cases to define and 63 cases to achieve mastery. Operating time and blood loss improved significantly during the learning process.
Area of Science:
- Thoracic Surgery
- Surgical Robotics
- Medical Education
Background:
- Robot-assisted thoracoscopic lobectomy (RATS lobectomy) is a recognized safe method for pulmonary lobectomy.
- Defining the learning curve is crucial for optimizing surgical training and patient outcomes.
Purpose of the Study:
- To mathematically define the learning curve for robot-assisted thoracoscopic lobectomy.
- To identify specific milestones in surgical proficiency.
Main Methods:
- A cumulative sum analysis of operating time was used to assess the learning curve.
- 101 patients undergoing RATS lobectomy between 2010 and 2016 were analyzed.
- Covariates included patient demographics, comorbidities, and surgical outcomes.
Main Results:
- Three phases of the learning curve were identified: cases 1-22, 23-63, and 64-101.
- Significant reductions in operating time and estimated blood loss were observed between phase 1 and phases 2/3.
- No significant differences were found in comorbidities, chest tube duration, length of stay, complications, or conversion rates across the curve.
Conclusions:
- The learning curve for RATS lobectomy is established at 22 cases, with surgical mastery achieved by case 63.
- Key performance metrics like operating time and blood loss improve with experience.
- Patient outcomes such as length of stay and complication rates are not significantly affected by the learning curve.
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