Current Thoracic Surgery
2026 , Vol 11 , Issue 2
Dual-axis learning curve of a newly established robotic mediastinal surgery program: an approach-adjusted CUSUM analysis
Current Thoracic Surgery 2026;11(2):131-137.
1Department of Thoracic Surgery, Başakşehir Çam and Sakura City Hospital, İstanbul, Türkiye
DOI : 10.26663/cts.2026.020
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Background: To objectively evaluate the dual-axis learning curve and safety profile of a newly established robotic mediastinal surgery program using an approach-adjusted methodology to account for anatomical and

Material and Methods: A retrospective analysis of 41 consecutive patients who underwent robotic-assisted thoracic surgery (RATS) for mediastinal lesions between December 2023 and December 2025 was conducted. Procedures included lateral decubitus and subxiphoid approaches. To mitigate variations in case complexity, an Observed-Expected (O-E) approach-adjusted Cumulative Sum (CUSUM) model was employed for both access/docking time (operating room team adaptation) and console time (procedural adaptation). Phase 1

Results: The mean age was 44.8 ±13.4 years. The approach-adjusted console time CUSUM demonstrated an inflection point at case 16, whereas the access/docking time CUSUM reached inflection at case 24. Comparing Phase 1 (n = 16) and Phase 2 (n = 25), the median O-E console time deviation showed a trend toward improvement from +10.0 to -13.9 minutes (p = 0.219), despite an increased proportion of technically demanding subxiphoid cases in Phase 2. Estimated blood loss significantly decreased in Phase 2 (0.0 mL vs. 10.0 mL, p = 0.025). The safety profile remained high, with no conversions in the learning phase, low postoperative complications (n = 2 vs. n = 2), and zero mortality.

Conclusions: The implementation of a newly established robotic mediastinal surgery program demonstrates feasibility with acceptable short-term outcomes when preceded by structured training. A dual-axis approachadjusted CUSUM analysis suggests that procedural proficiency and team adaptation occur at different phases,

Keywords : Robotic-assisted thoracic surgery, thymectomy, mediastinal diseases, learning curve