What question did this study set out to answer?

To assess the outcomes and learning curve of robotic-assisted surgery for endometriosis in an Indian tertiary care setting.

February 28, 2026Cureus0 citationsOpen Access

Preliminary Experience of Robotic Endometriosis From a Tertiary Care Center in India: The Learning Curve

AKAnitha KunnaiahYashoda Hospital KMKeerthana MYashoda Hospital

Key Points

To assess the outcomes and learning curve of robotic-assisted surgery for endometriosis in an Indian tertiary care setting.
Retrospective analysis of patients undergoing robotic-assisted endometriosis surgeries
Inclusion of cases diagnosed with deep infiltrating endometriosis (DIE)
Utilization of the da Vinci Xi system from October 2023 to April 2025
Assessment of operative time, complications, and postoperative outcomes
Analyzed 108 patients, with 39.8% diagnosed with DIE
Mean operative time was 129.8 minutes with minimal complications
Significant improvements in postoperative pain and quality of life scores (p < 0.001)
Distinct learning phases identified in surgical efficiency over time
No conversions to open surgery or wound infections reported

Abstract

Background Endometriosis often requires surgery, especially in deep-infiltrating cases unresponsive to medical therapy. This study presents our institutional experience with robotic-assisted surgery (RAS) for endometriosis in Indian patients. Methodology This retrospective study was conducted at a high-volume tertiary care center in India and included patients who underwent robotic-assisted endometriosis surgeries using the da Vinci Xi system between October 2023 and April 2025. Results This study analyzed 108 patients, with 39.8% diagnosed with deep infiltrating endometriosis (DIE). The mean age and body mass index of the study groups were 40.9 ± 6.6 years and 26.3 ± 3.3 kg/m², respectively. The average operative time was 129.8 ± 56.0 minutes, with minimal intraoperative and postoperative complications (0.9% each), no conversions to open surgery, no wound infections, and no re-operations. Subgroup analysis revealed that DIE cases had longer operative times. Though complication rates and post-anesthesia care unit stay remained comparable to the non-DIE subgroup. Both subgroups demonstrated significant improvements in postoperative pain and quality of life scores (p < 0.001) compared to their preoperative values. The risk-adjusted cumulative sum analysis of operative and docking times demonstrated distinct learning phases, with marked improvements in surgical efficiency and operating room workflow over time. Notably, a marked inflection point was observed around case 28 in the DIE subgroup. While this subgroup may represent a particularly suitable cohort for the application of robotic techniques, these findings should be interpreted as reflective of procedural optimization within a carefully selected patient population rather than as a definitive statement of superiority. Conclusions This study confirms the feasibility, safety, and effectiveness of RAS for endometriosis in India, with significant postoperative improvements and low complication rates across all stages, including complex DIE cases.

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