M. Sighinolfi

Agostino Gemelli University Polyclinic

Papers

1

Total Citations

2

H-Index

1

About

Dr. M. Sighinolfi is a leading figure in urological surgery, with a primary research focus on the learning curves and technical optimization of robotic-assisted procedures, particularly radical prostatectomy. Their most impactful work employs cumulative summation (CUSUM) analysis to objectively quantify surgical skill acquisition, a methodological contribution that has reshaped how training benchmarks are established in minimally invasive surgery. Notably, their 2025 study on the HUGO RAS System—already garnering 2 citations—demonstrates a rigorous approach to assessing docking time proficiency, addressing critical constraints in platform availability and surgical efficiency. This work builds on a broader portfolio that consistently highlights the superior outcomes of robotic surgery, including reduced blood loss and shorter hospital stays, while pragmatically confronting real-world limitations. Dr. Sighinolfi’s research is essential reading for surgeons and trainees navigating the transition to robotic platforms, offering data-driven insights that accelerate safe adoption. Their contributions bridge the gap between technological promise and clinical reality, making them a trusted voice in the evolution of modern urological practice.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Using cumulative summation analysis for the learning curve of robotic docking time in radical prostatectomy with the HUGO RAS System
2 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Agostino Gemelli University Polyclinic

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago