Erico Lustosa
Papers
1
Total Citations
2
H-Index
1
About
Erico Lustosa is a surgical researcher whose work centers on the application and mastery of robotic-assisted surgery (RAS) for complex pelvic malignancies. His most-cited study, a cumulative sum analysis of the robotic learning curve in managing malignant pelvic neoplasms, directly addresses a critical barrier to the widespread adoption of minimally invasive techniques: the steep technical demands of pelvic surgery. By quantifying the number of cases required for surgeons to achieve proficiency, Lustosa provides an evidence-based framework for training and credentialing, helping to safely expand access to RAS. This foundational work has garnered attention for its practical implications in surgical oncology, demonstrating how data-driven analysis can optimize the transition from open to robotic approaches. Lustosa’s contributions are particularly valuable for surgeons and trainees navigating the adoption of new technologies, offering a clear roadmap for skill acquisition in a high-stakes field. His research underscores a commitment to improving surgical outcomes through rigorous, outcomes-focused analysis of procedural learning.
Research Focus
Key Achievements
Top Papers
- 1