About

Dr. Enrico Vecchio is a pioneering urologic surgeon whose research focuses on refining robotic-assisted radical prostatectomy (RARP) techniques, particularly Retzius-sparing approaches, and improving surgical training. His major contributions center on understanding the learning curves and predictors of proficiency for trainee surgeons performing high-volume RARP, as demonstrated in his most-cited work (21 citations) analyzing multicentric predictors of proficiency scores. Vecchio has systematically assessed functional and oncological outcomes in challenging cases, including patients with prior trans-urethral resection of the prostate and high-risk prostate cancer, while also identifying predictors of positive surgical margins. Notably, he performed the first robot-assisted radical prostatectomy using the Toumai® system in a pioneering European telesurgery procedure (2025, 5 citations), showcasing his role in advancing surgical technology. His work on urinary continence recovery after Retzius-sparing RARP combined with adjuvant radiation therapy (3 citations) and contemporary outcomes of robot-assisted partial nephrectomy (1 citation) further demonstrates his breadth. With over 60 cumulative citations across his key publications, Vecchio’s research provides essential guidance for surgical training programs and the adoption of novel robotic platforms, making him a leading voice in the evolution of minimally invasive urologic oncology.

Research Focus

Key Achievements

4
H-Index
8
Papers
63
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Predictors of trainees’ proficiency during the learning curve of robot-assisted radical prostatectomy at high-volume institutions: results from a multicentric series
21 citations · 2023
📈 Most Prolific Year: 2025 (4 Papers)
🤝 Key Collaborators: 90
🏛 Institutions: Azienda Socio Sanitaria Territoriale Grande Ospedale Metropolitano Niguarda, Ospedale Policlinico San Martino, Onze Lieve Vrouwziekenhuis Hospital, University of Genoa

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago