About

Paolo Corsi is a leading urologic surgeon whose research focuses on optimizing surgical outcomes in robot-assisted radical prostatectomy (RARP) and radical cystectomy for prostate and bladder cancers. His work has fundamentally advanced the understanding of perioperative risk stratification, with his 2018 study identifying body mass index as an independent predictor of high-grade complications after RARP with extended pelvic lymph node dissection (39 citations). Corsi has pioneered techniques to minimize postoperative morbidity, demonstrating through a double-blind randomized trial that combining local anesthetic wound infiltration with ultrasound-guided transversus abdominal plane block significantly improves pain control and recovery (36 citations). His investigations into pelvic lymph node anatomy have been particularly impactful, including landmark studies on Cloquet’s nodes and Marcille’s fossa metastases that have refined surgical approaches to extended lymphadenectomy (30 citations each). Corsi also contributed to the Italian Radical Cystectomy Registry, analyzing outcomes across 1,400 patients to compare robotic, laparoscopic, and open approaches. His cumulative work, encompassing over 250 citations, has established evidence-based protocols that reduce complications, accelerate recovery, and improve oncologic precision in minimally invasive urologic surgery.

Research Focus

Key Achievements

11
H-Index
20
Papers
335
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Body mass index is an independent predictor of Clavien–Dindo grade 3 complications in patients undergoing robot assisted radical prostatectomy with extensive pelvic lymph node dissection
39 citations · 2018
📈 Most Prolific Year: 2019 (11 Papers)
🤝 Key Collaborators: 79
🏛 Institutions: Azienda Ospedaliera Universitaria Integrata Verona, Policlinico Abano Terme, University of Verona, Istituto Oncologico Veneto

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago