About

Riccardo Leni is a surgeon-scientist at the forefront of precision oncology in urology, specializing in prostate and bladder cancer surgery. His major contributions center on refining **prostate-specific membrane antigen (PSMA) radioguided surgery (RGS)** —a cutting-edge technique that uses radioactive tracers to help surgeons identify and remove hidden lymph node metastases in real time during robot-assisted procedures. In a pivotal Phase 2 study (94 citations), Leni demonstrated that PSMA-RGS can detect nodal invasion missed by conventional imaging, potentially improving staging accuracy for prostate cancer patients. He has also defined the optimal target-to-background ratio for identifying positive nodes, a critical step toward standardizing this technology. Beyond prostate cancer, Leni has investigated perioperative outcomes and long-term functional recovery after robot-assisted radical cystectomy with intracorporeal neobladder reconstruction, reporting durable continence and voiding results. His work, published in high-impact urology journals, bridges surgical innovation and evidence-based practice, helping to shape guidelines for multimodal treatment in oligometastatic disease. With a growing citation record and leadership at a high-volume referral center, Leni is advancing the goal of more precise, less morbid cancer surgery.

Research Focus

Key Achievements

4
H-Index
5
Papers
135
Total Citations
27
Avg Citations/Paper
🏆 Most Cited Paper
Prostate-specific membrane antigen Radioguided Surgery to Detect Nodal Metastases in Primary Prostate Cancer Patients Undergoing Robot-assisted Radical Prostatectomy and Extended Pelvic Lymph Node Dissection: Results of a Planned Interim Analysis of a Prospective Phase 2 Study
94 citations · 2022
📈 Most Prolific Year: 2024 (3 Papers)
🤝 Key Collaborators: 38
🏛 Institutions: Vita-Salute San Raffaele University, Istituti di Ricovero e Cura a Carattere Scientifico, IRCCS Ospedale San Raffaele

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago