Related Experiment Video
Updated: Aug 6, 2026

07:17
Single Port Donor Nephrectomy
Published on: March 12, 2011
Anatomical tour: Single-port retroperitoneal partial nephrectomy
Laura Zuluaga1, Jewel Bamby1, Kennedy Okhawere1
1Department of Urology, Icahn School of Medicine at Mount Sinai, New York City, USA.
Current Opinion in Urology
|July 17, 2026
Summary
The single-port (SP) robotic platform and retroperitoneal low anterior access (LAA) approach simplify renal surgery. This technique broadens applicability across tumor locations, supporting its role in nephron-sparing surgery.
Area of Science:
- Urology
- Minimally Invasive Surgery
- Robotic Surgery
Background:
- The single-port (SP) robotic platform is transforming minimally invasive renal surgery.
- The retroperitoneal low anterior access (LAA) approach is a versatile technique gaining favor.
- Current literature lacks detailed guidance on SP retroperitoneal partial nephrectomy.
Purpose of the Study:
- To provide an anatomically grounded account of operative steps for SP retroperitoneal partial nephrectomy.
- To detail decision points unique to this surgical approach.
- To address the growing need for information as SP adoption increases.
Main Methods:
- Review of current literature and surgical techniques.
- Analysis of operative steps and decision-making in SP retroperitoneal partial nephrectomy.
- Examination of the impact of tumor location on surgical approach selection.
Main Results:
- The da Vinci SP platform enables treatment of diverse renal tumor locations via a retroperitoneal approach.
- The SP platform allows access to anterior, posterior, hilar, and polar tumors from a single site.
- This approach simplifies access and broadens applicability compared to traditional multiport surgery.
Conclusions:
- A retroperitoneal-first strategy with the SP platform streamlines surgery and expands its use in nephron-sparing procedures.
- This approach facilitates adoption by trainees and surgeons experienced in transperitoneal techniques.
- Further comparative and long-term outcome data are necessary for optimal patient selection.

