Initial Experience With Single‐Port Robotic Donor Nephrectomy Using the da Vinci SP System: A Case Series Evaluating Safety, Feasibility, and Early Outcomes

INTRODUCTION: Minimally invasive techniques for living donor nephrectomy have advanced considerably, with robotic-assisted approaches offering improved visualization, reduced morbidity, and enhanced cosmesis. Single-port robotic donor nephrectomy (SP-RDN), utilizing the da Vinci SP platform, further minimizes the surgical footprint while aiming to maintain safety and efficacy. This case series presents our initial experience with SP-RDN, focusing on perioperative outcomes and early postoperative renal function. METHODS: We retrospectively reviewed six consecutive SP-RDNs performed between December 2023 and April 2025. Demographic data, operative parameters, and renal function markers were analyzed. All procedures were performed via a periumbilical incision using the da Vinci SP system by two surgeons at our institution. Perioperative outcomes, including operative time, estimated blood loss (EBL), warm ischemia time (WIT), and hospital stay, were assessed. Renal function was monitored using serum creatinine and estimated glomerular filtration rate (eGFR) preoperatively, on postoperative day (POD) 0 and POD1, and at first follow-up. RESULTS: on POD1, partially recovering by the first postoperative visit. CONCLUSION: SP-RDN is a feasible and safe approach for living donor nephrectomy, with favorable early outcomes. Larger studies are needed to confirm its advantages over traditional techniques.

Authors

Institutions

Publication Details

Journal
Clinical Transplantation
Published
2026-04-01
DOI
https://doi.org/10.1111/ctr.70537
Primary Topic
Organ Donation and Transplantation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Initial Experience With Single‐Port Robotic Donor Nephrectomy Using the da Vinci SP System: A Case Series Evaluating Safety, Feasibility, and Early Outcomes

Srinivasan Muthukrishnan, Ruchin Patel, Chandra Bhati, Roberto S. Kalil et al.
Clinical Transplantation
Organ Donation and Transplantation
article

Initial Experience With Single‐Port Robotic Donor Nephrectomy Using the da Vinci SP System: A Case Series Evaluating Safety, Feasibility, and Early Outcomes

Srinivasan Muthukrishnan, Ruchin Patel, Chandra Bhati, Roberto S. Kalil, Lane T. Cavey, Raphael P. H. Meier, Francheska Nieves‐Rivera
article en

Abstract

INTRODUCTION: Minimally invasive techniques for living donor nephrectomy have advanced considerably, with robotic-assisted approaches offering improved visualization, reduced morbidity, and enhanced cosmesis. Single-port robotic donor nephrectomy (SP-RDN), utilizing the da Vinci SP platform, further minimizes the surgical footprint while aiming to maintain safety and efficacy. This case series presents our initial experience with SP-RDN, focusing on perioperative outcomes and early postoperative renal function. METHODS: We retrospectively reviewed six consecutive SP-RDNs performed between December 2023 and April 2025. Demographic data, operative parameters, and renal function markers were analyzed. All procedures were performed via a periumbilical incision using the da Vinci SP system by two surgeons at our institution. Perioperative outcomes, including operative time, estimated blood loss (EBL), warm ischemia time (WIT), and hospital stay, were assessed. Renal function was monitored using serum creatinine and estimated glomerular filtration rate (eGFR) preoperatively, on postoperative day (POD) 0 and POD1, and at first follow-up. RESULTS: on POD1, partially recovering by the first postoperative visit. CONCLUSION: SP-RDN is a feasible and safe approach for living donor nephrectomy, with favorable early outcomes. Larger studies are needed to confirm its advantages over traditional techniques.

Clinical TransplantationVol. 40(4)
University of Maryland, Baltimore (US)
Openalex Percentile: Top 26%
Organ Donation and Transplantation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.