Robot-assisted partial nephrectomy for complex renal tumors: Analysis of a large multi-institutional database.
Publication/Presentation Date
8-1-2023
Abstract
INTRODUCTION: Highly complex renal masses pose a challenge to urologic surgeons' ability to perform robotic partial nephrectomy (RPN). Given the increased utilization of the robotic approach for small renal masses, we sought to characterize the outcomes and determine the safety and feasibility of RPN for complex renal masses from our large multi-institutional cohort.
METHODS: We performed a retrospective analysis of patients with R.E.N.A.L. Nephrometry Scores ≥10 who underwent RPN in our multi-institutional cohort (N = 372). Baseline demographic, clinical and tumor related characteristics were evaluated with the primary endpoint of trifecta achievement (defined as negative surgical margin, no major complications, and warm ischemia time ≤25 min). Relationships between variables were assessed using the chi-square test of independence, Fisher exact test, Mann-Whitney U test, and Kruskal Wallis test. Logistic regression was used to evaluate the relationship between baseline characteristics and trifecta achievement.
RESULTS: Of 372 patients in the study, mean age was 58 years, and median BMI was 30.49 kg/m
CONCLUSION: RPN is a safe and reproducible procedure for complex tumors with R.E.N.A.L. Nephrometry scores ≥10. Our results suggest excellent rates of trifecta achievement and short-term functional outcomes when performed by experienced surgeons. Long-term oncological and functional evaluation are needed to further support this conclusion.
Volume
41
Issue
8
First Page
9
Last Page
358
ISSN
1873-2496
Published In/Presented At
Ucpinar, B., Rich, J. M., Okhawere, K. E., Razdan, S., Zaytoun, O., Zuluaga, L., Saini, I., Stifelman, M. D., Abaza, R., Eun, D. D., Bhandari, A., Hemal, A. K., Porter, J., Crivellero, S., Mansour, A., Pierorazio, P. M., & Badani, K. K. (2023). Robot-assisted partial nephrectomy for complex renal tumors: Analysis of a large multi-institutional database. Urologic oncology, 41(8), 358.e9–358.e15. https://doi.org/10.1016/j.urolonc.2023.05.016
Disciplines
Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods
PubMedID
37316415
Department(s)
Administration and Leadership
Document Type
Article