Tumor diameter accurately predicts perioperative outcomes in T1 renal cancer treated with robot-assisted partial nephrectomy

Aaron M. Potretzke, Theodora A. Potretzke, B. Alexander Knight, Joel Vetter, Alyssa M. Park, Grecori Anderson, Sam B. Bhayani, R. Sherburne Figenshau

Research output: Contribution to journalArticle

5 Scopus citations

Abstract

Purpose: To compare diameter as a continuous variable with categorical R.E.N.A.L. nephrometry score (RNS) in predicting surgical outcomes of robotic partial nephrectomy (RPN). Methods: We retrospectively reviewed consecutive patients receiving RPN at our institution between July 2007 and June 2014 (n = 286). Three separate multivariate analyses were performed to assess the relationship between RNS components (R = radius, E = endophyticity, N = nearness to collecting system, L = location relative to polar lines), total RNS, and diameter as a continuous variable with operating time, warm ischemia time (WIT), and estimated blood loss (EBL). Each linear regression model’s quality of fit to the data was assessed with coefficients of determination (R2). Results: Continuous tumor diameter and total RNS were each significantly correlated to operative time, EBL, and WIT (p < 0.001). Categorical R related to operative time (R = 2 vs. R = 1, p = 0.001; R = 3 vs. R = 1, p = 0.001) and WIT (R = 2 vs. R = 1, p = 0.003; R = 3 vs. R = 1, p = 0.016), but not to EBL. For each of these outcomes, diameter outperformed both R and total RNS, as assessed by R2. Age, body mass index, Charlson Comorbidity Index, and anterior versus posterior location did not correlate with surgical outcomes. Conclusions: In this series of RPN from a high-volume center, surgical outcomes more closely related to tumor diameter than RNS. While RNS provides surgeons a standardized tool for preoperative planning of renal masses, tumor size may be employed as a more familiar measurement when counseling patients on potential outcomes.

Original languageEnglish
Pages (from-to)1643-1650
Number of pages8
JournalWorld Journal of Urology
Volume34
Issue number12
DOIs
StatePublished - Dec 1 2016

Keywords

  • Kidney neoplasms
  • Nephrectomy
  • Partial nephrectomy
  • Renal cancer
  • Robotics

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