Renal tumor contact surface area: A novel parameter for predicting complexity and outcomes of partial nephrectomy

Scott Leslie, Inderbir S. Gill, Andre Luis De Castro Abreu, Syed Rahmanuddin, Karanvir S. Gill, Mike Nguyen, Andre K. Berger, Alvin C. Goh, Jie Cai, Vinay A. Duddalwar, Monish Aron, Mihir M. Desai

Research output: Contribution to journalArticlepeer-review

93 Scopus citations


Results and limitations: The mean tumor size was 3.1 cm; CSA was 18.3 cm2. CSA ≥20 cm2 correlated with adverse tumor characteristics (greater tumor size, volume, and complexity) and perioperative outcomes (more parenchymal volume loss, blood loss, and complications) compared with CSA <20 cm2. On multivariable logistic regression, CSA independently predicted operative time, complications, hospital stay, and renal functional outcomes. This predictive ability of CSA was superior to the other parameters evaluated.

Conclusions: CSA is a novel imaging parameter that quantifies the CSA of renal tumor with adjacent parenchyma. Our preliminary data indicate that CSA correlates with PN outcomes. If validated externally in a larger cohort, CSA could be incorporated into future versions of nephrometry scoring systems.

Patient summary: In this study we outline the method of calculating the contact surface area (CSA) of renal tumors with the surrounding normal kidney using image-rendering software. We found that CSA correlates with a number of important surgical outcomes including operative time, loss of renal function, and complications.

Background The contact surface area (CSA) of a tumor with adjacent renal parenchyma may determine the complexity and thus the perioperative outcomes of partial nephrectomy (PN).

Objective: We devised a novel imaging parameter, renal tumor CSA, and correlate it with perioperative outcomes in patients undergoing PN.

Design, setting, and participants: Of 200 patients undergoing PN for a tumor (January 2010 to August 2011), 162 had renal protocol computed tomography scanning data available. CSA was calculated using image-rendering software (Synapse 3D, Fujifilm), and interobserver variability was determined between three independent observers.

Outcome measurements and statistical analysis: CSA was correlated to baseline demographics and perioperative outcomes as a continuous and categorical variable using multivariable logistic regression analysis. The ability of CSA to predict adverse perioperative events was compared with demographic factors and nephrometry scoring systems.

Original languageEnglish (US)
Pages (from-to)884-893
Number of pages10
JournalEuropean Urology
Issue number5
StatePublished - Nov 1 2014


  • Complications
  • Kidney Renal neoplasm
  • Laparoscopy
  • Partial nephrectomy
  • Robotic surgery

ASJC Scopus subject areas

  • Urology


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