Article ID Journal Published Year Pages File Type
6252671 Journal of the American College of Surgeons 2015 12 Pages PDF
Abstract

BackgroundThe number of renal columns invaded by tumor (NRC) can determine the tumor complexity and perioperative outcomes of off-clamp open partial nephrectomy (OPN). We aimed to propose a novel and simple scoring system and examine the relationship between NRC and perioperative outcomes after off-clamp OPN.Study DesignWe retrospectively evaluated 202 patients with contrast-enhanced CT imaging who underwent off-clamp OPN between January 2008 and November 2014. The number of renal columns invaded by tumor was correlated to baseline demographics and perioperative outcomes as a categorical variable using multivariable logistic regression analysis.ResultsThe mean tumor size was 2.5 cm (±1.3 cm). The number of renal columns invaded by tumor had the highest correlation coefficients with estimated blood loss (coefficient = 0.485; p < 0.001), operative time (coefficient = 0.310; p < 0.001), postoperative drainage (coefficient = 0.307; p < 0.001), and hospital length of stay (coefficient = 0.144; p = 0.041). Multivariable logistic regression demonstrated NRC to be an independent predictor of estimated blood loss ≥500 mL, postoperative renal function, operative time, and surgical complications. This predictive ability of NRC was superior to the R.E.N.A.L. (radius exophyic/endophytic nearness anterior/posterior location) score and PADUA (preoperative aspects and dimensions used for an anatomical) score. Spearman correlation coefficient of NRC calculations between the 2 observers was 0.941 (p < 0.001).ConclusionsThe number of renal columns invaded by tumor is a novel, intuitive, and practical parameter that could be used to quantify renal tumor complexity and predict the risk of perioperative outcomes after off-clamp OPN. Specifically, NRC correlates with estimated blood loss, operative time, surgical complications, renal function, and conversion to on-clamp. In the future, NRC can be integrated with other parameters, such as tumor location, to assemble a new scoring system.

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