1. Patient and nonradiographic tumor characteristics predicting lipid-poor angiomyolipoma in small renal masses: Introducing the BEARS index
- Author
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Tyler M. Bauman, Aaron M. Potretzke, Alec J. Wright, Joel M. Vetter, Theodora A. Potretzke, and R. Sherburne Figenshau
- Subjects
Angiomyolipoma ,Decision support techniques ,Nephrectomy ,Renal cell carcinoma ,Diseases of the genitourinary system. Urology ,RC870-923 - Abstract
Purpose: To create a simple model using clinical variables for predicting lipid-poor angiomyolipoma (AML) in patients with small renal masses presumed to be renal cell carcinoma (RCC) from preoperative imaging. Materials and Methods: A series of patients undergoing partial nephrectomy (PN) for renal masses ≤4 cm was identified using a prospectively maintained database. Patients were excluded if standard preoperative imaging was not consistent with RCC. Chi square and Mann-Whitney U analyses were used to evaluate differences in characteristics between patients with AML and other types of pathology. A logistic regression model was constructed for multivariable analysis of predictors of lipid-poor AML. Results: A total of 730 patients were identified that underwent PN for renal masses ≤4 cm between 2007–2015, including 35 with lipid-poor AML and 620 with RCC. In multivariable analysis, the following features predicted AML: female sex (odds ratio, 6.89; 95% confidence interval, 2.35–20.92; p
- Published
- 2017
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