A classification tree for the prediction of benign versus malignant disease in patients with small renal masses

作者：Rendon Ricardo A^*; Mason Ross J; Kirkland Susan; Lawen Joseph G; Abdolell Mohamed

来源：Canadian Journal of Urology, 2014, 21(4): 7379-7384.

• benign
• diagnosis
• prognosis
• renal cell carcinoma
• renal mass
• pathology

Introduction: To develop a classification tree for the preoperative prediction of benign versus malignant disease in patients with small renal masses. %26lt;br%26gt;Materials and methods: This is a retrospective study including 395 consecutive patients who underwent surgical treatment for a renal mass %26lt; 5 cm in maximum diameter between July 1st 2001 and June 30th 2010. A classification tree to predict the risk of having a benign renal mass preoperatively was developed using recursive partitioning analysis for repeated measures outcomes. Age, sex, volume on preoperative imaging, tumor location (central/peripheral), degree of endophytic component (1%-100%), and tumor axis position were used as potential predictors to develop the model. %26lt;br%26gt;Results: Forty-five patients (11.4%) were found to have a benign mass postoperatively. A classification tree has been developed which can predict the risk of benign disease with an accuracy of 88.9% (95% CI: 85.3 to 91.8). The significant prognostic factors in the classification tree are tumor volume, degree of endophytic component and symptoms at diagnosis. As an example of its utilization, a renal mass with a volume of %26lt; 5.67 cm(3) that is %26lt; 45%. endophytic has a 52.6% chance of having benign pathology. Conversely, a renal mass with a volume %26gt;= 5.67 cm(3) that is %26gt;= 35% endophytic has only a 5.3% possibility of being benign. %26lt;br%26gt;Conclusions: A classification tree to predict the risk of benign disease in small renal masses has been developed to aid the clinician when deciding on treatment strategies for small renal masses.

• 出版日期2014-8