Partial Nephrectomy for Presumed Renal-Cell Carcinoma: Incidence, Predictors, and Perioperative Outcomes of Benign Lesions

医学 肾切除术 肾细胞癌 嗜酸细胞瘤 围手术期 恶性肿瘤 血管平滑肌脂肪瘤 组织学 肾病科 入射(几何) 阶段(地层学) 泌尿科 内科学 胃肠病学 外科 古生物学 物理 光学 生物
作者
Tyler M. Bauman,Aaron M. Potretzke,Alec J. Wright,B. Alexander Knight,Joel Vetter,R. Sherburne Figenshau
出处
期刊:Journal of Endourology [Mary Ann Liebert]
卷期号:31 (4): 412-417 被引量:37
标识
DOI:10.1089/end.2016.0667
摘要

The aim of this study was to investigate the incidence of benign histology after partial nephrectomy (PN) in patients with presumed malignancy from preoperative imaging. Furthermore, preoperative predictors of benign lesions and perioperative outcomes were also assessed.A series of patients undergoing PN for renal masses was identified using a prospectively maintained database. Patients were excluded for known genetic conditions, if more than one renal mass was resected, or if standard preoperative imaging was not suspicious for renal-cell carcinoma (RCC). Differences in characteristics between patients with benign and malignant pathology were assessed.A total of 916 patients were identified who underwent PN between 2007 and 2015, including 129 (14.1%) patients with a final diagnosis of benign disease. The most common types of benign pathology were oncocytoma (n = 66, 51.2%), angiomyolipoma (n = 37, 28.7%), and complex cysts (n = 10, 7.8%). Low body mass index (BMI) [0.96 (0.92-0.99) p = 0.02], low R.E.N.A.L. score [0.86 (0.76-0.96) p = 0.007], and low preoperative creatinine [0.37 (0.14-0.91) p = 0.04] predicted benign histology in multivariate analysis. Tumor size was a significant predictor in additional modeling [0.81 (0.69-0.94) p = 0.008]. Patients with benign histology had significantly shorter operative times (p < 0.001) and less estimated blood loss (p < 0.001), and there was no difference in complication (p = 0.93) or blood transfusion (0.24) rates.In this study, the rate of benign pathology after PN for presumed RCC is 14.1%. BMI, R.E.N.A.L. score, and preoperative creatinine are predictive of benign histology, but the ability of different variables to predict benign lesions may be influenced by the distribution of benign tumor subtypes, reflecting potential unidentified selection bias.
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