Prevalence and impact on survival of positive surgical margins in partial nephrectomy for renal cell carcinoma: a population-based study
Prevalence and impact on survival of positive surgical margins in partial nephrectomy for renal cell carcinoma: a population-based study
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DOI:
10.1111/j.1464-410x.2012.11675.x
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发表时间:
2013-06-01
影响因子:
4.5
通讯作者:
Abouassaly, Robert
中科院分区:
文献类型:
--
作者:
Ani, Ifeanyi;Finelli, Antonio;Abouassaly, Robert
What's known on the subject? and What does the study add? The increased detection of small renal masses (SRMs) with diagnostic imaging has highlighted the importance of preserving renal function, with many patients with SRMs being managed with nephron-sparing procedures. The significance of positive surgical margins (PSMs) is debatable and various studies have looked at the risk factors for PSMs and recurrence. It has been suggested that tumour size may be a risk factor and the centrality of the tumour has been found to be an increased risk factor. The indication and location of the tumour has been found to be an independent predictive factor for recurrence. Various studies have assessed the outcome of patients with PSMs with short- to intermediate-term follow-up. Our study has an intermediate-term median follow-up of 7.9 years, and found no significant difference in 5-year disease-specific and overall survival rates between patients with PSMs and negative surgical margins. We also found that tumour size was not significant, but pathological stage and fat invasion were found to be significant. These risk factors have not been published in previous studies.Objectives To determine the prevalence of positive surgical margins (PSMs) on a population level.To identify the predictors of PSMs and assess their impact on survival.Patients and Methods Using the Ontario Cancer Registry, we reviewed pathology reports on 664 patients after partial nephrectomy for renal cell carcinoma between 1995 and 2004.Demographic information and pathological characteristics were obtained and multivariable logistic regression analysis was performed to determine the predictors of PSMs.Kaplan-Meier analysis was used to examine disease-specific (DSS) and overall survival (OS) by margin status. A multivariable Cox proportional hazards model was used to determine the independent association between PSMs and survival.Results The mean patient age was 57.7 years and 61.6% were men. Tumour size was