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Head-to-head comparison of lymph node density and number of positive lymph nodes in stratifying the outcome of patients with lymph node-positive prostate cancer submitted to radical prostatectomy and extended lymph node dissection

机译:淋巴结密度和阳性淋巴结数目在分层进行前列腺癌根治术和扩大淋巴结清扫的淋巴结阳性前列腺癌患者结局的分层比较

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Objective: The aim of this study was to compare the predictive ability of lymph node density (LND) and number of positive lymph nodes in patients with prostate cancer and lymph node invasion. Materials and methods: We included 568 patients with lymph node invasion treated with radical prostatectomy and extended pelvic lymph node dissection between January 1990 and July 2011 at a single center. The Kaplan-Meier method and multivariable Cox regression models tested the association between the number of positive lymph nodes or LND and cancer-specific survival (CSS). The predictive accuracy of a baseline model was assessed using Harrell's concordance index and then compared with that of a model including either the number of positive nodes or LND. Results: The median number of positive lymph nodes was 2, whereas the median LND was 11.1%. At 5, 8, and 10 years, CSS rates were 92.5%, 83.9%, and 82.8%, respectively. At multivariable analyses, number of positive lymph nodes and LND, considered as continuous variables, were independent predictors of CSS (all P≤0.01). A 30% LND cutoff was found to be highly predictive of CSS (P = 0.004), and a cutoff of 2 positive nodes was confirmed to be a strong predictor of CSS (P = 0.02). The number of positive nodes and LND similarly, continuous or dichotomized, increased the accuracy for CSS predictions (0.68-0.69 vs. 0.61 of baseline model). LND cutoff of 30% increased the discrimination the most (0.69; +0.083). Conclusions: The number of positive lymph nodes and LND showed comparable discriminative power for long-term CSS predictions. A cutoff of 30% LND might be suggested for the selection of patients candidate for adjuvant systemic therapy, because it increased the model's discrimination the most.
机译:目的:本研究的目的是比较前列腺癌和淋巴结浸润患者的淋巴结密度(LND)和阳性淋巴结数目的预测能力。材料和方法:我们纳入1990年1月至2011年7月之间在同一中心接受568例行前列腺根治性切除术和盆腔淋巴结清扫术治疗的淋巴结浸润患者。 Kaplan-Meier方法和多变量Cox回归模型测试了阳性淋巴结或LND数量与癌症特异性生存率(CSS)之间的关联。使用Harrell一致性指数评估基线模型的预测准确性,然后将其与包含阳性结节数或LND的模型进行比较。结果:阳性淋巴结中位数为2,而LND中位数为11.1%。在5、8和10年时,CSS发生率分别为92.5%,83.9%和82.8%。在多变量分析中,阳性淋巴结和LND的数量(视为连续变量)是CSS的独立预测因子(所有P≤0.01)。发现30%的LND截止值可以高度预测CSS(P = 0.004),并且确定2个阳性结点的截止值可以很好地预测CSS(P = 0.02)。阳性节点和LND的数量(连续或二等分)相似地提高了CSS预测的准确性(基线模型的精度为0.68-0.69 vs. 0.61)。 LND截止30%时,辨别力最大(0.69; +0.083)。结论:阳性淋巴结和LND的数量对长期CSS预测具有可比的判别力。建议选择30%LND作为辅助系统治疗候选患者的选择,因为这会最大程度地增加模型的辨别力。

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