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首页> 外文期刊>Urologia internationalis >Validation of nomograms predicting lymph node involvement in patients with prostate cancer undergoing extended pelvic lymph node dissection
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Validation of nomograms predicting lymph node involvement in patients with prostate cancer undergoing extended pelvic lymph node dissection

机译:诺模图预测前列腺癌行盆腔淋巴结清扫术患者淋巴结受累的验证

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摘要

Our aim was to validate Briganti's nomograms predicting the probability of lymph node involvement (LNI) in prostate cancer (PCa). Clinicopathological data of 256 PCa patients who underwent extended pelvic lymph node dissection (ePLND) and radical prostatectomy (RP) were obtained from two Bulgarian institutions. Predicted probabilities of LNI were assessed using Briganti's nomograms based on ePLND. In addition to the established basic LNI predictors, Briganti's nomograms included the number of lymph nodes removed (version 2006) and the number and percentage of positive biopsy cores (versions 2007 and 2012). The accuracy of these nomograms was compared with the updated Memorial Sloan-Kettering Cancer Center (MSKCC) nomogram (version 2011). Receiver-operating characteristics analysis was done to assess the discriminative ability of each of the nomograms applied. All of Briganti's nomograms showed a higher predictive accuracy as compared with the updated MSKCC nomogram. The respective AUC values were calculated as 0.847, 0.837, 0.858 and 0.875 for the four Briganti nomograms, and 0.770 for the updated MSKCC nomogram, respectively. Despite the potential for heterogeneity in patient selection and management, all predictions demonstrated high concordance with actual observations. Compared with other similar prognostic tools the updated Briganti nomogram (version 2012) showed the highest predictive accuracy and should therefore be preferred.
机译:我们的目的是验证Briganti的诺模图预测前列腺癌(PCa)淋巴结受累(LNI)的可能性。从两个保加利亚机构获得了256例行盆腔淋巴结清扫术(ePLND)和前列腺癌根治术(RP)的PCa患者的临床病理数据。使用基于ePLND的Briganti列线图评估了LNI的预测概率。除了已建立的基本LNI预测指标外,Briganti的诺模图还包括切除的淋巴结数量(2006版)以及阳性活检核心的数量和百分比(2007版和2012版)。将这些列线图的准确性与更新后的纪念斯隆-凯特琳癌症中心(MSKCC)列线图(2011版)进行了比较。进行接收器操作特性分析以评估所应用的每个诺模图的判别能力。与更新的MSKCC列线图相比,所有Briganti列线图均显示出更高的预测精度。四个Briganti列线图的各自AUC值分别计算为0.847、0.837、0.858和0.875,更新后的MSKCC列线图的0.77分别为0.770。尽管在患者选择和管理方面存在异质性的可能,但所有预测均与实际观察结果高度一致。与其他类似的预后工具相比,更新的Briganti nomogram(2012版)显示出最高的预测准确性,因此应首选。

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