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首页> 外文期刊>Radiotherapy and oncology: Journal of the European Society for Therapeutic Radiology and Oncology >Assessing the most accurate formula to predict the risk of lymph node metastases from prostate cancer in contemporary patients treated with radical prostatectomy and extended pelvic lymph node dissection
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Assessing the most accurate formula to predict the risk of lymph node metastases from prostate cancer in contemporary patients treated with radical prostatectomy and extended pelvic lymph node dissection

机译：评估最准确的公式，以预测接受根治性前列腺切除术和盆腔淋巴结清扫术治疗的当代患者前列腺癌淋巴结转移的风险

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Background and purpose The aim of this study was to perform a head-to-head comparison of the Roach formula vs. two other newly developed prediction tools for lymph node invasion (LNI) in prostate cancer, namely the Nguyen and the Yu formulas. Material and methods We included 3115 patients treated with radical prostatectomy and extended pelvic lymph node dissection (ePLND), between 2000 and 2010 at a single center. The predictive accuracy of the three formulas was assessed and compared using the area-under-curve (AUC) and calibration methods. Moreover, decision curve analysis compared the net-benefit of the three formulas in a head-to-head fashion. Results Overall, 10.8% of patients had LNI. The LNI-predicted risk was >15% in 25.5%, 3.4%, and 10.2% of patients according to the Roach, Nguyen and Yu formula, respectively. The AUC was 80.5%, 80.5% and 79%, respectively (all p > 0.05). However, the Roach formula demonstrated more favorable calibration and generated the highest net-benefit relative to the other examined formulas in decision curve analysis. Conclusions All formulas demonstrated high and comparable discrimination accuracy in predicting LNI, when externally validated on ePLND treated patients. However, the Roach formula showed the most favorable characteristics. Therefore, its use should be preferred over the two other tools.
机译：背景与目的本研究的目的是对Roach公式与另外两个新开发的前列腺癌淋巴结浸润（LNI）预测工具Nguyen和Yu公式进行正面对比。材料和方法我们纳入了2000年至2010年间在同一中心接受根治性前列腺切除术和盆腔淋巴结清扫术（ePLND）的3115例患者。使用曲线下面积（AUC）和校准方法评估并比较了三个公式的预测准确性。此外，决策曲线分析以头对头的方式比较了这三个公式的净收益。结果总体而言，有10.8％的患者患有LNI。根据Roach，Nguyen和Yu公式，在25.5％，3.4％和10.2％的患者中，LNI预测的风险分别> 15％。 AUC分别为80.5％，80.5％和79％（所有p> 0.05）。但是，相对于其他在决策曲线分析中检验的公式，罗奇公式显示出更有利的校准并产生最高的净收益。结论当在ePLND治疗的患者上进行外部验证时，所有公式在预测LNI方面均显示出较高且可比的判别准确性。然而，罗奇配方显示出最有利的特性。因此，应优先使用它而不是其他两个工具。

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