首页> 外文期刊>The Journal of Urology >A new preoperative nomogram to predict minimal prostate cancer: accuracy and error rates compared to other tools to select patients for active surveillance.
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A new preoperative nomogram to predict minimal prostate cancer: accuracy and error rates compared to other tools to select patients for active surveillance.

机译:一种新的术前列线图可预测最小的前列腺癌:与其他工具进行主动监测的工具相比,准确性和错误率更高。

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PURPOSE: We designed and fully evaluated the performance of a nomogram to identify patients with prostate cancer who may be suitable for active surveillance. MATERIALS AND METHODS: We developed a nomogram to predict the probability of minimal prostate cancer (total tumor volume less than 0.5 cc, organ confined disease and no Gleason pattern 4 or 5) using preoperative data on 2,525 Australian patients who underwent radical prostatectomy. Accuracy and error rates at multiple probability cutoffs were compared with those of contemporary Epstein criteria and the Prostate Cancer Research International: Active Surveillance trial inclusion criteria when applied to these patients. High risk disease was defined as 1 or more adverse characteristics (including positive surgical margins, seminal vesicle invasion, extracapsular extension, 50% or greater Gleason pattern 4/5 and/or tumor volume 4.0 cc or greater) at radical prostatectomy. RESULTS: Minimal cancer was confirmed in 152 men (6.0%) at prostatectomy. The bootstrap corrected predictive accuracy of our nomogram was 93.3% vs 89.1% and 91.0% for Prostate Cancer Research International: Active Surveillance and Epstein criteria, respectively. For men with a nomogram derived minimal cancer probability of 0% to 4.9%, 5.0% to 19.9%, 20.0% to 34.9%, 35.0% to 49.9% and 50.0% to 71.0% the rate of high risk disease was 70.8%, 37.8%, 22.4%, 9.0% and 3.8%, respectively. In contrast, the rate of high risk disease for men who met Prostate Cancer Research International: Active Surveillance and Epstein criteria were 17.1% and 13.9%, respectively. CONCLUSIONS: A detailed breakdown of the expected rates of false-positive results and high risk disease associated with the nomogram derived probability of minimal cancer would provide more complete information to clinicians and patients on which to base therapeutic clinical decisions for presumed early stage prostate cancer.
机译:目的:我们设计并完全评估了诺模图的性能,以识别可能适合主动监测的前列腺癌患者。材料和方法:我们使用2525名行前列腺癌根治术的澳大利亚患者的术前数据,开发出了诺模图来预测最小的前列腺癌(总肿瘤体积小于0.5 cc,器官受限疾病且无格里森模式4或5)的可能性。将适用于这些患者的多个概率临界值的准确性和错误率与当代爱泼斯坦标准和国际前列腺癌研究:主动监测试验纳入标准进行了比较。高危疾病被定义为在前列腺癌根治术中出现的一种或多种不良特征(包括手术切缘阳性,精囊浸润,囊外延伸,50%或更大的格里森模式4/5和/或肿瘤体积4.0 cc或更大)。结果:在前列腺切除术中确诊为152名男性(6.0%)的最小癌症。自举校正后的诺模图预测准确性为93.3%,而国际前列腺癌研究:主动监测和爱泼斯坦标准分别为89.1%和91.0%。对于由诺模图得出的最小癌症概率为0%至4.9%,5.0%至19.9%,20.0%至34.9%,35.0%至49.9%和50.0%至71.0%的男性,高危疾病发生率分别为70.8%,37.8 %,22.4%,9.0%和3.8%。相比之下,符合国际前列腺癌研究:主动监测和爱泼斯坦标准的男性的高危疾病发生率分别为17.1%和13.9%。结论:与诺模图得出的最小癌症概率相关的假阳性结果和高危疾病的预期发生率的详细分类将为临床医生和患者提供更完整的信息,从而为推定的早期前列腺癌提供临床治疗决策。

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