首页> 外文期刊>The Journal of Urology >The impact of prostate volume, number of biopsy cores and American urological association symptom score on the sensitivity of cancer detection using the prostate cancer prevention trial risk calculator
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The impact of prostate volume, number of biopsy cores and American urological association symptom score on the sensitivity of cancer detection using the prostate cancer prevention trial risk calculator

机译:使用前列腺癌预防试验风险计算器,前列腺体积,活检芯数和美国泌尿科协会症状评分对癌症检测灵敏度的影响

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Purpose: We assessed the independent predictive value of prostate volume, number of biopsy cores and AUASS (American Urological Association symptom score) compared to risk factors included in the PCPTRC (Prostate Cancer Prevention Trial risk calculator for prostate cancer) and PCPTHG (Prostate Cancer Prevention Trial risk calculator for high grade cancer [Gleason grade 7 or greater]). Materials and Methods: Of 5,519 PCPT (Prostate Cancer Prevention Trial) participants used to construct the PCPTRC 4,958 with AUASS and prostate specific antigen 10 ng/ml or less were included on logistic regression analysis. Risk algorithms were evaluated in 571 EDRN (Early Detection Research Network) participants using the ROC AUC. Results: A total of 1,094 participants (22.1%) had prostate cancer, of whom 232 (21.2%) had high grade disease. For prostate cancer prediction higher prostate specific antigen, abnormal digital rectal examination, family history of prostate cancer and number of cores were associated with increased risk, while volume was associated with decreased risk. Excluding prostate volume and number of cores, a history of negative biopsy and increased AUASS were also associated with lower risk. For high grade cancer higher prostate specific antigen, abnormal digital rectal examination, black race and number of cores were associated with increased risk and volume, while AUASS was associated with decreased risk. The AUC of the PCPTRC adjusted for volume and number of cores was 72.7% (using EDRN data), 68.2% when adjusted for AUASS alone and 67.6% PCPTRC. For high grade disease the AUCs were 74.8%, 74.0% and 73.5% (PCPTHG), respectively. Conclusions: Adjusted PCPT risk calculators for volume, number of cores and AUASS improve cancer detection.
机译:目的:与PCPTRC(前列腺癌预防性前列腺癌风险试验计算器)和PCPTHG(前列腺癌预防)中包含的危险因素相比,我们评估了前列腺体积,活检芯数和AUASS(美国泌尿学会症状评分)的独立预测价值高级癌症的试验风险计算器(格里森7级或更高)。材料和方法:在5,519名使用AUASS和前列腺特异性抗原10 ng / ml或更少构建PCPTRC 4,958的PCPT(前列腺癌预防试验)参与者中,进行了逻辑回归分析。使用ROC AUC在571名EDRN(早期检测研究网络)参与者中评估了风险算法。结果:共有1,094名参与者(22.1%)患有前列腺癌,其中232名(21.2%)具有高度疾病。对于前列腺癌预测,较高的前列腺特异性抗原,异常的直肠指检,前列腺癌的家族史和核心数目与增加的风险相关,而体积与减少的风险相关。除前列腺体积和核心数目外,活检阴性和AUASS增加的病史也与较低的风险有关。对于高级别的癌症,较高的前列腺特异性抗原,异常的直肠指检,黑种人和核心数目与增加的风险和体积相关,而AUASS与降低的风险相关。调整后的核芯体积和数量的PCPTRC的AUC为72.7%(使用EDRN数据),对单独的AUASS进行校正时的AUC为68.2%,对PCPTRC的校正为67.6%。对于严重疾病,AUC分别为74.8%,74.0%和73.5%(PCPTHG)。结论:调整后的PCPT风险计算器的数量,核心数和AUASS可改善癌症检测。

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