首页> 美国卫生研究院文献>Scientific Reports >Establishment and Validation of Extra-transitional Zone Prostate Specific Antigen Density (ETzD) a Novel Structure-based Parameter for Quantifying the Oncological Hazard of Prostates with Enlarged Stroma
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Establishment and Validation of Extra-transitional Zone Prostate Specific Antigen Density (ETzD) a Novel Structure-based Parameter for Quantifying the Oncological Hazard of Prostates with Enlarged Stroma

机译:过渡区带前列腺特异性抗原密度(ETzD)的建立和验证ETzD一种基于结构的新型参数可量化具有增厚基质的前列腺癌的危险性

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摘要

Extra-transitional zone density (ETzD), a novel parameter is proposed to stratify the deviation of prostate specific antigen (PSA) due to structural change according to stromal hyperplasia of prostate. ETzD was conducted on a concept to estimate the PSA density (PSAD) after hypothetical enucleation of the transitional zone of an enlarged prostate by a non-linear regression prediction model with intrinsic linearity, from the retrospective analysis of PSA change observed actual enucleation by laser. The performance to predict the presence and severity of malignancy was validated by two cohorts of 3,440 prostate biopsies and 2,783 radical prostatectomy specimens. The performance of ETzD was compared with conventional parameters. The receiver operative curve of area under curve (AUC) of ETzD to predict the presence of malignacy was 0.862 (95% CI; 0.843~0.881), better than PSA, PSAD or transitional zone PSAD (TzPSAD). The AUC of ETzD to predict an unfavorable cancer among prostate cancer patients was 0.736 (95% CI; 0.705~0.768), which performs better than PSA and comparable to PSAD or TzPSAD. In summary, the performance of ETzD as a universal parameter to quantify the oncological hazard of a prostate was validated and the superiority to conventional parameters was verified.
机译:过渡外区密度(ETzD),一个新的参数被提出来分层,以归因于根据前列腺基质增生的结构变化引起的前列腺特异性抗原(PSA)的偏离。根据具有内在线性的非线性回归预测模型,通过对PSA变化的回顾性分析(通过激光观察到的实际摘除),对一个扩大的前列腺的过渡区进行假定摘除后,对ETzD进行了估计,以估计PSA密度(PSAD)。通过两个队列的3440例前列腺活检和2783例根治性前列腺切除术标本验证了预测恶性肿瘤存在和严重程度的性能。将ETzD的性能与常规参数进行了比较。 ETzD曲线下面积(AUC)的接收者可预测恶性肿瘤的工作曲线为0.862(95%CI; 0.843〜0.881),优于PSA,PSAD或过渡区PSAD(TzPSAD)。预测前列腺癌患者恶性肿瘤的ETzD的AUC为0.736(95%CI; 0.705〜0.768),其表现优于PSA,与PSAD或TzPSAD相当。总之,验证了ETzD作为量化前列腺癌风险的通用参数的性能,并验证了其优于常规参数的优越性。

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