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A Nomogram Based on a TRUS Five-Grade Scoring System for the Prediction of Prostate Cancer and High Grade Prostate Cancer at Initial TRUS-Guided Biopsy

机译:基于TRUS五级评分系统的线型图在TRUS引导下进行活检时预测前列腺癌和高级前列腺癌

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摘要

Purpose: To evaluate the efficacy of transrectal ultrasound five-grade scoring system (TRUS-5) in predicting prostate cancer (PCa) and high grade PCa (HGPCa), compared with TRUS two-grade scoring system (TRUS-2), and establish a TRUS-5 based nomogram for the prediction of PCa and HGPCa at initial biopsy (IPBx).Methods: Data were collected from 862 men who underwent initial TRUS-guided 12-core prostate biopsy. Age, prostate-specific antigen (PSA), percent free PSA, digital rectal examination (DRE), prostate volume (PV), PSA density (PSAD) and TRUS findings were included in the analysis. For TRUS-5, the probability of PCa was quantified on a scale from 1 (benign) to 5 (malignant). TRUS-2 used the grades “normal” and “suspicious”. After univariate and multivariate logistic regression analyses, nomogram models were developed and internally validated based on independent predictors to predict the probability of PCa and HGPCa.Results: Overall PCa was detected in 42% (362/862) with 26.22% (226/862) showing HGPCa. TRUS-5 significantly outperformed TRUS-2 for the risk prediction of PCa and HGPCa (area under the receiver operating characteristic curve [AUC]: 0.787 vs. 0.694 for PCa, 0.841 vs. 0.713 for HGPCa, P<0.05). The TRUS-5 based nomogram showed higher AUCs (0.905 for PCa, 0.903 for HGPCa) than PSA alone, clinical base model, the TRUS-2 based model, and other predictive models (P<0.05).Conclusions: TRUS-5 represents a better imaging predictor than TRUS-2 for PCa and HGPCa. Our TRUS-5 based nomogram models performed well for the prediction of PCa and HGPCa at IPBx, which may help to make the decision to biopsy.
机译:目的:评价经直肠超声五级评分系统(TRUS-5)在预测前列腺癌(PCa)和高级别PCa(HGPCa)中的功效,并与TRUS二级评分系统(TRUS-2)进行比较,并建立基于TRUS-5的诺模图用于预测初始活检(IPBx)时的PCa和HGPCa。方法:从862例接受TRUS指导的12核心前列腺活检的男性中收集数据。分析中包括年龄,前列腺特异性抗原(PSA),游离PSA百分比,直肠指检(DRE),前列腺体积(PV),PSA密度(PSAD)和TRUS结果。对于TRUS-5,PCa的可能性以1(良性)至5(恶性)的等级进行量化。 TRUS-2使用“正常”和“可疑”等级。经过单因素和多元logistic回归分析后,建立了诺模图模型并基于独立的预测因子对内部进行了验证,以预测PCa和HGPCa的可能性。结果:总PCa检出率为42%(362/862),占26.22%(226/862)显示HGPCa。对于PCa和HGPCa的风险预测,TRUS-5明显优于TRUS-2(接收者工作特征曲线[AUC]下的区域:PCa为0.787对0.694,HGPCa为0.841对0.713,P <0.05)。基于TRUS-5的列线图显示了比单独的PSA,临床基础模型,基于TRUS-2的模型和其他预测模型更高的AUC(PCa为0.905,HGPCa为0.903)。结论:TRUS-5代表一个PCa和HGPCa的成像预测指标优于TRUS-2。我们基于TRUS-5的列线图模型对于IPBx处PCa和HGPCa的预测表现良好,这可能有助于做出活检决策。

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