Pereira-Azevedo Nuno, Braga Isaac, Verbeek Jan Fm, Osório Luís, Cavadas Vítor, Fraga Avelino, Carrasquinho Eduardo, Cardoso de Oliveira Eduardo, Nieboer Daan, Roobol Monique J
Department of Urology, Erasmus University Medical Center, Rotterdam, the Netherlands.
Urology Department, Porto Hospital Centre, Porto, Portugal.
Int J Urol. 2017 Dec;24(12):826-832. doi: 10.1111/iju.13442. Epub 2017 Sep 13.
To assess the level of agreement between digital rectal examination findings of two urologists and its effect on risk prediction using the digital rectal examination-based Rotterdam Prostate Cancer Risk Calculator.
The study sample consisted of a prospective cohort of asymptomatic unscreened men with prostate-specific antigen ≤50.0 ng/mL and transrectal ultrasound volume ≤110 mL who underwent transrectal ultrasound-guided prostate biopsy. Both urologists' digital rectal examination findings were graded normal or abnormal (nodularity and/or induration), and volume classified as 25, 40 or 60 mL, according to the risk calculator algorithm. Interrater agreement analysis using Cohen's kappa (κ) statistic was carried out to determine consistency of digital rectal examination outcome and volume assessment. Receiver operating characteristic curve analysis and calibration plots were constructed to determine the effect of interrater differences. Decision curve analysis was applied to evaluate the clinical usefulness of the model.
Of the 241 men included in the study, 41% (n = 98) had prostate cancer (81 were clinically significant, i.e. Gleason ≥3 + 4). There was substantial agreement in the digital rectal examination (abnormal/normal; κ = 0.78; P < 0.001) and volume estimation (κ = 0.79; P < 0.001). Receiver operating characteristic analyses showed good discrimination (0.75-0.78) and were comparable for both urologists. In the high-risk cohort, at a probability threshold of 25%, the risk calculator reduced the prostate biopsy rate by 9%, without missing cancers.
Slight differences in digital rectal examination findings seem to have very limited impact on the performance of the Rotterdam Prostate Cancer Risk Calculator. Therefore, this can be considered a useful prostate biopsy outcome prediction tool.
评估两位泌尿科医生直肠指检结果之间的一致性水平,以及其对使用基于直肠指检的鹿特丹前列腺癌风险计算器进行风险预测的影响。
研究样本包括一组前瞻性队列,为无症状且未接受筛查的男性,其前列腺特异性抗原≤50.0 ng/mL,经直肠超声测量前列腺体积≤110 mL,且接受了经直肠超声引导下的前列腺穿刺活检。根据风险计算器算法,两位泌尿科医生的直肠指检结果分为正常或异常(结节和/或硬结),前列腺体积分为25 mL、40 mL或60 mL。采用Cohen's kappa(κ)统计量进行评分者间一致性分析,以确定直肠指检结果和体积评估的一致性。构建受试者工作特征曲线分析和校准图,以确定评分者间差异的影响。应用决策曲线分析评估模型的临床实用性。
在纳入研究的241名男性中,41%(n = 98)患有前列腺癌(81例具有临床意义,即Gleason评分≥3 + 4)。直肠指检(异常/正常;κ = 0.78;P < 0.001)和体积估计(κ = 0.79;P < 0.001)方面存在高度一致性。受试者工作特征分析显示具有良好的区分度(0.75 - 0.78),且两位泌尿科医生的结果相当。在高风险队列中,在概率阈值为25%时,风险计算器将前列腺穿刺活检率降低了9%,且未漏诊癌症。
直肠指检结果的细微差异似乎对鹿特丹前列腺癌风险计算器的性能影响非常有限。因此,可将其视为一种有用的前列腺穿刺活检结果预测工具。