PDF(Pubmed)
Abstract：
OBJECTIVE: Ultrasound (US) technology has recently made advances that have led to the development of modalities including elastography and contrast-enhanced ultrasound. The use of different US modalities in combination may increase the accuracy of PCa diagnosis. This study aims to assess the diagnostic accuracy of multiparametric ultrasound (mpUS) in the PCa diagnosis.
METHODS: Through September 2023, we searched through Cochrane CENTRAL, PubMed, Embase, Scopus, Web of Science, ClinicalTrial.gov, and Google Scholar for relevant studies. We used standard methods recommended for meta-analyses of diagnostic evaluation. We plot the SROC curve, which stands for summary receiver operating characteristic. To determine how confounding factors affected the results, meta-regression analysis was used.
RESULTS: Finally, 1004 patients from 8 studies that were included in this research were examined. The diagnostic odds ratio for PCa was 20 (95% confidence interval (CI), 8-49) and the pooled estimates of mpUS for diagnosis were as follows: sensitivity, 0.88 (95% CI, 0.81-0.93); specificity, 0.72 (95% CI, 0.59-0.83); positive predictive value, 0.75 (95% CI, 0.63-0.87); and negative predictive value, 0.82 (95% CI, 0.71-0.93). The area under the SROC curve was 0.89 (95% CI, 0.86-0.92). There was a significant heterogeneity among the studies (p < 0.01). According to meta-regression, both the sensitivity and specificity of mpUS in the diagnosis of clinically significant PCa (csPCa) were inferior to any PCa.
CONCLUSIONS: The diagnostic accuracy of mpUS in the diagnosis of PCa is moderate, but the accuracy in the diagnosis of csPCa is significantly lower than any PCa. More relevant research is needed in the future.
UNASSIGNED: This study provides urologists and sonographers with useful data by summarizing the accuracy of multiparametric ultrasound in the detection of prostate cancer.
CONCLUSIONS: • Recent studies focused on the role of multiparametric ultrasound in the diagnosis of prostate cancer. • This meta-analysis revealed that multiparametric ultrasound has moderate diagnostic accuracy for prostate cancer. • The diagnostic accuracy of multiparametric ultrasound in the diagnosis of clinically significant prostate cancer is significantly lower than any prostate cancer.
METHODS: Through September 2023, we searched through Cochrane CENTRAL, PubMed, Embase, Scopus, Web of Science, ClinicalTrial.gov, and Google Scholar for relevant studies. We used standard methods recommended for meta-analyses of diagnostic evaluation. We plot the SROC curve, which stands for summary receiver operating characteristic. To determine how confounding factors affected the results, meta-regression analysis was used.
RESULTS: Finally, 1004 patients from 8 studies that were included in this research were examined. The diagnostic odds ratio for PCa was 20 (95% confidence interval (CI), 8-49) and the pooled estimates of mpUS for diagnosis were as follows: sensitivity, 0.88 (95% CI, 0.81-0.93); specificity, 0.72 (95% CI, 0.59-0.83); positive predictive value, 0.75 (95% CI, 0.63-0.87); and negative predictive value, 0.82 (95% CI, 0.71-0.93). The area under the SROC curve was 0.89 (95% CI, 0.86-0.92). There was a significant heterogeneity among the studies (p < 0.01). According to meta-regression, both the sensitivity and specificity of mpUS in the diagnosis of clinically significant PCa (csPCa) were inferior to any PCa.
CONCLUSIONS: The diagnostic accuracy of mpUS in the diagnosis of PCa is moderate, but the accuracy in the diagnosis of csPCa is significantly lower than any PCa. More relevant research is needed in the future.
UNASSIGNED: This study provides urologists and sonographers with useful data by summarizing the accuracy of multiparametric ultrasound in the detection of prostate cancer.
CONCLUSIONS: • Recent studies focused on the role of multiparametric ultrasound in the diagnosis of prostate cancer. • This meta-analysis revealed that multiparametric ultrasound has moderate diagnostic accuracy for prostate cancer. • The diagnostic accuracy of multiparametric ultrasound in the diagnosis of clinically significant prostate cancer is significantly lower than any prostate cancer.
摘要：
目的：超声（US）技术最近取得了进步，导致了包括弹性成像和对比增强超声在内的模态的发展。联合使用不同的US模式可以提高PCa诊断的准确性。本研究旨在评估多参数超声（mpUS）在PCa诊断中的诊断准确性。
方法：到2023年9月，我们通过CochraneCENTRAL进行了搜索，PubMed,Embase,Scopus,WebofScience,ClinicalTrial.gov,和谷歌学者进行相关研究。我们使用推荐的标准方法进行诊断评估的荟萃分析。我们绘制了SROC曲线，代表接收器工作特性的摘要。要确定混杂因素如何影响结果，使用meta回归分析。
结果：最后，对纳入本研究的8项研究的1004名患者进行了检查。PCa的诊断比值比为20(95%置信区间(CI)，8-49)和用于诊断的MPUS的汇总估计如下：敏感性，0.88（95%CI，0.81-0.93）；特异性，0.72（95%CI，0.59-0.83）；阳性预测值，0.75（95%CI，0.63-0.87）；阴性预测值，0.82（95%CI，0.71-0.93）。SROC曲线下面积为0.89(95%CI,0.86-0.92)。研究间存在显著的异质性(p<0.01)。根据元回归，mpUS诊断有临床意义的PCa(csPCa)的敏感性和特异性均劣于任何PCa.
结论：MPUS诊断PCa的准确性中等，但csPCa诊断的准确性明显低于任何PCa。未来需要更多的相关研究。
■这项研究通过总结多参数超声在前列腺癌检测中的准确性，为泌尿科医师和超声医师提供了有用的数据。
结论：•最近的研究集中在多参数超声在前列腺癌诊断中的作用。•这项荟萃分析显示，多参数超声对前列腺癌具有中等诊断准确性。•多参数超声在临床显著前列腺癌的诊断中的诊断准确性显著低于任何前列腺癌。
方法：到2023年9月，我们通过CochraneCENTRAL进行了搜索，PubMed,Embase,Scopus,WebofScience,ClinicalTrial.gov,和谷歌学者进行相关研究。我们使用推荐的标准方法进行诊断评估的荟萃分析。我们绘制了SROC曲线，代表接收器工作特性的摘要。要确定混杂因素如何影响结果，使用meta回归分析。
结果：最后，对纳入本研究的8项研究的1004名患者进行了检查。PCa的诊断比值比为20(95%置信区间(CI)，8-49)和用于诊断的MPUS的汇总估计如下：敏感性，0.88（95%CI，0.81-0.93）；特异性，0.72（95%CI，0.59-0.83）；阳性预测值，0.75（95%CI，0.63-0.87）；阴性预测值，0.82（95%CI，0.71-0.93）。SROC曲线下面积为0.89(95%CI,0.86-0.92)。研究间存在显著的异质性(p<0.01)。根据元回归，mpUS诊断有临床意义的PCa(csPCa)的敏感性和特异性均劣于任何PCa.
结论：MPUS诊断PCa的准确性中等，但csPCa诊断的准确性明显低于任何PCa。未来需要更多的相关研究。
■这项研究通过总结多参数超声在前列腺癌检测中的准确性，为泌尿科医师和超声医师提供了有用的数据。
结论：•最近的研究集中在多参数超声在前列腺癌诊断中的作用。•这项荟萃分析显示，多参数超声对前列腺癌具有中等诊断准确性。•多参数超声在临床显著前列腺癌的诊断中的诊断准确性显著低于任何前列腺癌。
