Jin Guanqiao, Su Dan Ke, Luo Ning Bin, Liu Li Dong, Zhu Xuna, Huang Xiang Yang
Department of Radiology, Tumor hospital, Guang Xi Medical University, Nanning, PR China.
J Comput Assist Tomogr. 2013 Mar-Apr;37(2):195-202. doi: 10.1097/RCT.0b013e3182801ae1.
The objective of this study was to determine the diagnostic performance of quantitative diffusion-weighted magnetic resonance imaging in detection of prostate cancer.
A comprehensive search was performed for English articles published before May 2012 that fulfilled the following criteria: patients had histopathologically proved prostate cancer; diffusion-weighted imaging (DWI) was performed for the detection of prostate cancer, and data for calculating sensitivity and specificity were included. Methodological quality was assessed by using the quality assessment of diagnostic studies instrument. Publication bias analysis, homogeneity, inconsistency index, and threshold effect were performed by STATA version 12.
Of 119 eligible studies, 12 with 1637 malignant and 4803 benign lesions were included. There was notable heterogeneity beyond threshold effect and publication bias. The sensitivity and specificity with 95% confidence interval (CI) estimates of DWI on a per-lesion basis were 77% (CI, 0.76-0.84) and 84% (CI, 0.78-0.89), respectively, and the area under the curve of summary receiver operating characteristic curve was 0.88 (CI, 0.85-0.90). The overall positive and negative likelihood ratios with 95% CI were 4.93 (3.39-7.17) and 0.278 (0.19-0.39), respectively.
Quantitative DWI has a relative sensitivity and specificity to distinguish malignant from benign in prostate lesions. However, large-scale randomized control trials are necessary to assess its clinical value because of nonuniformed diffusion gradient b factor, diagnosis threshold, and small number of studies.
本研究的目的是确定定量扩散加权磁共振成像在前列腺癌检测中的诊断性能。
对2012年5月之前发表的符合以下标准的英文文章进行全面检索:患者经组织病理学证实患有前列腺癌;进行扩散加权成像(DWI)以检测前列腺癌,并纳入计算敏感性和特异性的数据。使用诊断研究质量评估工具评估方法学质量。通过STATA 12版本进行发表偏倚分析、同质性、不一致性指数和阈值效应分析。
在119项符合条件的研究中,纳入了12项研究,其中有1637个恶性病变和4803个良性病变。除阈值效应和发表偏倚外,存在显著的异质性。基于每个病变的DWI的敏感性和特异性以及95%置信区间(CI)估计分别为77%(CI,0.76 - 0.84)和84%(CI,0.78 - 0.89),汇总受试者操作特征曲线下面积为0.88(CI,0.85 - 0.90)。总体阳性和阴性似然比以及95%CI分别为4.93(3.39 - 7.17)和0.278(0.19 - 0.39)。
定量DWI在区分前列腺病变的恶性和良性方面具有相对的敏感性和特异性。然而,由于扩散梯度b因子不统一、诊断阈值以及研究数量较少,有必要进行大规模随机对照试验来评估其临床价值。