Wu Lian-Ming, Chen Xiao-Xi, Li Yu-Lai, Hua Jia, Chen Jie, Hu Jiani, Xu Jian-Rong
Department of Radiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, No. 1630, Dongfang Road, Pudong, Shanghai 200127, China.
Department of Radiology, Wayne State University, Detroit, Michigan.
Acad Radiol. 2014 Mar;21(3):355-63. doi: 10.1016/j.acra.2013.10.008. Epub 2013 Dec 12.
To evaluate the ability of diffusion-weighted magnetic resonance imaging (DWI) in differentiating malignant thyroid nodules from benign lesions with a meta-analysis.
Articles in English and Chinese language relating to the accuracy of DWI for this utility were retrieved. Pooled estimation and subgroup analysis data were obtained by statistical analysis.
A total of seven studies (17 subsets) with 358 patients, who fulfilled all of the inclusion criteria, were considered for the analysis. No publication bias was found (bias = 7.03, P > .05). Methodological quality was relatively high. DWI sensitivity was 0.91 (95% confidence interval [CI], 0.87-0.94) and specificity was 0.93 (95% CI, 0.86-0.96). Overall, positive likelihood ratio was 12.24 (95% CI, 6.47-23.20) and negative likelihood ratio was 0.99 (95% CI, 0.06-0.15). Diagnostic odds ratio was 123.78 (95% CI, 56.85-269.48). The area under the curve of the summary receiver operating characteristic was 0.94 (95% CI, 0.92-0.96). In patients with high pretest probabilities, DWI enabled confirmation of malignant thyroid lesion; in patients with low pretest probabilities, DWI enabled exclusion of malignant thyroid lesion. Worst-case-scenario (pretest probability, 50%) posttest probabilities were 92% and 9% for positive and negative DWI results, respectively.
A limited number of small studies suggests that quantitative DWI is a reliable diagnostic method for differentiation between benign and malignant thyroid lesions.
通过荟萃分析评估扩散加权磁共振成像(DWI)区分甲状腺恶性结节与良性病变的能力。
检索了有关DWI在此用途准确性方面的英文和中文文章。通过统计分析获得合并估计值和亚组分析数据。
共有7项研究(17个亚组),涉及358例符合所有纳入标准的患者,纳入分析。未发现发表偏倚(偏倚 = 7.03,P > 0.05)。方法学质量相对较高。DWI的敏感性为0.91(95%置信区间[CI],0.87 - 0.94),特异性为0.93(95% CI,0.86 - 0.96)。总体而言,阳性似然比为12.24(95% CI,6.47 - 23.20),阴性似然比为0.99(95% CI,0.06 - 0.15)。诊断比值比为123.78(95% CI,56.85 - 269.48)。汇总受试者工作特征曲线下面积为0.94(95% CI,0.92 - 0.96)。在预测试概率高的患者中,DWI能够确诊甲状腺恶性病变;在预测试概率低的患者中,DWI能够排除甲状腺恶性病变。在最坏情况(预测试概率为50%)下,DWI阳性和阴性结果的测试后概率分别为92%和9%。
数量有限的小型研究表明,定量DWI是区分甲状腺良恶性病变的可靠诊断方法。