Zhang Shuxin, Liu Yang
From the Department of Thoracic Surgery, Chinese PLA General Hospital (SZ, YL); and Department of Thoracic Surgery, Chinese PLA 309th Hospital (SZ), Beijing, China.
Medicine (Baltimore). 2016 May;95(18):e3571. doi: 10.1097/MD.0000000000003571.
We performed a meta-analysis to evaluate the value of technetium-99m methoxy isobutyl isonitrile (Tc-MIBI) single photon emission computed tomography (SPECT) in differentiating malignant from benign lung lesions.The PubMed and Embase databases were comprehensively searched for relevant articles that evaluated lung lesions suspicious for malignancy. Two reviewers independently extracted the data on study characteristics and examination results, and assessed the quality of each selected study. The data extracted from the eligible studies were assessed by heterogeneity and threshold effect tests. Pooled sensitivity, specificity, diagnostic odds ratio (DOR), and areas under the summary receiver-operating characteristic curves (SROC) were also calculated.Fourteen studies were included in this meta-analysis. The pooled sensitivity, specificity, positive and negative likelihood ratio, and DOR of Tc-MIBI scan in detecting malignant lung lesions were 0.84 (95% confidence interval [CI]: 0.81, 0.87), 0.83 (95% CI: 0.77, 0.88), 4.22 (95% CI: 2.53, 7.04), 0.20 (95% CI: 0.12, 0.31), and 25.71 (95% CI: 10.67, 61.96), respectively. The area under the SROC was 0.9062. Meta-regression analysis showed that the accuracy estimates were significantly influenced by ethnic groups (P < 0.01), but not by image analysis methods, mean lesion size, or year of publication. Deek funnel plot asymmetry test for the overall analysis did not raise suspicion of publication bias (P = 0.50).Our results indicated that Tc-MIBI scan is a promising diagnostic modality in predicting the malignancy of lung lesions.
我们进行了一项荟萃分析,以评估锝-99m甲氧基异丁基异腈(Tc-MIBI)单光子发射计算机断层扫描(SPECT)在鉴别肺部恶性病变与良性病变中的价值。全面检索了PubMed和Embase数据库,以查找评估可疑恶性肺部病变的相关文章。两名审阅者独立提取了关于研究特征和检查结果的数据,并评估了每项入选研究的质量。对从符合条件的研究中提取的数据进行了异质性和阈值效应检验。还计算了合并敏感度、特异度、诊断比值比(DOR)以及汇总接受者操作特征曲线(SROC)下的面积。
本荟萃分析纳入了14项研究。Tc-MIBI扫描检测肺部恶性病变的合并敏感度、特异度、阳性和阴性似然比以及DOR分别为0.84(95%置信区间[CI]:0.81,0.87)、0.83(95%CI:0.77,0.88)、4.22(95%CI:2.53,7.04)、0.20(95%CI:0.12,0.31)和25.71(95%CI:10.67,61.96)。SROC下的面积为0.9062。Meta回归分析表明,准确性估计值受种族显著影响(P<0.01),但不受图像分析方法、平均病变大小或发表年份的影响。整体分析的Deek漏斗图不对称性检验未引起对发表偏倚的怀疑(P=0.50)。
我们的结果表明,Tc-MIBI扫描在预测肺部病变的恶性程度方面是一种有前景的诊断方法。