Zhang Aimi, Li Panli, Liu Qiufang, Song Shaoli
Department of Nuclear Medicine, Ren Ji Hospital, School of Medicine, Shanghai Jiao, Tong University, 200127, Shanghai, China.
Hell J Nucl Med. 2017 Jan-Apr;20(1):26-35. doi: 10.1967/s002449910503. Epub 2017 Mar 20.
This study aimed to evaluate the diagnostic role of breast-specific gamma camera imaging (BSGI) with technetium-99m-methoxy isobutyl isonitrile (Tc-MIBI) and magnetic resonance imaging (MRI) in patients with breast cancer through a meta-analysis.
Three reviewers searched articles published in medical journals before June 2016 in MEDLINE, EMBASE and Springer Databases; the references listed in original articles were also retrieved. We used the quality assessment of diagnostic accuracy studies (QUADAS) tool to assess the quality of the included studies. Heterogeneity, pooled sensitivity and specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio (DOR) and summary receiver operating characteristic (SROC) curves were calculated by Meta-DiSc software to estimate the diagnostic performance of BSGI and MRI. Ten studies with 517 patients were included after meeting the inclusion criteria. We did a subgroup analysis of the same data type.
The pooled sensitivities of BSGI and MRI were: 0.84 (95% CI, 0.79-0.88) and 0.89 (95% CI, 0.84-0.92) respectively, and the pooled specificities of BSGI and MRI were: 0.82 (95% CI, 0.74-0.88) and 0.39 (95% CI, 0.30-0.49) respectively. The areas under the SROC curve of BSGI and MRI were 0.93 and 0.72 respectively.
The results of our meta-analysis indicated that compared with MRI, BSGI has similar sensitivity, higher specificity, better diagnostic performance, and can be widely used in clinical practice.
本研究旨在通过荟萃分析评估锝-99m-甲氧基异丁基异腈(Tc-MIBI)乳腺专用γ相机成像(BSGI)和磁共振成像(MRI)在乳腺癌患者中的诊断作用。
三名研究者检索了2016年6月之前发表在MEDLINE、EMBASE和Springer数据库中的医学期刊文章;还检索了原始文章中列出的参考文献。我们使用诊断准确性研究质量评估(QUADAS)工具评估纳入研究的质量。通过Meta-DiSc软件计算异质性、合并敏感度和特异度、阳性似然比、阴性似然比、诊断比值比(DOR)和汇总接收器操作特征(SROC)曲线,以估计BSGI和MRI的诊断性能。符合纳入标准后纳入了10项研究,共517例患者。我们对相同数据类型进行了亚组分析。
BSGI和MRI的合并敏感度分别为:0.84(95%可信区间,0.79 - 0.88)和0.89(95%可信区间,0.84 - 0.92),BSGI和MRI的合并特异度分别为:0.82(95%可信区间,0.74 - 0.88)和0.39(95%可信区间,0.30 - 0.49)。BSGI和MRI的SROC曲线下面积分别为0.93和0.72。
我们的荟萃分析结果表明,与MRI相比,BSGI具有相似的敏感度、更高的特异度、更好的诊断性能,可广泛应用于临床实践。