卓越微血管成像测量的血管指数对评估乳腺肿瘤的诊断价值:一项荟萃分析。

Medical ultrasonography Pub Date : 2023-12-27 Epub Date: 2023-10-09 DOI:10.11152/mu-4124
JingJing Luo, Tao Li, Yutong Liu
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引用次数: 0

摘要

目的:本荟萃分析旨在评估使用血管指数(VI)进行超精细微血管成像(SMI)诊断乳腺肿瘤的准确性。材料和方法:两名研究人员在PubMed、Web of Science、Embase、Cochrane Library和Scopus上搜索相关文献,直到2023年3月14日。Stata 16.0版软件用于计算敏感性(Sen)、特异性(Spe)、阳性似然比(PLR)、阴性似然比(NLR)和诊断奇比值(DOR)的合并值。使用I2统计和Q检验评估纳入文献之间的异质性。进行影响分析是为了确保汇总结论的稳健性,而Deeks漏斗图不对称性检验是为了评估发表偏倚。我们还进行了总结接收机工作特性(SROC)曲线。结果:6项研究包括1200个乳腺病变。SMI VI的最终结果如下:合并的Sen为0.80(95%置信区间(CI),0.75-0.85),合并的Spe为0.68(95%CI 0.63-0.74),合并PLR为2.54(95%CI 2.07-3.12),合并NLR为0.29(95%CI 0.22-0.38),合并DOR为8.91(95%CI 5.62-14.13),SROC下面积(AUC)为0.81。结论:VI应用SMI可能对患者有益,是诊断乳腺肿瘤的一个有价值的SMI定量参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Diagnostic value of the vascular index measured by superb microvascular imaging for evaluating breast tumors: a meta-analysis.

Aim: This meta-analysis aims to assess the accuracy of superb microvascular imaging (SMI) using the vascular index (VI) in the diagnosis of breast tumors.

Material and methods: PubMed, Web of Science, Embase, Cochrane Library and Scopus were searched for relevant literature by two researchers until March 14, 2023. The Stata Version 16.0 software was utilized to compute the pooled values for sensitivity (Sen), specificity (Spe), positive likelihood ratio (PLR), negative likelihood ratio (NLR) and diagnostic odd ratios (DOR). Heterogeneity among the included literature was assessed using the I2 statistic and Q test. Conducting influence analysis was used to ensure the robustness of the pooled conclusions and the Deeks' funnel plot asymmetry test to assess publication bias. We also performed the summary receiver operating characteristic (SROC) curve.

Results: Six studies included 1200 breast lesions. The ultimate results in the VI of SMI are as follows: The pooled Sen was 0.80 (95% confidence interval(CI), 0.75-0.85), the pooled Spe was 0.68 (95% CI 0.63-0.74), the pooled PLR was 2.54 (95% CI 2.07-3.12), the pooled NLR was 0.29 (95% CI 0.22-0.38), the pooled DOR was 8.91 (95% CI 5.62-14.13), and the area under the SROC (AUC) was 0.81.

Conclusion: The application of SMI using VI may have the potential to benefit the patients and represents a valuable quantitative parameter of SMI for the diagnosis of breast neoplasms.

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