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钙化征象对肺结节良恶性预测的价值:一项荟萃分析。

Calcification sign for prediction of benignity in pulmonary nodules: A meta-analysis.

机构信息

CT Department, The Third Affiliated Hospital of Xinjiang Medical University, Urumqi, China.

Imaging Center, The Fifth Affiliated Hospital of Xinjiang Medical University, Urumqi, China.

出版信息

Clin Respir J. 2021 Oct;15(10):1073-1080. doi: 10.1111/crj.13410. Epub 2021 Jul 1.

Abstract

BACKGROUND

The calcification sign assessed by computed tomography appears to be a potential marker for benignities among patients diagnosed with pulmonary nodules (PNs). The following meta-analysis has been purposefully designed to figure-out the diagnostic value of the calcification signature as a way of identifying benignities from PNs.

METHODS

Cochrane Library, Embase and PubMed were considered as a reference to obtain the required data from January 2000 until October 2020. Stata v12.0 was used as a standard tool for statistical assessment.

RESULTS

Eleven retrospective studies were assessed via this meta-analysis, which included 6136 PNs (1827 benign and 4309 malignant). The pooled diagnostic odd ratios, positive likelihood ratio (PLR), negative likelihood ratio (NLR), sensitivity and specificity were 6.79, 6.06, 0.89, 13% and 98%, respectively. The value obtained for the area under the curve was 0.65, showing moderate overall diagnostic accuracy. A significant heterogeneity was found while calculating the pooled sensitivity (I  = 85.5%), specificity (I  = 75.0%), PLR (I  = 59.0%), NLR (I  = 79.5%) and DOR (I  = 100.0%) in the current analysis. Sub-group analyses presented better PLR and specificity values for the study with a sample size ≥ 400. Deeks' funnel plot asymmetry test detected no potential evidence of significant publication bias (p = 0.091).

CONCLUSIONS

Calcification signs have been identified as moderate regulators corresponding to overall diagnostic performance (via marking a distinct differentiation between malignant and benign) for PNs. However, the manifestation of the calcification sign had a good directive property for benign PNs.

摘要

背景

计算机断层扫描评估的钙化征象似乎是诊断为肺结节 (PN) 的患者中良性的潜在标志物。本荟萃分析旨在确定钙化特征作为从 PN 中识别良性的诊断价值。

方法

Cochrane 图书馆、Embase 和 PubMed 被视为获取 2000 年 1 月至 2020 年 10 月所需数据的参考。Stata v12.0 被用作统计评估的标准工具。

结果

通过这项荟萃分析评估了 11 项回顾性研究,共纳入 6136 个 PN(1827 个良性和 4309 个恶性)。汇总的诊断比值比、阳性似然比 (PLR)、阴性似然比 (NLR)、敏感性和特异性分别为 6.79、6.06、0.89、13%和 98%。曲线下面积的值为 0.65,表明总体诊断准确性中等。在计算汇总敏感性(I = 85.5%)、特异性(I = 75.0%)、PLR(I = 59.0%)、NLR(I = 79.5%)和 DOR(I = 100.0%)时,发现了显著的异质性当前分析。亚组分析显示,对于样本量≥400 的研究,PLR 和特异性值更好。Deeks 漏斗图不对称检验未发现潜在的发表偏倚证据(p = 0.091)。

结论

钙化征象已被确定为总体诊断性能(通过对恶性和良性进行明显区分)的中等调节剂。然而,钙化征象的表现对良性 PN 具有良好的指导作用。

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