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锥形束乳腺计算机断层扫描的诊断准确性:系统评价和诊断荟萃分析。

Diagnostic accuracy of cone-beam breast computed tomography: a systematic review and diagnostic meta-analysis.

机构信息

Department of Diagnostic and Interventional Radiology, University Medical Center Goettingen, Robert-Koch-Str. 40, 37075, Goettingen, Germany.

Section of Interventional Radiology, Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.

出版信息

Eur Radiol. 2019 Mar;29(3):1194-1202. doi: 10.1007/s00330-018-5711-9. Epub 2018 Sep 25.

Abstract

PURPOSE

To review the published evidence on cone-beam breast computed tomography (CBBCT) and summarize its diagnostic accuracy for breast lesion assessment.

MATERIALS AND METHODS

A systematic literature search was conducted using the EMBASE, MEDLINE and CENTRAL libraries. Studies were included if reporting sensitivity and specificity for discrimination of benign and malignant breast lesions via breast CT. Sensitivity and specificity were jointly modeled using a bivariate approach calculating summary areas under the receiver-operating characteristics curve (AUC). All analyses were separately performed for non-contrast and contrast-enhanced CBBCT (NC-CBBCT, CE-CBBCT).

RESULTS

A total of 362 studies were screened, of which 6 with 559 patients were included. All studies were conducted between 2015 and 2018 and evaluated female participants. Four of six studies included dense and very dense breasts with a high proportion of microcalcifications. For NC-CBBCT, pooled sensitivity was 0.789 (95% CI: 0.66-0.89) and pooled specificity was 0.697 (95% CI: 0.471-0.851), both showing considerable significant between-study heterogeneity (I = 89.4%, I = 94.7%, both p < 0.001). Partial AUC for NC-CBBCT was 0.817. For CE-CBBCT, pooled sensitivity was 0.899 (95% CI: 0.785-0.956) and pooled specificity was 0.788 (95% CI: 0.709-0.85), both exhibiting non-significant moderate between-study heterogeneity (I = 57.3%, p = 0.0527; I = 53.1%, p = 0.0738). Partial AUC for CE-CBBCT was 0.869.

CONCLUSION

The evidence available for CBBCT tends to show superior diagnostic performance for CE-CBBCT over NC-CBBCT regarding sensitivity, specificity and partial AUC. Diagnostic accuracy of CE-CBBCT was numerically comparable to that of breast MRI with meta-analyses reporting sensitivity of 0.9 and specificity of 0.72.

KEY POINTS

• CE-CBBCT rather than NC-CBBCT should be used for assessment of breast lesions for its higher diagnostic accuracy. • CE-CBBCT diagnostic performance was comparable to published results on breast MRI, thus qualifying CE-CBBCT as a potential imaging alternative for patients with MRI contraindications.

摘要

目的

回顾锥形束乳腺计算机断层扫描(CBBCT)的已发表证据,并总结其在乳腺病变评估中的诊断准确性。

材料和方法

使用 EMBASE、MEDLINE 和 CENTRAL 数据库进行系统文献检索。如果报告通过乳房 CT 对良性和恶性乳腺病变进行鉴别诊断的敏感性和特异性,则纳入研究。使用双变量方法计算接收者操作特征曲线下的汇总面积(AUC)联合建模敏感性和特异性。分别对非对比增强和对比增强 CBBCT(NC-CBBCT、CE-CBBCT)进行所有分析。

结果

共筛选出 362 篇研究,其中纳入 6 项研究共 559 例患者。所有研究均在 2015 年至 2018 年进行,评估了女性参与者。6 项研究中有 4 项包括致密和非常致密的乳房,其中微钙化比例较高。对于 NC-CBBCT,汇总敏感性为 0.789(95%CI:0.66-0.89),汇总特异性为 0.697(95%CI:0.471-0.851),均显示出相当大的显著异质性(I = 89.4%,I = 94.7%,均 p < 0.001)。NC-CBBCT 的部分 AUC 为 0.817。对于 CE-CBBCT,汇总敏感性为 0.899(95%CI:0.785-0.956),汇总特异性为 0.788(95%CI:0.709-0.85),两者均表现出非显著的中度异质性(I = 57.3%,p = 0.0527;I = 53.1%,p = 0.0738)。CE-CBBCT 的部分 AUC 为 0.869。

结论

现有 CBBCT 证据表明,CE-CBBCT 在敏感性、特异性和部分 AUC 方面的诊断性能优于 NC-CBBCT。CE-CBBCT 的诊断准确性在数值上与乳腺 MRI 的结果相当,Meta 分析报告的敏感性为 0.9,特异性为 0.72。

关键点

  1. 由于其较高的诊断准确性,应使用 CE-CBBCT 而不是 NC-CBBCT 来评估乳腺病变。

  2. CE-CBBCT 的诊断性能与已发表的乳腺 MRI 结果相当,因此有资格成为 MRI 禁忌证患者的潜在成像替代方法。

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