Zhou Shi-Chong, Le Jian, Zhou Jin, Huang Yun-Xia, Qian Lang, Chang Cai
Department of Ultrasonography, Fudan University Shanghai Cancer Center, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Department of Ultrasonography, Fudan University Shanghai Cancer Center, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Clin Breast Cancer. 2020 Aug;20(4):e490-e509. doi: 10.1016/j.clbc.2020.03.002. Epub 2020 Mar 20.
To determine the overall performance of contrast-enhanced ultrasound (CEUS) in differentiating between benign and malignant breast lesions and in predicting the pathologic response to neoadjuvant chemotherapy (NAC) in patients with breast cancer (BC).
Articles published up to April 2019 were systematically searched in Medline, Web of Science, and China National Knowledge Infrastructure. The sensitivities and specificities across studies, the calculations of positive and negative likelihood ratios (LR and LR), diagnostic odds ratio (OR), and constructed summary receiver operating characteristic curves were determined. Methodologic quality was assessed using the QUADAS (Quality Assessment of Diagnostic Accuracy Studies) tool. Subgroup analyses and metaregression were performed on prespecified study-level characteristics.
Fifty-one studies involving 4875 patients with 5246 breast lesions and 10 studies involving 462 patients with BC receiving NAC were included. Methodologic quality was relatively high, and no publication bias was detected. The overall sensitivity, specificity, diagnostic OR, LR, and LR for CEUS were 0.88 (95% confidence interval [CI], 0.86-0.89), 0.82 (95% CI, 0.80-0.83), 30.55 (95% CI, 21.40-43.62), 4.29 (95% CI, 3.51-5.25), and 0.16 (95% CI, 0.13-0.21), respectively, showing statistical heterogeneity. Multivariable metaregression analysis showed contrast mode to be the most significant source of heterogeneity. The overall sensitivity, specificity, LR, LR, and diagnostic OR of CEUS imaging in predicting the overall pathologic response to NAC in patients with BC were 0.89 (95% CI, 0.83-0.93), 0.83 (95% CI, 0.78-0.88), 4.49 (95% CI, 3.04-6.62), 0.16 (95% CI, 0.10-0.24,), and 32.21 (95% CI, 16.74-62.01), respectively, showing mild heterogeneity.
Our data confirmed the excellent performance of breast CEUS in differentiating between benign and malignant breast lesions as well as pathologic response prediction in patients with BC receiving NAC.
确定超声造影(CEUS)在鉴别乳腺良恶性病变以及预测乳腺癌(BC)患者新辅助化疗(NAC)的病理反应方面的整体性能。
在Medline、科学网和中国知网系统检索截至2019年4月发表的文章。确定各研究的敏感性和特异性、阳性和阴性似然比(LR+和LR-)、诊断比值比(OR)的计算,并构建汇总的受试者工作特征曲线。使用QUADAS(诊断准确性研究质量评估)工具评估方法学质量。对预先设定的研究水平特征进行亚组分析和Meta回归。
纳入了51项涉及4875例患者的5246个乳腺病变的研究,以及10项涉及462例接受NAC的BC患者的研究。方法学质量相对较高,未检测到发表偏倚。CEUS的总体敏感性、特异性、诊断OR、LR+和LR-分别为0.88(95%置信区间[CI],0.86-0.89)、0.82(95%CI,0.80-0.83)、30.55(95%CI,21.40-43.62)、4.29(95%CI,3.51-5.25)和0.16(95%CI,0.13-0.21),显示出统计学异质性。多变量Meta回归分析显示,对比模式是异质性的最主要来源。CEUS成像在预测BC患者对NAC的总体病理反应方面的总体敏感性、特异性、LR+、LR-和诊断OR分别为0.89(95%CI,0.83-0.93)、0.83(95%CI,0.78-0.88)、4.49(95%CI,3.04-6.62)、0.16(95%CI,0.10-0.24)和32.21(95%CI,16.74-62.01),显示出轻度异质性。
我们的数据证实了乳腺CEUS在鉴别乳腺良恶性病变以及预测接受NAC的BC患者的病理反应方面具有出色的性能。