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Value of shear wave elastography in discriminating malignant and benign breast lesions: A meta-analysis
被引:36
|作者:
Xue, Yan
[1
]
Yao, Shuxin
[2
]
Li, Xiaodong
[3
]
Zhang, Huarong
[1
]
机构:
[1] Linyi Peoples Hosp, Dept Ultrasonog, Linyi 276000, Shandong, Peoples R China
[2] Heze Municipal Hosp, Dept Ultrasonog, Heze City, Shandong, Peoples R China
[3] Linyi Peoples Hosp, Dept Radiol, Linyi, Shandong, Peoples R China
来源:
关键词:
breast cancer;
diagnose;
shear wave elastography;
FORCE IMPULSE ARFI;
TOUCH TISSUE QUANTIFICATION;
DIFFERENTIAL-DIAGNOSIS;
CLINICAL-APPLICATION;
TEXTURE ANALYSIS;
BI-RADS;
ULTRASOUND;
MASSES;
CANCER;
US;
D O I:
10.1097/MD.0000000000007412
中图分类号:
R5 [内科学];
学科分类号:
1002 ;
100201 ;
摘要:
The analysis was aimed to evaluate the diagnostic accuracy of shear wave elastography (SWE) for malignant breast lesions through a meta-analysis.Related articles were searched from Pubmed, Embase, and Cochrane library. Overall sensitivity and specificity were analyzed with DerSimonian and Laird random effects model. Area under curve with corresponding 95% confidence interval (were calculated to evaluate the diagnostic accuracy of SWE. Sensitivity and publication bias were assessed as well.A total of 25 articles including 4128 patients and 4546 breast lesions were included in the pooled analysis. In the subgroup analysis, diagnostic sensitivity and specificity of SWE in Asian population were 0.84 (0.79-0.88) and 0.87 (0.84-0.90), respectively, whereas they were 0.92 (0.86-0.96) and 0.89 (0.84-0.92) in Caucasian population. The diagnostic accuracy of SWE was a little higher for Caucasians than for Asians (0.95 vs. 0.92). The diagnostic sensitivity and specificity of virtual touch tissue quantification were 0.85 (0.77-0.91) and 0.93 (0.88-0.96), respectively. It showed a little higher value in specificity and summary ROC curve than SWE (0.93 vs. 0.87; 0.95 vs. 0.93). In addition, maximum stiffness exhibited higher detection sensitivity than that of mean stiffness (0.91 vs. 0.85).SWE serves as an accurate diagnostic technology for discriminating between malignant and benign breast lesions.
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