| Cong Wang,Guang Yang,Hui Wang. Diagnostic accuracy of real-time tissue elastography for breast cancer: a meta-analysis. Oncol Transl Med, 2016, 2: 21-25. |
| Diagnostic accuracy of real-time tissue elastography for breast cancer: a meta-analysis |
| Received:January 26, 2015 Revised:January 29, 2016 |
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| KeyWord:real-time tissue elastography (RTE); breast cancer; diagnostic accuracy; meta-analysis |
| Author Name | Affiliation | E-mail | | Cong Wang | Ultrasound Department of the First Affiliated Hospital to Dalian Medical University, Dalian 116011, China | 365213427@qq.com | | Guang Yang | Ultrasound Department of the First Affiliated Hospital to Dalian Medical University, Dalian 116011, China | liuhutaicun@163.com | | Hui Wang | Ultrasound Department of the First Affiliated Hospital to Dalian Medical University, Dalian 116011, China | wc027214@163.com |
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| Abstract: |
| Objective: The present study aimed to determine the accuracy of real-time tissue elastography (RTE) for the diagnosis of breast cancer.
Methods: The search was conducted in the PubMed, Web of Science, Cochrane Library, and China Biology Medicine databases from inception through December 31, 2014, without language restrictions. The meta-analysis was conducted using STATA version 12.0 and Meta-Disc version 1.4. We calculated the summary statistics for sensitivity (Sen), specificity (Spe), positive and negative likelihood ratio (LR /LR–), diagnostic odds ratio (DOR), and summary receiver operating characteristic (SROC) curve.
Results: Ten studies that met all inclusion criteria were included in the meta-analysis. A total of 608 malignant breast lesions and 1292 benign breast tumors were assessed. All breast lesions were histologically confirmed after RTE. The pooled Sen was 0.83 (95% CI = 0.79–0.86); the pooled Spe was 0.86 (95% CI = 0.84–0.88). The pooled LR was 9.87 (95% CI = 2.66–36.71); the pooled LR– was 0.20 (95% CI = 0.17–0.23). The pooled DOR of RTE for the diagnosis of breast cancer was 62.21 (95% CI = 33.88–114.24). The area under the SROC curve was 0.9334 (standard error = 0.00125). We found no evidence of publication bias (t = –0.57, P = 0.582).
Conclusion: RTE may have high diagnostic accuracy for the differential diagnosis of benign and malignant breast tumors. RTE may be a good tool for breast cancer diagnosis. |
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