Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Meta-Analysis
. 2017;13(5):862-868.
doi: 10.4103/jcrt.JCRT_678_17.

Meta-analysis of diagnostic accuracy of magnetic resonance imaging and mammography for breast cancer

Yueqiao Zhang  1 , Hong Ren  1
Affiliations
Free article
Meta-Analysis

Meta-analysis of diagnostic accuracy of magnetic resonance imaging and mammography for breast cancer

Yueqiao Zhang et al. J Cancer Res Ther. 2017.
Free article

Abstract

Objective: The aim of this study was to compare the performance of mammography (MG) and magnetic resonance imaging (MRI) in the diagnosis of breast cancer.

Methods: Searching in the databases including PubMed, Embase, and Google Scholar about comparative study of MG and MRI in the diagnosis of breast cancer during 2000-2017. After we screened further, the extracted effective data were calculated by Meta-Disc 1.4 software.

Results: we obtained 11 articles. The pooled estimates for sensitivity of MG and MRI were 0.75 (95% confidence interval [CI], [0.72, 0.78]) and 0.92 (95% CI, [0.89, 0.94]) respectively, and for specificity were 0.71 (95% CI, [0.67, 0.74]) and 0.70 (95% CI, [0.66, 0.73]), respectively. Their weighted area under the summary receiver operating characteristic curve was 0.79 and 0.93, respectively.

Conclusion: MRI remains to be a satisfactory method for the diagnosis of breast cancer and should first be considered for patients.

PubMed Disclaimer

MeSH terms

LinkOut - more resources