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Comparison of contrast-enhanced spectral mammography and MRI in diagnosis of breast cancer: Meta-analysis / 中国医学影像技术
Article in Zh | WPRIM | ID: wpr-861304
Responsible library: WPRO
ABSTRACT
Objective: To observe the diagnostic efficacy of contrast-enhanced spectral mammography (CESM) and MRI for breast cancers using meta-analysis. Methods: Literature of CESM and MRI in diagnosis of breast lesions were extracted in the databases, including CNKI, CBM, Cochrane Library, Web of Science and other domestic and foreign databases in recent 10 years. The software Review Manager 5.3 was used to evaluate the publication quality assessment according the quality assessment of diagnostic accuracy studies-2 (QUADAS-2). After testing the heterogeneity of enrolled literatures using Meta Disc 1.4, the sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR) and diagnostic odds ratio (DOR) for diagnosis of breast cancers of these two methods were summarized, and the diagnostic experiment Deek's funnel chart was drawn to evaluate the publication bias and authenticity. Results: A total of 661 papers were searched, and 12 were enrolled. The summarized results showed the sensitivity of CESM and MRI were both 0.97, the specificity was 0.69 and 0.51, the DOR was 105.44 and 33.73, PLR was 2.94 and 1.95, NLR was 0.05 and 0.07, and the AUC (95%CI) was 0.964 5 (0.955 8, 0.981 5) and 0.919 8 (0.892 7, 0.946 8), respectively. AUC of CESM was larger than that of MRI. Deek's funnel plot showed that the publication bias was not significant (P>0.05). Conclusion: CEMS is a valuable diagnostic method for breast cancers which has certain advantages in some aspects compared with MRI.
Key words
Full text: 1 Index: WPRIM Type of study: Diagnostic_studies / Systematic_reviews Language: Zh Journal: Chinese Journal of Medical Imaging Technology Year: 2019 Type: Article
Full text: 1 Index: WPRIM Type of study: Diagnostic_studies / Systematic_reviews Language: Zh Journal: Chinese Journal of Medical Imaging Technology Year: 2019 Type: Article