[HTML][HTML] Accuracy of digital breast tomosynthesis for detecting breast cancer in the diagnostic setting: a systematic review and meta-analysis

MJ Ko, DA Park, SH Kim, ES Ko, KH Shin… - Korean journal of …, 2021 - ncbi.nlm.nih.gov
MJ Ko, DA Park, SH Kim, ES Ko, KH Shin, W Lim, BS Kwak, JM Chang
Korean journal of radiology, 2021ncbi.nlm.nih.gov
Objective To compare the accuracy for detecting breast cancer in the diagnostic setting
between the use of digital breast tomosynthesis (DBT), defined as DBT alone or combined
DBT and digital mammography (DM), and the use of DM alone through a systematic review
and meta-analysis. Materials and Methods Ovid-MEDLINE, Ovid-Embase, Cochrane Library
and five Korean local databases were searched for articles published until March 25, 2020.
We selected studies that reported diagnostic accuracy in women who were recalled after …
Abstract
Objective
To compare the accuracy for detecting breast cancer in the diagnostic setting between the use of digital breast tomosynthesis (DBT), defined as DBT alone or combined DBT and digital mammography (DM), and the use of DM alone through a systematic review and meta-analysis.
Materials and Methods
Ovid-MEDLINE, Ovid-Embase, Cochrane Library and five Korean local databases were searched for articles published until March 25, 2020. We selected studies that reported diagnostic accuracy in women who were recalled after screening or symptomatic. Study quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 tool. A bivariate random effects model was used to estimate pooled sensitivity and specificity. We compared the diagnostic accuracy between DBT and DM alone using meta-regression and subgroup analyses by modality of intervention, country, existence of calcifications, breast density, Breast Imaging Reporting and Data System category threshold, study design, protocol for participant sampling, sample size, reason for diagnostic examination, and number of readers who interpreted the studies.
Results
Twenty studies (n= 44513) that compared DBT and DM alone were included. The pooled sensitivity and specificity were 0.90 (95% confidence interval [CI] 0.86–0.93) and 0.90 (95% CI 0.84–0.94), respectively, for DBT, which were higher than 0.76 (95% CI 0.68–0.83) and 0.83 (95% CI 0.73–0.89), respectively, for DM alone (p< 0.001). The area under the summary receiver operating characteristics curve was 0.95 (95% CI 0.93–0.97) for DBT and 0.86 (95% CI 0.82–0.88) for DM alone. The higher sensitivity and specificity of DBT than DM alone were consistently noted in most subgroup and meta-regression analyses.
Conclusion
Use of DBT was more accurate than DM alone for the diagnosis of breast cancer. Women with clinical symptoms or abnormal screening findings could be more effectively evaluated for breast cancer using DBT, which has a superior diagnostic performance compared to DM alone.
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