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Accuracy of Digital Breast Tomosynthesis for Detecting Breast Cancer in the Diagnostic Setting: A Systematic Review and Meta-Analysis

  • Min Jung Ko (Division for Healthcare Technology Assessment Research, National Evidence-Based Healthcare Collaborating Agency) ;
  • Dong A Park (Division for Healthcare Technology Assessment Research, National Evidence-Based Healthcare Collaborating Agency) ;
  • Sung Hyun Kim (Division for Healthcare Technology Assessment Research, National Evidence-Based Healthcare Collaborating Agency) ;
  • Eun Sook Ko (Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine) ;
  • Kyung Hwan Shin (Department of Radiation Oncology, Seoul National University College of Medicine) ;
  • Woosung Lim (Department of Surgery, College of Medicine, Ewha Womans University) ;
  • Beom Seok Kwak (Department of Surgery, Dongguk University Ilsan Hospital) ;
  • Jung Min Chang (Department of Radiology, Seoul National University Hospital)
  • 투고 : 2020.10.10
  • 심사 : 2021.01.17
  • 발행 : 2021.08.01

초록

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.

키워드

과제정보

This study was supported by National Evidence-based Healthcare Collaborating Agency (NECA) of Korea (NR-19-001-25).

참고문헌

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