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Effect of Different Types of Mammography Equipment on Screening Outcomes: A Report by the Alliance for Breast Cancer Screening in Korea

  • Choi, Bo Hwa (Department of Radiology, Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital) ;
  • Lee, Eun Hye (Department of Radiology, Soonchunhyang University Bucheon Hospital, Soonchunhyang University College of Medicine) ;
  • Jun, Jae Kwan (National Cancer Control Institute, National Cancer Center) ;
  • Kim, Keum Won (Department of Radiology, Konyang University Hospital, Konyang University College of Medicine) ;
  • Park, Young Mi (Department of Radiology, Busan Paik Hospital, Inje University College of Medicine) ;
  • Kim, Hye-Won (Department of Radiology, Wonkwang University Hospital, Wonkwang University School of Medicine) ;
  • Kim, You Me (Department of Radiology, Dankook University Hospital, Dankook University College of Medicine) ;
  • Shin, Dong Rock (Department of Radiology, Gangneung Asan Hospital, University of Ulsan College of Medicine) ;
  • Lim, Hyo Soon (Department of Radiology, Chonnam National University Hwasun Hospital, Chonnam National University College of Medicine) ;
  • Park, Jeong Seon (Department of Radiology, Hanyang University Hospital, Hanyang University College of Medicine) ;
  • Kim, Hye Jung (Department of Radiology, Kyungpook National University Medical Center, Kyungpook National University College of Medicine)
  • 투고 : 2019.01.04
  • 심사 : 2019.07.29
  • 발행 : 2019.12.01

초록

Objective: To investigate the effects of different types of mammography equipment on screening outcomes by comparing the performance of film-screen mammography (FSM), computed radiography mammography (CRM), and digital mammography (DM). Materials and Methods: We retrospectively enrolled 128756 sets of mammograms from 10 hospitals participating in the Alliance for Breast Cancer Screening in Korea between 2005 and 2010. We compared the diagnostic accuracy of the types of mammography equipment by analyzing the area under the receiver operating characteristic curve (AUC) with a 95% confidence interval (CI); performance indicators, including recall rate, cancer detection rate (CDR), positive predictive value1 (PPV1), sensitivity, specificity, and interval cancer rate (ICR); and the types of breast cancer pathology. Results: The AUCs were 0.898 (95% CI, 0.878-0.919) in DM, 0.860 (0.815-0.905) in FSM, and 0.866 (0.828-0.903) in CRM (p = 0.150). DM showed better performance than FSM and CRM in terms of the recall rate (14.8 vs. 24.8 and 19.8%), CDR (3.4 vs. 2.2 and 2.1 per 1000 examinations), PPV1 (2.3 vs. 0.9 and 1.1%), and specificity (85.5 vs. 75.3 and 80.3%) (p < 0.001) but not in terms of sensitivity (86.3 vs. 87.4 and 86.3%) and ICR (0.6 vs. 0.4 and 0.4). The proportions of carcinoma in situ (CIS) were 27.5%, 13.6%, and 11.8% for DM, CRM, and FSM, respectively (p = 0.003). Conclusion: In comparison to FSM and CRM, DM showed better performance in terms of the recall rate, CDR, PPV1, and specificity, although the AUCs were similar, and more CISs were detected using DM. The application of DM may help to improve the quality of mammography screenings. However, the overdiagnosis issue of CIS using DM should be evaluated.

키워드

과제정보

This study was supported by a grant from the National R&D Program for Cancer Control, Ministry of Health & Welfare, Republic of Korea (1520200).

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피인용 문헌

  1. Advanced and futuristic approaches for breast cancer diagnosis vol.6, pp.1, 2019, https://doi.org/10.1186/s43094-020-00113-2
  2. Digital Mammography as a Screening Tool in Korea vol.82, pp.1, 2021, https://doi.org/10.3348/jksr.2021.0004