Korean Journal of Radiology

The Korean Society of Radiology (대한영상의학회)
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A New Full-Field Digital Mammography System with and without the Use of an Advanced Post-Processing Algorithm: Comparison of Image Quality and Diagnostic Performance

  • Ahn, Hye Shin (Department of Radiology, Seoul National University Bundang Hospital) ;
  • Kim, Sun Mi (Department of Radiology, Seoul National University Bundang Hospital) ;
  • Jang, Mijung (Department of Radiology, Seoul National University Bundang Hospital) ;
  • Yun, Bo La (Department of Radiology, Seoul National University Bundang Hospital) ;
  • Kim, Bohyoung (Department of Radiology, Seoul National University Bundang Hospital) ;
  • Ko, Eun Sook (Department of Radiology, Samsung Medical Center) ;
  • Han, Boo-Kyung (Department of Radiology, Samsung Medical Center) ;
  • Chang, Jung Min (Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine) ;
  • Yi, Ann (Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine) ;
  • Cho, Nariya (Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine) ;
  • Moon, Woo Kyung (Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine) ;
  • Choi, Hye Young (Department of Radiology, Gyeongsang National University Hospital)
  • Received : 2014.01.06
  • Accepted : 2014.02.21
  • Published : 2014.06.01
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Abstract

Objective: To compare new full-field digital mammography (FFDM) with and without use of an advanced post-processing algorithm to improve image quality, lesion detection, diagnostic performance, and priority rank. Materials and Methods: During a 22-month period, we prospectively enrolled 100 cases of specimen FFDM mammography ($Brestige^{(R)}$), which was performed alone or in combination with a post-processing algorithm developed by the manufacturer: group A (SMA), specimen mammography without application of "Mammogram enhancement ver. 2.0"; group B (SMB), specimen mammography with application of "Mammogram enhancement ver. 2.0". Two sets of specimen mammographies were randomly reviewed by five experienced radiologists. Image quality, lesion detection, diagnostic performance, and priority rank with regard to image preference were evaluated. Results: Three aspects of image quality (overall quality, contrast, and noise) of the SMB were significantly superior to those of SMA (p < 0.05). SMB was significantly superior to SMA for visualizing calcifications (p < 0.05). Diagnostic performance, as evaluated by cancer score, was similar between SMA and SMB. SMB was preferred to SMA by four of the five reviewers. Conclusion: The post-processing algorithm may improve image quality with better image preference in FFDM than without use of the software.

Keywords

Acknowledgement

Supported by : Ministry of Health & Welfare

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