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.
10.3348/kjr.2014.15.3.305
- Author:
Hye Shin AHN
1
;
Sun Mi KIM
;
Mijung JANG
;
Bo La YUN
;
Bohyoung KIM
;
Eun Sook KO
;
Boo Kyung HAN
;
Jung Min CHANG
;
Ann YI
;
Nariya CHO
;
Woo Kyung MOON
;
Hye Young CHOI
Author Information
1. Department of Radiology, Seoul National University Bundang Hospital, Seongnam 463-707, Korea. kimsmlms@daum.net
- Publication Type:Original Article ; Comparative Study ; Evaluation Studies ; Research Support, Non-U.S. Gov't
- Keywords:
Breast;
Digital mammography;
FFDM;
Post-processing algorithm;
Image quality;
Comparison
- MeSH:
Adult;
Aged;
*Algorithms;
Breast Neoplasms/radiography;
Calcinosis/radiography;
Female;
Humans;
Mammography/*methods;
Middle Aged;
Prospective Studies;
Radiographic Image Enhancement/*methods;
Sensitivity and Specificity;
Software
- From:Korean Journal of Radiology
2014;15(3):305-312
- CountryRepublic of Korea
- Language:English
-
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.
