Comparative analysis between synthetic mammography reconstructed from digital breast tomosynthesis and full-field digital mammography for breast cancer detection and visibility

Ryusuke Murakami; Nachiko Uchiyama; Hitomi Tani; Tamiko Yoshida; Shinichiro Kumita

doi:10.1016/j.ejro.2019.12.001

Comparative analysis between synthetic mammography reconstructed from digital breast tomosynthesis and full-field digital mammography for breast cancer detection and visibility

Eur J Radiol Open. 2020 Jan 28:7:100207. doi: 10.1016/j.ejro.2019.12.001. eCollection 2020.

Authors

Ryusuke Murakami¹, Nachiko Uchiyama², Hitomi Tani¹, Tamiko Yoshida¹, Shinichiro Kumita¹

Affiliations

¹ Department of Radiology, Nippon Medical School Hospital, 1-1-5, Sendagi, Bunkyo-ku, Tokyo, 1138602, Japan.
² Department of Radiology, National Cancer Center, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 1040045, Japan.

Abstract

Purpose: To compare observer performance between synthetic mammography (2DSM) and full-field digital mammography (FFDM) for breast cancer detection and visibility.

Method: A retrospective analysis was conducted on 136 histopathologically proven cases of breast cancer in patients who underwent FFDM and digital breast tomosynthesis (DBT). 2DSM images were reconstructed from DBT data, and 2DSM and FFDM images were reviewed and evaluated for mammographic features, probability of malignancy (BI-RADS classification), and lesion conspicuity. DBT images were not reviewed. Statistical differences in cancer detection rates between 2DSM and FFDM images were analyzed using the McNemar test, agreement on BI-RADS assessment between 2DSM and FFDM was assessed using Cohen's kappa test, and the Wilcoxon's signed rank test was used to compare visibility scores.

Results: Mean cancer detection rates with 2DSM and FFDM images were 84.6 % and 87.8 %, respectively. In subgroup analyses, differences in breast density, tumor size, and presence of calcifications were not statistically significant. Agreement between 2DSM and FFDM images for BI-RADS classification was graded as good with Cohen's k-coefficient of 0.78 ± 0.05. Visibility scores in both modalities of images were similar for all lesions combined; however, 2DSM had significantly better visibility scores for calcified cancers (p < 0.01), and in dense breast tissue (p < 0.01).

Conclusions: Diagnostic performances of 2DSM and FFDM images were comparable for detecting breast cancers, and it is possible that 2DSM may eliminate the need for additional FFDM during DBT-based imaging due to advances in image reconstruction methods.

Keywords: BI-RADS category; Breast cancer; Digital breast tomosynthesis; Digital mammography; Synthetic mammography.