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Digital Breast Tomosynthesis Complements Two-Dimensional Synthetic Mammography for Secondary Examination of Breast Cancer Cover

Digital Breast Tomosynthesis Complements Two-Dimensional Synthetic Mammography for Secondary Examination of Breast Cancer

Open Access
|Nov 2021

Abstract

Objective: To compare the performance of two-dimensional synthetic mammography (SM) combined with digital breast tomosynthesis (DBT) (SM/DBT) and full-field digital mammography (FFDM) including women with DBT (FFDM/DBT) undergoing secondary examination for breast cancer.

Material and Methods: Out of 186 breasts, including 52 with breast cancers; FFDM/DBT and SM/DBT findings were interpreted by four expert clinicians. Radiation doses of FFDM, SM/DBT, and FFDM/DBT were determined. Inter-rater reliabilities were analyzed between readers and between FFDM/DBT and SM/DBT by Cohen’s Kappa coefficients. Diagnostic accuracy was compared between SM/DBT and FFDM/DBT by Fisher’s exact tests. Two representative cancer cases were examined for differences in the interpretation between FFDM and SM.

Results: A higher radiation dose was required in FFDM/DBT than in SM/DBT (median: 1.50 mGy vs. 2.95 mGy). Inter-rater reliabilities were similar between both readers and modalities. Both sensitivity and specificity were equivalent in FFDM/DBT and SM/DBT (p= 0.874–1.00). Compared with FFDM, SM did not clearly show abnormalities with subtle margins in the two representative cancer cases.

Conclusion: SM/DBT had a similar performance to FFDM/DBT in detecting breast abnormalities but requires less radiation. DBT complements SM to improve accuracy to a level equivalent to that of FFDM. Taken together, SM/DBT may be a good substitute for FFDM/DBT for the secondary examination of breast cancer.

DOI: https://doi.org/10.5334/jbsr.2457 | Journal eISSN: 2514-8281
Language: English
Submitted on: Feb 26, 2021
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Accepted on: Aug 29, 2021
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Published on: Nov 5, 2021
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2021 Eiji Nakajima, Hiroko Tsunoda, Mariko Ookura, Kanako Ban, Yuko Kawaguchi, Mami Inagaki, Norihiko Ikeda, Kinya Furukawa, Takashi Ishikawa, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.