Work

Performance of Digital Breast Tomosynthesis Versus Digital Mammography in Women With a Family History of Breast Cancer: A Systematic Review

Year: 2024

Type: review

Abstract: BACKGROUND: There is limited evidence on the performance of digital breast tomosynthesis (DBT) in populations at increased risk of breast cancer. Our objective was to systematically review evidence on the performance of DBT versus digital mammography (DM) in women with a family history of breast cancer (FHBC). METHODS: We searched 5 databases (2011-January 2024) for studies comparing DBT and DM in women with a FHBC that reported any measure of cancer detection, recall, sensitivity and specificity. Findings were presented using a descriptive and narrative approach. Risk of bias was assessed using QUADAS-2/C. RESULTS: Five (4 screening, 1 diagnostic) studies were included (total 3089 DBT, 3024 DM) with most (4/5) being prospective including 1 RCT. All studies were assessed as being at high risk of bias or applicability concern. Four screening studies reported recall rate (range: DBT: 2.7%-4.5%, DM: 2.8%-11.5%) with 3 reporting DBT had lower rates than DM. Cancer detection rates (CDR) were reported in the same studies (DBT: 5.1-11.6 per 1000, DM: 3.8-8.3); 3 reported higher CDR for DBT (vs. DM), and 1 reported same CDR for both. Compared with DM, higher values for sensitivity, specificity and PPV for DBT were reported in 2 studies. CONCLUSION: This review provides early evidence that DBT may outperform DM for screening women with a FHBC. Our findings support further evaluation of DBT in this population. However, summarized findings were based on few studies and participants, and high-quality studies with improved methodology are needed to address biases identified in our review.

Source: Clinical Breast Cancer

DOI: 10.1016/j.clbc.2024.09.013

Authors: Tong Li, Jennifer Isautier, Janie M. Lee, M. Luke Marinovich, Nehmat Houssami

Institutions: The University of Sydney, Cancer Council NSW, University of Washington, Fred Hutch Cancer Center

Language: English

Topic: Digital Radiography and Breast Imaging

Subfield: Pulmonary and Respiratory Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: hybrid

Estimated APC paid: $3,290