Journal
RADIOLOGY
Volume 293, Issue 2, Pages 273-281Publisher
RADIOLOGICAL SOC NORTH AMERICA
DOI: 10.1148/radiol.2019190132
Keywords
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Funding
- Swedish Governmental Funding for Clinical Research
- Swedish Medical Society
- Gunnar Nilsson Cancer Foundation
- Swedish Research Council
- Swedish Cancer Society
- Skane University Hospital Foundation
- Crafoord Foundation
- Breast Cancer Foundation, Sweden
- South Swedish Health Care Region
- Malmo Hospital Cancer Foundation
- Cancer Foundation at the Department of Oncology
- Skane University Hospital
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Background: Screening accuracy can be improved with digital breast tomosynthesis (DBT). To further evaluate DBT in screening, it is important to assess the molecular subtypes of the detected cancers. Purpose: To describe tumor characteristics, including molecular subtypes, of cancers detected at DBT compared with those detected at digital mammography (DM) in breast cancer screening. Materials and Methods: The Malmo Breast Tomosynthesis Screening Trial is a prospective, population-based screening trial comparing one-view DBT with two-view DM. Tumor characteristics were obtained, and invasive cancers were classified according to St Gallen as follows: luminal A-like, luminal B-like human epidermal growth factor receptor (HER)2-negative/HER2-positive, HER2-positive, and triple-negative cancers. Tumor characteristics were compared by mode of detection: DBT alone or DM (ie, DBT and DM or DM alone). chi(2) test was used for data analysis. Results: Between January 2010 and February 2015, 14 848 women were enrolled (mean age, 57 years +/- 10; age range, 40-76 years). In total, 139 cancers were detected; 118 cancers were invasive and 21 were ductal carcinomas in situ. Thirty-seven additional invasive cancers (36 cancers with complete subtypes and stage) were detected at DBT alone, and 81 cancers (80 cancers with complete stage) were detected at DM. No differences were seen between DBT and DM in the distribution of tumor size 20 mm or smaller (86% [31 of 36] vs 85% [68 of 80], respectively; P = .88), node-negative status (75% [27 of 36] vs 74% [59 of 80], respectively; P = .89), or luminal A-like subtype (53% [19 of 36] vs 46% [37 of 81], respectively; P = .48). Conclusion: The biologic profile of the additional cancers detected at digital breast tomosynthesis in a large prospective population-based screening trial was similar to those detected at digital mammography, and the majority were early-stage luminal A-like cancers. This indicates that digital breast tomosynthesis screening does not alter the predictive and prognostic profile of screening-detected cancers. (C) RSNA, 2019
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