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DBT-2026, a de-identified publicly available dataset of digital breast tomosynthesis exams with ground truth biopsies

Wu, J.; Perandini, L.; Batra, T.; Igoshin, S.; Bari, S.; de Araujo, A. L.; Willemink, M. J.

2026-03-04 radiology and imaging
10.64898/2026.03.03.25337924 medRxiv
Show abstract

Digital breast tomosynthesis (DBT) is a powerful imaging modality that allows for improved lesion visibility, characterization, and localization compared to conventional two-dimensional digital mammography. DBT has been increasingly adopted in screening and diagnostic settings globally, particularly for women with dense breast tissue where tissue overlap presents a significant diagnostic challenge. Here we describe DBT-2026, a real world imaging dataset with 558 DBT exams from 558 patients with breast imaging reporting and data system (BI-RADS) scores of 0, 1, or 2. Each case contains one DBT examination in combination with expert annotations and free-text radiology reports that describe the radiological findings, produced in routine clinical practice. To protect patient privacy, all images and reports have been de-identified. The dataset is made freely available to researchers for non-commercial projects to facilitate and encourage research in breast cancer imaging.

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