Vega Curates Largest DBT Dataset with Histology Outcomes

Ontario, Calif., January 16^th, 2026 — Vega Imaging Informatics (Vega), a global leader in medical imaging informatics and imaging data services, today announced the successful curation of the world’s largest Digital Breast Tomosynthesis (DBT) dataset with paired histology outcomes. The dataset was prepared for a leading developer of AI-based radiology software focused on breast imaging and will support the development of next-generation AI solutions designed to assist in the interpretation of 3D mammography exams. The dataset includes over one million DBT studies across three DBT manufacturers, which are paired with biopsy outcome data for over 22,000 patients, including over 7,000 cancer cases.  All data was de-identified according to 45 C.F.R. § 164.514(b) of the HIPAA Privacy Rule. 

Strengthening AI Performance Through Scale and Diversity

DBT, or 3D mammography, has become an increasingly important technique in breast cancer screening, because it reduces overlapping breast tissue and improves lesion visibility as opposed to traditional 2D mammography techniques. At the same time, DBT exams generate hundreds of image slices per study, increasing interpretation time and cognitive load for radiologists.

By leveraging Vega’s large-scale imaging resources for this project, the AI developer was able to attain superior diversity in its data, which is a key factor in the development of models that are effective across a wide range of breast densities, anatomical variations, and real-world clinical conditions.

Meeting the Demands of Large, Multi-Modal Imaging Datasets

“High-quality, clinically representative imaging data is essential for building AI tools that perform reliably in real-world care settings,” said Luke Bideaux, President and CEO of Vega Imaging Informatics. “This multi-modal dataset demonstrates Vega’s ability to deliver imaging data at scale while meeting the stringent quality, privacy, and compliance standards required for medical AI development. With a single DBT study reaching file sizes over 50 times larger than many other types of imaging studies, such as most chest x-rays, the sheer file size of this dataset demonstrates the scale Vega can achieve in its curation initiatives.” 

Enabling the Next Generation of Breast Imaging Workflows

AI-enabled DBT interpretation tools are increasingly being adopted to support radiologists through improved workflow efficiency, reducing reading time, and enhancing diagnostic confidence. Increased adoption results in higher demand and competition for AI solutions that can deliver value to breast imaging providers. As the demand for large, high-quality imaging datasets continues to rise, Vega has proven that it is well positioned to meet the needs of the AI development community.

About Vega Imaging Informatics

Founded in 2018, Vega Imaging Informatics’ mission is to create value for its clients through the delivery of quality imaging informatics services and solutions. Through three core divisions, including Vega Data, Vega Pro, and Vega Tech, we offer real-world imaging data, data curation and commercialization services, managed imaging informatics services and best-of-breed AI technology solutions. Our services and solutions help organizations meet AI development and/or research goals, increase workflow efficiencies, and achieve significant returns on their data and technology investments. Our team of Certified Imaging Informatics Professionals (CIIPs) have the knowledge and experience to ensure that all clients receive the best level of service possible in the industry, and our track record of success spans across all regions of the United States and over 18 countries internationally.

For more information visit vegainformatics.com