Malmö Breast ImaginG database: objectives and development

Area of Science:

• Medical Imaging
• Radiology
• Oncology

Background:

• Breast cancer screening programs are crucial for early detection and improved patient outcomes.
• Advancements in digital mammography (DM) and digital breast tomosynthesis (DBT) have enhanced imaging capabilities.
• Integrating diverse data sources is key to advancing breast cancer research.

Purpose of the Study:

• To establish the Malmö Breast Imaging (M-BIG) database for breast cancer research.
• To support investigations into breast cancer screening's impact on prognosis and mortality.
• To facilitate the development and validation of AI/machine learning in breast image interpretation.
• To enable the creation and validation of image-based radiological breast cancer risk profiles.

Main Methods:

• The M-BIG database aggregates digital mammography (DM) and digital breast tomosynthesis (DBT) examinations.
• Data spans from 2004 to 2020 from the Mammography Clinic in Malmö, Sweden.
• Image data is linked to comprehensive clinical, diagnostic, and demographic registries.

Main Results:

• The database currently holds 451,054 examinations from 104,791 women.
• 95,258 unique women were screened during the inclusion period.
• 19,968 examinations utilized DBT, with the remainder using DM.

Conclusions:

• The M-BIG database is a well-designed, accessible resource linking medical images with extensive clinical data.
• Ongoing efforts focus on enhancing database features and data curation.
• M-BIG is poised to significantly contribute to breast cancer research and screening advancements.