Abstract

Purpose
We describe the design and implementation of the Malmö Breast ImaginG (M-BIG) database, which will support research projects investigating various aspects of current and future breast cancer screening programs. Specifically, M-BIG will provide clinical data to:
1. investigate the effect of breast cancer screening on breast cancer prognosis and mortality;
2. develop and validate the use of artificial intelligence and machine learning in breast image interpretation; and
3. develop and validate image-based radiological breast cancer risk profiles.

Approach
The M-BIG database is intended to include a wide range of digital mammography (DM) and digital breast tomosynthesis (DBT) examinations performed on women at the Mammography Clinic in Malmö, Sweden, from the introduction of DM in 2004 through 2020. Subjects may be included multiple times and for diverse reasons. The image data are linked to extensive clinical, diagnostic, and demographic data from several registries.
Results
To date, the database contains a total of 451,054 examinations from 104,791 women. During the inclusion period, 95,258 unique women were screened. A total of 19,968 examinations were performed using DBT, whereas the rest used DM.
Conclusions
We describe the design and implementation of the M-BIG database as a representative and accessible medical image database linked to various types of medical data. Work is ongoing to add features and curate the existing data.
Original languageEnglish
Article number061402
JournalJournal of Medical Imaging
Volume10
Issue number6
DOIs
Publication statusPublished - 2023 Feb 8

Subject classification (UKÄ)

  • Radiology, Nuclear Medicine and Medical Imaging
  • Cancer and Oncology

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