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Malmö Breast ImaginG database: objectives and development

Dahlblom, Victor LU orcid ; Dustler, Magnus LU ; Bolejko, Anetta LU ; Bakic, Predrag LU ; Granberg, Henrik ; Johnson, Kristin LU orcid ; Förnvik, Daniel LU ; Lång, Kristina LU ; Tingberg, Anders LU and Zackrisson, Sophia LU (2023) In Journal of Medical Imaging 10(6).
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... (More)
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. (Less)
Please use this url to cite or link to this publication:
author
; ; ; ; ; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Journal of Medical Imaging
volume
10
issue
6
article number
061402
publisher
SPIE
external identifiers
  • pmid:36779038
  • scopus:85160931833
ISSN
2329-4302
DOI
10.1117/1.JMI.10.6.061402
language
English
LU publication?
yes
id
7e5ccf6c-1406-4562-a348-5260eb8ac75b
date added to LUP
2023-02-24 14:06:45
date last changed
2024-03-07 23:36:28
@article{7e5ccf6c-1406-4562-a348-5260eb8ac75b,
  abstract     = {{Purpose<br/>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:<br/>    1. investigate the effect of breast cancer screening on breast cancer prognosis and mortality;<br/>    2. develop and validate the use of artificial intelligence and machine learning in breast image interpretation; and<br/>    3. develop and validate image-based radiological breast cancer risk profiles.<br/><br/>Approach<br/>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.<br/>Results<br/>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.<br/>Conclusions<br/>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.}},
  author       = {{Dahlblom, Victor and Dustler, Magnus and Bolejko, Anetta and Bakic, Predrag and Granberg, Henrik and Johnson, Kristin and Förnvik, Daniel and Lång, Kristina and Tingberg, Anders and Zackrisson, Sophia}},
  issn         = {{2329-4302}},
  language     = {{eng}},
  month        = {{02}},
  number       = {{6}},
  publisher    = {{SPIE}},
  series       = {{Journal of Medical Imaging}},
  title        = {{Malmö Breast ImaginG database: objectives and development}},
  url          = {{http://dx.doi.org/10.1117/1.JMI.10.6.061402}},
  doi          = {{10.1117/1.JMI.10.6.061402}},
  volume       = {{10}},
  year         = {{2023}},
}