Abstract

This study investigates the impact in terms of radiation dose when performing simultaneous digital breast tomosynthesis
(DBT) and mechanical imaging (MI) – DBTMI. DBTMI has demonstrated the potential to increase specificity of cancer
detection, and reduce unnecessary biopsies, as compared to digital mammography (DM) screening. The presence of the
MI sensor during simultaneous image acquisition may increase the radiation dose when automatic exposure control is used.
In this project, a radiation dose study was conducted on clinically available breast imaging systems with and without the
MI sensor. We have investigated three approaches to analyse the dose increase in DBTMI, using (i) the estimates of average
glandular dose (AGD) reported in DICOM headers of radiography images; (ii) AGD measured by a conventional
dosemeter; and (iii) AGD measured by optically stimulated luminescence using NaCl pellets. The relative increase in AGD
estimated from DICOM headers when using the MI sensor was on average 10.7% and 12.4%, for DM and DBT
measurements, respectively. The relative increase in AGD using the conventional dosemeter was 11.2% in DM mode and
12.2% in DBT mode. The relative increase in AGD using NaCl pellets was 14.6% in DM mode. Our measurements suggest
that the use of simultaneous breast radiography and MI increases the AGD by 13% on average. The increase in dose is still
below the acceptable values in mammography screening recommended by the European Guidelines.
Original languageEnglish
Title of host publicationMedical Imaging 2023
Subtitle of host publicationPhysics of Medical Imaging
EditorsLifeng Yu, Rebecca Fahrig, John M. Sabol
PublisherSPIE
Volume12463
DOIs
Publication statusPublished - 2023 Apr 28
EventSPIE Medical Imaging 2023 -
Duration: 2023 Feb 192023 Feb 23

Conference

ConferenceSPIE Medical Imaging 2023
Period2023/02/192023/02/23

Bibliographical note

This work was supported by grants from the European Commission H2020 Marie Skłodowska Curie Actions Fellowship
(IF 846540), Cancerfonden, the Swedish Breast Cancer Association, Region Skåne (Regionalt forskningsstöd), and
Stiftelsen för Cancerforskning vid Onkologiska kliniken vid Universitetssjukhuset MAS.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Subject classification (UKÄ)

  • Radiology and Medical Imaging

Free keywords

  • Digital breast tomosynthesis
  • Mechanical imaging
  • DBTMI
  • radiation dose measurement
  • OSL
  • NaCl pellets

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