Abstract

Purpose: Use of mechanical imaging (MI) as complementary to digital mammography (DM), or in simultaneous digital breast tomosynthesis (DBT) and MI - DBTMI, has demonstrated the potential to increase the specificity of breast cancer screening and reduce unnecessary biopsies compared with DM. The aim of this study is to investigate the increase in the radiation dose due to the presence of an MI sensor during simultaneous image acquisition when automatic exposure control is used.

Approach: A radiation dose study was conducted on clinically available breast imaging systems with and without an MI sensor present. Our estimations were based on three approaches. In the first approach, exposure values were compared in paired clinical DBT and DBTMI acquisitions in 97 women. In the second approach polymethyl methacrylate (PMMA) phantoms of various thicknesses were used, and the average glandular dose (AGD) values were compared. Finally, a rectangular PMMA phantom with a 45 mm thickness was used, and the AGD values were estimated based on air kerma measurements with an electronic dosemeter.

Results: The relative increase in exposure estimated from digital imaging and communications in medicine headers when using an MI sensor in clinical DBTMI was 11.9%±10.4. For the phantom measurements of various thicknesses of PMMA, the relative increases in the AGD for DM and DBT measurements were, on average, 10.7%±3.1 and 11.4%±3.0 , respectively. The relative increase in the AGD using the electronic dosemeter was 11.2%±<0.001 in DM and 12.2%±<0.001 in DBT. The average difference in dose between the methods was 11.5%±3.3.

Conclusions: Our measurements suggest that the use of simultaneous breast radiography and MI increases the AGD by an average of 11.5%±3.3. The increase in dose is within the acceptable values for mammography screening recommended by European guidelines.
Original languageEnglish
Article numberS13003
JournalJournal of Medical Imaging
Volume12
Issue numberS1
DOIs
Publication statusPublished - 2024 Jul 24

Subject classification (UKÄ)

  • Radiology and Medical Imaging

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