Estimates of Average Glandular Dose with Auto-modes of X-ray Exposures in Digital Breast Tomosynthesis

Journal Title: Sultan Qaboos University Medical Journal - Year 2015, Vol 15, Issue 2

Abstract

Objectives: Te aim of this research was to examine the average glandular dose (AGD) of radiation among different breast compositions of glandular and adipose tissue with auto-modes of exposure factor selection in digital breast tomosynthesis. Methods: Tis experimental study was carried out in the National Cancer Society, Kuala Lumpur, Malaysia, between February 2012 and February 2013 using a tomosynthesis digital mammography X-ray machine. Te entrance surface air kerma and the half-value layer were determined using a 100H thermoluminescent dosimeter on 50% glandular and 50% adipose tissue (50/50) and 20% glandular and 80% adipose tissue (20/80) commercially available breast phantoms (Computerized Imaging Reference Systems, Inc., Norfolk, Virginia, USA) with auto-time, auto-flter and auto-kilovolt modes. Results: Te lowest AGD for the 20/80 phantom with auto-time was 2.28 milliGray (mGy) for two dimension (2D) and 2.48 mGy for three dimensional (3D) images. Te lowest AGD for the 50/50 phantom with auto-time was 0.97 mGy for 2D and 1.0 mGy for 3D. Conclusion: Te AGD values for both phantoms were lower against a high kilovolt peak and the use of auto-flter mode was more practical for quick acquisition while limiting the probability of operator error.

Authors and Affiliations

Izdihar Kamal| Diagnostic Imaging & Radiotherapy Programme, Faculty of Health Sciences, University Kebangsaan Malaysia, Kuala Lumpur, Malaysia, Kanaga K. Chelliah| Diagnostic Imaging & Radiotherapy Programme, Faculty of Health Sciences, University Kebangsaan Malaysia, Kuala Lumpur, Malaysia, Nawal Mustafa| KPJ Healthcare University College, Nilai, Malaysia

Keywords

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  • EP ID EP14571
  • DOI -
  • Views 307
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How To Cite

Izdihar Kamal, Kanaga K. Chelliah, Nawal Mustafa (2015). Estimates of Average Glandular Dose with Auto-modes of X-ray Exposures in Digital Breast Tomosynthesis. Sultan Qaboos University Medical Journal, 15(2), 292-296. https://www.europub.co.uk/articles/-A-14571