Physics of Medical Imaging

Mean glandular dose in digital mammography: a dose calculation method comparison

[+] Author Affiliations
Moayyad E. Suleiman, Patrick C. Brennan, Mark F. McEntee

The University of Sydney, Faculty of Health Sciences, M205, Cumberland Campus, 75 East Street, Lidcombe, New South Wales 2141, Australia

J. Med. Imag. 4(1), 013502 (Jan 24, 2017). doi:10.1117/1.JMI.4.1.013502
History: Received July 17, 2016; Accepted December 27, 2016
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Abstract.  Our objective was to analyze the agreement between organ dose estimated by different digital mammography units and calculated dose for clinical data. Digital Imaging and Communication in Medicine header information was extracted from 52,405 anonymized mammograms. Data were filtered to include images with no breast implants, breast thicknesses 20 to 110 mm, and complete exposure and quality assurance data. Mean glandular dose was calculated using methods by Dance et al., Wu et al., and Boone et al. Bland–Altman analysis and regression were used to study the agreement and correlation between organ and calculated doses. Bland–Altman showed statistically significant bias between organ and calculated doses. The bias differed for different unit makes and models; Philips had the lowest bias, overestimating Dance method by 0.03 mGy, while general electric had the highest bias, overestimating Wu method by 0.20 mGy, the Hologic organ dose underestimated Boone method by 0.07 mGy, and the Fujifilm organ dose underestimated Dance method by 0.09 mGy. Organ dose was found to disagree with our calculated dose, yet organ dose is potentially beneficial for rapid dose audits. Conclusions drawn based on the organ dose alone come with a risk of over or underestimating the calculated dose to the patient and this error should be considered in any reported results.

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© 2017 Society of Photo-Optical Instrumentation Engineers

Citation

Moayyad E. Suleiman ; Patrick C. Brennan and Mark F. McEntee
"Mean glandular dose in digital mammography: a dose calculation method comparison", J. Med. Imag. 4(1), 013502 (Jan 24, 2017). ; http://dx.doi.org/10.1117/1.JMI.4.1.013502


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