Trends in compressed breast thickness and radiation dose in breast screening mammography

Robinson, M. J.; Kotre, C John

doi:10.1259/bjr/90916004

Cited by 19 publications

(14 citation statements)

References 7 publications

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“…For example, Young et al [22] found an average compressed breast thickness of 56.8 mm and 54.1 mm for oblique and craniocaudal views, respectively, and Hendrick et al [23] recorded a mean compressed breast thickness of 54 mm. A more recent study by Robinson and Kotre [25] found an average compressed breast thickness of 60 mm which is comparable to this study. Robinson and Kotre [25] explained the increase in compressed breast thickness since the earlier surveys as due to an associated increase in the proportion of women in the breast screening age range classified as overweight and obese.…”

Section: Discussionsupporting

confidence: 90%

“…A more recent study by Robinson and Kotre [25] found an average compressed breast thickness of 60 mm which is comparable to this study. Robinson and Kotre [25] explained the increase in compressed breast thickness since the earlier surveys as due to an associated increase in the proportion of women in the breast screening age range classified as overweight and obese. Robinson and Kotre [25] did not completely eliminate changes in equipment design and differences between different models as a cause of an overall upward trend.…”

Section: Discussionsupporting

confidence: 90%

“…Robinson and Kotre [25] explained the increase in compressed breast thickness since the earlier surveys as due to an associated increase in the proportion of women in the breast screening age range classified as overweight and obese. Robinson and Kotre [25] did not completely eliminate changes in equipment design and differences between different models as a cause of an overall upward trend. Differences in equipment design were also evident from the results in this survey which showed a significant difference in the measurement of compressed breast thickness between different models.…”

Section: Discussionmentioning

confidence: 99%

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Clinical dose performance of full field digital mammography in a breast screening programme

McCullagh¹,

Baldelli²,

Phelan³

2011

BJR

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Objective: BreastCheck, the Irish Breast Screening Programme, has employed three different models of a full field digital mammography (FFDM) system since its transition to a digital service in 2007. The three models from GE Healthcare, Hologic and Sectra exhibit differences in their design and function, the most significant of which include anode target/filter choice, detector technology and the type of exposure automation. Methods: The aim of this study was to use the results from a clinical breast dose survey to examine the differences between three different FFDM models in terms of exposure selection, breast mean glandular dose (MGD) and automatic exposure control (AEC) dose contribution. Results: The accuracy of the dose estimation was improved by inclusion of the AEC pre-exposure dose contribution. The photon-counting system demonstrated the lowest average MGD. The GE Healthcare and Hologic flat-panel detector systems demonstrated a small but statistically significant dose difference. The pre-exposure dose contribution did not exceed 13% of the total exposure dose for any system in the survey. A comparison of the system calculated organ dose estimate from each machine with the corresponding MGD calculated from medical physics measurements indicated reasonably accurate organ dose estimates for most systems in the survey. Conclusion:The results of this study provide a comprehensive assessment of the breast dose performance of current digital mammography systems in a clinical screening setting. The nationwide expansion of the Irish breast screening programme in 2007 was accompanied by a transition to full field digital mammography (FFDM) technology. Digital mammography could be still considered as a developing technology and experience with digital mammography in breast screening was limited at the time of the change. The advantages associated with digital imaging with respect to workflow efficiency and productivity are well established while the evidence base for clinical benefit associated with improved breast imaging performance through the adoption of digital imaging for mammography continues to grow [1,2]. There are other emerging advantages of digital imaging in breast screening, including the potential for radiation dose reduction [3][4][5]. Currently available digital mammography systems differ from each other in many ways which can affect the patient dose and can provide system dose advantages. The most significant technical factors in digital mammography systems which impact breast dose include the anode target/filter choice, detector technology and the type of exposure automation. There are also other factors which can affect the dose, including applied breast compression and grid type [6]. A standard feature available on all digital mammography systems is the calculation and display of organ dose estimation. This feature could be a significant factor for the user in the regulation of the patient breast dose.The Irish National Breast Screening Programme, BreastCheck, invites women in the age range 5...

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Section: Discussionsupporting

confidence: 90%

Section: Discussionsupporting

confidence: 90%

Section: Discussionmentioning

confidence: 99%

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Clinical dose performance of full field digital mammography in a breast screening programme

McCullagh¹,

Baldelli²,

Phelan³

2011

BJR

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“…A similar positive correlation between MGD and CBT was noted on a much smaller sample of Bosnian patients (Kunosic et al, 2010). An influence of CBT on patient doses during mammographic diagnostic examinations was confirmed by other authors in their researches (Wall & Roberts, 1992;Gentry & De Werd, 1996;Dance et al, 2000;Kruger et al, 2001;Oh et al, 2003;Bouzarjomehri et al, 2006;Sookpeng & Ketted, 2006;Bor et al, 2008;Robinson & Kotre, 2008) and some authors used this dependency to predict patient doses through training of artificial neural networks (Ceke et al, 2009). The number of previously conducted mammographic examinations for the complete group was 1,80 (SD: 0,66) while more than 75 % of patients underwent at least 2 mammographic examinations in their lives.…”

Section: Patient's Dosesmentioning

confidence: 69%

An Analysis of Application of Mean Glandular Dose and Factors on Which It Depends to Patients of Various Age Groups

Kunosić¹

2012

Mammography - Recent Advances

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“…34,35 Each phantom was 6 cm in height, comparable to average compressed breast thickness during mammography. 36 The phantoms were composed of two sections-the first being a 5 cm lower slab, and the second being a 1 cm thick upper slab (placed on top of the lower section). The two-section design facilitated the addition of internal inclusions with different contrasts created by mixing intralipid with varying amounts of blood.…”

Section: Iid Phantom Imagingmentioning

confidence: 99%

Near-infrared spectral tomography integrated with digital breast tomosynthesis: Effects of tissue scattering on optical data acquisition design

et al. 2012

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Purpose: Design optimization and phantom validation of an integrated digital breast tomosynthesis (DBT) and near-infrared spectral tomography (NIRST) system targeting improvement in sensitivity and specificity of breast cancer detection is presented. Factors affecting instrumentation design include minimization of cost, complexity, and examination time while maintaining high fidelity NIRST measurements with sufficient information to recover accurate optical property maps. Methods: Reconstructed DBT slices from eight patients with abnormal mammograms provided anatomical information for the NIRST simulations. A limited frequency domain (FD) and extensive continuous wave (CW) NIRST system was modeled. The FD components provided tissue scattering estimations used in the reconstruction of the CW data. Scattering estimates were perturbed to study the effects on hemoglobin recovery. Breast mimicking agar phantoms with inclusions were imaged using the combined DBT/NIRST system for comparison with simulation results. Results: Patient simulations derived from DBT images show successful reconstruction of both normal and malignant lesions in the breast. They also demonstrate the importance of accurately quantifying tissue scattering. Specifically, 20% errors in optical scattering resulted in 22.6% or 35.1% error in quantification of total hemoglobin concentrations, depending on whether scattering was over-or underestimated, respectively. Limited frequency-domain optical signal sampling provided two regions scattering estimates (for fat and fibroglandular tissues) that led to hemoglobin concentrations that reduced the error in the tumor region by 31% relative to when a single estimate of optical scattering was used throughout the breast volume of interest. Acquiring frequency-domain data with six wavelengths instead of three did not significantly improve the hemoglobin concentration estimates. Simulation results were confirmed through experiments in two-region breast mimicking gelatin phantoms. Conclusions: Accurate characterization of scattering is necessary for quantification of hemoglobin. Based on this study, a system design is described to optimally combine breast tomosynthesis with NIRST.

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Trends in compressed breast thickness and radiation dose in breast screening mammography

Cited by 19 publications

References 7 publications

Clinical dose performance of full field digital mammography in a breast screening programme

Clinical dose performance of full field digital mammography in a breast screening programme

An Analysis of Application of Mean Glandular Dose and Factors on Which It Depends to Patients of Various Age Groups

Near-infrared spectral tomography integrated with digital breast tomosynthesis: Effects of tissue scattering on optical data acquisition design

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