Development of a phantom to test fully automated breast density software – A work in progress

Waade, Gunvor G.; Hofvind, Solveig; Thompson, John D.; Highnam, Ralph; Hogg, Peter

doi:10.1016/j.radi.2016.09.003

Cited by 4 publications

(3 citation statements)

References 10 publications

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“…Our results on the association of breast compression parameters and fibroglandular volume and volumetric breast density are in line with results from previous studies (124,125,(152)(153)(154)(155).…”

Section: The Associations Between Breast Compression Parameters and Fsupporting

confidence: 93%

“…High BMI is associated with low percent mammographic density (23,116) and less favorable histopathologic tumor characteristics, including tumor size and histologic grade (180,181 (99,154). A study describing the development of a phantom to test the software showed that application of compression force and reducing the phantom thickness caused both reduction and increase in phantom's volumetric breast density estimates (155). The In Study III, to calculate BMI (one of the adjustment variables) we used information on selfreported weight and height.…”

Section: Confoundingmentioning

confidence: 99%

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Positive predictive values by mammographic density and screening mode in the Norwegian Breast Cancer Screening Program

Moshina

Ursin

Román

et al. 2016

European Journal of Radiology

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Section: The Associations Between Breast Compression Parameters and Fsupporting

confidence: 93%

Section: Confoundingmentioning

confidence: 99%

Positive predictive values by mammographic density and screening mode in the Norwegian Breast Cancer Screening Program

Moshina

Ursin

Román

et al. 2016

European Journal of Radiology

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“…Both studies used the same automated software as used in our study. In the study describing the development of a phantom to test an automated software for density assessment, it was assumed that application of compression force and reducing the phantom thickness caused both reduction and increase in phantom's percent dense volume [27]. These findings might indicate that the radiographers, who set values of compression force, could influence the estimates of percent dense volume by applying less or more compression force.…”

Section: Discussionmentioning

confidence: 99%

Breast compression parameters and mammographic density in the Norwegian Breast Cancer Screening Programme

et al. 2017

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Radiation exposure and screening yield by digital breast tomosynthesis compared to mammography: results of the TOSYMA Trial breast density related

Sommer,

Weigel,

Hense

et al. 2024

Eur Radiol

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Objectives The randomized TOmosynthesis plus SYnthesized MAmmography (TOSYMA) screening trial has shown that digital breast tomosynthesis plus synthesized mammography (DBT + SM) is superior to digital mammography (DM) in invasive breast cancer detection varying with breast density. On the other hand, the overall average glandular dose (AGD) of DBT is higher than that of DM. Comparing the DBT + SM and DM trial arm, we analyzed here the mean AGD and their determinants per breast density category and related them to the respective invasive cancer detection rates (iCDR). Methods TOSYMA screened 99,689 women aged 50 to 69 years. Compression force, resulting breast thickness, the calculated AGD obtained from each mammography device, and previously published iCDR were used for comparisons across breast density categories in the two trial arms. Results There were 196,622 exposures of 49,227 women (DBT + SM) and 197,037 exposures of 49,132 women (DM) available for analyses. Mean breast thicknesses declined from breast density category A (fatty) to D (extremely dense) in both trial arms. However, while the mean AGD in the DBT + SM arm declined concomitantly from category A (2.41 mGy) to D (1.89 mGy), it remained almost unchanged in the DM arm (1.46 and 1.51 mGy, respectively). In relative terms, the AGD elevation in the DBT + SM arm (64.4% (A), by 44.5% (B), 27.8% (C), and 26.0% (D)) was lowest in dense breasts where, however, the highest iCDR were observed. Conclusion Women with dense breasts may specifically benefit from DBT + SM screening as high cancer detection is achieved with only moderate AGD elevations. Clinical relevance statement TOSYMA suggests a favorable constellation for screening with digital breast tomosynthesis plus synthesized mammography (DBT + SM) in dense breasts when weighing average glandular dose elevation against raised invasive breast cancer detection rates. There is potential for density-, i.e., risk-adapted population-wide breast cancer screening with DBT + SM. Key Points Breast thickness declines with visually increasing density in digital mammography (DM) and digital breast tomosynthesis (DBT). Average glandular doses of DBT decrease with increasing density; digital mammography shows lower and more constant values. With the smallest average glandular dose difference in dense breasts, DBT plus SM had the highest difference in invasive breast cancer detection rates.

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Development of a phantom to test fully automated breast density software – A work in progress

Abstract: We are the first group to have produced deformable phantoms that are recognized as breasts by Volpara software.

Cited by 4 publications

References 10 publications

Positive predictive values by mammographic density and screening mode in the Norwegian Breast Cancer Screening Program

Positive predictive values by mammographic density and screening mode in the Norwegian Breast Cancer Screening Program

Breast compression parameters and mammographic density in the Norwegian Breast Cancer Screening Programme

Radiation exposure and screening yield by digital breast tomosynthesis compared to mammography: results of the TOSYMA Trial breast density related

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