Determination of equivalent breast phantoms for different age groups of Taiwanese women: An experimental approach

Dong, Shang-Lung; Chu, T. L.; Lin, Y; Lan, Gong Yau; Yeh, Yu Hsiu; Chen, Sharon Chia-Ju; Chuang, Keh Shih

doi:10.1118/1.3591989

Cited by 3 publications

(2 citation statements)

References 30 publications

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“…Next to the use of computer simulations, the breast equivalent PMMA thickness can also follow from practical measurements that find the PMMA thickness that induces the same automatic exposure values as a group of patients with a typical breast thickness. This study was recently performed for the Taiwanese population [35].…”

Section: Predicting Patient Dose From the Standard Breast Phantommentioning

confidence: 99%

Radiation Doses and Risks Associated with Mammographic Screening

Bosmans

Marshall

2013

Curr Radiol Rep

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Radiation dose and the associated risk to the breast are being studied in much detail with the aim of justifying breast cancer screening. The mean glandular dose has been proposed as the proper quantity to describe risks incurred by radiation. X. Wu (US) and D. Dance (UK) were the first authors to standardize breast dosimetry and their conversion tables have been used throughout. Doses can be calculated for specific population samples or for individual patients, in which case an accurate estimate of the glandular tissue fraction should be known. From specific DICOM tags in the digital images and access to tube output measurements from the medical physics QA, patient dose assessment can be largely automated. Other (traditional) approaches mimic clinical exposures on a Perspex phantom and use these exposures to estimate the breast dose to a typical breast. Any local data, both patient dose data and doses to Perspex, can these days be compared to an extensive amount of published dose values. Radiation dose and image quality should both be considered in screening applications. Better image quality can have a significant effect on diagnostic performance. As only a small increase in performance (ex. detected fraction) gained can mean an enormous amount of women saved, image quality settings should be optimized and not minimized. Risk benefit investigation should therefore focus on performance rather than dose. For a few screening programs, the benefits could be proven. Emerging technologies should be investigated along the same basic principles.

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Section: Predicting Patient Dose From the Standard Breast Phantommentioning

confidence: 99%

Radiation Doses and Risks Associated with Mammographic Screening

Bosmans

Marshall

2013

Curr Radiol Rep

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“…Some women even refuse mammography because of the painful experience. The compression force is closely related to breast volume and density [4]. Therefore, the use of breast tissue information may help us to determine objective recommendations for mammographic compression.…”

Section: Introductionmentioning

confidence: 99%

Using Breast Tissue Information and Subject-Specific Finite-Element Models to Optimize Breast Compression Parameters for Digital Mammography

Chang

Wu²,

Liu³

et al. 2022

Electronics

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Digital mammography has become a first-line diagnostic tool for clinical breast cancer screening due to its high sensitivity and specificity. Mammographic compression force is closely associated with image quality and patient comfort. Therefore, optimizing breast compression parameters is essential. Subjects were recruited for digital mammography and breast magnetic resonance imaging (MRI) within a month. Breast MRI images were used to calculate breast volume and volumetric breast density (VBD) and construct finite element models. Finite element analysis was performed to simulate breast compression. Simulated compressed breast thickness (CBT) was compared with clinical CBT and the relationships between compression force, CBT, breast volume, and VBD were established. Simulated CBT had a good linear correlation with the clinical CBT (R2 = 0.9433) at the clinical compression force. At 10, 12, 14, and 16 daN, the mean simulated CBT of the breast models was 5.67, 5.13, 4.66, and 4.26 cm, respectively. Simulated CBT was positively correlated with breast volume (r > 0.868) and negatively correlated with VBD (r < –0.338). The results of this study provides a subject-specific and evidence-based suggestion of mammographic compression force for radiographers considering image quality and patient comfort.

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Abstract ID: 225 Development of adjustable model breast using mammographic information for Monte Carlo simulation in nuclear medicine — Impact on dosimetry

Lin

Yang

et al. 2017

Physica Medica

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Determination of equivalent breast phantoms for different age groups of Taiwanese women: An experimental approach

Cited by 3 publications

References 30 publications

Radiation Doses and Risks Associated with Mammographic Screening

Radiation Doses and Risks Associated with Mammographic Screening

Using Breast Tissue Information and Subject-Specific Finite-Element Models to Optimize Breast Compression Parameters for Digital Mammography

Abstract ID: 225 Development of adjustable model breast using mammographic information for Monte Carlo simulation in nuclear medicine — Impact on dosimetry

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