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Assessment of breast positioning criteria in mammographic screening: Agreement between artificial intelligence software and radiographers
Waade, Danielsen, Holen, Larsen, Hanestad, Hopland, Kalcheva, Hofvind
“AI has great potential in evaluating breast position criteria in mammography by reducing subjectivity.”
Monte Carlo calculation of conversion coefficients for dose estimation in mammography based on a 3D detailed breast model
Wang, Qiu, Ren, Liu, Wu, Li, Niu, Li
“A series of glandular tissue dose conversion coefficients for dose estimation in mammography were calculated. The conversion coefficients calculated in this study were compared with those estimated with the simple breast model. A discrepancy of 5.4–38.0% was observed.”
Breast compression across consecutive examinations among females participating in BreastScreen Norway
Waade, Sebuødegård, Hogg, Hofvind
“Breast compression force, compression pressure and compressed breast thickness increased across consecutive screening examinations,
which might be of influence for the females’ experiences of discomfort and pain during the examination and for image quality.”
Compression forces used in the Norwegian Breast Cancer Screening Program
Waade, Moshina, Sebuødegård, Hogg, Hofvind
“A wide variation in applied compression force was observed between the breast centres in the NBCSP. This variation indicates a need for evidence based recommendations for compression force aimed at optimizing the image quality and individualizing breast compression.”
Mechanical standardisation of mammographic compression using Volpara software
Serwan, Matthews, Davies, Chau
“Real-time compression pressure standardisation may benefit examination consistency. The relationship between breast volume, contact area, compression force and resultant compression pressure may aid in developing an objective compression protocol for clinical practice.”
Normalized glandular dose (DgN) coefficients from experimental mammographic x-ray spectra
Santos, Tomal, de Barros, Costa
“Polyenergetic x-ray spectrometry proved to be an applicable tool for research in dosimetry in mammography allowing spectral characterization.”
Impact of compressed breast thickness and dose on lesion detectability in digital mammography: FROC study with simulated lesions in real mammograms
Salvagnini, Bosmans, Van Ongeval, Van Steen, Michielsen, Cockmartin, Struelens, Marshall
“These data using clinical images confirm results found in simple QA tests for many mammography systems that detectability falls as breast thickness increases.”
Comparison of a personalized breast dosimetry method with standard dosimetry protocols
Salomon, Homolka, Semturs, Figl, Gruber, Hummel
“In this study we compared three diferent methods of estimating glandularities according to Wu, Dance and Volpara with respect to resulting AGDs .. As the Volpara method provides an analysis of the individual breast tissue, while the Wu and the Dance methods use look up tables and custom parameter sets, the Volpara method might be more appropriate if individual ADG values are sought.”
Determination of personalized mean glandular dose using estimates of the glandular tissue distribution in a clinical setting
Porras-Chaverri, Mora, Vetter, Highnam
“Differences of up to 19% were found between the dose coefficients calculated using the traditional geometry with respect to those calculated using the HLB geometry. These differences are due solely to the individual distributions of glandular tissue. “
Do women with dense breasts have higher radiation dose during screening mammography?
Nguyen, Williams, Patrie, Harvey
“Compressed breast thickness had the greatest effect on average glandular dose. Breast density has a minor impact, while BMI and age have minimal impact on dose.”
