Effective x-ray attenuation coefficient measurements from two full field digital mammography systems for data calibration applications
John J. Heine,Jerry A. Thomas +1 more
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TLDR
FFDM systems provide a quantitative output, and the calibration quantities presented here may be used for data acquired on similar FFDM systems and are in agreement with those predicted numerically.Abstract:
Breast density is a significant breast cancer risk factor. Currently, there is no standard method for measuring this important factor. Work presented here represents an essential component of an ongoing project that seeks to determine the appropriate method for calibrating (standardizing) mammography image data to account for the x-ray image acquisition influences. Longer term goals of this project are to make accurate breast density measurements in support of risk studies. Logarithmic response calibration curves and effective x-ray attenuation coefficients were measured from two full field digital mammography (FFDM) systems with breast tissue equivalent phantom imaging and compared. Normalization methods were studied to assess the possibility of reducing the amount of calibration data collection. The percent glandular calibration map functional form was investigated. Spatial variations in the calibration data were used to assess the uncertainty in the calibration application by applying error propagation analyses. Logarithmic response curves are well approximated as linear. Measured effective x-ray attenuation coefficients are characteristic quantities independent of the imaging system and are in agreement with those predicted numerically. Calibration data collection can be reduced by applying a simple normalization technique. The calibration map is well approximated as linear. Intrasystem calibration variation was on the order of four percent, which was approximately half of the intersystem variation. FFDM systems provide a quantitative output, and the calibration quantities presented here may be used for data acquired on similar FFDM systems.read more
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References
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Journal ArticleDOI
Breast Density and Parenchymal Patterns as Markers of Breast Cancer Risk: A Meta-analysis
TL;DR: This review explains some of the heterogeneity in associations of breast density with breast cancer risk and shows that, in well-conducted studies, this is one of the strongest risk factors for breast cancer.
Journal ArticleDOI
Diagnostic Performance of Digital versus Film Mammography for Breast-Cancer Screening
Etta D. Pisano,Constantine Gatsonis,Edward Hendrick,Martin J. Yaffe,Janet K. Baum,Suddhasatta Acharyya,Emily F. Conant,Laurie L. Fajardo,Lawrence W. Bassett,Roberta A. Jong,Murray Rebner +10 more
TL;DR: The overall diagnostic accuracy of digital and film mammography as a means of screening for breast cancer is similar, but digital mammography is more accurate in women under the age of 50 years, women with radiographically dense breasts, and premenopausal or perimenopausal women.
Journal ArticleDOI
Screening for Breast Cancer
TL;DR: In the community, mammography remains the main screening tool while the effectiveness of clinical breast examination and self-examination are less, and new screening modalities are unlikely to replace mammography in the near future for screening the general population.
Journal ArticleDOI
Diagnostic Performance of Digital versus Film Mammography for Breast-Cancer Screening
Etta D. Pisano,Constantine Gatsonis,Edward Hendrick,Martin J. Yaffe,Janet K. Baum,Suddhasatta Acharyya,Emily F. Conant,Laurie L. Fajardo,Lawrence W. Bassett,Carl J. D'Orsi,Roberta A. Jong,Murray Rebner +11 more
TL;DR: Digital mammography did, however, perform significantly better than the film method in women less than 50 years of age, in those having heterogeneously dense or very dense breasts, and premenopausal or perimenopausal women.
Journal ArticleDOI
Mammographic breast density as an intermediate phenotype for breast cancer
Norman F. Boyd,Johanna M. Rommens,Kelly Vogt,Vivian Lee,John L. Hopper,Martin J. Yaffe,Andrew D. Paterson +6 more
TL;DR: Evidence is presented that mammographic density is a strong risk factor for breast cancer, and that risk of breast cancer is four to five times greater in women with density in more than 75% of the breast than in Women with little or no density in the breast.