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Agreement of Mammographic Measures of Volumetric Breast Density to MRI

Wang, Azziz, Fan, Malkov, Klifa, Newitt, Yitta, Hylton, Kerlikowske, Shepherd

“Automated volumetric fibroglandular tissue measures from screening digital mammograms were in substantial agreement with MRI and if associated with breast cancer could be used in clinical practice to enhance risk assessment and prevention.”

Mammographic density measurements are not affected by mammography system

Damases, Brennan, McEntee

“Raw mammographic images were acquired on two mammography imaging systems (General Electric and Hologic) one year apart and processed using VolparaDensity™ to obtain the Volpara Density Grade (VDG) and average volumetric breast density percentage (AvBD%). Visual BIRADS scores were also obtained from 20 expert readers. BIRADS scores for both systems showed strong positive correlation (ρ ¼ 0.904; p < 0.001), while the VDG (ρ ¼ 0.978; p < 0.001) and AvBD% (ρ ¼ 0.973; p < 0.001) showed stronger positive correlations.”

Local breast density assessment using reacquired mammographic images

García, Diaz, Martí, Diez, Gubern-Mérida, Sentís, Martí, Oliver

“This study indicates that Volpara™ Density Maps is reliable in estimating the local glandular tissue distribution and can be used for its assessment and follow-up. Volpara™ Density Maps is robust to small variations of the acquisition angle and to the beam energy …”

Automated Measurement of Volumetric Mammographic Density: A Tool for Widespread Breast Cancer Risk Assessment

Brand, Czene, Shepherd, Leifland, Heddson, Sundbom, Eriksson, Li, Humphreys, Hall

“Percent and absolute dense volumes as obtained with Volpara are associated with established determinants of mammographic density as well as breast cancer risk… our results suggest that automated measurement of volumetric mammographic density can be used as part of screening programs to provide risk and masking information that could be used to alter woman’s clinical management…”

Volumetric breast density measurement: sensitivity analysis of a relative physics approach

Lau, Ng, Aziz

“Volpara was robust to expected clinical variations, with errors in most investigated parameters giving limited changes in results…”

Automated volumetric breast density estimation: A comparison with visual assessment

Seo, Ko, Han, Ko, Shin, Hahn

“VBD showed a highly significant positive correlation with visual assessment… Automated VBD is a reliable objective method to measure breast density.”

Comparison of mammographic density estimation by Volpara software with radiologists’ visual assessment: analysis of clinical-radiologic factors affecting discrepancy between them

Lee, Sohn, Han

“Therefore, the use of automated software may help provide higher reproducibility, especially for patients with different bilateral breast densities… In conclusion, automated volumetric breast density measurement shows good agreement of BI-RADS density category as a quantitative method.”

Consistency of breast density categories in serial screening mammograms: A comparison between automated and human assessment

Holland, Zelst, Heeten, Imhof-Tas, Mann, Gils, Karssemeijer

“The categorization of serial mammograms in density classes is more consistent with automated software than with a mixed group of human readers. When using breast density to personalize screening protocols, assessment with software may be preferred over assessment by radiologists.”

Volumetric Breast Density Estimation from Full-Field Digital Mammograms: A Validation Study

Gubern-Mérida, Kallenberg, Platel, Mann, Martí, Karssemeijer

“…our study shows that it is feasible to obtain accurate measurements of absolute and relative volumes of dense breast tissue from full field digital mammograms. Availability of such measurements is crucial for the development of objective breast cancer risk models and may be used in the development of personalized screening protocols.”

Reliability of Automated Breast Density Measurements

Alonzo-Proulx, Mawdsley, Patrie, Yaffe, Harvey

“Variability in a repeated measurement of breast density is lowest for Volpara and Quantra; these algorithms may be more suited to incorporation into a risk model.”