Publications
Browse peer-reviewed publications featuring Volpara Health science and technologies.
*full bibliography available upon request
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Mammographic density change in a cohort of premenopausal women receiving tamoxifen for breast cancer prevention over 5 years
Brentnall, Warren, Harkness, Astley, Wiseman, Fox, Fox, Eriksson, Hall, Cuzick, Evans, Howell.
“All measures showed a consistent and large average tamoxifen-induced change in density over the first year, and a continued decline thereafter.”
A Case-Control Study to Add Volumetric or Clinical Mammographic Density into the Tyrer-Cuzick Breast Cancer Risk Model
Brentnall, Cohn, Knaus, Yaffe, Cuzick, Harvey
“The addition of volumetric and visual mammographic density measures to classical risk factors improves risk stratification. A combined risk could be used to guide precision medicine, through risk-adapted screening and prevention strategies.”
Technical Note: Validation of two methods to determine contact area between breast and compression paddle in mammography
Branderhorst, de Groot, van Lier, Highnam, den Heeten, Grimbergen
“The size of the contact area between the paddle and the breast can be determined accurately and precisely, both in real-time using the capacitive method, and retrospectively using image processing software. This result is beneficial for scientific research, data analysis and quality control systems that depend on one of these two methods for determining the average pressure on the breast during mammographic compression.”
Mammographic compression – A need for mechanical standardization
Branderhorst, de Groot, Highnam, Chan, Böhm, Broeders, den Heeten, Grimbergen
“All mammographic images were processed using VolparaAnalytics … and VolparaDensity … to obtain objective, device-independent estimates of breast volume, breast density, average glandular dose (AGD) and size of the contact area between the breast and the paddle.”
Common genetic variation and novel loci associated with volumetric mammographic density
Brand, Humphreys, Li, Karlsson, Hall, Czene
“Apart from identifying three novel loci, we demonstrate that at least 25% of the MD variance is explained by common genetic variation with h2 SNP/h2 ratios varying between dense and nondense MD components … A fully automated method such as Volpara has clear benefits in terms of a standardized and objective MD measurement.”
Volumetric Mammographic Density: Heritability and Association With Breast Cancer Susceptibility Loci
Brand, Humphreys, Thompson, Li, Eriksson, Hall, Czene
“Our results support the high heritability of mammographic density, though estimates are weaker for absolute than percent dense volume.”
Long-term exposure to insulin and volumetric mammographic density: observational and genetic associations in the Karma study
Borgquist, Rosendahl, Czene, Bhoo-Pathy, Dorkhan, Hall, Brand
“The consistency in direction of association for insulin treatment and the insulin genetic score with the absolute dense volume suggest a causal influence of long term increased insulin exposure on mammographic dense breast tissue.”
Using an automated measure of breast density to explore the association between ethnicity and mammographic density in Australian women
Bell, Evans, Fox, Pridmore
“Mammographic density as assessed by VDG was positively associated with ever exposure to MHT and inversely associated with age. Being born in a country with predominantly Asian ancestry was associated with higher VDG when controlled for age and MHT exposure.”
Supplemental MRI Screening for Women with Extremely Dense Breast Tissue
Bakker, de Lange, Pijnappel, Mann, Peeters, Monninkhof, Emaus, Loo, Bisschops, Lobbes, de Jong, Duvivier, Veltman, Karssemeijer, de Koning, van Diest, Mali, van den Bosch, Veldhuis, van Gils
“The use of supplemental MRI screening in women with extremely dense breast tissue and normal results on mammography resulted in the diagnosis of significantly fewer interval cancers than mammography alone during a 2-year screening period.”
A comparison of five methods of measuring mammographic density: a case-control study
Astley, Harkness, Sergeant, Warwick, Stavrinos, Warren, Wilson, Beetles, Gadde, Lim, Jain, Bundred, Barr, Reece, Brentnall, Cuzick, Howell, Evans
“Visual density assessment demonstrated a strong relationship with cancer, despite known inter-observer variability; however, it is impractical for population-based screening. Percentage density measured by Volpara and Densitas also had a strong association with breast cancer risk, amongst the automated measures evaluated, providing practical automated methods for risk stratification.”
