TY - JOUR
T1 - Volumetric breast density from full-field digital mammograms and its association with breast cancer risk factors
T2 - a comparison with a threshold method
AU - Lokate, Mariette A J M
AU - Kallenberg, Michiel Gijsbertus J
AU - Karssemeijer, Nico
AU - Bosch, Maurice A A J van den
AU - Peeters, Petra H M
AU - Gils, Carla H van
PY - 2010
Y1 - 2010
N2 - BACKGROUND: Breast density, a strong breast cancer risk factor, is usually measured on the projected breast area from film screen mammograms. This is far from ideal, as breast thickness and technical characteristics are not taken into account. We investigated whether volumetric density measurements on full-field digital mammography (FFDM) are more strongly related to breast cancer risk factors than measurements with a computer-assisted threshold method.METHODS: Breast density was measured on FFDMs from 370 breast cancer screening participants, using a computer-assisted threshold method and a volumetric method. The distribution of breast cancer risk factors among quintiles of density was compared between both methods. We adjusted for age and body mass index (BMI) with linear regression analysis.RESULTS: High percent density was strongly related to younger age, lower BMI, nulliparity, late age at first delivery and pre/perimenopausal status, to the same extent with both methods (all p
AB - BACKGROUND: Breast density, a strong breast cancer risk factor, is usually measured on the projected breast area from film screen mammograms. This is far from ideal, as breast thickness and technical characteristics are not taken into account. We investigated whether volumetric density measurements on full-field digital mammography (FFDM) are more strongly related to breast cancer risk factors than measurements with a computer-assisted threshold method.METHODS: Breast density was measured on FFDMs from 370 breast cancer screening participants, using a computer-assisted threshold method and a volumetric method. The distribution of breast cancer risk factors among quintiles of density was compared between both methods. We adjusted for age and body mass index (BMI) with linear regression analysis.RESULTS: High percent density was strongly related to younger age, lower BMI, nulliparity, late age at first delivery and pre/perimenopausal status, to the same extent with both methods (all p
U2 - 10.1158/1055-9965.EPI-10-0703
DO - 10.1158/1055-9965.EPI-10-0703
M3 - Journal article
C2 - 20921336
SN - 1055-9965
VL - 19
SP - 3096
EP - 3105
JO - Cancer Epidemiology, Biomarkers & Prevention
JF - Cancer Epidemiology, Biomarkers & Prevention
M1 - 3096
ER -