The relationship of anthropometric measures to radiological features of the breast in premenopausal women.
We studied 273 premenopausal women recruited from mammography units who had different degrees of density of the breast parenchyma on mammography, in whom we measured height, weight and skinfold thicknesses. Mammograms were digitized to high spatial resolution by a scanning densitometer and images analysed to measure the area of dense tissue and the total area of the breast. Per cent density and the area of non-dense tissue were calculated from these measurements. We found that the mammographic measures had different associations with body size. Weight and the Quetelet index of obesity were strongly and positively associated with the area of non-dense tissue and with the total area of the breast, but less strongly and negatively correlated with the area of dense tissue. We also found a strong inverse relationship between the areas of radiologically dense and non-dense breast tissue. Statistical models containing anthropometric variables explained up to 8% of the variance in dense area, but explained up to 49% of the variance in non-dense area and 43% of variance in total area. These results suggest that aetiological studies in breast cancer that use mammographic density should consider dense and non-dense tissues separately. In addition to per cent density, methods should be examined that combine information from these two tissues.
Boyd
N F
NF
Division of Epidemiology and Statistics, Ontario Cancer Institute, Toronto, Canada.
Lockwood
G A
GA
Byng
J W
JW
Little
L E
LE
Yaffe
M J
MJ
Tritchler
D L
DL
D000328:Adult; D000886:Anthropometry; D001824:Body Constitution / Q000502:physiology*; D001940:Breast / Q000033:anatomy & histology*; D001943:Breast Neoplasms / Q000209:etiology; D005260:Female; D006801:Humans; D008327:Mammography; D008875:Middle Aged; D017697:Premenopause / Q000502:physiology*; D012044:Regression Analysis; D012307:Risk Factors