2015
DOI: 10.1097/gox.0000000000000289
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Breast Shape Change Associated with Aging

Abstract: Background:Objective assessments of the shapes of various parts of the body can be made using images acquired with multidetector row computed tomography or magnetic resonance imaging. These images can be useful for understanding the changes in body shape that accompany aging.Methods:Data from our previous bilateral prone breast magnetic resonance imaging studies between March and August 2013 were analyzed. Breast size and volume were measured using these images. All the patients included in the study were divi… Show more

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Cited by 9 publications
(3 citation statements)
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“…The breast shape and size of elderly patients are different from those of younger patients, the difference might cause an uneven dose distribution. 19 , 20 Therefore, a larger cohort study may be needed to achieve greater clinical value. Another limitation is that we did not evaluate the late toxicity of RT.…”
Section: Discussionmentioning
confidence: 99%
“…The breast shape and size of elderly patients are different from those of younger patients, the difference might cause an uneven dose distribution. 19 , 20 Therefore, a larger cohort study may be needed to achieve greater clinical value. Another limitation is that we did not evaluate the late toxicity of RT.…”
Section: Discussionmentioning
confidence: 99%
“…A unique risk factor in women could be breast size, as this conceivably affects upper torso mechanics [14] and has been associated with UBP in postmenopausal women [15]. Breast size [16] and breast characteristics [17] commonly change following menopause, and whilst these characteristics have been reported to explain some of the variance in UBP in women aged 18–82 years (mean (SD) age 41 (19) years) [18], their importance and contribution to UBP alongside other potentially relevant physical characteristics, has not been previously explored.…”
Section: Introductionmentioning
confidence: 99%
“…Invading adipocytes take over the space previously filled with epithelial cells (Machida & Nakadate 2015).…”
Section: Fibrosismentioning
confidence: 99%