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Breast Shape Change Associated with Aging: A Study Using Prone Breast Magnetic Resonance Imaging.

Machida Y, Nakadate M - Plast Reconstr Surg Glob Open (2015)

Bottom Line: The values were compared between the 2 groups using paired t tests.There was also a significant correlation between the measured breast volume and the craniocaudal nipple deviation (R = -0.48; P < 0.001).These 2 variables were also correlated.

View Article: PubMed Central - PubMed

Affiliation: Department of Radiology, Kameda Kyobashi Clinic, Chuo-ku, Tokyo, Japan; and Department of Diagnostic Radiology and Nuclear Medicine, Tokyo Medical and Dental University, Yushima, Tokyo, Japan.

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 divided into a younger group (54 years or younger) and an older group (55 years or older). The values were compared between the 2 groups using paired t tests. Regarding variables that were shown to have a significant difference between the 2 groups, the relationships between age and the values of the variables were evaluated using the Pearson correlation coefficient.

Results: A total of 90 breasts, 45 breasts in the younger group and 45 breasts in the older group, were used for analysis. There was a significant correlation between age and craniocaudal nipple deviation (R = -0.38; P < 0.001) and between age and the measured breast volume (R = 0.26; P < 0.05). There was also a significant correlation between the measured breast volume and the craniocaudal nipple deviation (R = -0.48; P < 0.001).

Conclusions: A caudal deviation of the nipple and an increase in volume were age-related changes in breast shape. These 2 variables were also correlated.

No MeSH data available.


Left breast of a 76-year-old woman. Sagittal (A) and axial (B) images of T1-weighted gradient-echo MRI. The measured volume, height-to-width radio, mediolateral nipple deviation, and craniocaudal nipple deviation of this breast were 730 mL, 1.31, −0.20, and −0.40, respectively.
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Figure 3: Left breast of a 76-year-old woman. Sagittal (A) and axial (B) images of T1-weighted gradient-echo MRI. The measured volume, height-to-width radio, mediolateral nipple deviation, and craniocaudal nipple deviation of this breast were 730 mL, 1.31, −0.20, and −0.40, respectively.

Mentions: Out of the 175 breasts in 88 women who underwent breast MRI scanning during the period, 85 breasts in 82 women were excluded from further analysis for the following reasons: 2 breasts in 2 women with a previous lumpectomy; 4 breasts in 3 women with previous radiofrequency ablation for breast cancer; 66 breasts in 64 women with diagnosed breast cancer (ductal carcinoma in situ, n = 9; invasive carcinoma with or without intraductal carcinoma, n = 57; bilateral cancers in 2 women); 9 breasts in 9 women with lesions of unknown significance; and 4 breasts in 4 women with diagnosed benign lesions more than 10 mm in diameter (phyllodes tumor, n = 2; intraductal papilloma, n = 1; radial sclerosing lesion, n = 1). The remaining 90 breasts in 77 women were used for further analysis. This population included 45 breasts in the younger group (Fig. 2) and 45 breasts in the older group (Fig. 3).


Breast Shape Change Associated with Aging: A Study Using Prone Breast Magnetic Resonance Imaging.

Machida Y, Nakadate M - Plast Reconstr Surg Glob Open (2015)

Left breast of a 76-year-old woman. Sagittal (A) and axial (B) images of T1-weighted gradient-echo MRI. The measured volume, height-to-width radio, mediolateral nipple deviation, and craniocaudal nipple deviation of this breast were 730 mL, 1.31, −0.20, and −0.40, respectively.
© Copyright Policy
Related In: Results  -  Collection

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getmorefigures.php?uid=PMC4494483&req=5

Figure 3: Left breast of a 76-year-old woman. Sagittal (A) and axial (B) images of T1-weighted gradient-echo MRI. The measured volume, height-to-width radio, mediolateral nipple deviation, and craniocaudal nipple deviation of this breast were 730 mL, 1.31, −0.20, and −0.40, respectively.
Mentions: Out of the 175 breasts in 88 women who underwent breast MRI scanning during the period, 85 breasts in 82 women were excluded from further analysis for the following reasons: 2 breasts in 2 women with a previous lumpectomy; 4 breasts in 3 women with previous radiofrequency ablation for breast cancer; 66 breasts in 64 women with diagnosed breast cancer (ductal carcinoma in situ, n = 9; invasive carcinoma with or without intraductal carcinoma, n = 57; bilateral cancers in 2 women); 9 breasts in 9 women with lesions of unknown significance; and 4 breasts in 4 women with diagnosed benign lesions more than 10 mm in diameter (phyllodes tumor, n = 2; intraductal papilloma, n = 1; radial sclerosing lesion, n = 1). The remaining 90 breasts in 77 women were used for further analysis. This population included 45 breasts in the younger group (Fig. 2) and 45 breasts in the older group (Fig. 3).

Bottom Line: The values were compared between the 2 groups using paired t tests.There was also a significant correlation between the measured breast volume and the craniocaudal nipple deviation (R = -0.48; P < 0.001).These 2 variables were also correlated.

View Article: PubMed Central - PubMed

Affiliation: Department of Radiology, Kameda Kyobashi Clinic, Chuo-ku, Tokyo, Japan; and Department of Diagnostic Radiology and Nuclear Medicine, Tokyo Medical and Dental University, Yushima, Tokyo, Japan.

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 divided into a younger group (54 years or younger) and an older group (55 years or older). The values were compared between the 2 groups using paired t tests. Regarding variables that were shown to have a significant difference between the 2 groups, the relationships between age and the values of the variables were evaluated using the Pearson correlation coefficient.

Results: A total of 90 breasts, 45 breasts in the younger group and 45 breasts in the older group, were used for analysis. There was a significant correlation between age and craniocaudal nipple deviation (R = -0.38; P < 0.001) and between age and the measured breast volume (R = 0.26; P < 0.05). There was also a significant correlation between the measured breast volume and the craniocaudal nipple deviation (R = -0.48; P < 0.001).

Conclusions: A caudal deviation of the nipple and an increase in volume were age-related changes in breast shape. These 2 variables were also correlated.

No MeSH data available.