Suppr超能文献

50-50 乳房的神话。

The myth of the 50-50 breast.

机构信息

Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario M4N 3M5, Canada.

出版信息

Med Phys. 2009 Dec;36(12):5437-43. doi: 10.1118/1.3250863.

Abstract

PURPOSE

For dosimetry and for work in optimization of x-ray imaging of the breast, it is commonly assumed that the breast is composed of 50% fibroglandular tissue and 50% fat. The purpose of this study was to assess whether this assumption was realistic.

METHODS

First, data obtained from an experimental breast CT scanner were used to validate an algorithm that measures breast density from digitized film mammograms. Density results obtained from a total of 2831 women, including 191 women receiving CT and from mammograms of 2640 women from three other groups, were then used to estimate breast compositions.

RESULTS

Mean compositions, expressed as percent fibroglandular tissue (including the skin), varied from 13.7% to 25.6% among the groups with an overall mean of 19.3%. The mean compressed breast thickness for the mammograms was 5.9 cm (sigma = 1.6 cm). 80% of the women in our study had volumetric breast density less than 27% and 95% were below 45%.

CONCLUSIONS

Based on the results obtained from the four groups of women in our study, the "50-50" breast is not a representative model of the breast composition.

摘要

目的

为了进行放射剂量学研究以及优化乳房 X 射线成像,通常假设乳房由 50%的纤维腺体组织和 50%的脂肪组成。本研究旨在评估这种假设是否合理。

方法

首先,使用来自实验性乳房 CT 扫描仪的数据验证了一种从数字化胶片乳房 X 光片中测量乳房密度的算法。然后,使用总共 2831 名女性的数据,包括 191 名接受 CT 检查的女性和来自另外三组的 2640 名女性的乳房 X 光片数据,来估计乳房成分。

结果

各组的平均纤维腺体组织(包括皮肤)含量以百分比表示,范围为 13.7%至 25.6%,总体平均值为 19.3%。乳房 X 光片的平均压缩厚度为 5.9 厘米(标准差为 1.6 厘米)。在我们的研究中,80%的女性的体积乳房密度小于 27%,95%的女性的体积乳房密度小于 45%。

结论

根据我们研究的四组女性的结果,“50-50”乳房并不是乳房成分的代表性模型。

相似文献

1
The myth of the 50-50 breast.
Med Phys. 2009 Dec;36(12):5437-43. doi: 10.1118/1.3250863.
3
Computational simulation of breast compression based on segmented breast and fibroglandular tissues on magnetic resonance images.
Phys Med Biol. 2010 Jul 21;55(14):4153-68. doi: 10.1088/0031-9155/55/14/013. Epub 2010 Jul 5.
7
Volumetric breast density characteristics as determined from digital mammograms.
Phys Med Biol. 2012 Nov 21;57(22):7443-57. doi: 10.1088/0031-9155/57/22/7443. Epub 2012 Oct 24.
8
Volumetric quantification of the effect of aging and hormone replacement therapy on breast composition from digital mammograms.
Eur J Radiol. 2014 Jul;83(7):1092-1097. doi: 10.1016/j.ejrad.2014.03.028. Epub 2014 Apr 12.
9
Optimization of volumetric breast density estimation in digital mammograms.
Phys Med Biol. 2017 May 7;62(9):3779-3797. doi: 10.1088/1361-6560/aa628f. Epub 2017 Feb 23.
10
The Short-Term Effect of Weight Loss Surgery on Volumetric Breast Density and Fibroglandular Volume.
Obes Surg. 2017 Apr;27(4):1013-1023. doi: 10.1007/s11695-016-2415-6.

引用本文的文献

3
Comparative image quality and dosimetric performance of two generations of dedicated breast CT systems.
Med Phys. 2025 Apr;52(4):2191-2200. doi: 10.1002/mp.17623. Epub 2025 Jan 21.
4
Volumetric Breast Density Estimation From Three-Dimensional Reconstructed Digital Breast Tomosynthesis Images Using Deep Learning.
JCO Clin Cancer Inform. 2024 Dec;8:e2400103. doi: 10.1200/CCI.24.00103. Epub 2024 Dec 9.
5
Scatter correction for contrast-enhanced digital breast tomosynthesis with a dual-layer detector.
J Med Imaging (Bellingham). 2025 Jan;12(Suppl 1):S13008. doi: 10.1117/1.JMI.12.S1.S13008. Epub 2024 Dec 4.
6
Maximizing microcalcification detectability in low-dose dedicated cone-beam breast CT: parallel cascades-based theoretical analysis.
J Med Imaging (Bellingham). 2024 May;11(3):033501. doi: 10.1117/1.JMI.11.3.033501. Epub 2024 May 15.
8
Mammography using low-frequency electromagnetic fields with deep learning.
Sci Rep. 2023 Aug 15;13(1):13253. doi: 10.1038/s41598-023-40494-x.
9
Comparison of lesion detection and conspicuity between narrow-angle and wide-angle digital breast tomosynthesis for dense and non-dense breasts.
J Med Imaging (Bellingham). 2023 Feb;10(Suppl 2):S22407. doi: 10.1117/1.JMI.10.S2.S22407. Epub 2023 May 15.
10
Breast dosimetry in alternative X-ray-based imaging modalities used in current clinical practices.
Eur J Radiol. 2022 Oct;155:110509. doi: 10.1016/j.ejrad.2022.110509. Epub 2022 Sep 6.

本文引用的文献

1
Accurate estimation of compressed breast thickness in mammography.
Med Phys. 2009 Feb;36(2):577-86. doi: 10.1118/1.3065068.
2
Measurement of compressed breast thickness by optical stereoscopic photogrammetry.
Med Phys. 2009 Feb;36(2):569-76. doi: 10.1118/1.3065066.
3
Mammographic density. Measurement of mammographic density.
Breast Cancer Res. 2008;10(3):209. doi: 10.1186/bcr2102. Epub 2008 Jun 19.
4
The effect of skin thickness determined using breast CT on mammographic dosimetry.
Med Phys. 2008 Apr;35(4):1199-206. doi: 10.1118/1.2841938.
5
Dedicated breast CT: initial clinical experience.
Radiology. 2008 Mar;246(3):725-33. doi: 10.1148/radiol.2463070410. Epub 2008 Jan 14.
6
Contact surface and material nonlinearity modeling of human lungs.
Phys Med Biol. 2008 Jan 7;53(1):305-17. doi: 10.1088/0031-9155/53/1/022. Epub 2007 Dec 19.
7
Mammographic density and the risk and detection of breast cancer.
N Engl J Med. 2007 Jan 18;356(3):227-36. doi: 10.1056/NEJMoa062790.
8
Computed tomography for imaging the breast.
J Mammary Gland Biol Neoplasia. 2006 Apr;11(2):103-11. doi: 10.1007/s10911-006-9017-1.
9
Breast composition measurements using retrospective standard mammogram form (SMF).
Phys Med Biol. 2006 Jun 7;51(11):2695-713. doi: 10.1088/0031-9155/51/11/001. Epub 2006 May 9.
10
Volumetric breast density estimation from full-field digital mammograms.
IEEE Trans Med Imaging. 2006 Mar;25(3):273-82. doi: 10.1109/TMI.2005.862741.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验