Age- and race-dependence of the fibroglandular breast density analyzed on 3D MRI
Purpose: The purpose of this study was to evaluate the age- and race-dependence of the breast fibroglandular tissue density based on three-dimensional breast MRI. Methods: The normal breasts of 321 consecutive patients including Caucasians, Asians, and Hispanics were studied. The subjects were separ...
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| Vydáno v: | Medical physics (Lancaster) Ročník 37; číslo 6; s. 2770 - 2776 |
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| Médium: | Journal Article |
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United States
American Association of Physicists in Medicine
01.06.2010
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| ISSN: | 0094-2405, 2473-4209 |
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| Abstract | Purpose:
The purpose of this study was to evaluate the age- and race-dependence of the breast fibroglandular tissue density based on three-dimensional breast MRI.
Methods:
The normal breasts of 321 consecutive patients including Caucasians, Asians, and Hispanics were studied. The subjects were separated into three age groups: Younger than 45, between 45 and 55, and older than 55. Computer algorithms based on body landmarks were used to segment the breast, and fuzzy c-means algorithm was used to segment the fibroglandular tissue. Linear regression analysis was applied to compare mean differences among different age groups and race/ethnicity groups. The obtained parameters were not normally distributed, and the transformed data, natural log (ln) for the fibroglandular tissue volume, and the square root for the percent density were used for statistical analysis.
Results:
On the average, the transformed fibroglandular tissue volume and percent density decreased significantly with age. Racial differences in mean transformed percent density were found among women older than 45, but not among women younger than 45. Mean percent density was higher in Asians compared to Caucasians and Hispanics; the difference remained significant after adjustment for age, but not significant after adjusted for both age and breast volume. There was no significant difference in the density between the Caucasians and the Hispanics.
Conclusions:
The results analyzed using the MRI-based method show age- and race-dependence, which is consistent with literature using mammography-based methods. |
|---|---|
| AbstractList | The purpose of this study was to evaluate the age- and race-dependence of the breast fibroglandular tissue density based on three-dimensional breast MRI.PURPOSEThe purpose of this study was to evaluate the age- and race-dependence of the breast fibroglandular tissue density based on three-dimensional breast MRI.The normal breasts of 321 consecutive patients including Caucasians, Asians, and Hispanics were studied. The subjects were separated into three age groups: Younger than 45, between 45 and 55, and older than 55. Computer algorithms based on body landmarks were used to segment the breast, and fuzzy c-means algorithm was used to segment the fibroglandular tissue. Linear regression analysis was applied to compare mean differences among different age groups and race/ethnicity groups. The obtained parameters were not normally distributed, and the transformed data, natural log (ln) for the fibroglandular tissue volume, and the square root for the percent density were used for statistical analysis.METHODSThe normal breasts of 321 consecutive patients including Caucasians, Asians, and Hispanics were studied. The subjects were separated into three age groups: Younger than 45, between 45 and 55, and older than 55. Computer algorithms based on body landmarks were used to segment the breast, and fuzzy c-means algorithm was used to segment the fibroglandular tissue. Linear regression analysis was applied to compare mean differences among different age groups and race/ethnicity groups. The obtained parameters were not normally distributed, and the transformed data, natural log (ln) for the fibroglandular tissue volume, and the square root for the percent density were used for statistical analysis.On the average, the transformed fibroglandular tissue volume and percent density decreased significantly with age. Racial differences in mean transformed percent density were found among women older than 45, but not among women younger than 45. Mean percent density was higher in Asians compared to Caucasians and Hispanics; the difference remained significant after adjustment for age, but not significant after adjusted for both age and breast volume. There was no significant difference in the density between the Caucasians and the Hispanics.RESULTSOn the average, the transformed fibroglandular tissue volume and percent density decreased significantly with age. Racial differences in mean transformed percent density were found among women older than 45, but not among women younger than 45. Mean percent density was higher in Asians compared to Caucasians and Hispanics; the difference remained significant after adjustment for age, but not significant after adjusted for both age and breast volume. There was no significant difference in the density between the Caucasians and the Hispanics.The results analyzed using the MRI-based method show age- and race-dependence, which is consistent with literature using mammography-based methods.CONCLUSIONSThe results analyzed using the MRI-based method show age- and race-dependence, which is consistent with literature using mammography-based methods. Purpose: The purpose of this study was to evaluate the age- and race-dependence of the breast fibroglandular tissue density based on three-dimensional breast MRI. Methods: The normal breasts of 321 consecutive patients including Caucasians, Asians, and Hispanics were studied. The subjects were separated into three age groups: Younger than 45, between 45 and 55, and older than 55. Computer algorithms based on body landmarks were used to segment the breast, and fuzzy c-means algorithm was used to segment the fibroglandular tissue. Linear regression analysis was applied to compare mean differences among different age groups and race/ethnicity groups. The obtained parameters were not normally distributed, and the transformed data, natural log (ln) for the fibroglandular tissue volume, and the square root for the percent density were used for statistical analysis. Results: On the average, the transformed fibroglandular tissue volume and percent density decreased significantly with age. Racial differences in mean transformed percent density were found among women older than 45, but not among women younger than 45. Mean percent density was higher in Asians compared to Caucasians and Hispanics; the difference remained significant after adjustment for age, but not significant after adjusted for both age and breast volume. There was no significant difference in the density between the Caucasians and the Hispanics. Conclusions: The results analyzed using the MRI-based method show age- and race-dependence, which is consistent with literature using mammography-based methods. Purpose: The purpose of this study was to evaluate the age- and race-dependence of the breast fibroglandular tissue density based on three-dimensional breast MRI. Methods: The normal breasts of 321 consecutive patients including Caucasians, Asians, and Hispanics were studied. The subjects were separated into three age groups: Younger than 45, between 45 and 55, and older than 55. Computer algorithms based on body landmarks were used to segment the breast, and fuzzy c-means algorithm was used to segment the fibroglandular tissue. Linear regression analysis was applied to compare mean differences among different age groups and race∕ethnicity groups. The obtained parameters were not normally distributed, and the transformed data, natural log (ln) for the fibroglandular tissue volume, and the square root for the percent density were used for statistical analysis. Results: On the average, the transformed fibroglandular tissue volume and percent density decreased significantly with age. Racial differences in mean transformed percent density were found among women older than 45, but not among women younger than 45. Mean percent density was higher in Asians compared to Caucasians and Hispanics; the difference remained significant after adjustment for age, but not significant after adjusted for both age and breast volume. There was no significant difference in the density between the Caucasians and the Hispanics. Conclusions: The results analyzed using the MRI-based method show age- and race-dependence, which is consistent with literature using mammography-based methods. The purpose of this study was to evaluate the age- and race-dependence of the breast fibroglandular tissue density based on three-dimensional breast MRI. The normal breasts of 321 consecutive patients including Caucasians, Asians, and Hispanics were studied. The subjects were separated into three age groups: Younger than 45, between 45 and 55, and older than 55. Computer algorithms based on body landmarks were used to segment the breast, and fuzzy c-means algorithm was used to segment the fibroglandular tissue. Linear regression analysis was applied to compare mean differences among different age groups and race/ethnicity groups. The obtained parameters were not normally distributed, and the transformed data, natural log (ln) for the fibroglandular tissue volume, and the square root for the percent density were used for statistical analysis. On the average, the transformed fibroglandular tissue volume and percent density decreased significantly with age. Racial differences in mean transformed percent density were found among women older than 45, but not among women younger than 45. Mean percent density was higher in Asians compared to Caucasians and Hispanics; the difference remained significant after adjustment for age, but not significant after adjusted for both age and breast volume. There was no significant difference in the density between the Caucasians and the Hispanics. The results analyzed using the MRI-based method show age- and race-dependence, which is consistent with literature using mammography-based methods. Purpose The purpose of this study was to evaluate the age‐ and race‐dependence of the breast fibroglandular tissue density based on three‐dimensional breast MRI. Methods The normal breasts of 321 consecutive patients including Caucasians, Asians, and Hispanics were studied. The subjects were separated into three age groups: Younger than 45, between 45 and 55, and older than 55. Computer algorithms based on body landmarks were used to segment the breast, and fuzzy c‐means algorithm was used to segment the fibroglandular tissue. Linear regression analysis was applied to compare mean differences among different age groups and race/ethnicity groups. The obtained parameters were not normally distributed, and the transformed data, natural log (ln) for the fibroglandular tissue volume, and the square root for the percent density were used for statistical analysis. Results On the average, the transformed fibroglandular tissue volume and percent density decreased significantly with age. Racial differences in mean transformed percent density were found among women older than 45, but not among women younger than 45. Mean percent density was higher in Asians compared to Caucasians and Hispanics; the difference remained significant after adjustment for age, but not significant after adjusted for both age and breast volume. There was no significant difference in the density between the Caucasians and the Hispanics. Conclusions The results analyzed using the MRI‐based method show age‐ and race‐dependence, which is consistent with literature using mammography‐based methods. |
| Author | Chan, Siwa Chen, Jeon-Hor Tseng, Tiffany Chau, Man-Kwun McLaren, Christine E. Nalcioglu, Orhan Su, Min-Ying Nguyen, Hoanglong Huang, Yuhong Nie, Ke |
| Author_xml | – sequence: 1 givenname: Ke surname: Nie fullname: Nie, Ke organization: Tu and Yuen Center for Functional Onco-Imaging, Irvine, California 92697 – sequence: 2 givenname: Min-Ying surname: Su fullname: Su, Min-Ying organization: Tu and Yuen Center for Functional Onco-Imaging, Irvine, California 92697 – sequence: 3 givenname: Man-Kwun surname: Chau fullname: Chau, Man-Kwun organization: Tu and Yuen Center for Functional Onco-Imaging, Irvine, California 92697 and Department of Radiology, China Medical University Hospital, Taichung 404, Taiwan – sequence: 4 givenname: Siwa surname: Chan fullname: Chan, Siwa organization: Tu and Yuen Center for Functional Onco-Imaging, Irvine, California 92697 and Department of Radiology, China Medical University Hospital, Taichung 404, Taiwan – sequence: 5 givenname: Hoanglong surname: Nguyen fullname: Nguyen, Hoanglong organization: Tu and Yuen Center for Functional Onco-Imaging, Irvine, California 92697 – sequence: 6 givenname: Tiffany surname: Tseng fullname: Tseng, Tiffany organization: Tu and Yuen Center for Functional Onco-Imaging, Irvine, California 92697 – sequence: 7 givenname: Yuhong surname: Huang fullname: Huang, Yuhong organization: Chao Family Comprehensive Cancer Center, Orange, California 92868 – sequence: 8 givenname: Christine E. surname: McLaren fullname: McLaren, Christine E. organization: Department of Epidemiology, University of California, Irvine, California 92697 – sequence: 9 givenname: Orhan surname: Nalcioglu fullname: Nalcioglu, Orhan organization: Tu and Yuen Center for Functional Onco-Imaging, Irvine, California 92697 – sequence: 10 givenname: Jeon-Hor surname: Chen fullname: Chen, Jeon-Hor email: jeonhc@uci.edu organization: Tu and Yuen Center for Functional Onco-Imaging, Irvine, California 92697 and Department of Radiology, China Medical University Hospital, Taichung 404, Taiwan |
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| Copyright | American Association of Physicists in Medicine 2010 American Association of Physicists in Medicine Copyright © 2010 American Association of Physicists in Medicine 2010 American Association of Physicists in Medicine |
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| Keywords | breast segmentation fibroglandular tissue segmentation three-dimensional MRI fuzzy C-means quantitative breast density |
| Language | English |
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| Notes | jeonhc@uci.edu Author to whom correspondence should be addressed. Electronic mail 0094‐2405/2010/37(6)/2770/7/$30.00 Present address: CFOI, 164 Irvine Hall, University of California, Irvine, CA 92697‐5020; Telephone: (949) 824‐9327; Fax: (949) 824‐3481. ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Author to whom correspondence should be addressed. Electronic mail: jeonhc@uci.edu; Present address: CFOI, 164 Irvine Hall, University of California, Irvine, CA 92697-5020; Telephone: (949) 824-9327; Fax: (949) 824-3481. |
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The purpose of this study was to evaluate the age- and race-dependence of the breast fibroglandular tissue density based on three-dimensional breast... Purpose The purpose of this study was to evaluate the age‐ and race‐dependence of the breast fibroglandular tissue density based on three‐dimensional breast... The purpose of this study was to evaluate the age- and race-dependence of the breast fibroglandular tissue density based on three-dimensional breast MRI. The... The purpose of this study was to evaluate the age- and race-dependence of the breast fibroglandular tissue density based on three-dimensional breast... Purpose: The purpose of this study was to evaluate the age- and race-dependence of the breast fibroglandular tissue density based on three-dimensional breast... |
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| SubjectTerms | Adult Age Distribution Aged Aged, 80 and over Anatomic imaging biological organs biological tissues biomedical MRI Breast - anatomy & histology Breast - physiology breast segmentation Cancer Clinical applications Continental Population Groups - statistics & numerical data Data analysis Densitometry - statistics & numerical data Density measurement Female fibroglandular tissue segmentation fuzzy C‐means fuzzy set theory gynaecology Humans image segmentation Linear regression Magnetic resonance imaging Magnetic Resonance Imaging - statistics & numerical data Male Mammography medical image processing Medical imaging Middle Aged Probability theory, stochastic processes, and statistics quantitative breast density regression analysis Reproducibility of Results Segmentation Sensitivity and Specificity Statistical analysis three‐dimensional MRI Tissue Measurements Tissues United States - epidemiology |
| Title | Age- and race-dependence of the fibroglandular breast density analyzed on 3D MRI |
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