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Analysis of parenchymal texture with digital breast tomosynthesis : Comparison with digital mammography and implications for cancer risk assessment

Kontos, Despina ; Ikejimba, Lynda C. ; Bakic, Predrag R. LU ; Troxel, Andrea B. ; Conant, Emily F. and Maidment, Andrew D.A. (2011) In Radiology 261(1). p.80-91
Abstract

Purpose:To correlate the parenchymal texture features at digital breast tomosynthesis(DBT)and digital mammography with breast percent density(PD), an established breast cancer risk factor, in a screening population of women. Materials and Methods: This HIPAA-compliant study was approved by the institutional review board. Bilateral DBT images and digital mammograms from 71 women (mean age, 54 years; age range, 34-75 years) with negative or benign findings at screening mammography were retrospectively collected from a separate institutional review board-approved DBT screening trial(performed from July 2007 to March 2008) in which all women had given written informed consent. Parenchymal texture features of skewness, coarseness, contrast,... (More)

Purpose:To correlate the parenchymal texture features at digital breast tomosynthesis(DBT)and digital mammography with breast percent density(PD), an established breast cancer risk factor, in a screening population of women. Materials and Methods: This HIPAA-compliant study was approved by the institutional review board. Bilateral DBT images and digital mammograms from 71 women (mean age, 54 years; age range, 34-75 years) with negative or benign findings at screening mammography were retrospectively collected from a separate institutional review board-approved DBT screening trial(performed from July 2007 to March 2008) in which all women had given written informed consent. Parenchymal texture features of skewness, coarseness, contrast, energy, homogeneity, and fractal dimension were computed from the retroareolar region. Principal component analysis(PCA) was applied to obtain orthogonal texture components. Mammographic PD was estimated with software. Correlation analysis and multiple linear regression with generalized estimating equations were performed to determine the association between texture features and breast PD. Regression was adjusted for age to determine the independent association of texture to breast PD when age was also considered as a predictor variable. Results: Texture feature correlations to breast PD were stronger with DBT than with digital mammography. Statistically significant correlations(P < .001)were observed for contrast (r = 0.48), energy(r = - 0.47), and homogeneity (r = - 0.56)at DBT and for contrast(r = 0.26), energy (r = - 0.26), and homogeneity(r = - 0.33)at digital mammography. Multiple linear regression analysis of PCA texture components as predictors of PD also demonstrated significantly stronger associations with DBT. The association was strongest when age was also considered as a predictor of PD(R2 = 0.41 for DBT and 0.28 for digital mammography; P < .001). Conclusion:Parenchymal texture features are more strongly correlated to breast PD in DBT than in digital mammography. The authors' long-term hypothesis is that parenchymal texture analysis with DBT will result in quantitative imaging biomarkers that can improve the estimation of breast cancer risk.

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publishing date
type
Contribution to journal
publication status
published
subject
in
Radiology
volume
261
issue
1
pages
12 pages
publisher
Radiological Society of North America
external identifiers
  • pmid:21771961
  • scopus:80053088808
ISSN
0033-8419
DOI
10.1148/radiol.11100966
language
English
LU publication?
no
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1c3adcf8-4c01-4875-8166-6aeff785f191
date added to LUP
2020-11-07 13:14:51
date last changed
2024-02-17 06:50:14
@article{1c3adcf8-4c01-4875-8166-6aeff785f191,
  abstract     = {{<p>Purpose:To correlate the parenchymal texture features at digital breast tomosynthesis(DBT)and digital mammography with breast percent density(PD), an established breast cancer risk factor, in a screening population of women. Materials and Methods: This HIPAA-compliant study was approved by the institutional review board. Bilateral DBT images and digital mammograms from 71 women (mean age, 54 years; age range, 34-75 years) with negative or benign findings at screening mammography were retrospectively collected from a separate institutional review board-approved DBT screening trial(performed from July 2007 to March 2008) in which all women had given written informed consent. Parenchymal texture features of skewness, coarseness, contrast, energy, homogeneity, and fractal dimension were computed from the retroareolar region. Principal component analysis(PCA) was applied to obtain orthogonal texture components. Mammographic PD was estimated with software. Correlation analysis and multiple linear regression with generalized estimating equations were performed to determine the association between texture features and breast PD. Regression was adjusted for age to determine the independent association of texture to breast PD when age was also considered as a predictor variable. Results: Texture feature correlations to breast PD were stronger with DBT than with digital mammography. Statistically significant correlations(P &lt; .001)were observed for contrast (r = 0.48), energy(r = - 0.47), and homogeneity (r = - 0.56)at DBT and for contrast(r = 0.26), energy (r = - 0.26), and homogeneity(r = - 0.33)at digital mammography. Multiple linear regression analysis of PCA texture components as predictors of PD also demonstrated significantly stronger associations with DBT. The association was strongest when age was also considered as a predictor of PD(R<sup>2</sup> = 0.41 for DBT and 0.28 for digital mammography; P &lt; .001). Conclusion:Parenchymal texture features are more strongly correlated to breast PD in DBT than in digital mammography. The authors' long-term hypothesis is that parenchymal texture analysis with DBT will result in quantitative imaging biomarkers that can improve the estimation of breast cancer risk.</p>}},
  author       = {{Kontos, Despina and Ikejimba, Lynda C. and Bakic, Predrag R. and Troxel, Andrea B. and Conant, Emily F. and Maidment, Andrew D.A.}},
  issn         = {{0033-8419}},
  language     = {{eng}},
  number       = {{1}},
  pages        = {{80--91}},
  publisher    = {{Radiological Society of North America}},
  series       = {{Radiology}},
  title        = {{Analysis of parenchymal texture with digital breast tomosynthesis : Comparison with digital mammography and implications for cancer risk assessment}},
  url          = {{http://dx.doi.org/10.1148/radiol.11100966}},
  doi          = {{10.1148/radiol.11100966}},
  volume       = {{261}},
  year         = {{2011}},
}