Quantitative breast density analysis using tomosynthesis and comparison with MRI and digital mammography

Woo Kyung Moon, Jie Fan Chang, Chung Ming Lo, Jung Min Chang, Su Hyun Lee, Sung Ui Shin, Chiun Sheng Huang, Ruey Feng Chang

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Background and Objective Breast density at mammography has been used as markers of breast cancer risk. However, newly introduced tomosynthesis and computer-aided quantitative method could provide more reliable breast density evaluation. Methods In the experiment, 98 tomosynthesis image volumes were obtained from 98 women. For each case, an automatic skin removal was used and followed by a fuzzy c-mean (FCM) classifier which separated the fibroglandular tissues from other tissues in breast area. Finally, percent of breast density and breast volume were calculated and the results were compared with MRI. In addition, the percent of breast density and breast area of digital mammography calculated using the software Cumulus (University of Toronto, Toronto, ON, Canada.) were also compared with 3-D modalities. Results Percent of breast density and breast volume, which were computed from tomosynthesis, MRI and digital mammography were 17.37% ± 4.39% and 607.12 cm3 ± 323.01 cm3, 20.3% ± 8.6% and 537.59 cm3 ± 287.74 cm3, and 12.03% ± 4.08%, respectively. There were significant correlations on breast density as well as volume between tomosynthesis and MRI (R = 0.482 and R = 0.805), tomosynthesis and breast density with breast area of digital mammography (R = 0.789 and R = 0.877), and MRI and breast density with breast area of digital mammography (R = 0.482 and R = 0.857) (all P values <.001). Conclusions Breast density and breast volume evaluated from tomosynthesis, MRI and breast density and breast area of digital mammographic images have significant correlations and indicate that tomosynthesis could provide useful 3-D information on breast density through proposed method.

Original languageEnglish
Pages (from-to)99-107
Number of pages9
JournalComputer Methods and Programs in Biomedicine
Volume154
DOIs
Publication statusPublished - Feb 1 2018

Fingerprint

Mammography
Magnetic resonance imaging
Breast
Tissue
Skin
Classifiers
Breast Density
Canada
Experiments
Software
Breast Neoplasms

Keywords

  • Breast density
  • Digital mammography
  • Fuzzy c-mean clustering
  • MRI
  • Tomosynthesis

ASJC Scopus subject areas

  • Software
  • Computer Science Applications
  • Health Informatics

Cite this

Quantitative breast density analysis using tomosynthesis and comparison with MRI and digital mammography. / Moon, Woo Kyung; Chang, Jie Fan; Lo, Chung Ming; Chang, Jung Min; Lee, Su Hyun; Shin, Sung Ui; Huang, Chiun Sheng; Chang, Ruey Feng.

In: Computer Methods and Programs in Biomedicine, Vol. 154, 01.02.2018, p. 99-107.

Research output: Contribution to journalArticle

Moon, Woo Kyung ; Chang, Jie Fan ; Lo, Chung Ming ; Chang, Jung Min ; Lee, Su Hyun ; Shin, Sung Ui ; Huang, Chiun Sheng ; Chang, Ruey Feng. / Quantitative breast density analysis using tomosynthesis and comparison with MRI and digital mammography. In: Computer Methods and Programs in Biomedicine. 2018 ; Vol. 154. pp. 99-107.
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abstract = "Background and Objective Breast density at mammography has been used as markers of breast cancer risk. However, newly introduced tomosynthesis and computer-aided quantitative method could provide more reliable breast density evaluation. Methods In the experiment, 98 tomosynthesis image volumes were obtained from 98 women. For each case, an automatic skin removal was used and followed by a fuzzy c-mean (FCM) classifier which separated the fibroglandular tissues from other tissues in breast area. Finally, percent of breast density and breast volume were calculated and the results were compared with MRI. In addition, the percent of breast density and breast area of digital mammography calculated using the software Cumulus (University of Toronto, Toronto, ON, Canada.) were also compared with 3-D modalities. Results Percent of breast density and breast volume, which were computed from tomosynthesis, MRI and digital mammography were 17.37{\%} ± 4.39{\%} and 607.12 cm3 ± 323.01 cm3, 20.3{\%} ± 8.6{\%} and 537.59 cm3 ± 287.74 cm3, and 12.03{\%} ± 4.08{\%}, respectively. There were significant correlations on breast density as well as volume between tomosynthesis and MRI (R = 0.482 and R = 0.805), tomosynthesis and breast density with breast area of digital mammography (R = 0.789 and R = 0.877), and MRI and breast density with breast area of digital mammography (R = 0.482 and R = 0.857) (all P values <.001). Conclusions Breast density and breast volume evaluated from tomosynthesis, MRI and breast density and breast area of digital mammographic images have significant correlations and indicate that tomosynthesis could provide useful 3-D information on breast density through proposed method.",
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AB - Background and Objective Breast density at mammography has been used as markers of breast cancer risk. However, newly introduced tomosynthesis and computer-aided quantitative method could provide more reliable breast density evaluation. Methods In the experiment, 98 tomosynthesis image volumes were obtained from 98 women. For each case, an automatic skin removal was used and followed by a fuzzy c-mean (FCM) classifier which separated the fibroglandular tissues from other tissues in breast area. Finally, percent of breast density and breast volume were calculated and the results were compared with MRI. In addition, the percent of breast density and breast area of digital mammography calculated using the software Cumulus (University of Toronto, Toronto, ON, Canada.) were also compared with 3-D modalities. Results Percent of breast density and breast volume, which were computed from tomosynthesis, MRI and digital mammography were 17.37% ± 4.39% and 607.12 cm3 ± 323.01 cm3, 20.3% ± 8.6% and 537.59 cm3 ± 287.74 cm3, and 12.03% ± 4.08%, respectively. There were significant correlations on breast density as well as volume between tomosynthesis and MRI (R = 0.482 and R = 0.805), tomosynthesis and breast density with breast area of digital mammography (R = 0.789 and R = 0.877), and MRI and breast density with breast area of digital mammography (R = 0.482 and R = 0.857) (all P values <.001). Conclusions Breast density and breast volume evaluated from tomosynthesis, MRI and breast density and breast area of digital mammographic images have significant correlations and indicate that tomosynthesis could provide useful 3-D information on breast density through proposed method.

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KW - Digital mammography

KW - Fuzzy c-mean clustering

KW - MRI

KW - Tomosynthesis

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