|Title:||Quantitative breast density analysis using tomosynthesis and comparison with MRI and digital mammography||Authors:||Moon, W.K.
|Issue Date:||2018||Journal Volume:||154||Start page/Pages:||99-107||Source:||Computer Methods and Programs in Biomedicine||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. ? 2017 Elsevier B.V.
|URI:||https://scholars.lib.ntu.edu.tw/handle/123456789/489573||DOI:||10.1016/j.cmpb.2017.11.008||metadata.dc.subject.other:||Histology; Magnetic resonance imaging; Mammography; Tissue; Tomography; Breast density; Digital mammography; Fibroglandular tissue; Fuzzy C mean clustering; Mammographic images; Quantitative method; Tomosynthesis; University of Toronto; Medical imaging; breast density; Canada; classifier; digital mammography; human; major clinical study; nuclear magnetic resonance imaging; skin; software; statistical significance; adult; aged; breast; breast tumor; case control study; comparative study; diagnostic imaging; female; mammography; middle aged; nuclear magnetic resonance imaging; procedures; retrospective study; risk factor; young adult; Adult; Aged; Breast; Breast Density; Breast Neoplasms; Case-Control Studies; Female; Humans; Magnetic Resonance Imaging; Mammography; Middle Aged; Retrospective Studies; Risk Factors; Software; Young Adult
|Appears in Collections:||資訊工程學系|
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