Department of Radiology, Seoul National University College of Medicine and Seoul National University Hospital, Seoul 110-744, Korea.
Department of Computer Science and Information Engineering, National Taiwan University, Taipei 10617, Taiwan.
Comput Methods Programs Biomed. 2018 Feb;154:99-107. doi: 10.1016/j.cmpb.2017.11.008.
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.
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.
Percent of breast density and breast volume, which were computed from tomosynthesis, MRI and digital mammography were 17.37% ± 4.39% and 607.12 cm ± 323.01 cm, 20.3% ± 8.6% and 537.59 cm ± 287.74 cm, 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).
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.
乳腺 X 线摄影中的乳腺密度已被用作乳腺癌风险的标志物。然而，新引入的断层合成和计算机辅助定量方法可以提供更可靠的乳腺密度评估。
在实验中，从 98 名女性中获得了 98 个断层合成图像体积。对于每个病例，使用自动皮肤去除，然后使用模糊 C-均值（FCM）分类器将乳腺区域中的纤维腺体组织与其他组织分开。最后，计算乳腺密度百分比和乳腺体积，并与 MRI 进行比较。此外，还比较了使用软件 Cumulus（加拿大安大略省多伦多大学）计算的数字乳腺 X 线摄影的乳腺密度百分比和乳腺区域与 3-D 方式的结果。
从断层合成、MRI 和数字乳腺 X 线摄影计算出的乳腺密度百分比和乳腺体积分别为 17.37%±4.39%和 607.12±323.01cm，20.3%±8.6%和 537.59±287.74cm，以及 12.03%±4.08%。断层合成与 MRI 之间在乳腺密度以及体积上具有显著相关性（R=0.482 和 R=0.805），断层合成与数字乳腺 X 线摄影的乳腺密度与乳腺区域之间具有显著相关性（R=0.789 和 R=0.877），以及 MRI 与数字乳腺 X 线摄影的乳腺密度与乳腺区域之间具有显著相关性（R=0.482 和 R=0.857）（所有 P 值均<0.001）。
从断层合成、MRI 和数字乳腺 X 线摄影图像评估的乳腺密度和乳腺体积具有显著相关性，表明通过所提出的方法，断层合成可以提供有用的乳腺密度 3-D 信息。
