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Evaluation of breast composition for Japanese women using the breast radiological density by Quantra® software
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- Sasaki Miyuki
- Tokyo Health Service Association
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- Ban Kanako
- Tokyo Health Service Association
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- Togashi Seiko
- Tokyo Health Service Association
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- Kawakami Mutsumi
- Tokyo Health Service Association
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- Kawaguchi Yuko
- Tokyo Health Service Association
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- Koga Tomoko
- Tokyo Health Service Association
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- Ito Hiromi
- Tokyo Health Service Association
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- Hosoya Sayuri
- Tokyo Health Service Association
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- Yagi Mao
- Tokyo Health Service Association
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- Ono Yoshiki
- Tokyo Health Service Association
Bibliographic Information
- Other Title
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- 乳房密度評価ソフトウェアQuantra®を用いた日本人女性の乳房構成の評価に関する検討
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Description
Recently, dense breast program, whether to report breast composition to women who have undergone screening has become an important issue. For qualitative assessment of the breast density, various software programs have been developed and installed on the mammography apparatus. For Quantra®, the cutoff values have been calculated in Europe and the United States, but there are no reports of the optimal cutoff values for Japanese and other Asian women. We examined the optimal cutoff values for Quantra® in Japanese women. The results showed that the cutoff values for discriminating between dense breasts and non-dense breasts was 26%. When the breast thickness was less than 30 mm, it tended to be visually assessed as having a higher density, but the software cutoff value was 32%. Therefore, it was verified that it was different from 30 mm or more. Quantitative judgment may be inferior to the assessment of experienced interpreters, but we think that software-based quantitative judgment may be helpful in cases which evaluation is divided among the interpreters.
Journal
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- Nihon Nyugan Kenshin Gakkaishi (Journal of Japan Association of Breast Cancer Screening)
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Nihon Nyugan Kenshin Gakkaishi (Journal of Japan Association of Breast Cancer Screening) 30 (1), 81-85, 2021
Japan Association of Breast Cancer Screening
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Details 詳細情報について
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- CRID
- 1390287540630866560
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- NII Article ID
- 130008014089
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- ISSN
- 18826873
- 09180729
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- Text Lang
- ja
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed