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ABUS-based glandular tissue component classification for breast cancer risk prediction in Chinese women with dense breasts: a retrospective study.

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Title: ABUS-based glandular tissue component classification for breast cancer risk prediction in Chinese women with dense breasts: a retrospective study.
Authors: Huang JN; The Fourth School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou First People's Hospital, Hangzhou, China., Yan HJ; Department of Ultrasound, Hangzhou First People's Hospital, Hangzhou, China., Qiu YX; Department of Ultrasound, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, China., Dai CC; Department of Ultrasound, Hangzhou First People's Hospital, Hangzhou, China., Yu LF; Department of Ultrasound, Hangzhou First People's Hospital, Hangzhou, China., Tan YJ; Department of Ultrasound, Hangzhou First People's Hospital, Hangzhou, China., Ye KY; Department of Ultrasound, Hangzhou First People's Hospital, Hangzhou, China., Gao TT; Department of Ultrasound, Hangzhou First People's Hospital, Hangzhou, China., Bao LY; Department of Ultrasound, Hangzhou First People's Hospital, Hangzhou, China. baolingyun2021@163.com.; Chair of Ultrasonography Department, Hangzhou First People's Hospital, No.261 Huansha Road Hangzhou, Hangzhou, 310006, China. baolingyun2021@163.com.
Source: BMC medical imaging [BMC Med Imaging] 2026 Jan 29; Vol. 26 (1). Date of Electronic Publication: 2026 Jan 29.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100968553 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2342 (Electronic) Linking ISSN: 14712342 NLM ISO Abbreviation: BMC Med Imaging Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: ABUS-based glandular tissue component classification for breast cancer risk prediction in Chinese women with dense breasts: a retrospective study.
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  Data: <searchLink fieldCode="AU" term="%22Huang+JN%22">Huang JN</searchLink>; The Fourth School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou First People's Hospital, Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22Yan+HJ%22">Yan HJ</searchLink>; Department of Ultrasound, Hangzhou First People's Hospital, Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22Qiu+YX%22">Qiu YX</searchLink>; Department of Ultrasound, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22Dai+CC%22">Dai CC</searchLink>; Department of Ultrasound, Hangzhou First People's Hospital, Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22Yu+LF%22">Yu LF</searchLink>; Department of Ultrasound, Hangzhou First People's Hospital, Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22Tan+YJ%22">Tan YJ</searchLink>; Department of Ultrasound, Hangzhou First People's Hospital, Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22Ye+KY%22">Ye KY</searchLink>; Department of Ultrasound, Hangzhou First People's Hospital, Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22Gao+TT%22">Gao TT</searchLink>; Department of Ultrasound, Hangzhou First People's Hospital, Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22Bao+LY%22">Bao LY</searchLink>; Department of Ultrasound, Hangzhou First People's Hospital, Hangzhou, China. baolingyun2021@163.com.; Chair of Ultrasonography Department, Hangzhou First People's Hospital, No.261 Huansha Road Hangzhou, Hangzhou, 310006, China. baolingyun2021@163.com.
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  Data: <searchLink fieldCode="JN" term="%22100968553%22">BMC medical imaging</searchLink> [BMC Med Imaging] 2026 Jan 29; Vol. 26 (1). <i>Date of Electronic Publication: </i>2026 Jan 29.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central%22">BioMed Central </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>100968553 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1471-2342 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214712342%22">14712342 </searchLink><i>NLM ISO Abbreviation: </i>BMC Med Imaging <i>Subsets: </i>MEDLINE
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        Value: 10.1186/s12880-026-02190-w
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        Text: English
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      – TitleFull: ABUS-based glandular tissue component classification for breast cancer risk prediction in Chinese women with dense breasts: a retrospective study.
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            – D: 29
              M: 01
              Text: 2026 Jan 29
              Type: published
              Y: 2026
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