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Glandular Tissue Component on Breast Ultrasound in Dense Breasts: A New Imaging Biomarker for Breast Cancer Risk.

作者信息

Lee Su Hyun, Moon Woo Kyung

机构信息

Department of Radiology, Seoul National University Hospital, Seoul, Korea.

出版信息

Korean J Radiol. 2022 Jun;23(6):574-580. doi: 10.3348/kjr.2022.0099.

DOI:10.3348/kjr.2022.0099
PMID:35617993
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9174505/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2640/9174505/3d650cb483fb/kjr-23-574-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2640/9174505/ed72f023be5b/kjr-23-574-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2640/9174505/ba27c77da526/kjr-23-574-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2640/9174505/3d650cb483fb/kjr-23-574-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2640/9174505/ed72f023be5b/kjr-23-574-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2640/9174505/ba27c77da526/kjr-23-574-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2640/9174505/3d650cb483fb/kjr-23-574-g003.jpg

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Nat Med. 2022 Jan;28(1):136-143. doi: 10.1038/s41591-021-01599-w. Epub 2022 Jan 13.
2
Glandular Tissue Component and Breast Cancer Risk in Mammographically Dense Breasts at Screening Breast US.筛查乳腺超声检查中乳腺钼靶致密型乳腺的腺组织成分与乳腺癌风险
Radiology. 2021 Oct;301(1):57-65. doi: 10.1148/radiol.2021210367. Epub 2021 Jul 20.
3
Screening Algorithms in Dense Breasts: Expert Panel Narrative Review.
基于深度学习的临床乳腺超声图像预测乳腺钼靶密度：一项回顾性分析。
Lancet Reg Health Am. 2025 Apr 18;46:101096. doi: 10.1016/j.lana.2025.101096. eCollection 2025 Jun.
4
Relationship between breast tissue involution and breast cancer.乳腺组织退化与乳腺癌之间的关系。
Front Oncol. 2025 Apr 7;15:1420350. doi: 10.3389/fonc.2025.1420350. eCollection 2025.
5
Using artificial intelligence system for assisting the classification of breast ultrasound glandular tissue components in dense breast tissue.使用人工智能系统辅助对致密乳腺组织中的乳腺超声腺体组织成分进行分类。
Sci Rep. 2025 Apr 6;15(1):11754. doi: 10.1038/s41598-025-95871-5.
6
Preliminary study of standardized semiquantitative method for ultrasonographic breast composition assessment.超声乳腺成分评估标准化半定量方法的初步研究。
J Med Ultrason (2001). 2024 Jul;51(3):497-505. doi: 10.1007/s10396-024-01463-7. Epub 2024 May 3.
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Beyond BI-RADS: Nonmass Abnormalities on Breast Ultrasound.超越 BI-RADS：乳腺超声的非肿块性异常。
Korean J Radiol. 2024 Feb;25(2):134-145. doi: 10.3348/kjr.2023.0769. Epub 2024 Jan 10.
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