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Reply to Hopper, Nguyen, and Li.
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本文引用的文献
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Chemoprevention Agents to Reduce Mammographic Breast Density in Premenopausal Women: A Systematic Review of Clinical Trials.
JNCI Cancer Spectr. 2021 Jan 22;5(1). doi: 10.1093/jncics/pkaa125. eCollection 2021 Feb.
2
Novel mammogram-based measures improve breast cancer risk prediction beyond an established mammographic density measure.
Int J Cancer. 2021 May 1;148(9):2193-2202. doi: 10.1002/ijc.33396. Epub 2020 Dec 4.
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Going Beyond Conventional Mammographic Density to Discover Novel Mammogram-Based Predictors of Breast Cancer Risk.
J Clin Med. 2020 Feb 26;9(3):627. doi: 10.3390/jcm9030627.
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Cirrus: An Automated Mammography-Based Measure of Breast Cancer Risk Based on Textural Features.
JNCI Cancer Spectr. 2018 Dec 7;2(4):pky057. doi: 10.1093/jncics/pky057. eCollection 2018 Oct.
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Predicting interval and screen-detected breast cancers from mammographic density defined by different brightness thresholds.
Breast Cancer Res. 2018 Dec 13;20(1):152. doi: 10.1186/s13058-018-1081-0.
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Mammographic density defined by higher than conventional brightness thresholds better predicts breast cancer risk.
Int J Epidemiol. 2017 Apr 1;46(2):652-661. doi: 10.1093/ije/dyw212.
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Mammographic density defined by higher than conventional brightness threshold better predicts breast cancer risk for full-field digital mammograms.
Breast Cancer Res. 2015 Nov 18;17:142. doi: 10.1186/s13058-015-0654-4.
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