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Comment
. 2021 Jun 14;5(4):pkab051.
doi: 10.1093/jncics/pkab051. eCollection 2021 Aug.

RE: Chemopreventive Agents to Reduce Mammographic Breast Density in Premenopausal Women: A Systematic Review of Clinical Trials

John L Hopper  1 , Tuong L Nguyen  1 , Shuai Li  1
Affiliations
Comment

RE: Chemopreventive Agents to Reduce Mammographic Breast Density in Premenopausal Women: A Systematic Review of Clinical Trials

John L Hopper et al. JNCI Cancer Spectr. .
No abstract available

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  • Reply to Hopper, Nguyen, and Li.
    Salazar AS, Toriola AT. Salazar AS, et al. JNCI Cancer Spectr. 2021 Jun 14;5(4):pkab052. doi: 10.1093/jncics/pkab052. eCollection 2021 Aug. JNCI Cancer Spectr. 2021. PMID: 34377933 Free PMC article. No abstract available.

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References

    1. Salazar AS, Rakhmankulova M, Simon LE, Totiola AT.. Chemopreventive agents to reduce mammographic breast density in premenopausal women: a systematic review of clinical trials. JNCI Cancer Spectrum. 2021;5(1):pkaa125. - PMC - PubMed
    1. Nguyen TL, Aung YK, Evans CF, et al. Mammographic density defined by higher than conventional brightness threshold better predicts breast cancer risk for full-field digital mammograms. Breast Cancer Res. 2015;17(1):142. - PMC - PubMed
    1. Nguyen TL, Aung YK, Evans CF, et al. Mammographic density defined by higher than conventional brightness thresholds better predicts breast cancer risk. Int J Epidemiol. 2017;46(2):652–661. - PMC - PubMed
    1. Nguyen TL, Aung YK, Li S, et al. Predicting interval and screen-detected breast cancers from mammographic density defined by different brightness thresholds. Breast Cancer Res. 2018;20(1):152. - PMC - PubMed
    1. Schmidt DF, Makalic E, Goudey B, et al. Cirrus: an automated mammography-based measure of breast cancer risk based on textural features. JNCI Cancer Spectrum. 2018;2(4):pky057. - PMC - PubMed

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